Rewind-Triggered Auxiliary Video for Object Interest Detection
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Solution Overview
Problem
Existing media systems fail to automatically identify and provide additional information about objects of interest to users during video playback, requiring manual user intervention to locate such information.
Innovation Solution
A media guidance application that detects rewind operations during video playback, identifies playback positions at breaks in the media asset, stores metadata about objects of interest, and presents auxiliary video describing those objects during subsequent breaks, using user interest data and object recognition techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the system provides detailed metadata about media content, then the quantity and quality of information is improved, but the ability to automatically identify user interest and deliver relevant information deteriorates
Solution Approach 1:
The system uses the player's own rewind operation as the trigger signal to activate object identification and auxiliary video presentation. The player automatically detects when a user rewinds to a break point, identifies objects at that location, and presents relevant auxiliary videos without requiring manual intervention or complex user profiling systems.
2Ease of operation
If the system presents auxiliary video information during breaks, then user engagement is improved, but the complexity of the media guidance system increases
Solution Approach 1:
The system extracts only the essential elements needed for the function: object identification at break points and auxiliary video presentation during breaks. By focusing on these specific moments rather than continuously analyzing the entire media stream, the system achieves high engagement with reduced computational complexity.
Solution Approach 2:
The system pre-identifies objects and prepares auxiliary videos during break points before the user needs them. When a user rewinds to a break point, the object identification and video preparation have already been completed, allowing for immediate presentation without adding real-time processing complexity.
3Measurement precision
If the system detects rewind operations and stores metadata, then the accuracy of object identification is improved, but the processing time and computational resources increase
Solution Approach 1:
The system performs object identification and metadata storage during break points in the media stream, before the user needs this information. By pre-processing at these natural pause points rather than continuously during playback, the system achieves high identification accuracy without significantly increasing overall processing time.
Solution Approach 2:
The system operates periodically at break points rather than continuously. This periodic operation at specific intervals (break points) allows for thorough object identification and metadata processing without the computational burden of continuous analysis throughout the entire media stream.
Data Source
AI summary
Systems and methods are described herein for a media guidance application that detects, and responds to, a user's review of video content on a media device. The media guidance application detects a rewind operation during playback of a video comprising a media asset. In response, the media guidance application determines if the playback position reached during the rewind operation occurs during a first break in the media asset and, if so, identifies objects depicted in the video at the playback position, and presents auxiliary video relating to an object at a second break in the media asset.