Patent Application
20160241533
The present invention relates generally to a method for granular tagging of multimedia content in a connected network, and more particularly, to a system that has an ability to add meaningful contextual and personalized information to the content in a granular fashion.
With the growth of connected infrastructure, social networking has become more ubiquitous in everyday lives. A large part of our lives is being dictated by online or otherwise accessible content, and how this content is influenced by the tools and the network that connect us. Recent examples include the changes in platforms like Facebook where they are using services like Spotify to deliver content to match people's preferences, partnership of Netflix with Facebook to make their content repository more ‘social’, Hulu's existing social media tools, and other similar services.
While the above attempts are steps towards making content more relevant for classification, these still don't address a few fundamental issues: (a) how to pin-point specific areas in a content (video or audio) file that could highlight the usefulness of the content in a particular context, (b) some indication of the “True” reactions of individuals, groups of individuals, or a large demography of people to a particular content, or a specific area of the content, (c) a method, or platform to make such granular tagging, rating, and search of content happen in a generic and scalable way.
In light of above, a method and a system for a scalable platform is provided that enables granular tagging of any multimedia or other web content over connected networks. The method of the invention provides an ability to go in much more granular within a content and enable a way to add meaningful contextual and personalized information to it, that could then be used for searching, classifying, or analyzing the particular content in a variety of ways, and in a variety of applications.
It is a primary object of the invention to provide a system for tagging the content based on the individual and personal cues of the users. One example of these cues is emotional profile or emotional score of the users.
It is a further object of the invention to provide a method for tagging a multimedia content in a granular manner.
It is still a further object of the invention to provide a system that provides a uniform way of continuous and granular tagging of the multimedia content via individual cues, emotional profiles, or emotional scores.
A further and related object of the invention is to provide a method of tagging the content with an instantaneous Emotional Score, an instantaneous Emotional Profile, or an individual cues score based on a specific user's reaction and at a specific time stamp of the content.
In one aspect of the present invention, a system for tagging a content is provided. The system comprising: an authorizing module configured to authorize a request coming from a user through a client device to access one or more content; a capturing means to capture a user specific data in response to said one or more content; an application module for accessing said one or more content, analyzing the captured user specific data and to generate a user emotional profile for a complete duration for which the user has interacted with the content; a processing means to tag the user emotional profile with the content in a time granular manner. The authorizing means further comprising a user opt-in providing one or more options for the user to access the system. The system further comprising a storing means to store said one or more content tagged with the user emotional profile. The storing means store a self reported user feedback, user emotional profile and user snapshot at timed interval along with the said one or more content tagged with the user emotional profile.
The user emotional profile is generated based on the user specific data, content specific data and application details. The user specific data comprises one or more of the data selected from captured snapshots, emotional variation of the user and a self reporting feedback. The application details comprise number of mouse clicks, number of clicked hyperlink or scroll tab. The content specific data comprises information on media event, session data elapsed event, time stamp and metadata.
In an embodiment, the content is a video file, a webpage, a mobile application, a product review or a product demo video. The application module for the video file functions by providing access to the video file; capturing the user specific data in real time; and analyzing the user specific data to generate the user emotional profile. The application module for the webpage perform the function of accessing the webpage, capturing the user specific data in real time and the content specific data; and analyzing the user specific data and the content specific data to generate the user emotional profile. The application module for the mobile application perform the function of accessing the mobile application, capturing the user specific data in real time and the application data; and analyzing the user specific data and the application data to generate the user emotional profile. The application module perform the function of accessing the product review, capturing the user specific data in real time and the content specific data and analyzing the user specific data and the content specific data to generate the user emotional profile.
In another aspect of the present invention, a method for tagging a content is provided. The method comprises: authorizing a request coming from a user through a client device to access one or more content; capturing a user specific data in response to said one or more content; using an application module to access said one or more content, to analyze the captured user specific data and to generate a user emotional profile for a complete duration for which the user has interacted with the content; and tagging the user emotional profile with the content in a time granular manner.
The method further comprising: storing said one or more content tagged with the user emotional profile in a storing means. The storing means store a self reported user feedback, user emotional profile and user snapshot at timed interval along with the said one or more content tagged with the user emotional profile.
The user emotional profile is generated based on the user specific data, content specific data and application details. The user specific data comprises one or more of the data selected from captured snapshots, emotional variation of the user and a self reporting feedback. The application details comprise number of mouse clicks, number of clicked hyperlink or scroll tab. The content specific data comprises information on media event, session data elapsed event, time stamp and metadata.
In an embodiment, the content may be a video file, a webpage, a mobile application, a product review or a product demo video. The application module for the video file function by providing access to the video file; capturing the user specific data in real time; and analyzing the user specific data to generate the user emotional profile. The application module for the webpage perform the function of accessing the webpage, capturing the user specific data in real time and the content specific data; and analyzing the user specific data and the content specific data to generate the user emotional profile. The application module for the mobile application perform the function of accessing the mobile application, capturing the user specific data in real time and the application data; and analyzing the user specific data and the application data to generate the user emotional profile. The application module perform the function of accessing the product review, capturing the user specific data in real time and the content specific data and analyzing the user specific data and the content specific data to generate the user emotional profile.
The invention will hereinafter be described in conjunction with the figures provided herein to further illustrate various non-limiting embodiments of the invention, wherein like designations denote like elements, and in which:
In the following detailed description of embodiments of the invention, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of invention. However, it will be obvious to a person skilled in art that the embodiments of invention may be practiced with or without these specific details. In other instances well known methods, procedures and components have not been described in details so as not to unnecessarily obscure aspects of the embodiments of the invention.
Furthermore, it will be clear that the invention is not limited to these embodiments only. Numerous modifications, changes, variations, substitutions and equivalents will be apparent to those skilled in the art, without parting from the spirit and scope of the invention.
Nowadays with the increase in use of social networking and multimedia content repository, the content is rated based on the individuals liking and disliking of the content. Typically most rating and tagging of content are limited to the option whereby user manually enters the feedback either in form of “like” or “dislike”. The present invention provides a system and method that includes individual's cues, emotional scores or profiles to tag a multimedia content in a granular manner. The system combines individual cues score, emotional profile or emotional score of the user in a social networking set up to make a more powerful impact on the user's consumption habit. The present invention further extends the concept of individual cues score, Emotional Score or Emotional Profile tagging of content to a more granular level within a specific content and provides a method and a system to achieve this process in a uniform way, including ways to use such tagging for various methods of analytics and monetization models. The inclusion of individual cues scores, Emotional Scores or Emotional Profiles adds a very unique behavioral aspect to content that may then be used for searching, analytics and various kinds of monetization models for the particular content. The individual cue scores, Emotional Score or Profile is a combination of the emotion, behavior, response, attention span, gestures, hand and head movement, or other reactions or stimuli of the user collected through the sensors available in the client devices and then processed.
In an embodiment of the present invention, the content A 108 tagged by the individual cues scores, Emotional Scores, or Emotional Profiles of a number of users may be used in multiple ways to increase the relevance of the content on an application specific, user specific, or delivery specific contexts.
In an embodiment of the present invention the client device 102 comprises of a single module or a plurality of modules to capture the input data from the individual, to process the input data for feature extraction and a decision phase for generating the profile of the user. Some examples of these input modules may be webcams, voice recorders, tactile sensors, haptic sensors, and any other kinds of sensory modules.
In another embodiment of the present invention, the client devices 102, 112 and 116 include but is not limited to being a mobile phone, a Smartphone, a laptop, a camera with WiFi connectivity, a desktop, tablets (iPAD or iPAD like devices), connected desktops or other sensory devices with connectivity.
In another embodiment of the present invention, the individual cues score, emotional profile or emotional score corresponds to the emotion, behavior, response, attention span, gestures, hand and head movement, or other reactions or stimuli of the user.
In an embodiment of the present invention, the content 204 to be emotionally tagged is divided into a number of time segments, the segments being equally spaced. When the content 204 is tagged by the emotional score of a large number of users, the average emotional score for a particular time segment of the content 204 may be created. This in turn provides a unique way to classify different part of a TV show with very useful information about the user's reactions or Emotional Score tagged with respect to time segment of the TV show. In another embodiment of the present invention the tags may be individual cues of specific users that may include attention span, gestures, head and hand movements and other sensory inputs given by the users while watching a specific content.
In an embodiment of the present invention, the tagged information may be used in multiple ways to increase the relevance of the content on an application specific, user specific, or delivery specific contexts.
In an embodiment of the present invention, the intensity of the detected emotions vary from the range of 0 to 1 and the different types of emotions used to predict the behavior of the user may be one of 7. The detected emotional state includes Happy, Surprised, Fearful, Normal, Angry, Disgusted, and Sad.
In another embodiment or application, the different emotions may be a smaller subset and may have scores in a different scale. This provides a method of tagging the content with an instantaneous Emotional Score based on a specific user's reaction and at a specific time stamp of the content. Thus, a uniform way of continuous and granular Emotional tagging of any content may be done. In another embodiment of the present invention, the tags may be individual cues scores instead of Emotional Scores. These individual cues scores may include attention span, gestures, head and hand movements and other sensory inputs given by the users while watching a specific content
In another embodiment of the present invention, the granular tagging of a variety of content may be done by a large number of users. The granular emotional tagging may then be used to provide a characteristic feature to large multimedia repositories that may further be used in multiple ways to characterize the content in a very granular manner.
Once, there is a uniform method of granular tagging of a content repository as described above, there are numerous applications of using the content tagged in the above fashion. Some of these applications are described below, and other related applications are readily apparent to the person skilled in the art based on the ideas described herein.
In an exemplary embodiment of the present invention, the granular emotional tagging of the multimedia content is used to identify the segment which is of concern to the users. The graph of emotional score with respect to time 404 on the reaction of content 406 being watched is used to identify the time segment of interest to the users. For instance, the different time segments of the content 306 are analyzed to find out the scene of interest, based on a query that asks to identify the segments of the video that have displayed the Emotion “Anger”>0.4. This brings out the two identified segments as shown in region 412. These kinds of queries may be generalized over a whole set of videos comprising a content repository like Netflix, or YouTube videos.
In another embodiment of the present invention, the system of the present invention is used to identify specific segments of videos that have displayed the highest time averaged specific Emotion (say, “Happy”), or specific segments from a repository that have scored (averaged over all users) a score of “Surprised>0.6”
The method of the present invention may be used to create Movie Trailers for audience based on some initial feedback from a focus group. The system may be used to pick a given set of segments with the same video of content that have scored, say “Happy>0.5”, averaged over all users, or all users in a specific age demography. The selected particular segment may be used for creating a movie trailer.
In an embodiment of the present invention, a method for analyzing a context or an event is provided. This analysis results into a system generated feedback report which include amongst others: user's emotion reactions to the context or event, user emotional profile, emotion vector etc. The user's emotions while interacting with the context or event is captured in form of user's sensory or behavioral inputs. While interacting with the context or event, the users leave their emotional traces in form of facial or verbal or other sensory cues. The client device captures various sensory and behavioral cues of the user in response to the context or event or the interaction.
The captured sensory and behavioral cues are mapped into several “Intermediate states”. In one of the embodiments of the invention these “Intermediate states” may be related to instantaneous behavioral reaction of the user while interacting with the “Event”. The intermediate states mark an emotional footprint of users covering Happy, Sad, Disgusted, Fearful, Angry, Surprised, Neutral and other known human behavioral reactions. The behavioral classification engine assigns a numerical score to each of the intermediate states that designate the intensity of a corresponding emotion. The system also optionally applies a second level of processing that combines the time-aligned sensory data captured, along with the “Intermediate states” detected for any sensors as described in the previous step, in a way to derive a consistent and robust prediction of user's “Final state” in a time continuous manner. This determination of “Final state” from the sensory data captured and the “Intermediate states” is based on a sequence of steps and mapping applied on this initial data (sensory data captured and the “Intermediate states”). This sequence of steps and mapping applied on the initial data (sensory data and the “Intermediate states”) may vary depending on the “Event” or the overall context or the use case or the application. The Final state denotes the overall impact of the digital content or event on the user and is expressed in form of final emotional state of the user. This final state may be different based on different kinds of analysis applied to the captured data depending on the “Event”, the context, or the application.
The final emotional state of the user is derived by processing intermediate states and their numerical scores. One way of arriving at the Final State may be done in the following way. For each time interval (or the captured video frame) each Intermediate State data goes through a statistical operation based on the instantaneous value of that Intermediate State and its average across the whole video capture of the user in reaction to the Event.
The system 500 also comprises an application module and a processing means. The application module 510 accesses the one or more context or event 508 and analyzes the captured user specific data, application details and content specific data to generate a user feedback result 512 for a complete duration for which the user has interacted with the context or event 508. The processing means tags the user feedback result 512 with the context or event 508 in a time granular manner.
In an exemplary embodiment, said one or more context or event 508 may be a video file. The application module 510 accesses the video file, and captures the user specific data in real time while the user is viewing the video file. The captured user specific data is then analyzed to generate the user emotional profile or a feedback report. The user emotional profile is generated based on captured video, audio, and other user specific information from the user. The user is also provided with option to give their feedback. The user profile and the context information is then sent to the storing means or the database or the server. The user emotional profile and the feedback report generated by the system is also stored in the storing means. The storing means or the database or the server also include information on the session information and the user specific information. The session information includes media events, elapsed events, emotion vectors, time stamps. The user specific information includes user data, event data, timestamp data, metadata and user emotional profile data.
In another exemplary embodiment, the one or more context is a webpage. The application module allows the user to access the webpage. Thereafter, it monitors the user reactions and captures the session information. The captured user reactions and the session information is then analyzed along with the session details to generate a feedback report. The user emotional profile is generated based on captured video, audio, and other user specific information from the user. The application module then transfers the session information along with the user emotional profile and self reporting feedback together with the system generated feedback report to the storing means or server or the database. The session information includes information pertaining to an event, mouse clicks, hyperlinks on the webpage and time stamp data. The user specific information for webpage includes user emotional profile, time stamp and metadata.
In another exemplary embodiment of the present invention, the one or more context or the event is a mobile application. The application module configured for the mobile application data performs the function of accessing the mobile application and captures and records the user specific data and application specific data in real time to analyze the user specific data and the application data to generate user feedback result. The user emotional profile is generated based on captured video, audio, and other user specific information from the user. The application module transfers the context/application profile data in the form of mobile application generated data, user emotional profile, self reporting feedback report and the system generated feedback result to the server or the storing means or the database. The context/application profile data includes the user information, event, application information and timestamp data. The user specific information includes user emotional profile, emotional vector, timestamp and metadata.
In another exemplary embodiment of the present invention, the one or more content is a product review or a product demo video. The application module first accesses the product review or the product demo content. The application module monitors or captures the review session, the user reactions captured with video and/or audio, and analyzes the review session data to generate the system feedback report. The user emotional profile is generated based on captured video, audio, and other user specific information from the user. The application module then transfers the product information, user specific information, self reported feedback report and system generated feedback result to the storing means or the database or the server. The product information includes product review profile such as user information, event data, review data and timestamp data. The user specific information includes user emotional profile, emotion, time stamp and metadata.
The foregoing merely illustrates the principles of the present invention. Other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed invention from a study of the drawings, the disclosure, and the appended claims. In the claims, the word “comprising” does not exclude other elements or steps and the indefinite article “a” or “an” does not exclude a plurality. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used advantageously. Any reference signs in the claims should not be construed as limiting the scope of the claims. Various modifications and alterations to the described embodiments will be apparent to those skilled in the art in view of the teachings herein. It will thus be appreciated that those skilled in the art will be able to devise numerous techniques which, although not explicitly described herein, embody the principles of the present invention and are thus within the spirit and scope of the present invention. All references cited herein are incorporated by reference in their entireties.
This application is a continuation-in-part of U.S. patent application Ser. No. 13/291,064 filed Nov. 7, 2011, now pending; the disclosures of which are hereby incorporated by reference in their entirety.
| Number | Date | Country | |
|---|---|---|---|
| Parent | 13291064 | Nov 2011 | US |
| Child | 14942182 | US |
