Video Bit Generation for Space-Time Summaries
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Solution Overview
Problem
Current technologies lack effective tools for managing and searching videos, relying on manual text-based tagging, which is time-consuming and inefficient, especially as the volume of video recordings increases, and fail to capture the essence of events beyond human faces.
Innovation Solution
A computer-assisted method that automatically recognizes key elements in videos, extracts relevant pixels and audio, and generates short video bits with dynamic frames and motion, allowing for simultaneous playback with audio, to create a space-time summary that highlights important moments, objects, and events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual text-based tagging is used for video searching, then users can organize and search videos, but it is time-consuming and inefficient
Solution Approach 1:
The system automatically generates tags and video bits without user intervention. The computer processor autonomously analyzes video content, identifies key elements, and creates searchable metadata, eliminating the need for manual tagging by users.
Solution Approach 2:
Manual tagging operations are replaced by automated computer-based analysis. The system uses image processing and pattern recognition algorithms to automatically identify and tag key elements in videos, substituting human mechanical tagging with automated computational processes.
2Quantity of substance
If key frames are extracted to reduce file size, then storage space is saved, but movement and audio are lost
Solution Approach 1:
The system extracts only the essential components needed for summarization - specific pixels from key frames and associated audio segments - rather than extracting all video data. This selective extraction creates compact video bits that retain meaningful information while reducing overall data volume.
Solution Approach 2:
The video bits maintain dynamic properties by preserving motion information within the extracted pixel subsets and associated audio. The system creates condensed representations that retain the essential dynamic characteristics of the original video segments rather than static images.
3Adaptability or versatility
If user text tagging is used, then videos can be organized by user criteria, but it becomes difficult for different users and over time
Solution Approach 1:
The automated tagging system creates a universal classification framework that works consistently for all users and across different time periods. The computer processor applies the same objective criteria to all videos, generating standardized tags that enable consistent searching and organization regardless of which user is involved or when the video was created.
Solution Approach 2:
Subjective user-based tagging is replaced with objective computer-based automated tagging. The system uses consistent algorithmic criteria to identify and tag key elements, eliminating variability introduced by different users' personal criteria and making video organization and searching easier for all users.
Data Source
AI summary
A computer-assisted method for producing a space time summary for one or more original videos includes automatically recognizing a key element in an original video, extracting pixels related to the key element from a series of video frames of the original video, producing a video bit comprising a series of video frames comprising the pixels and audio information extracted from the original video, wherein at least one video frame of the video bit is formed by a subset of pixels of the corresponding video frame in the original video, automatically displaying a plurality of video bits in a user interface, wherein the plurality of video bits are extracted from one or more original videos, and provide a space time summary for the one or more original videos, and allowing two of the plurality of video bits to be played simultaneously with audio and motion in the user interface.