Dynamic Video Clip Boundary Detection via Content Metadata
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Solution Overview
Problem
Current content search systems lack the ability to efficiently search both linear and non-linear content in a manner similar to internet searching, failing to generate video clips relevant to user queries and providing limited search functionality.
Innovation Solution
The system receives user queries, searches content metadata for matching terms, sets start and end boundaries based on content transitions like shot or scene changes, and generates video clips using these boundaries, potentially extending the end boundary with subsequent matches, leveraging signals like SCTE-35 for content analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional search systems are used to identify content matches, then search functionality is provided, but the ability to generate video clips of relevant content is lost and search results are limited to point or content item identification
Solution Approach 1:
The patent segments the content into distinct video clips by identifying start and end boundaries around query matches. Instead of returning the entire content item or a single point, the system divides the content into relevant segments (video clips) that contain the query matches and surrounding context, enabling both search functionality and video clip generation simultaneously.
Solution Approach 2:
The patent adds a temporal dimension to search results by introducing start and end boundaries that define video clip durations. This transforms the search output from simple point or content item identification into time-bound video segments, allowing users to both search for content and obtain playable video clips without sacrificing either capability.
2Ease of manufacture
If fixed duration boundaries are used for video clips, then clip generation is simplified, but the ability to extend clips based on subsequent query matches is lost
Solution Approach 1:
The patent implements dynamic boundary adjustment where video clip end boundaries are not fixed but can be extended based on subsequent query matches. The system initially sets boundaries based on the first match, then monitors for additional matches and extends the end boundary accordingly, allowing the clip duration to adapt dynamically to the content while maintaining a straightforward generation process.
Solution Approach 2:
The system uses feedback from subsequent query matches to adjust the video clip end boundary. When additional query matches are found after the initial clip boundaries are set, the system extends the end boundary to include these new matches, creating a feedback loop that refines the clip duration based on actual content relevance rather than relying solely on predetermined fixed durations.
3Measurement precision
If content transitions are used to determine boundaries, then video clip accuracy is improved, but the complexity of detecting and measuring transitions increases
Solution Approach 1:
The patent performs preliminary detection of content transitions (such as scene changes or shot boundaries) before finalizing video clip boundaries. By identifying these transitions in advance and storing them as reference points, the system can quickly determine accurate clip start and end boundaries by selecting the nearest transitions to the query matches, rather than detecting transitions on-demand during clip generation.
Data Source
AI summary
Described herein are systems and methods for generating a video clip. The video clip may be generated based on applying a query to content metadata to identify a match within a content item. A start boundary and an end boundary for the video clip are determined based on the match(es).