Dynamic Animated Backgrounds for Context-Aware Video Personalization
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Solution Overview
Problem
Existing media content delivery systems lack the ability to dynamically generate media content with an animated background that is contextually relevant and personalized to the user, leading to a less engaging and intrusive user experience.
Innovation Solution
A system and method for dynamically generating media content with an animated background based on contextual data, using machine learning techniques to analyze media content and user profiles, and generating an animated background that is tailored to the user's preferences and context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If media content is delivered with a static background, then the delivery system is simple, but the user experience is not engaging and personalized
Solution Approach 1:
The patent applies dynamics by transitioning from static backgrounds to animated, dynamically generated backgrounds that adapt to user context and preferences. The system generates different animated backgrounds based on real-time analysis of user profiles, media content type, and viewing context, making the background dynamic rather than fixed.
Solution Approach 2:
The system implements self-service through automated context analysis and background generation. The platform automatically analyzes user profiles, media content metadata, and viewing context to generate personalized animated backgrounds without requiring manual intervention from users or human editors, enabling the system to serve itself in the customization process.
2Productivity
If customized backgrounds are created manually by human editors, then the quality and relevance of backgrounds is high, but the time and resource consumption is significant
Solution Approach 1:
The patent replaces the mechanical system of manual human editing with an automated computer-based system. Machine learning models and algorithms automatically analyze media content metadata, user profiles, and viewing context to generate animated backgrounds, substituting human creative labor with automated computational processes.
Solution Approach 2:
The system performs preliminary action by pre-generating and storing a library of animated background templates and elements that can be quickly assembled and customized. This pre-prepared content allows the system to rapidly generate personalized backgrounds without requiring time-consuming creation from scratch for each customization request.
3Object-generated harmful factors
If ads are made more intrusive to ensure message delivery, then the advertising effectiveness is improved, but the user experience deteriorates
Solution Approach 1:
The patent applies local quality by tailoring the background characteristics to match the specific media content and user preferences. The animated backgrounds use localized visual elements, color schemes, and animation styles that are relevant to the content being displayed, creating a cohesive viewing experience rather than generic intrusive ads.
Solution Approach 2:
The system converts the potentially harmful effect of intrusive ads into a beneficial experience by using the ad context to generate relevant and engaging animated backgrounds. The background animation incorporates elements from the advertised content or user preferences, transforming what would be intrusive interruption into an engaging visual enhancement that improves overall user experience.
Data Source
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AI summary
Aspects of the disclosed technology provide solutions for dynamically generating media content with an animated background based on contextual data. An example method can include receiving media content including a sequence of video frames. The method can include steps for determining a context associated with the media content and generating an animated background based on the context associated with the media content. In some examples, the animated background may include one or more items. The method can further include placing the media content within the animated background to generate a customized video for playback on a user device. Systems and machine-readable media are also provided.