OCR Text Export from Video Programs
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Solution Overview
Problem
Users face inconvenience when trying to capture and save text information, such as web addresses, phone numbers, or quotes, from video programs as they must manually remember or write them down, lacking an efficient method to export this information to alternate destinations.
Innovation Solution
A device and method that uses optical character recognition (OCR) to identify and export text from a video program to an alternate destination, allowing users to select and send recognized text to various devices via a network, with options for automated actions like opening web addresses or dialing numbers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual memory or writing methods are used to capture text from video programs, then no additional devices or complex systems are needed, but user convenience deteriorates and time efficiency decreases
Solution Approach 1:
The patent introduces an intermediary system comprising a capture device, processing system, and transmission device that mediates between the video program source and the user's alternate destination. This intermediary automatically performs text capture, OCR processing, and transmission to mobile devices, email addresses, or other destinations, eliminating the need for manual memory or writing while managing complexity through specialized intermediate components rather than requiring complex user actions.
Solution Approach 2:
The system enables self-service by automatically capturing text from video programs, processing it through OCR, and transmitting it to designated destinations without requiring continuous user intervention. The automated text capture and export system serves itself by identifying text regions, extracting content, and delivering it to alternate destinations, thereby improving ease of operation without proportionally increasing user-facing complexity.
2Productivity
If manual writing or memorization is used to capture text information, then no technology infrastructure is required, but productivity deteriorates due to time-consuming manual processes
Solution Approach 1:
The patent replaces the mechanical manual process of writing or memorizing text with an automated optical and digital processing system. The system uses optical character recognition (OCR) technology to automatically identify and extract text from video frames, substituting the mechanical act of manual transcription with automated image processing and pattern recognition, thereby dramatically improving productivity and eliminating time loss associated with manual text capture.
Solution Approach 2:
The system performs preliminary action by capturing and processing text in real-time during video playback, rather than requiring post-viewing manual transcription. The text is identified, extracted, and prepared for transmission automatically as the video plays, converting the text to a usable format before the user needs it, thus improving productivity by eliminating the time delay between viewing and text availability.
3Ease of operation
If automated text capture and export system is implemented, then user convenience and productivity improve, but device complexity and infrastructure requirements increase
Solution Approach 1:
The patent implements universality by designing a multi-functional system that can capture text from various video sources (broadcast, cable, satellite, internet), process it through OCR, and transmit it to multiple types of alternate destinations (mobile devices, email, other digital platforms). This universal approach consolidates multiple functions into a single integrated system, improving ease of operation while managing infrastructure complexity through standardized interfaces and protocols that work across different platforms and device types.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables seamless capture and transfer of text information from video programs to alternate devices, enhancing user convenience by automating the process and reducing the need for manual input.
Implementation Method 1
identify text from a frame of the video program via optical character recognition
Data Source
AI summary
Devices, computer-readable media, and methods for exporting text captured from a video program presented on a display screen using optical character recognition to an alternate destination are disclosed. For example, a processor may present a video program via a display screen, receive, from a control device associated with the display screen, a request to capture text from the video program, and identify text from a frame of the video program via optical character recognition. When the text from the frame is identified via optical character recognition, the processor may present, via the display screen, the text in a selectable format, receive, from the control device, a selection of at least a portion of the text that is presented in the selectable format, and send the at least the portion of the text to an alternate destination in accordance with the selection of the at least the portion of the text.