Personalized Video Frame Overlays for Scalable Viewer Advertising
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Solution Overview
Problem
Existing video streaming services lack personalized video content, leading to a market desire for highly personalized videos to demand premium advertising revenue.
Innovation Solution
A system and method for generating personalized video streams by capturing frames from background videos, applying personalization elements, and embedding these elements into the video using video transitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video advertising is added to generate additional revenue streams, then revenue potential is improved, but the advertisements are not tailored to customers which reduces effectiveness
Solution Approach 1:
The video content is segmented into multiple layers including base video content and overlayable personalization elements. The system divides advertisements into customizable components that can be selectively applied to different viewer segments based on their preferences, demographics, and viewing behavior, enabling tailored advertising while maintaining revenue scalability.
Solution Approach 2:
Personalization elements and advertisement variations are prepared in advance and stored in a library ready for deployment. The system pre-processes video content to identify suitable insertion points and pre-generates personalized advertisement versions, enabling rapid delivery of customized content without real-time processing delays.
2Adaptability or versatility
If personalized video content is created to engage individual viewers, then viewer engagement is improved, but system complexity increases
Solution Approach 1:
The video processing system is designed with multi-functional components that can handle multiple tasks. The same infrastructure processes both standard video content and personalized variations, the overlay system works with different video formats and personalization types, reducing overall system complexity despite the versatility of personalized content delivery.
Solution Approach 2:
Instead of creating entirely unique personalized videos for each viewer, the system uses template-based copying where personalization elements are overlaid on standardized video templates. This approach maintains high viewer engagement through personalization while significantly reducing the complexity of video production and processing infrastructure.
3Manufacturing precision
If personalization elements are applied to video frames, then content customization is improved, but processing time increases
Solution Approach 1:
Personalization elements are pre-rendered and pre-processed before being applied to video frames. The system prepares overlay graphics, text elements, and personalized content in advance, storing them in optimized formats that enable rapid insertion during video playback without requiring extensive real-time processing.
Solution Approach 2:
The video processing system operates in periodic batches, processing personalization elements for multiple video frames in organized cycles. This batch processing approach optimizes resource utilization and reduces overall processing time compared to handling each frame individually in real-time.
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.