Content-Based Trick-Play Selection Through Segment Metadata
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Solution Overview
Problem
Conventional trick-play modes in content platforms provide a unified experience for all content types, lacking context and personalization based on content attributes or user preferences, resulting in suboptimal user experience.
Innovation Solution
A method and system that determine trick-play modes based on content item attributes and user preferences, using segment identifiers and metadata to generate personalized trick-play experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a unified trick-play mode is applied to all content types, then the system complexity is reduced and ease of operation is improved, but the adaptability to different content attributes and user preferences deteriorates
Solution Approach 1:
The system dynamically selects trick-play modes based on content attributes and user preferences rather than using a fixed unified mode. The manifest file contains multiple trick-play mode identifiers that are selectively applied depending on the content type, genre, and user profile, making the system adaptive while maintaining operational simplicity through automated selection.
Solution Approach 2:
Different trick-play modes are applied to different segments of content based on local characteristics such as genre, topic, and importance. The system associates specific trick-play mode identifiers with specific content segments in the manifest, allowing each segment to receive optimized playback treatment tailored to its attributes.
2Adaptability or versatility
If trick-play modes are customized based on content attributes and user preferences, then the adaptability and user experience are improved, but the device complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary organization of trick-play mode identifiers with content segments during the content preparation phase. The manifest file is pre-configured with associations between content segments and appropriate trick-play modes, so that during playback the system only needs to retrieve and apply the pre-determined modes without complex real-time analysis.
Solution Approach 2:
A manifest file serves as an intermediary between the content and the playback system. This manifest contains all the trick-play mode identifier associations in advance, acting as a lookup table that simplifies the playback process. The system only needs to read the manifest and apply the indicated modes without performing complex content analysis during playback.
3Adaptability or versatility
If multiple trick-play mode identifiers are associated with content segments, then the adaptability to content attributes is improved, but the loss of information and data management complexity increase
Solution Approach 1:
The manifest file structure serves multiple functions: it organizes content segments, associates trick-play mode identifiers, and provides a lookup mechanism for the playback system. This multi-functional approach consolidates what would otherwise be separate data structures, reducing overall system complexity while maintaining full adaptability.
Data Source
AI summary
The present disclosure relates to a method for enabling user-preferred trick-play modes. More particularly, the present disclosure provides a method for enabling user-preferred trick-play modes based on content classifications of a content item. In embodiments described herein, methods and systems are provided for varying the user experience with respect to trick-play operation. For example, experience may be varied based on the content being consumed or based on a combination of content being consumed and computing device being used.


