Supplemental Image Overlay for Video Speech and Motion Concepts
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Solution Overview
Problem
Conventional video processing techniques fail to effectively capture and represent the visual and audio components of speech and motion in videos, limiting the enhancement of educational and assistive software.
Innovation Solution
A method and system that analyze video and audio data to identify concepts, objects, and motion, and output supplemental images that visually convey these elements, enhancing the video experience by overlaying or displaying them on companion devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional video processing techniques are used to generate subtitles, then speech can be represented textually, but visual and audio components of the video are not captured
Solution Approach 1:
The system segments video content into distinct conceptual elements by processing audio data to identify concepts, objects, and motions separately. Each concept is then matched with corresponding supplemental images, allowing comprehensive representation of visual and audio components while maintaining organized processing through division of analytical tasks.
Solution Approach 2:
The system transitions from traditional 2D video representation to a multi-dimensional representation by adding supplemental images that represent concepts, objects, and motions in separate visual layers. This dimensional expansion allows simultaneous presentation of original video content and extracted semantic elements without overwhelming the viewer.
2Loss of information
If supplemental images are added to represent speech and motion concepts, then video content representation is enriched, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary processing by pre-identifying concepts, objects, and motions in the video content before final output generation. Audio data is processed to extract conceptual elements in advance, and corresponding supplemental images are pre-selected and organized, reducing processing time during actual video playback or delivery.
Solution Approach 2:
The system creates simplified visual copies or representations of speech and motion concepts through supplemental images. Instead of processing and analyzing every frame of video data in real-time, the system generates representative image copies that capture essential conceptual information, reducing computational burden while preserving meaningful content.
3Loss of information
If multiple supplemental images are output to represent different concepts, then comprehensiveness of video representation improves, but user attention and information overload increase
Solution Approach 1:
The system applies local quality enhancement by selectively presenting supplemental images based on their relevance to specific video segments. Different regions or time periods of the video receive different levels of supplemental image enrichment, focusing enhanced representation on conceptually important portions while maintaining simplicity in less critical sections.
Solution Approach 2:
The system implements partial action by selectively generating supplemental images for only the most significant concepts, objects, and motions in the video rather than attempting to represent every element. This selective approach provides sufficient conceptual coverage to enhance understanding without creating excessive visual clutter that would overwhelm user attention.
Data Source
AI summary
Systems, methods, and computer program products to perform an operation comprising receiving a video comprising audio data and image data, processing the audio data to identify a first concept in a speech captured in the audio data at a first point in time of the video, identifying a first supplemental image based on the first concept, wherein the first supplemental image visually conveys the concept, and responsive to receiving an indication to play the video, outputting the first supplemental image proximate to the first point in time of the video.