Content Playback Subject Replay via Audio Action Signatures
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Solution Overview
Problem
Conventional media consumption systems lack precision in rewinding content to repeat specific portions, especially for user-generated content without closed captioning data, leading to incomplete or unnecessary re-watching of content.
Innovation Solution
The system analyzes content data in real-time to identify audio and action signatures associated with specific subjects, allowing users to select and replay specific portions of content through a user interface with icons representing these signatures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional rewind mechanisms are used to repeat content portions, then users can replay content, but the playback position control is imprecise causing users to miss content or re-watch unnecessary portions
Solution Approach 1:
The system performs preliminary analysis of content during playback to pre-identify subjects, actions, and audio segments, storing their temporal boundaries in advance. When a user requests to repeat a subject or action, the system can immediately jump to the pre-calculated precise start position without requiring manual rewinding or guessing, thus resolving the contradiction between precision and ease of operation.
2Adaptability or versatility
If closed captioning data is used to identify speech portions for replay, then precise audio repetition is possible, but user-generated content without captioning cannot be processed
Solution Approach 1:
The system performs self-service by automatically analyzing audio and video content to identify subjects, actions, and speech segments without requiring external captioning data. The content itself provides the information needed through its own audio-visual characteristics, enabling the system to process both professionally generated content with captions and user-generated content without captions equally, thus resolving the adaptability versus information loss contradiction.
3Measurement precision
If the system analyzes content to identify subjects and signatures, then precise replay is enabled, but processing complexity increases
Solution Approach 1:
The system segments content analysis into distinct modular components: subject identification module, action recognition module, audio signature extraction module, and temporal boundary detection module. Each module handles a specific aspect of analysis independently, allowing the complex task of precise content identification to be divided into manageable segments that can be processed efficiently and maintained separately, thus resolving the contradiction between precision and system complexity.
Data Source
AI summary
Systems and methods are described herein for displaying subjects of a portion of content. Media data of content is analyzed during playback, and a number of action signatures are identified. Each action signature is associated with a particular subject within the content. The action signature is stored, along with a timestamp corresponding to a playback position at which the action signature begins, in association with an identifier of the particular subject. Upon receiving a command, icons representing each of a number of action signatures at or near the current playback position are displayed. Upon receiving user selection of an icon corresponding to a particular signature, a portion of the content corresponding to the action signature is played back.