Automated Content Segment Identification Using Signature Data
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Solution Overview
Problem
Current digital video recorders (DVRs) and personal video recorders (PVRs) require manual user intervention to skip commercials and other unwanted content, leading to inaccurate results and inconvenience, as users often fast-forward past desired segments or resume playback in undesired portions.
Innovation Solution
A system and method that utilize signature data and metadata to identify boundaries of segments in a presentation stream, allowing for automated skipping, replacement, or reordering of content, including the insertion of supplemental material, by processing location information and signature data to filter or modify the stream in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual fast forwarding is used to skip commercials, then the user can control playback, but the user may fast forward past desired segments or resume playback during unwanted portions
Solution Approach 1:
The system automatically identifies and skips commercials without requiring manual user intervention. The receiving device autonomously processes the presentation stream, detects commercial segments using signature data and metadata, and performs fast forwarding automatically, eliminating the need for users to manually control playback while avoiding the inaccuracy of manual operation.
Solution Approach 2:
The system uses signature data and metadata as feedback mechanisms to accurately identify commercial boundaries. By continuously monitoring the presentation stream against stored signature patterns and metadata information, the system can precisely detect when commercials begin and end, enabling accurate automatic skipping without overshooting or resuming in wrong segments.
2Measurement precision
If automated content skipping is implemented using signature data, then accuracy in skipping is improved, but device complexity increases
Solution Approach 1:
Signature data and metadata are prepared and stored in advance before the actual playback occurs. The receiving device pre-processes the presentation stream to extract and store signature patterns for different segments, including commercials and program content. This preliminary action enables accurate identification during playback without requiring complex real-time analysis, thus improving accuracy while managing device complexity.
3Productivity
If real-time processing of presentation stream is performed, then user experience is enhanced, but loss of time for processing increases
Solution Approach 1:
The system processes only the necessary portions of the presentation stream in real-time, specifically focusing on detecting signature patterns that indicate commercial boundaries. Rather than analyzing the entire stream comprehensively, the system performs targeted partial processing using pre-extracted signature data and metadata, enabling real-time commercial skipping with minimal processing time overhead.
Data Source
AI summary
Described herein are methods and apparatus for the identification of locations in a presentation stream based on metadata associated with the presentation stream. Locations within a presentation stream are identified using signature data associated with the presentation stream. The identified locations within a presentation stream may be utilized to identify boundaries of segments within the presentation stream, such as logical chapters, scenes or other sections of the content. The identified segments of the presentation stream may then be selectably viewed by a user.