Content Trick-Play Modes Based on User Preferences and 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 personalized trick-play modes based on content attributes and user preferences, and fail to provide contextual indications during trick-play operations.

Innovation Solution

A method and system that determine trick-play modes for content segments based on user preferences and attributes, using metadata and segment identifiers to generate personalized trick-play experiences.

Engineering Contradictions & Design Principles

VSEngineering 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 deteriorates

Engineering Contradiction:
Improveease of operationVSAvoidadaptability
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The patent applies local quality by assigning different trick-play modes to different content segments based on their attributes. The system analyzes content attributes (e.g., genre, pace, importance) and selectively applies appropriate trick-play modes (e.g., frame-based, I-frame, thumbnail) to specific segments rather than using a single unified mode for all content. This resolves the contradiction by maintaining operational simplicity while achieving content-specific adaptability.

Inventive Principle:
Principle #3Local quality

2Adaptability or versatility

If trick-play modes are personalized based on content attributes and user preferences, then the adaptability and user experience are improved, but the device complexity and processing requirements increase

Engineering Contradiction:
ImproveadaptabilityVSAvoiddevice complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements preliminary action by pre-analyzing content attributes and pre-determining appropriate trick-play modes for different content segments during content processing or caching. The system stores metadata about content attributes and associated trick-play mode recommendations, so that when a user requests trick-play functionality, the system can quickly retrieve and apply pre-determined modes without performing complex real-time analysis. This reduces device complexity while maintaining high adaptability.

Inventive Principle:
Principle #10Preliminary action

3Loss of information

If contextual indications are provided during trick-play operations, then the information completeness and user understanding are improved, but the data processing requirements and system complexity increase

Engineering Contradiction:
Improveinformation completenessVSAvoiddevice complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent applies feedback by providing contextual indications to users during trick-play operations. The system monitors the trick-play state and provides feedback information such as displaying segment boundaries, content type indicators, or playback position markers that help users understand what they are viewing during fast-forward or rewind operations. This resolves the contradiction by maintaining information completeness while managing system complexity through targeted feedback mechanisms.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20260019682A1Content-based user-preferred trick play
Publication Date: 2026.01.15 ADEIA GUIDES INC
  • US20260019682A1 patent drawing
  • US20260019682A1 patent drawing
  • US20260019682A1 patent drawing

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.