Dynamic Thumbnail Selection Using Viewer Context and Feedback
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Solution Overview
Problem
Existing thumbnail generation methods fail to account for viewer interest, behavior, and context, resulting in static and unengaging representations that do not optimize click-through rates.
Innovation Solution
Systems and methods for dynamically generating and updating thumbnails during a viewing session by incorporating display elements based on contextual parameters such as viewer behavior, environmental factors, and device characteristics, using metadata and real-time analysis to adapt the thumbnail content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single static thumbnail is used to represent media content, then the system complexity is low and implementation is simple, but user engagement and click-through rates are not optimized for different viewer contexts
Solution Approach 1:
The patent implements dynamic thumbnail generation by continuously monitoring contextual parameters (viewer behavior, environment, device) and automatically updating thumbnail display elements in real-time during viewing sessions, transforming the static thumbnail into a dynamic adaptive interface element
Solution Approach 2:
The thumbnail is segmented into multiple independent display elements (foreground components, background components, text components) that can be individually selected and updated based on contextual parameters, allowing flexible recombination without regenerating the entire thumbnail
2Adaptability or versatility
If visual analysis of media content is performed to generate thumbnails based on aesthetic parameters, then thumbnail quality is improved, but the thumbnail remains static and does not adapt to viewer behavior
Solution Approach 1:
Multiple candidate display elements and thumbnail variants are pre-generated and stored in databases before viewing sessions begin, enabling rapid selection and deployment during real-time viewing without requiring complex processing during the viewing session
Solution Approach 2:
The system implements feedback loops by monitoring viewer interactions with thumbnails and using this data to automatically adjust and update display elements in subsequent viewing sessions, continuously improving thumbnail performance based on actual user behavior
3Productivity
If multiple display elements are dynamically inserted into thumbnails during viewing sessions, then user engagement and click-through rates are enhanced, but computational resources and processing time increase
Solution Approach 1:
The system changes parameters such as display element selection, text content, and visual styling based on contextual parameters like time of day, viewer location, device type, and behavioral patterns, allowing optimization of click-through rates through parameter adjustment rather than complete thumbnail regeneration
Solution Approach 2:
The system creates and manages multiple copies of thumbnail display elements and variants in advance, storing them in databases for rapid retrieval and deployment, avoiding the need to generate new thumbnails from scratch during viewing sessions
Data Source
AI summary
System and methods are provided relating to generation of a thumbnail. Display elements for use in a first thumbnail are stored in a database. Metadata relating to the display elements is determined. A contextual parameter relating to a current viewing session is determined. A first display element is selected for use in generating the first thumbnail based on the metadata and the contextual parameter. The first thumbnail comprising the first display element is caused to be displayed at a user device.