Paused-Frame Object Detection for Interactive Video Content
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Solution Overview
Problem
Existing video streaming systems fail to leverage paused frames to provide customized and interactive content based on user interest, limiting the user experience.
Innovation Solution
A system that processes information from a paused video frame to identify objects and generate customized content, such as additional information, advertisements, or interactive elements, using machine learning and AI to provide relevant content on the user device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system processes paused video frames to generate customized content, then user experience is enhanced through personalized information delivery, but system complexity increases due to additional processing requirements
Solution Approach 1:
The system segments the video processing task by extracting and analyzing individual frames at pause points, separating the customized content generation from the main video streaming process. This allows the system to process only relevant frames rather than the entire video stream, reducing overall complexity while maintaining personalization capabilities.
Solution Approach 2:
The patent introduces an intermediary processing layer that acts as a mediator between the video stream and the user device. This intermediary system analyzes paused frames, identifies objects of interest, and generates customized content recommendations, thereby isolating the complexity of AI processing from the core video delivery system.
2Productivity
If the system generates customized content based on paused frames, then user engagement increases through interactive elements, but processing time increases due to additional analysis requirements
Solution Approach 1:
The system performs preliminary analysis of video frames during the pause period, utilizing the idle time when the video is not playing. By processing paused frames during natural breaks in viewing, the system generates customized content without adding to the total viewing time, as the processing occurs during periods when the user is already engaged with the content.
Solution Approach 2:
The system applies partial processing by focusing only on key regions of paused frames containing objects of interest, rather than analyzing entire frames in detail. This selective approach reduces processing time while still generating sufficient information for effective content personalization and user engagement.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing information of a paused screen of a video to generate contextual content. The method can include receiving, at one or more computing devices, information indicative of first content associated with a video frame at which a video stream is paused on a user device, identifying, by the one or more computing devices, one or more objects represented in the first content associated with the video frame, obtaining, by the one or more computing devices based on the one or more objects, second content configured to be presented on the user device; and providing the second content for presentation on the user device.