DVR Signature Data Automated Content Filtering
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Solution Overview
Problem
Current digital video recorders (DVRs) and personal video recorders (PVRs) require manual user intervention to skip unwanted content, such as commercials, which is inconvenient and often results in inaccurate fast-forwarding, missing desired segments or resuming playback at undesired parts.
Innovation Solution
A system and method that utilize signature data and metadata to identify boundaries of segments within 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.
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 operation is inconvenient and often inaccurate
Solution Approach 1:
The system performs preliminary analysis of the recorded content to identify and tag commercial segments before playback. Metadata is generated in advance that marks the boundaries of commercials and program content, enabling the DVR to automatically recognize and skip these segments during playback without requiring manual user intervention.
Solution Approach 2:
The DVR system automatically identifies and skips commercial content without requiring continuous user input. The system uses embedded metadata and signature matching to autonomously determine which segments are commercials and which are program content, then automatically fast-forwards through the commercial portions while maintaining accurate positioning at program boundaries.
2Measurement precision
If automated content filtering is implemented, then skipping accuracy improves, but system complexity increases
Solution Approach 1:
The system performs preliminary analysis of the recorded content to identify and tag commercial segments before playback. Metadata is generated in advance that marks the boundaries of commercials and program content, enabling the DVR to automatically recognize and skip these segments during playback without requiring manual user intervention.
Solution Approach 2:
The system uses metadata as an intermediary layer between the recorded content and the playback function. This metadata contains pre-analyzed information about content boundaries, commercial segments, and program portions, allowing the DVR to make accurate skipping decisions without requiring complex real-time analysis during playback.
3Measurement precision
If signature data is used to identify content boundaries, then skipping precision improves, but processing time increases
Solution Approach 1:
The system performs preliminary analysis of the recorded content to identify and tag commercial segments before playback. Metadata is generated in advance that marks the boundaries of commercials and program content, enabling the DVR to automatically recognize and skip these segments during playback without requiring manual user intervention.
Solution Approach 2:
The system analyzes only specific signature portions of the content (such as audio or video signatures at segment boundaries) rather than processing the entire content stream. This partial analysis approach provides sufficient precision for identifying commercial boundaries without requiring excessive processing time.
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 segments of a show and interstitials (e.g., commercials) of the show. The identified portions of a presentation stream may then be utilized for filtering segments of content during presentation.


