Video Segment Detection and GOP Boundary Alignment
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Solution Overview
Problem
Automatic segment detection and replacement in video delivery environments often result in imprecise insertion of video clips with respect to group of pictures (GOP) or chunk boundaries, especially when SCTE-35 markers are not available, affecting the precision of advertisement insertion and other content segments like sports highlights or user-requested summaries.
Innovation Solution
A method and system that utilize media analysis detectors and statistical models from historic transport control event data to detect candidate video segment boundaries, combining this information for precise alignment with GOP and chunk boundaries, enabling accurate insertion or replacement of video segments in a transport stream.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If automatic segment detection and replacement procedures are used without SCTE-35 markers, then the system can operate with broader compatibility (including on-demand and over-the-top content), but the precision of video clip insertion deteriorates due to misalignment with GOP or chunk boundaries
Solution Approach 1:
The patent introduces an intermediary alignment process that mediates between the detected segment boundaries and the GOP/chunk boundaries. This intermediary step analyzes temporal relationships and performs boundary adjustment to ensure precise alignment, resolving the contradiction between broad compatibility and insertion precision.
Solution Approach 2:
The system implements feedback mechanisms by analyzing the detected segment boundaries against known GOP and chunk boundary structures, then adjusting the insertion points based on this feedback to achieve precise alignment. This feedback loop ensures accurate insertion even without SCTE-35 markers.
2Manufacturing precision
If SCTE-35 markers are relied upon for segment boundary detection, then the precision of advertisement insertion is improved, but the system loses adaptability to content that does not carry these markers (on-demand, over-the-top, sports highlights, etc.)
Solution Approach 1:
The patent creates a universal segment detection system that can handle both SCTE-35 marked content and unmarked content (on-demand, over-the-top, sports highlights). The system performs multiple functions: detecting SCTE-35 markers when present, and alternatively using temporal analysis and statistical models when markers are absent, thereby achieving both precision and broad adaptability.
Solution Approach 2:
The system dynamically adapts its detection method based on the content being processed. When SCTE-35 markers are detected, the system uses them for precise alignment; when they are absent, the system dynamically switches to alternative detection methods involving temporal analysis and statistical models, maintaining precision across different content types.
3Manufacturing precision
If multiple detection methods (media analysis detectors and statistical models) are combined to identify segment boundaries, then the precision of boundary identification is improved, but the device complexity increases
Solution Approach 1:
The patent merges multiple detection methods (media analysis detectors and statistical models based on historic transport control event data) into a unified detection system. This combination leverages the strengths of each method to achieve high precision in segment boundary identification while managing system complexity through integrated architecture.
Data Source
AI summary
A method of video segment detection within a transport stream of a video asset is provided. Boundaries of candidate video segments of interest (i.e., advertisements, sports highlights, news highlights, content summaries, etc.) within a video asset are detected with a media analysis detector and are separately detected based on statistical models generated from historic transport control event data collected from a population of viewers of the video asset. The above referenced information concerning the candidate video segments of interest is used to identify beginning and end boundaries of selected candidate video segments within the transport stream. A transcoder is provided with parameters corresponding to the selected candidate video segments and performs group of pictures (GOP) and chunk boundary alignment of chunks of the transport stream with the boundaries of the selected candidate video segments. A system and non-transitory computer-readable storage medium are also disclosed.