This application is based on and claims priority under 35 U.S.C. 119 to Korean Patent Application No. 10-2019-0021349, filed on Feb. 22, 2019, in the Korean Intellectual Property Office, the disclosure of which is herein incorporated by reference in its entirety.
The instant disclosure generally relates to an electronic device for searching for content using an input image and a method of controlling the same.
Modern day electronic devices are capable of various service and functions. For example, uses of portable electronic devices such as smart phones have gradually increased. In order to increase these devices' value and satisfy various user needs, communication service 20 providers or electronic device manufacturers have competitively developed electronic devices that are differentiated from those of other companies. Accordingly, various functions provided through electronic devices have become increasingly sophisticated.
A user of an electronic device may configure a background screen (in other words, a background image or wallpaper) on a display included in the electronic device using an image stored in a predetermined application (for example, gallery application) or an image found via the Internet. The user of the electronic device may further configure the background screen or a 30 theme package (for example, wallpaper, icons, fonts, and a lock screen) on the display according to a user's preference by downloading the background screen and the theme package from various theme stores (for example, Samsung Themes application) and configuring the downloaded background screen and theme package on the electronic device.
A method of searching for an image similar to a base or input image of the electronic device may include the operation of transmitting image data to a server to process a large amount of data and receiving found image data from the server. However, in an environment in which data communication is poor, it takes a lot of time for the electronic device to transmit image data for the search to the server and thus it may take an excessively long time to acquire a search result.
Searching for the background image to be applied to the display of the electronic device may be done using a search keyword. However, when the search keyword is simple or generic, search results may be excessively huge. Accordingly, the user of the electronic device may have difficulties selecting the appropriate words in order to acquire an accurate search result.
Further, when the electronic device searches for a theme package (for example, a background image and a package including other theme elements such as icons or fonts) through a keyword search, it may be difficult to search for other theme elements included in the theme package using the same keyword. Accordingly, in order to search for the other desired theme elements, the user of the electronic device may be inconvenienced in that the user would have to a theme package individually from the search result lists and check if the selected theme package has the desired theme elements.
In accordance with an aspect of the disclosure, an electronic device is provided. The electronic device includes: a display; a memory; and at least one processor, wherein the at least one processor is configured to display a first image and one or more objects on the display, acquire a second image in response to a first user input, acquire first information based on the second image and a representing type of at least one of the one or more objects, transmit the acquired first information to a server, receive information on at least one third image related to the first information from the server, display the information on the at least one third image on the display, receive a second user input for selecting the at least one third image, and change the first image into the at least one third image and display the at least one third image on the basis of the second user input.
In accordance with another aspect of the disclosure, a method of controlling an electronic device is provided. The method includes: displaying a first image and one or more objects on a display; acquiring a second image in response to a first user input; acquiring first information based on the second image and a representing type of at least one of the one or more objects; transmitting the acquired first information to a server; receiving information on at least one third image related to the first information from the server; displaying the information on the at least one third image on the display; receiving a second user input for selecting the at least one third image; and changing the first image into the at least one third image and displaying the at least one third image on the display on the basis of the second user input.
In accordance with another aspect of the disclosure, an electronic device is provided. The electronic device includes: a memory; and at least one processor, wherein the at least one processor is configured to receive information on a first image and a representing type of at least one object displayed on a display of an external electronic device from the external electronic device, generate first information based on the first image and the representing type, and transmit information on at least one second image among a plurality of images stored in the memory to the external electronic device on the basis of a determination of similarity using the generated first information.
Additional aspects will be set forth in part in the description which follows and, in part, will be apparent from the description, or may be learned by practice of the presented embodiments.
The above and other aspects, features, and advantages of the disclosure will be more apparent from the following detailed description taken in conjunction with the accompanying drawings, in which:
An electronic device according to an embodiment can transmit information for an image search (for example, feature vector) to a server and rapidly acquire a search result even in an environment in which data communication is poor by storing a customized model for the image search in a memory.
An electronic device according to an embodiment can accurately and conveniently acquire a search result of a background image or a theme package by employing a deep learning-based search of an image.
An electronic device according to an embodiment can search for a theme package including various theme elements (for example, icons and fonts) on the basis of applied theme information.
The processor 120 may execute, for example, software (e.g., a program 140) to control at least one other component (e.g., a hardware or software component) of the electronic device 101 coupled with the processor 120, and may perform various data processing or computation. According to one embodiment, as at least part of the data processing or computation, the processor 120 may load a command or data received from another component (e.g., the sensor module 176 or the communication module 190) in volatile memory 132, process the command or the data stored in the volatile memory 132, and store resulting data in non-volatile memory 134. According to an embodiment, the processor 120 may include a main processor 121 (e.g., a central processing unit (CPU) or an application processor (AP)), and an auxiliary processor 123 (e.g., a graphics processing unit (GPU), an image signal processor (ISP), a sensor hub processor, or a communication processor (CP)) that is operable independently from, or in conjunction with, the main processor 121. Additionally or alternatively, the auxiliary processor 123 may be adapted to consume less power than the main processor 121, or to be specific to a specified function. The auxiliary processor 123 may be implemented as separate from, or as part of the main processor 121.
The auxiliary processor 123 may control at least some of functions or states related to at least one component (e.g., the display device 160, the sensor module 176, or the communication module 190) among the components of the electronic device 101, instead of the main processor 121 while the main processor 121 is in an inactive (e.g., sleep) state, or together with the main processor 121 while the main processor 121 is in an active state (e.g., executing an application). According to an embodiment, the auxiliary processor 123 (e.g., an image signal processor or a communication processor) may be implemented as part of another component (e.g., the camera module 180 or the communication module 190) functionally related to the auxiliary processor 123.
The memory 130 may store various data used by at least one component (e.g., the processor 120 or the sensor module 176) of the electronic device 101. The various data may include, for example, software (e.g., the program 140) and input data or output data for a command related thereto. The memory 130 may include the volatile memory 132 or the non-volatile memory 134.
The program 140 may be stored in the memory 130 as software, and may include, for example, an operating system (OS) 142, middleware 144, or an application 146.
The input device 150 may receive a command or data to be used by other component (e.g., the processor 120) of the electronic device 101, from the outside (e.g., a user) of the electronic device 101. The input device 150 may include, for example, a microphone, a mouse, a keyboard, or a digital pen (e.g., a stylus pen).
The sound output device 155 may output sound signals to the outside of the electronic device 101. The sound output device 155 may include, for example, a speaker or a receiver. The speaker may be used for general purposes, such as playing multimedia or playing recordings, and the receiver may be used for an incoming calls. According to an embodiment, the receiver may be implemented as separate from, or as part of the speaker.
The display device 160 may visually provide information to the outside (e.g., a user) of the electronic device 101. The display device 160 may include, for example, a display, a hologram device, or a projector and control circuitry to control a corresponding one of the display, hologram device, and projector. According to an embodiment, the display device 160 may include touch circuitry adapted to detect a touch, or sensor circuitry (e.g., a pressure sensor) adapted to measure the intensity of force incurred by the touch.
The audio module 170 may convert a sound into an electrical signal and vice versa. According to an embodiment, the audio module 170 may obtain the sound via the input device 150, or output the sound via the sound output device 155 or a headphone of an external electronic device (e.g., an electronic device 102) directly (e.g., wiredly) or wirelessly coupled with the electronic device 101.
The sensor module 176 may detect an operational state (e.g., power or temperature) of the electronic device 101 or an environmental state (e.g., a state of a user) external to the electronic device 101, and then generate an electrical signal or data value corresponding to the detected state. According to an embodiment, the sensor module 176 may include, for example, a gesture sensor, a gyro sensor, an atmospheric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an infrared (IR) sensor, a biometric sensor, a temperature sensor, a humidity sensor, or an illuminance sensor.
The interface 177 may support one or more specified protocols to be used for the electronic device 101 to be coupled with the external electronic device (e.g., the electronic device 102) directly (e.g., wiredly) or wirelessly. According to an embodiment, the interface 177 may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, a secure digital (SD) card interface, or an audio interface.
A connecting terminal 178 may include a connector via which the electronic device 101 may be physically connected with the external electronic device (e.g., the electronic device 102). According to an embodiment, the connecting terminal 178 may include, for example, a HDMI connector, a USB connector, a SD card connector, or an audio connector (e.g., a headphone connector).
The haptic module 179 may convert an electrical signal into a mechanical stimulus (e.g., a vibration or a movement) or electrical stimulus which may be recognized by a user via his or her tactile sensation or kinesthetic sensation. According to an embodiment, the haptic module 179 may include, for example, a motor, a piezoelectric element, or an electric stimulator.
The camera module 180 may capture a still image or moving images. According to an embodiment, the camera module 180 may include one or more lenses, image sensors, image signal processors, or flashes.
The power management module 188 may manage power supplied to the electronic device 101. According to one embodiment, the power management module 188 may be implemented as at least part of, for example, a power management integrated circuit (PMIC).
The battery 189 may supply power to at least one component of the electronic device 101. According to an embodiment, the battery 189 may include, for example, a primary cell which is not rechargeable, a secondary cell which is rechargeable, or a fuel cell.
The communication module 190 may support establishing a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device 101 and the external electronic device (e.g., the electronic device 102, the electronic device 104, or the server 108) and performing communication via the established communication channel. The communication module 190 may include one or more communication processors that are operable independently from the processor 120 (e.g., the application processor (AP)) and supports a direct (e.g., wired) communication or a wireless communication. According to an embodiment, the communication module 190 may include a wireless communication module 192 (e.g., a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module 194 (e.g., a local area network (LAN) communication module or a power line communication (PLC) module). A corresponding one of these communication modules may communicate with the external electronic device via the first network 198 (e.g., a short-range communication network, such as Bluetooth™, wireless-fidelity (Wi-Fi) direct, or infrared data association (IrDA)) or the second network 199 (e.g., a long-range communication network, such as a cellular network, the Internet, or a computer network (e.g., LAN or wide area network (WAN)). These various types of communication modules may be implemented as a single component (e.g., a single chip), or may be implemented as multi components (e.g., multi chips) separate from each other. The wireless communication module 192 may identify and authenticate the electronic device 101 in a communication network, such as the first network 198 or the second network 199, using subscriber information (e.g., international mobile subscriber identity (IMSI)) stored in the subscriber identification module 196.
The antenna module 197 may transmit or receive a signal or power to or from the outside (e.g., the external electronic device) of the electronic device 101. According to an embodiment, the antenna module 197 may include an antenna including a radiating element composed of a conductive material or a conductive pattern formed in or on a substrate (e.g., PCB). According to an embodiment, the antenna module 197 may include a plurality of antennas. In such a case, at least one antenna appropriate for a communication scheme used in the communication network, such as the first network 198 or the second network 199, may be selected, for example, by the communication module 190 (e.g., the wireless communication module 192) from the plurality of antennas. The signal or the power may then be transmitted or received between the communication module 190 and the external electronic device via the selected at least one antenna. According to an embodiment, another component (e.g., a radio frequency integrated circuit (RFIC)) other than the radiating element may be additionally formed as part of the antenna module 197.
At least some of the above-described components may be coupled mutually and communicate signals (e.g., commands or data) therebetween via an inter-peripheral communication scheme (e.g., a bus, general purpose input and output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI)).
According to an embodiment, commands or data may be transmitted or received between the electronic device 101 and the external electronic device 104 via the server 108 coupled with the second network 199. Each of the electronic devices 102 and 104 may be a device of a same type as, or a different type, from the electronic device 101. According to an embodiment, all or some of operations to be executed at the electronic device 101 may be executed at one or more of the external electronic devices 102, 104, or 108. For example, if the electronic device 101 should perform a function or a service automatically, or in response to a request from a user or another device, the electronic device 101, instead of, or in addition to, executing the function or the service, may request the one or more external electronic devices to perform at least part of the function or the service. The one or more external electronic devices receiving the request may perform the at least part of the function or the service requested, or an additional function or an additional service related to the request, and transfer an outcome of the performing to the electronic device 101. The electronic device 101 may provide the outcome, with or without further processing of the outcome, as at least part of a reply to the request. To that end, a cloud computing, distributed computing, or client-server computing technology may be used, for example.
Referring to
According to an embodiment of the disclosure, the theme store 201 may store a plurality of theme packages (for example, the theme package 203). For example, a particular theme package 203 may include at least one of an icon image, a wallpaper image, a lock screen image, a font image, and label information. In other words, the theme package 203 according to an embodiment may be a dataset including at least one of a background screen, an icon, a character, and a lock screen for display in the electronic device. The label information according to an embodiment may include at least one piece of title information of each theme package input by a theme package (or background image) developer, category information, developer information, manufactured date information, or compatibility information (for example, Android version information).
The server 108 according to an embodiment may acquire the theme package 203 from the theme store 201 and acquire a plurality of image data 207-1 to 207-n and a plurality of metadata 209-1 to 209-m. For example, the plurality of image data 207-1 to 207-n may correspond to the wallpaper image, the lock screen image, the icon image, and font image included in the theme package 203. According to an embodiment, the plurality of metadata 209-1 to 209-m may correspond to title information, category information, developer information, manufactured date information, or capability information included in the label information of the theme package 203.
The server 108 according to an embodiment may learn each of the CNN models 211-1 to 211-n using the plurality of extracted image data 207-1 to 207-n. The learning according to an embodiment may include an operation of repeatedly controlling weights by comparing output values of the CNN models 211-1 to 211-n with actual target values (for example, label information) through, for example, a gradient descent method. For example, the server 108 may store a plurality of theme packages and repeatedly control weights using a plurality of images acquired from the plurality of theme packages.
A weight of one of the CNN models 211-1 to 211-n according to an embodiment may be expressed as, for example, a matrix (for example,
as shown in [Table 1]. For example, K may be 128.
The server 108 according to an embodiment may have a weight matrix for each of the CNN models 211-1 to 211-n.
The server 108 according to an embodiment may generate a plurality of first output values by applying the learned CNN models 211-1 to 211-n to the plurality of extracted image data 207-1 to 207-n. The server 108 according to an embodiment may generate a plurality of 10 second output values by applying the DNN models 213-1 to 213-m to the plurality of extracted metadata 209-1 to 209-m. According to an embodiment, at least one of the first output value and the second output value may be expressed as a vector (for example [c1 c2 . . . cM]) as shown in [Table 2]. According to an embodiment, the CNN models may be applied to the plurality of metadata 209-1 to 209-m.
In [Table 2], the number of the image item may be a number for identifying each of the plurality of theme packages stored in the theme store 201. For example, a background image (for example, image 1) of a first theme package (for example, the theme package 203) may have a vector of [0.7512, 0.3008, 0.0006; . . . , 0.6446], and a background image (for example, image 2) of a second theme package (not shown) may include a vector of [0.5477, 0.084, 0.3272; . . . , 1.8809].
The server 108 according to an embodiment may generate at least one second feature vector 217 by combining a plurality of first output values from the plurality of CNN models 211-1 to 211-n and a plurality of second output values from the plurality of DNN models 213-1 to 213-m through an ensemble layer. One second feature vector 217 may correspond to one theme package 203.
The ensemble layer according to an embodiment may be a model for performing dimension reduction and/or concatenation for a plurality of feature vectors (for example, first and second output values) and generating a feature vector (for example, the second feature vector 217) combined by the dimension reduction and/or concatenation. The second feature vector 217 according to an embodiment may be expressed as a vector (for example [b1 . . . bN]) as shown in [Table 3].
In the instant disclosure, a model including the learned CNN models 211-1 to 211-n, the DNN models 213-1 to 213-m, and the ensemble layer 215 may be referred to as the customized model 205. According to an embodiment, the server 108 may pre-store a plurality of second feature vectors (for example, the second feature vector 217) corresponding to a plurality of respective theme packages generated using a plurality of image data (for example, the image data 207-1 to 207-n) and a plurality of metadata (for example, the metadata 209-1 to 209-m) extracted from a plurality of various theme packages (for example, the theme package 203) through the customized model 205.
Referring to
The electronic device 101 according to an embodiment may generate a first feature vector 303 from the first image 301 using the customized model 205. For example, the first image 301 may include an image selected by the user through various applications of the electronic device 101 (for example, gallery application, camera application, theme store application, and Internet browser application). The electronic device 101 according to an embodiment may generate the first feature vector 303 by applying a representing type (for example, icon image, font image, or lock screen image) of at least one object (for example, icon, font, or lock screen) displayed on a display (for example, the display device 160 of
The electronic device 101 according to an embodiment may transmit the generated first feature vector 303 to the server 108, and the server 108 may determine similarity between the received first feature vector 303 and a plurality of pre-stored second feature vectors (for example, the second feature vector 217). For example, the determination of the similarity may be performed using a Euclidean distance between the first feature vector 303 and the plurality of second feature vectors (for example, the second feature vector 217) (for example, Equation (1)) or cosine similarity (for example, Equation (2)).
In Equations (1) and (2), “a” denotes a feature vector (for example, the first feature vector 303, expressed as a vector a=[a1 a2 . . . aN]) corresponding to the first image 301 and/or the representing type. In Equation (1), “b” denotes a feature vector (for example, the second feature vector 217 expressed as vector b=[b1 b2 . . . bN]) corresponding to a plurality of theme packages (for example, the theme package 203) stored in the server 108. ∥a∥ and ∥b∥ denote an absolute value of the first feature vector 303 (for example, a=[a1 a2 . . . aN]) and an absolute value of the second feature vector 217 (for example, a=[b1 b2 . . . bN]), respectively. In order to determine similarity, the electronic device 101 according to an embodiment may repeatedly perform Equation (1) on each of the plurality of second feature vectors (for example, the second feature vector 217) stored in the server 108.
The server 108 according to an embodiment may generate recommended theme information 305 including at least one second image having high similarity on the basis of the similarity determination. For example, wallpapers or theme packages 203 having small dist(a,b) in Equation (1) and large sin(a,b) in Equation (2) may be determined to have high similarity.
The server 108 according to an embodiment may provide the generated recommended theme information 305 to the electronic device 101, and the electronic device 101 may display the recommended theme information 305 on a display (for example, the display device 160 of
Referring to
The server 108 according to an embodiment may acquire the first image 301 from the electronic device 101. For example, the server 108 may receive the first image 301 using a long-distance wireless communication network (for example, the second network 199 of
The server 108 according to an embodiment may generate the first feature vector 303 from the acquired first image 301 using the customized model 205. According to an embodiment, the server 108 may generate the first feature vector 303 by applying the first image 301 and the representing type, to the customized model 205.
The server 108 according to an embodiment may determine similarity between the generated first feature vector 303 and each of the plurality of pre-stored second feature vectors (for example, the second feature vector 217). For example, the determination of the similarity may be performed using Euclidean distance (for example, Equation (1)) or cosine similarity (for example, Equation (2)).
The server 108 according to an embodiment may generate recommended theme information 305 including at least one second image having high similarity on the basis of the similarity determination. For example, wallpapers or theme packages 203 having small dist(a,b) in Equation (1) and large sim(a,b) in Equation (2) may be determined to have high similarity.
The server 108 according to an embodiment may provide the generated recommended theme information 305 to the electronic device 101. The electronic device 101 may display the provided recommended theme information 305 on a display (for example, the display device 160 of
The theme information searching system 307 according to an embodiment may include the electronic device 101 and the recommendation system 309 (for example, the server 108 of
Applications 311 according to an embodiment may include at least one of a home application, a dialer application, an SMS/MMS/Instant Message (IM) application, a browser application, a camera application, an alarm application, a contact application, a voice dial application, an email application, a calendar application, a media player application, an album application, a clock application, a health care application (for example, measurement of exercise quantity or blood sugar), or an environmental information (for example, atmospheric pressure, humidity, or temperature information) provision application. The applications 311 according to an embodiment may be driven (for example, executed) on a predetermined operating system (for example, an OS framework 313). The operating system according to various embodiments may include at least one of Android™, iOS™, Windows™, Symbian™, Tizen™, or Bada™. The OS framework 313 according to an embodiment may be a set of services making an environment in which at least one application 311 can be operated and managed.
The operating system (for example, the OS framework) according to an embodiment may include a control module 315. The control module 315 according to an embodiment may be a content provision module that provides a data transmission/reception function between a plurality of applications. The control module 315 according to an embodiment may provide recommended theme information from a theme store client 317 to the applications 311. The control module 315 according to an embodiment may provide at least one image from the applications 311 to the theme store client 317. The control module 315 according to an embodiment may control the theme store client 317 to provide a feature vector or at least one image to the recommendation system 309 through at least one communication circuit (for example, a communication processor).
The theme store client 317 according to an embodiment may include at least one hardware and/or software module implemented as an application. The theme store client 317 according to an embodiment may include, for example, a theme store application. The theme store client 317 according to an embodiment may provide recommended theme information (for example, a theme package) to the applications 311 through the operating system. The theme store client 317 according to an embodiment may be connected to the recommendation system via a communication circuit through wireless communication or wired communication. The theme store client 317 according to an embodiment may be associated (or connected) with the customized model 205 stored in the electronic device 101 (for example, the memory 130) so that the theme store client 317 can access the customized model 205 or vice versa. The theme store client 317 according to an embodiment may generate a feature vector (for example, the first feature vector 303 of
The recommendation system 309 according to an embodiment may include at least one recommendation server. The recommendation system 309 according to an embodiment may be connected to the electronic device 101 through wireless communication or wired communication. The recommendation system 309 according to an embodiment may store at least some pieces of recommended theme information. The recommendation system 309 according to an embodiment may transmit at least some pieces of recommended theme information stored in the recommendation system 309 to the electronic device 101 (for example, the theme store client 317). The recommendation system 309 according to an embodiment may determine similarity between the first feature vector 303 received from the electronic device 101 and a plurality of second feature vectors (for example, the second feature vector 217 of
The electronic device 101 (for example, the processor 120 of
The electronic device 101 according to an embodiment may generate first information (for example, the first feature vector 303 of
The electronic device 101 according to an embodiment may transmit first information (for example, the first feature vector 303 of
The electronic device 101 according to an embodiment may receive at least one second image related to the first information (for example, the first feature vector 303 of
The electronic device 101 according to an embodiment may display at least one second image on a display (for example, the display device 160 of
The electronic device 101 according to an embodiment may receive a second input for selecting one of the at least one second image in operation 460.
The electronic device 101 according to an embodiment may display the selected second image as the background image on the display (for example, the display device 160) in operation 470. For example, the electronic device 101 may configure a wallpaper image corresponding to the selected second image as a background image. According to an embodiment, when the selected second image corresponds to a theme package, the electronic device 101 may apply the wallpaper image and at least one of the icon image, the lock screen image, or the font image included in the theme package to the electronic device 101.
Referring to
Referring to screen (b) in
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Referring to screen (c) in
The electronic device 101 according to an embodiment may display an execution screen of a first application in operation 610. For example, the first application may include a theme store application (for example, SAMSUNG THEMES application) for searching for a background image or a theme image or package.
The electronic device 101 according to an embodiment may receive a first input for selecting a first graphic object included in the execution screen of the first application in operation 630. For example, the first graphic object may include an icon for executing a second application (for example, a camera application).
The electronic device 101 according to an embodiment may execute the second application in operation 650. The electronic device 101 may execute the second application (for example, the camera application) in response to reception of the first input for selecting the first graphic object.
The electronic device 101 according to an embodiment may acquire the first image 301 through a camera (for example, the camera module 180) in operation 670. For example, the electronic device 101 may acquire the first image 301 through the camera (for example, the camera module 180) using the second application (for example, the camera application).
The electronic device 101 according to an embodiment may display information on a theme package similar to the first image acquired in operation 670 on a display (for example, the display device 160 of
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As described above, it is possible to perform a quick and seamless operation of receiving and displaying the recommended theme information 305 similar to the first image 301 acquired through the second application (for example, the camera application) in the execution screen 711 of the second application without terminating the second application.
Referring to a flowchart 800 of
The electronic device 101 according to an embodiment may receive at least one second image related to a first image (for example, the first image 301 of
The electronic device 101 according to an embodiment may receive a second input for selecting one of at least one second image in operation 850. The same description of operation 850 may be applied to operation 460 of
The electronic device 101 according to an embodiment may display, as a background image, the one selected image on a display (for example, the display 501 of
Referring to
The electronic device 101 according to an embodiment may receive a first input for selecting the first image 301 among the one or more images. For example, the first input may include a touch input (for example, a long touch input) for the first image 301 or a touch input for selecting the eighth object 903a.
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When an input (for example, a touch input) for selecting the sixth item 1107b is received, the electronic device 101 according to an embodiment may display a second execution screen (not shown) of the theme store application (for example, an execution screen of a background screen setting application) and search for a background image or theme image similar to the selected image (for example, the first image 301). The subsequent operation of the electronic device may be the same as the operations of
Referring to a flowchart 1200 of
The electronic device 101 according to an embodiment may generate a feature vector corresponding to the partial area in operation 1230. For example, the electronic device 101 may input the selected partial image of the first image 301 into a customized model (for example, the customized model 205 of
The electronic device 101 according to an embodiment may receive at least one second image related to the feature vector generated by the server (for example, the server 108 of
Referring to
According to an embodiment, a plurality of indicators 1303a, 1303b, 1303c, and 1303d may be displayed in the first area 1301a in which the first image 301 is displayed. The electronic device 101 may receive a drag input for at least one of the plurality of indicators 1303a, 1303b, 1303c, and 1303d.
Referring to
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The electronic device 101 according to an embodiment may acquire a second image in response to a first user input in operation 1420a. For example, the second image may be an image captured by a camera, an image stored in a memory of the electronic device 101, an image searched via an internet application, or an image previously downloaded via a theme store application.
The electronic device 101 according to an embodiment may acquire first information based on the second image and a representing type of at least one of the one or more objects in operation 1430a.
The electronic device 101 according to an embodiment may transmit the generated first information to a server in operation 1440a.
The electronic device 101 according to an embodiment may receive information on at least one third image related to the first information from the server in operation 1450a.
The electronic device 101 according to an embodiment may display at least one third image on the display in operation 1460a.
The electronic device 101 according to an embodiment may receive a second user input for selecting one of the at least one displayed third image in operation 1470a.
The electronic device 101 according to an embodiment may change the first image to the one selected image on the basis of a second user input and display the one selected image on the display in operation 1480a.
Referring to
The electronic device (for example, the server 108) according to an embodiment may generate first information based on the first image and information on the representing type if at least one object in operation 1430b.
The electronic device (for example, 108) according to an embodiment may transmit information on at least one second image among a plurality of images stored in a memory to the external electronic device (for example, the electronic device 101) on the basis of similarity determination using the generated first information in operation 1450b.
An electronic device (for example, the electronic device 101 of
The electronic device (for example, the electronic device 101 of
The first information (for example, the first feature vector 303 of
The first feature vector according to an embodiment may be generated based on a partial area (for example, the first partial area 1307a of
The first feature vector according to an embodiment may be generated by combining first output data corresponding to the second image and second output data corresponding to the representing type of the at least one object.
The at least one third image according to an embodiment may be found based on a determination of similarity between the first feature vector and feature vectors corresponding to a plurality of images stored in the server.
The determination of the similarity according to an embodiment may be based on a Euclidean distance or cosine similarity between the first feature vector and feature vectors corresponding to the plurality of images.
The electronic device (for example, the electronic device 101 of
The one or more objects according to an embodiment may include at least one of one or more icons, a font, or a lock screen displayed on the display.
The at least one processor according to an embodiment may be further configured to, when receiving the information on the at least one third image, also receive information on at least one of at least one icon image or at least one font image related to the first information.
The second image according to an embodiment may be displayed in a first area (for example, the first area 1301a of
A method of controlling an electronic device (for example, the electronic device 101 of
The method of controlling the electronic device (for example, the electronic device 101 of
The first information according to an embodiment may include a first feature vector generated based on the second image and the representing type.
The at least one third image according to an embodiment may be found based on a determination of similarity between the first feature vector and feature vectors corresponding to a plurality of images stored in the server.
The determination of the similarity according to an embodiment may be based on a Euclidean distance or cosine similarity between the first feature vector and feature vectors corresponding to the plurality of images.
The one or more objects according to an embodiment may include at least one of one or more icons, a font, or a lock screen displayed on the display.
The operation of receiving the information on the at least one third image related to the first information from the server may include an operation of receiving information on at least one of at least one icon image or at least one font image related to the first information.
An electronic device (for example, the server 108 of
The first information according to an embodiment may include a first feature vector (for example, the first feature vector 303 of
The electronic device according to various embodiments may be one of various types of electronic devices. The electronic devices may include, for example, a portable communication device (e.g., a smart phone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, or a home appliance. According to an embodiment, the electronic devices are not limited to those described above.
It should be appreciated that various embodiments and the terms used therein are not intended to limit the technological features set forth herein to particular embodiments and include various changes, equivalents, or replacements for a corresponding embodiment. With regard to the description of the drawings, similar reference numerals may be used to refer to similar or related elements. It is to be understood that a singular form of a noun corresponding to an item may include one or more of the things, unless the relevant context clearly indicates otherwise. As used herein, each of such phrases as “A or B,” “at least one of A and B,” “at least one of A or B,” “A, B, or C,” “at least one of A, B, and C,” and “at least one of A, B, or C,” may include all possible combinations of the items enumerated together in a corresponding one of the phrases. As used herein, such terms as “1st” and “2nd,” or “first” and “second” may be used to simply distinguish a corresponding component from another, and does not limit the components in other aspect (e.g., importance or order). It is to be understood that if an element (e.g., a first element) is referred to, with or without the term “operatively” or “communicatively”, as “coupled with,” “coupled to,” “connected with,” or “connected to” another element (e.g., a second element), it means that the element may be coupled with the other element directly (e.g., wiredly), wirelessly, or via a third element.
As used herein, the term “module” may include a unit implemented in hardware, software, or firmware, and may interchangeably be used with other terms, for example, “logic,” “logic block,” “part,” or “circuitry”. A module may be a single integral component, or a minimum unit or part thereof, adapted to perform one or more functions. For example, according to an embodiment, the module may be implemented in a form of an application-specific integrated circuit (ASIC).
Various embodiments as set forth herein may be implemented as software (e.g., the program 140) including one or more instructions that are stored in a storage medium (e.g., internal memory 136 or external memory 138) that is readable by a machine (e.g., the electronic device 101). For example, a processor (e.g., the processor 120) of the machine (e.g., the electronic device 101) may invoke at least one of the one or more instructions stored in the storage medium, and execute it, with or without using one or more other components under the control of the processor. This allows the machine to be operated to perform at least one function according to the at least one instruction invoked. The one or more instructions may include a code generated by a compiler or a code executable by an interpreter. The machine-readable storage medium may be provided in the form of a non-transitory storage medium. Wherein, the term “non-transitory” simply means that the storage medium is a tangible device, and does not include a signal (e.g., an electromagnetic wave), but this term does not differentiate between where data is semi-permanently stored in the storage medium and where the data is temporarily stored in the storage medium.
According to an embodiment, a method according to various embodiments may be included and provided in a computer program product. The computer program product may be traded as a product between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read only memory (CD-ROM)), or be distributed (e.g., downloaded or uploaded) online via an application store (e.g., Play Store™), or between two user devices (e.g., smart phones) directly. If distributed online, at least part of the computer program product may be temporarily generated or at least temporarily stored in the machine-readable storage medium, such as memory of the manufacturer's server, a server of the application store, or a relay server.
According to various embodiments, each component (e.g., a module or a program) of the above-described components may include a single entity or multiple entities. According to various embodiments, one or more of the above-described components may be omitted, or one or more other components may be added. Alternatively or additionally, a plurality of components (e.g., modules or programs) may be integrated into a single component. In such a case, according to various embodiments, the integrated component may still perform one or more functions of each of the plurality of components in the same or similar manner as they are performed by a corresponding one of the plurality of components before the integration. According to various embodiments, operations performed by the module, the program, or another component may be carried out sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations may be executed in a different order or omitted, or one or more other operations may be added.
Certain of the above-described embodiments of the present disclosure can be implemented in hardware, firmware or via the execution of software or computer code that can be stored in a recording medium such as a CD ROM, a Digital Versatile Disc (DVD), a magnetic tape, a RAM, a floppy disk, a hard disk, or a magneto-optical disk or computer code downloaded over a network originally stored on a remote recording medium or a non-transitory machine readable medium and to be stored on a local recording medium, so that the methods described herein can be rendered via such software that is stored on the recording medium using a general purpose computer, or a special processor or in programmable or dedicated hardware, such as an ASIC or FPGA. As would be understood in the art, the computer, the processor, microprocessor controller or the programmable hardware include memory components, e.g., RAM, ROM, Flash, etc. that may store or receive software or computer code that when accessed and executed by the computer, processor or hardware implement the processing methods described herein.
While the present disclosure has been shown and described with reference to various embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the present disclosure as defined by the appended claims and their equivalents.
| Number | Date | Country | Kind |
|---|---|---|---|
| 10-2019-0021349 | Feb 2019 | KR | national |