Automated Video Highlight Reel Creation via Topic-Based Sentence Scoring
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Solution Overview
Problem
Long video streams often contain irrelevant, redundant, or idle periods, making it time-consuming for users to extract relevant information, especially in applications like managing team meetings or monitoring customer support sessions.
Innovation Solution
A method and system that automatically identify topics in a video stream, extract relevant sentences, compute scores for these sentences based on their relation to topics, and select and merge video sections to create a short video clip summarizing the highlights, allowing for hyperlinks to access detailed segments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users review the entire long video stream to extract relevant information, then complete information is obtained, but time consumption increases significantly
Solution Approach 1:
The patent extracts only the relevant and important segments from the long video stream to create a condensed highlight reel. By identifying key topics and selecting representative frames from these topics, the system extracts essential information while discarding redundant content, thus reducing review time while maintaining information completeness.
Solution Approach 2:
The patent segments the long video stream into distinct topics and further divides each topic into key sentences and representative frames. This multi-level segmentation allows the system to organize vast amounts of video content into manageable, relevant units that can be quickly reviewed in the highlight reel format.
2Loss of time
If the video stream is condensed into a short highlight reel, then review time is reduced, but risk of losing relevant information increases
Solution Approach 1:
The patent performs preliminary analysis of the entire video stream before creating the highlight reel. By pre-identifying all topics, extracting key sentences, and selecting representative frames in advance, the system ensures that no relevant information is lost during condensation. This preliminary processing allows the short reel to comprehensively represent the full content.
Solution Approach 2:
The patent replaces manual review of entire video streams with an automated AI system that analyzes video content, identifies topics, and generates highlight reels. This substitution of mechanical human review with intelligent automation enables comprehensive information extraction while dramatically reducing time consumption.
3Measurement precision
If manual review of video streams is performed, then detailed analysis is possible, but productivity decreases
Solution Approach 1:
The patent replaces manual video review with an automated AI system that performs topic identification, sentence extraction, and frame selection. This automation maintains detailed analysis capabilities through sophisticated algorithms while dramatically increasing productivity by processing video streams without human time constraints.
Solution Approach 2:
The patent enables the video stream itself to 'analyze' and 'summarize' its own content through automated topic identification and key moment detection. The system processes the video content, extracts relevant information, and generates the highlight reel autonomously, eliminating the need for manual review while maintaining analytical depth.
Data Source
AI summary
Disclosed herein are methods, and program products for creating automatically a short video clip summarizing highlights of a long video stream, comprising identifying a plurality of topics in a video stream based on analysis of the video stream's content, extracting a plurality of sentences based on analysis of a textual representation of the content, computing a score for each of the sentences indicating a relation of the respective sentence to each of the topics, selecting a plurality of sentence subsets each comprising one or more sentences having a highest score with respect to a receptive one of the topics, selecting a plurality of video sections of the video stream each mapped to the one or more sentences of a respective sentence subset, and creating a video clip by merging the plurality of video sections each relating to one of the plurality of topics.