Temporal Token Indexing for Selective Multimedia Retrieval
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Solution Overview
Problem
The challenge of efficiently accessing and retrieving user-relevant multimedia content within vast amounts of multimedia files, particularly in user-generated content platforms like YouTube, remains unresolved due to the difficulty in finding specific portions of video content or cognitive information.
Innovation Solution
A method and system that generate a temporal token file by identifying multimedia content within a file, annotating snippets with textual tokens using NLP, extracting timestamps, and linking them to create a temporal token file for selective access, enabling users to quickly find and access desired content based on attributes and timestamps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users search for relevant multimedia content in vast user-generated content platforms, then they can find desired content, but search time and bandwidth usage increase significantly
Solution Approach 1:
The system performs preliminary actions by generating temporal token files that annotate multimedia content with textual tokens and timestamps during indexing. This pre-processing enables users to directly access specific portions of videos without watching entire content, significantly reducing search time while maintaining content retrieval accuracy
Solution Approach 2:
The patent introduces temporal token files as an intermediary between users and multimedia content. These token files contain annotated textual tokens and timestamps that mediate the search process, allowing users to quickly locate and access specific content portions without scanning through entire videos or relying on inefficient traditional search methods
2Loss of energy
If users access selective portions of multimedia content, then bandwidth usage is reduced, but the complexity of content indexing and retrieval increases
Solution Approach 1:
The system segments multimedia content into distinct portions by annotating snippets with timestamps and textual tokens. This segmentation allows users to access only specific segments of videos based on their needs, reducing bandwidth consumption. The temporal token files organize content into manageable segments that can be independently retrieved without downloading entire videos
Solution Approach 2:
Instead of storing and transmitting entire multimedia files for every access request, the system creates lightweight temporal token files that contain metadata (textual tokens and timestamps) as copies or references to the actual content. These token files are much smaller in size and can be quickly generated and transmitted, reducing bandwidth usage while enabling precise content location
3Ease of operation
If traditional search methods are used for multimedia content, then implementation is simple, but the ability to find specific portions of video content or cognitive information is limited
Solution Approach 1:
The patent replaces traditional mechanical search methods (keyword matching, metadata searching) with a semantic-based approach using Natural Language Processing (NLP). The system annotates content with textual tokens that capture cognitive information and meaning, allowing users to search for specific portions of videos based on semantic understanding rather than simple keyword matching. This substitution maintains ease of operation while dramatically improving information accessibility
Data Source
AI summary
A method for generating a temporal token file to enable access to selective multimedia content within a multimedia file is disclosed. In some embodiments, the method includes identifying a plurality of multimedia content present within the multimedia file. The method further includes generating a token file for each of the plurality of multimedia content. To generate the token file, the method includes retrieving a plurality of snippets from each of the plurality of multimedia content; and annotating each of the plurality of snippets with a textual token. The method further includes extracting a timestamp associated with each of the plurality of snippets. The method further includes generating the temporal token file associated with each of the plurality of multimedia content based on the token file and the timestamp extracted for each of the plurality of snippets.