Augmenting User Comments With Media Content Metadata
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Solution Overview
Problem
Existing media interaction systems fail to effectively associate user-input information with specific portions of media content, leading to confusion and a lack of relevance, as well as difficulties in obtaining additional information about objects or people within the content.
Innovation Solution
A method and system that involve a secondary device communicating with a primary media device to analyze user-input information, identify metadata, and derive associations between user-content metadata and primary-content metadata, thereby augmenting user comments to relate them to specific objects or scenes within the media content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If user comments are associated with media content without specific portion identification, then users can provide general commentary, but the comments lack relevance to specific portions and cause confusion
Solution Approach 1:
The patent segments media content into distinct portions (scenes, segments, or time-coded sections) and associates user comments with specific segments rather than the entire media content. This is achieved by dividing the media content structure into identifiable units and linking comments to particular segments, thereby maintaining contextual relevance while preserving ease of commentary submission.
Solution Approach 2:
The patent adds a temporal or spatial dimension to comment association by incorporating time codes, scene identifiers, or segment markers. This transforms comments from general, context-less observations into precisely located annotations tied to specific moments or portions of media content, resolving the ambiguity without complicating the user input process.
2Loss of information
If user-input information is analyzed to identify associations with primary-content metadata, then comments become more context-specific and useful, but the system complexity increases
Solution Approach 1:
The patent introduces an intermediary component (such as a server, processing module, or metadata layer) that handles the complex analysis between user comments and primary content metadata. This intermediary performs the matching, association, and contextualization tasks, shielding the user interface from complexity while enabling sophisticated comment analysis and linkage to media content portions.
Solution Approach 2:
The patent creates metadata copies or representations of primary content attributes that can be efficiently matched against user comments. Instead of performing complex real-time analysis of the entire media content, the system uses pre-extracted metadata copies (such as scene descriptions, object lists, or time-coded markers) to rapidly associate comments with relevant content portions.
3Loss of information
If user comments are enhanced with primary-content metadata, then the information becomes more useful for users and others viewing the media, but the processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary extraction and organization of primary content metadata (such as scene information, object detection results, or time-coded segments) before user comments are submitted. This pre-processing creates a ready-to-match metadata structure that can be rapidly associated with comments, reducing the computational burden and processing time at the moment of comment submission while still enabling enriched, context-specific commentary.
Data Source
AI summary
Disclosed is a method of augmenting user-input information that includes associating a first secondary device with primary media content, receiving user-input information input at the first secondary device, and analyzing the user-input information to identify user-content metadata. The method further includes at least one of: receiving primary-content metadata related to the primary media content and deriving primary-content metadata from the primary media content and identifying associations between the user-content metadata and the primary-content metadata.