Dynamic Video Merchandising Scene Selection
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Solution Overview
Problem
Existing video asset distribution systems fail to effectively maintain user interest by presenting contextually inconsistent merchandising information, such as text-based information and still-images, which can lead to a loss of momentum and decreased user engagement.
Innovation Solution
A video asset engine dynamically selects and displays personalized scenes from video assets based on user preferences and metadata, leveraging a matching algorithm to present contextually relevant content and seamlessly transition between video assets to maintain user interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If text-based information and still-images are presented to users for video merchandising, then information can be conveyed to users, but user interest is quickly lost and momentum decreases
Solution Approach 1:
The patent applies the principle of using video content (dynamic visual changes) instead of static images to present merchandising information. By displaying actual video clips with moving images and changing visual content, the system maintains user interest while conveying information about video assets, resolving the contradiction between information delivery and user engagement.
2Loss of information
If contextually inconsistent merchandising information is imposed on users, then information can be presented, but users choose not to select and watch video assets
Solution Approach 1:
The patent implements personalized merchandising by analyzing individual user preferences and presenting video clips and information tailored to each user's interests. Instead of using generic contextually inconsistent content, the system adapts the merchandising information to match user preferences, thereby maintaining both information presentation and reliable user selection behavior.
3Ease of manufacture
If video assets are merchandised using conventional techniques, then implementation is simple, but user interest is not effectively maintained
Solution Approach 1:
The patent transitions from static merchandising methods to dynamic video clip playback tailored to user preferences. The system dynamically selects and plays relevant video segments based on real-time user preference analysis, effectively maintaining user interest while implementing a sophisticated but automated approach that balances ease of deployment with enhanced engagement.
Data Source
AI summary
One embodiment of the present invention sets forth a technique for displaying scenes included in media assets. The technique includes selecting a first scene included in a first video asset based on one or more preferences and metadata associated with multiple scenes. The first video asset is one of multiple video assets, and each scene included in the multiple scenes is included in one of the video assets included in the multiple video assets. The technique further includes displaying the first scene within a first portion of a display area.