Video Processing System for Real-Time Object Detection and Enhancement
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Solution Overview
Problem
Existing video processing systems, particularly in low-cost home media players and set-top boxes, face challenges in efficiently detecting and tracking objects or regions of interest in live video, making it difficult for users to select and enhance specific visual elements during playback.
Innovation Solution
A video processing system that employs deep learning object detection and tracking technologies, integrated into a system-on-chip (SoC), to identify and display potential objects or regions of interest, allowing users to select and enhance video content using a user interface, such as a remote control or voice commands, with automatic tracking and adjustment in subsequent frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If deep learning object detection and tracking technologies are integrated into low-cost home media players and set-top boxes, then object detection and tracking capabilities are improved, but device complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary object detection and tracking during video playback, pre-identifying objects of interest before user selection. This allows the complex deep learning processing to be done in advance, reducing real-time complexity when users interact with the system.
Solution Approach 2:
The system introduces an intermediary layer that manages object detection results and presents them to users through a simplified interface. This intermediary handles the complexity of deep learning operations internally while providing simple user interactions, effectively mediating between complex processing and simple usage.
2Ease of operation
If multiple video streams with enhanced content are provided simultaneously, then user experience and video quality are improved, but bandwidth consumption and processing power increase
Solution Approach 1:
Instead of enhancing the entire video stream, the system applies enhancement only to specific regions containing objects of interest. This local quality approach provides enhanced video content where needed while maintaining standard quality elsewhere, reducing overall bandwidth consumption and processing requirements.
Data Source
AI summary
Systems, methods and apparatus for processing video can include a processor. The processor can be configured to perform object detection to detect visual indications of potential objects of interest in a video scene, to receive a selection of an object of interest from the potential objects of interest, and to provide enhanced video content within the video scene for the object of interest indicated by the selection.