Personalized Video Frame Editing for Tailored Streaming Ads
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Solution Overview
Problem
Existing video streaming services lack personalized video advertising tailored to individual viewers, failing to meet market demands for premium advertising revenue.
Innovation Solution
A system and method for generating personalized video streams by capturing frames, applying personalization elements, and embedding them into video streams using content editors and personalization modules, which include tools for frame selection, image layering, time stamping, and motion adjustment to integrate personalized data seamlessly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video advertising is added to generate additional revenue streams, then advertising revenue is improved, but the advertisements are not tailored to customers and fail to meet market demands for personalized content
Solution Approach 1:
The patent segments the video content into multiple layers including background video layers and foreground personalization elements. This allows different portions of the video to be independently customized for different viewers while maintaining the overall video structure, enabling personalized advertising without requiring complete video regeneration for each customer.
Solution Approach 2:
The system pre-generates multiple video layers and personalization elements in advance, storing them for rapid assembly during video generation. This preliminary preparation enables quick customization of personalized videos for different viewers without time-consuming processing during delivery, resolving the contradiction between revenue-generating speed and personalization quality.
2Adaptability or versatility
If personalized video content is created to meet market demands, then viewer engagement is improved, but the complexity of video generation and processing increases
Solution Approach 1:
By dividing the video into separate layers (background video, personalization elements, advertising content), the system reduces the complexity of generating personalized videos. Each layer can be independently processed and stored, and then quickly assembled using template-based approaches rather than complete video generation for each viewer.
Solution Approach 2:
The patent uses template-based personalization where pre-designed video templates and personalization element templates are stored and copied/combined with specific viewer data. This copying approach significantly reduces generation complexity compared to creating unique personalized videos from scratch for each viewer, while still maintaining high personalization capability.
3Manufacturing precision
If multiple video layers and personalization elements are integrated, then personalized video quality is improved, but the processing time and computational resources required increase
Solution Approach 1:
The system performs preliminary processing of video content into standardized layers and stores personalization elements in advance. This pre-processing creates ready-to-use components that can be quickly assembled during video generation, maintaining high video quality through careful layer design while minimizing processing time during actual personalized video delivery.
Solution Approach 2:
By using pre-defined templates and copying proven high-quality layer structures, the system maintains consistent video quality across personalized videos without re-processing the entire video each time. The template copying approach preserves quality standards while dramatically reducing processing time compared to creating each video from scratch.
Data Source
AI summary
A system is described. The system includes at least one physical memory device to store a content editor and one or more processors coupled with the at least one physical memory device to execute the content editor to receive a selection of a video frame of a background video file displayed within in a graphical user interface (GUI), generate one or more personalization elements indicating personalized data that is to appear in a reference video associated with the background video file, apply the one or more personalization elements to the selected video frame and generate a design file including the one or more personalization elements.