The present invention relates in general to computing systems, and more particularly, to various embodiments for managing text in rendered images.
Digital images, or components thereof, often include text (e.g., alphanumeric characters) that provide information to the viewer. For example, in a block diagram, at least some of the blocks may include text, such as labels, descriptions, etc., to indicate what the blocks represent. In most conventional computing systems, depending on the application used, when the size of such components is changed, the included text may also change in size, at least relative to the rest of the component, in an undesirable way.
For instance, if a block that includes text in a block diagram is reduced in size, the text may be reduced in size in a manner proportional to that of the block itself. In such instances, depending on the reduction in size of the block, the original size of the text, etc., the text may become unreadable (i.e., at least for some viewers). Similarly, if the size of the text is not reduced, after the block itself is made smaller, the text may no longer appropriately “fit” within the block (e.g., the text may extend beyond the periphery of the block).
Various embodiments for managing text in rendered images by one or more processors are described. In one embodiment, by way of example only, a method for managing text in rendered images, again by one or more processors, is provided. An image rendered by a display device is detected. The rendered image includes an object component and a text component at least partially overlapping the object component. A size of the object component of the image is caused to change. Based on a comparison of the changed size of the object component of the image to a size of the text component of the image, one or more text modification option is caused to be rendered by the display device. An indication of a selection of at least one of the one or more text modification option is received. The text component of the image is caused to change based on the selected one or more text modification option.
In order that the advantages of the invention will be readily understood, a more particular description of the invention briefly described above will be rendered by reference to specific embodiments that are illustrated in the appended drawings. Understanding that these drawings depict only typical embodiments of the invention and are not therefore to be considered to be limiting of its scope, the invention will be described and explained with additional specificity and detail through the use of the accompanying drawings, in which:
As discussed above, digital images, or components or portions thereof, often include text (e.g., alphanumeric characters) that provide information to the viewer. For example, in a block diagram, at least some of the blocks may include text, such as labels, descriptions, etc., to indicate what the blocks represent. In most conventional computing systems, depending on the application used, when the size of such components is changed, the included text may also change in size, at least relative to the component, in an undesirable way.
For instance, if a block that includes text in a block diagram is reduced in size, the text may be reduced in size in a manner proportional to that of the block itself. In such instances, depending on the reduction in size of the block, the original size of the text, etc., the text may become unreadable (e.g., too small) at least for some viewers. Similarly, if the size of the text is not reduced, after the block itself is made smaller, the text may no longer appropriately “fit” within the block. That is, the text may become larger than and/or extend beyond the periphery (or outer edge) of the block. Such a result may be considered to be not aesthetically pleasing.
To address these needs, some embodiments described herein provide methods and systems for managing text in rendered images which, for example, when the size of the image(s) and/or portions thereof is changed, the appearance (e.g., size) of any text associated with (e.g., embedded within) the images or portions thereof is controlled independently to ensure readability and/or aesthetic appeal.
In some embodiments, when an image, or a component or object thereof, that includes text (e.g., the text is at least partially overlapping the image/component/object) is detected as being resized (e.g., automatically and/or in response to user input), the size of the text is changed relative to that of the image. For example, a minimum text (or font) size may be set (e.g., by a user setting, system setting, etc.), and as the image is reduced in size, the text will only be reduced to that size to ensure readability, and/or if the distance between the text and the periphery of the image falls below predetermined distance or the text extends beyond the periphery of the image, the manner in which the text is displayed is changed (e.g., displayed completely outside the image, displayed using a legend, etc.).
In some embodiments, using image analysis, the availability of space around text embedded within an image is identified, and as the image is reduced in size, the system detects when the text may overlap the periphery of the image. Until such occurs, the size (and/or manner in which the text is displayed) may not be changed. If there is no available space around the text, an indication (or alert) may be generated (e.g., displayed) to the user, informing the user of the potential issue with the text. In some embodiments, the generating of the indication includes displaying several options for changing the text to the user. For example, the displayed options may include reducing the size of the text to a predetermined threshold (e.g., assuming that size is appropriate for the reduced size of the image), rearranging the text (e.g., using a “wraparound” text configuration), moving the text from the image and positioning it outside of the image, and displaying the text using a legend.
In some embodiments, the functionality associated with at least some of such options is automatically performed before any options are displayed to the user. For example, as the image is reduced in size, the text may be automatically reduced in size to the set threshold and/or the text may be rearranged. In such embodiments, if the size of the image is reduced to the point that automatically implemented changes to the text do not prevent, for example, the text from extending beyond the periphery of the image, only then are options displayed to the user.
In some embodiments, at least some of the functionality described herein may be set by user or system preferences. For example, a user may be able to set a minimum text size (e.g., based on his/her eyesight, the intended use/audience of the image, etc.) and/or which options are displayed. In some embodiments, over time, the system may be able to learn which options are preferred by the user (and/or multiple users) such that eventually the user's (or users') preferred options are automatically implemented when needed.
As such, in some embodiments, the methods and/or systems described herein may utilize “machine learning,” “cognitive modeling,” “predictive analytics,” and/or “data analytics,” as is commonly understood by one skilled in the art. Generally, these processes may include, for example, receiving and/or retrieving multiple sets of inputs, and the associated outputs, of one or more systems and processing the data (e.g., using a computing system and/or processor) to generate or extract models, rules, etc. that correspond to, govern, and/or estimate the operation of the system(s), or with respect to the embodiments described herein, modifications made to text in images. Utilizing the models, the performance (or operation) of the system (e.g., utilizing/based on new inputs) may be predicted and/or the performance of the system may be optimized by investigating how changes in the input(s) effect the output(s).
In particular, in some embodiments, a method, by one or more processors, for managing text in rendered images is provided. An image rendered by a display device is detected. The rendered image includes an object component and a text component at least partially overlapping the object component. A size of the object component of the image is caused to change. Based on a comparison of the changed size of the object component of the image to a size of the text component of the image, one or more text modification option is caused to be rendered by the display device. An indication of a selection of at least one of the one or more text modification option is received. The text component of the image is caused to change based on the selected one or more text modification option.
The selected one or more modification option may include replacing the text component of the image with a symbol and causing a legend associated with the text component and the symbol to be rendered by the display device. The legend may be rendered beyond a periphery of the object component of the image.
The causing of the size of the object component of the image to change may include reducing the size of the object component of the image. The causing of the one or more text modification option to be rendered by the display device may occur if, with the changed size of the object component of the image, a distance between the text component of the image and a periphery of the object component of the image is less than a predetermined threshold or at least a portion of the text component of the image extends beyond a periphery of the object component of the image.
The one or more text modification option may include a plurality of text modification options. The plurality of text modification options may include at least one of rendering the text component of the image utilizing a legend or moving the text component of the image relative to the object component of the image. The plurality of text modification options may include at least one of reducing the size of the text component of the image or changing a shape of the text component of the image.
It is understood in advance that although this disclosure includes a detailed description on cloud computing, implementation of the teachings recited herein are not limited to a cloud computing environment. Rather, embodiments of the present invention are capable of being implemented in conjunction with any other type of computing environment, such as cellular networks, now known or later developed.
Cloud computing is a model of service delivery for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g. networks, network bandwidth, servers, processing, memory, storage, applications, virtual machines, and services) that can be rapidly provisioned and released with minimal management effort or interaction with a provider of the service. This cloud model may include at least five characteristics, at least three service models, and at least four deployment models.
Characteristics are as follows:
On-demand self-service: a cloud consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with the service's provider.
Broad network access: capabilities are available over a network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs).
Resource pooling: the provider's computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to demand. There is a sense of location independence in that the consumer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter).
Rapid elasticity: capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time.
Measured service: cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported providing transparency for both the provider and consumer of the utilized service.
Service Models are as follows:
Software as a Service (SaaS): the capability provided to the consumer is to use the provider's applications running on a cloud infrastructure. The applications are accessible from various client devices through a thin client interface such as a web browser (e.g., web-based e-mail). The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, storage, or even individual application capabilities, with the possible exception of limited user-specific application configuration settings.
Platform as a Service (PaaS): the capability provided to the consumer is to deploy onto the cloud infrastructure consumer-created or acquired applications created using programming languages and tools supported by the provider. The consumer does not manage or control the underlying cloud infrastructure including networks, servers, operating systems, or storage, but has control over the deployed applications and possibly application hosting environment configurations.
Infrastructure as a Service (IaaS): the capability provided to the consumer is to provision processing, storage, networks, and other fundamental computing resources where the consumer is able to deploy and run arbitrary software, which can include operating systems and applications. The consumer does not manage or control the underlying cloud infrastructure but has control over operating systems, storage, deployed applications, and possibly limited control of select networking components (e.g., host firewalls).
Deployment Models are as follows:
Private cloud: the cloud infrastructure is operated solely for an organization. It may be managed by the organization or a third party and may exist on-premises or off-premises.
Community cloud: the cloud infrastructure is shared by several organizations and supports a specific community that has shared concerns (e.g., mission, security requirements, policy, and compliance considerations). It may be managed by the organizations or a third party and may exist on-premises or off-premises.
Public cloud: the cloud infrastructure is made available to the general public or a large industry group and is owned by an organization selling cloud services.
Hybrid cloud: the cloud infrastructure is a composition of two or more clouds (private, community, or public) that remain unique entities but are bound together by standardized or proprietary technology that enables data and application portability (e.g., cloud bursting for load-balancing between clouds).
A cloud computing environment is service oriented with a focus on statelessness, low coupling, modularity, and semantic interoperability. At the heart of cloud computing is an infrastructure comprising a network of interconnected nodes.
Referring now to
In cloud computing node 10 there is a computer system/server 12, which is operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well-known computing systems, environments, and/or configurations that may be suitable for use with computer system/server 12 include, but are not limited to, personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputer systems, mainframe computer systems, and distributed cloud computing environments that include any of the above systems or devices, and the like.
Computer system/server 12 may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, and so on that perform particular tasks or implement particular abstract data types. Computer system/server 12 may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.
As shown in
Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA) bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnects (PCI) bus.
Computer system/server 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer system/server 12, and it includes both volatile and non-volatile media, removable and non-removable media.
System memory 28 can include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and/or cache memory 32. Computer system/server 12 may further include other removable/non-removable, volatile/non-volatile computer system storage media. By way of example only, storage system 34 can be provided for reading from and writing to a non-removable, non-volatile magnetic media (not shown and typically called a “hard drive”). Although not shown, a magnetic disk drive for reading from and writing to a removable, non-volatile magnetic disk (e.g., a “floppy disk”), and an optical disk drive for reading from or writing to a removable, non-volatile optical disk such as a CD-ROM, DVD-ROM or other optical media can be provided. In such instances, each can be connected to bus 18 by one or more data media interfaces. As will be further depicted and described below, system memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
Program/utility 40, having a set (at least one) of program modules 42, may be stored in system memory 28 by way of example, and not limitation, as well as an operating system, one or more application programs, other program modules, and program data. Each of the operating system, one or more application programs, other program modules, and program data or some combination thereof, may include an implementation of a networking environment. Program modules 42 generally carry out the functions and/or methodologies of embodiments of the invention as described herein.
Computer system/server 12 may also communicate with one or more external devices 14 such as a keyboard, a pointing device, a display 24, etc.; one or more devices that enable a user to interact with computer system/server 12; and/or any devices (e.g., network card, modem, etc.) that enable computer system/server 12 to communicate with one or more other computing devices. Such communication can occur via Input/Output (I/O) interfaces 22. Still yet, computer system/server 12 can communicate with one or more networks such as a local area network (LAN), a general wide area network (WAN), and/or a public network (e.g., the Internet) via network adapter 20. As depicted, network adapter 20 communicates with the other components of computer system/server 12 via bus 18. It should be understood that although not shown, other hardware and/or software components could be used in conjunction with computer system/server 12. Examples include, but are not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data archival storage systems, etc.
In the context of the present invention, and as one of skill in the art will appreciate, various components depicted in
Referring now to
Still referring to
Referring now to
Device layer 55 includes physical and/or virtual devices, embedded with and/or standalone electronics, sensors, actuators, and other objects to perform various tasks in a cloud computing environment 50. Each of the devices in the device layer 55 incorporates networking capability to other functional abstraction layers such that information obtained from the devices may be provided thereto, and/or information from the other abstraction layers may be provided to the devices. In one embodiment, the various devices inclusive of the device layer 55 may incorporate a network of entities collectively known as the “internet of things” (IoT). Such a network of entities allows for intercommunication, collection, and dissemination of data to accomplish a great variety of purposes, as one of ordinary skill in the art will appreciate.
Device layer 55 as shown includes sensor 52, actuator 53, “learning” thermostat 56 with integrated processing, sensor, and networking electronics, camera 57, controllable household outlet/receptacle 58, and controllable electrical switch 59 as shown. Other possible devices may include, but are not limited to, various additional sensor devices, networking devices, electronics devices (such as a remote control device), additional actuator devices, so called “smart” appliances such as a refrigerator or washer/dryer, and a wide variety of other possible interconnected objects.
Hardware and software layer 60 includes hardware and software components. Examples of hardware components include: mainframes 61; RISC (Reduced Instruction Set Computer) architecture based servers 62; servers 63; blade servers 64; storage devices 65; and networks and networking components 66. In some embodiments, software components include network application server software 67 and database software 68.
Virtualization layer 70 provides an abstraction layer from which the following examples of virtual entities may be provided: virtual servers 71; virtual storage 72; virtual networks 73, including virtual private networks; virtual applications and operating systems 74; and virtual clients 75.
In one example, management layer 80 may provide the functions described below. Resource provisioning 81 provides dynamic procurement of computing resources and other resources that are utilized to perform tasks within the cloud computing environment. Metering and Pricing 82 provides cost tracking as resources are utilized within the cloud computing environment, and billing or invoicing for consumption of these resources. In one example, these resources may comprise application software licenses. Security provides identity verification for cloud consumers and tasks, as well as protection for data and other resources. User portal 83 provides access to the cloud computing environment for consumers and system administrators. Service level management 84 provides cloud computing resource allocation and management such that required service levels are met. Service Level Agreement (SLA) planning and fulfillment 85 provides pre-arrangement for, and procurement of, cloud computing resources for which a future requirement is anticipated in accordance with an SLA.
Workloads layer 90 provides examples of functionality for which the cloud computing environment may be utilized. Examples of workloads and functions which may be provided from this layer include: mapping and navigation 91; software development and lifecycle management 92; virtual classroom education delivery 93; data analytics processing 94; transaction processing 95; and, in the context of the illustrated embodiments of the present invention, various workloads and functions 96 for managing text in rendered images as described herein. One of ordinary skill in the art will appreciate that the workloads and functions 96 may also work in conjunction with other portions of the various abstractions layers, such as those in hardware and software 60, virtualization 70, management 80, and other workloads 90 (such as data analytics processing 94, for example) to accomplish the various purposes of the illustrated embodiments of the present invention.
As mentioned above, in some embodiments, when an image (or portion/object/component thereof) having text associated therewith (e.g., at least partially overlapping, embedded within, etc.) is detected as changing in size or being changed in size, the text is managed in a way separately from the image. In some embodiments, OCR is used to detect or identify text within the image(s) (or objects thereof). Using a contextual analysis of the drawing, the system may uniquely identify each object component and correlate the embedded text with the objects. Using image analysis, the system may identify the available space around the embedded text, which may be used to identify how much an object can be reduced in size (e.g., before the text is changed). When the size of the object(s) is reduced (or about to be reduced), the system may consider the object(s) and text separately, and the managing of the sizes thereof is also handled separately.
In some embodiments, if the text would extend beyond a periphery of the respective object with the reduced size, one or more options for modifying the text may be generated and displayed (e.g., next to the object). The options may include, for example, rearranging the text (e.g., using a “wraparound” text configuration), moving the text from the image and positioning it outside of the image, and displaying the text using a legend. If user selects using a legend, the block(s) may be assigned a unique number (or other symbol) and a legend may be created and rendered to show the mapped embedded text.
In the depicted embodiment, the text 404 is positioned at the center of the object 402, and as shown in
Referring now to
It should be noted that in
As shown in
In response to such a situation, in some embodiments, one or more options for changing (or modifying) the text 404 are displayed. In particular, referring now to
It should be understood that in some embodiments option 410 is not provided to the user if the text 404, at the minimum threshold size, would not appropriately fit in the object 402 at the reduced size. It should also be noted that options 406-410 are merely intended as examples of possible text modification options, as in other embodiments, other options may be provided, such as rearranging the text (e.g., using a “wraparound” text configuration such that the “1” of “BLOCK 1” is positioned below “BLOCK”). Additionally, the options may be presented or provided to the user in different forms. For example, rather than displaying the options 406-410 as drawings/figures that represent the associated modification(s) to the image 400, the options may be provided in a text-based form (e.g., in a list where each option is referred to by a label, name, description, etc.). Further, in some embodiments, the user may select more than one option (e.g., moving the text outside of the object and changing the size of the text).
Referring now to
As shown in
Referring now to
As described above, in response to such a situation, one or more options for changing the text 1104 may be displayed. In particular, referring now to
As described above, in some embodiments, the user may select one of the options 1106 and 1108 in any suitable manner (e.g., via a cursor/mouse, keyboard, etc.). However, in some embodiments, the user may not select any of the options and leave the image 1100 as shown in
Turning to
The image rendered by the display device is detected (step 1804). The detecting of the image (or at least the text) may be performed using OCR. In some embodiments, the text component is (at least initially) completely embedded within the object component (e.g., there is a gap between the text component and the periphery or outer edge of the object component).
A size of the object component of the image is caused to change (step 1806). That is, the size of the object component may be changed from a first size to a second size. The causing of the size of the object component of the image to change may include reducing the size of the object component of the image (i.e., to the second size).
Based on a comparison of the changed (or second) size of the object component of the image to a size of the text component of the image, one or more text modification option (e.g., a plurality of text modification options) is caused to be rendered by the display device (step 1808). The causing of the modification option(s) to be rendered by the display device may occur if, with the changed (or second) size of the object component of the image, a distance between the text component of the image and a periphery of the object component of the image is less than a predetermined threshold or at least a portion of the text component of the image extends (or would extend) beyond a periphery of the object component of the image. The text modification option(s) may include at least one of rendering the text component of the image utilizing a legend or moving the text component of the image relative to the object component of the image, reducing the size of the text component of the image, and/or changing a shape of the text component of the image.
An indication of a selection of at least one of the one or more text modification option is received (step 1810). For example, a user may select one of the options in any suitable manner, such as via a cursor/mouse, keyboard, etc.
The text component of the image is caused to change based on the selected one or more text modification option (step 1812). The selected one or more modification option may include replacing the text component of the image with a symbol and causing a legend associated with the text component and the symbol to be rendered by the display device. The legend may be rendered beyond a periphery of the object component of the image.
Method 1800 ends (step 1814) with, for example, the text component having been changed based on the selected text modification option(s). Method 1800 may be reinitiated with the resizing of another image having an object component and a text component, as described above.
The present invention may be a system, a method, and/or a computer program product. The computer program product may include a computer readable storage medium (or media) having computer readable program instructions thereon for causing a processor to carry out aspects of the present invention.
The computer readable storage medium can be a tangible device that can retain and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. A non-exhaustive list of more specific examples of the computer readable storage medium includes the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanically encoded device such as punch-cards or raised structures in a groove having instructions recorded thereon, and any suitable combination of the foregoing. A computer readable storage medium, as used herein, is not to be construed as being transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission media (e.g., light pulses passing through a fiber-optic cable), or electrical signals transmitted through a wire.
Computer readable program instructions described herein can be downloaded to respective computing/processing devices from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and/or a wireless network. The network may comprise copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. A network adapter card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing/processing device.
Computer readable program instructions for carrying out operations of the present invention may be assembler instructions, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state-setting data, or either source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C++ or the like, and conventional procedural programming languages, such as the “C” programming language or similar programming languages. The computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider). In some embodiments, electronic circuitry including, for example, programmable logic circuitry, field-programmable gate arrays (FPGA), or programmable logic arrays (PLA) may execute the computer readable program instructions by utilizing state information of the computer readable program instructions to personalize the electronic circuitry, in order to perform aspects of the present invention.
Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer readable program instructions.
These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowcharts and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, a programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable storage medium having instructions stored therein comprises an article of manufacture including instructions which implement aspects of the function/act specified in the flowcharts and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other device to produce a computer implemented process, such that the instructions which execute on the computer, other programmable apparatus, or other device implement the functions/acts specified in the flowcharts and/or block diagram block or blocks.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowcharts or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by special purpose hardware-based systems that perform the specified functions or acts or carry out combinations of special purpose hardware and computer instructions.