Dynamic Video Scene Quality Adjustment for Event Detection
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Solution Overview
Problem
Current video systems that display multiple scenes tiled together often reduce each scene to a lower quality level, making it difficult to detect significant events in crowded video feeds, as users struggle to identify important occurrences due to the reduced size and quality of each scene.
Innovation Solution
A method and system that dynamically change the quality levels of video scenes by processing video data to detect events, increasing the quality of the relevant scenes while maintaining lower quality levels for others, allowing for improved detection and display of significant events within a tiled video feed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple scenes are tiled together to display more scenes simultaneously, then the quantity of displayed scenes increases, but the quality level of each scene decreases
Solution Approach 1:
The patent applies local quality by differentiating the quality level of individual scenes within the tiled video feed. When an event is detected in a specific scene, that scene is rendered at high quality while other scenes maintain lower quality levels. This allows the system to maintain high overall scene count while providing high quality to specific scenes that need it, directly resolving the contradiction between quantity and quality.
Solution Approach 2:
The patent implements dynamics by making the quality level of each scene variable rather than fixed. The system dynamically adjusts the quality level of individual scenes based on event detection results. Scenes with detected events receive high quality treatment while others remain at lower quality, enabling the system to adapt quality distribution in real-time to balance quantity and quality requirements.
2Area of stationary object
If scenes are displayed at lower quality level to fit more scenes, then the area equivalent to individual scenes is maintained, but the detection of significant events becomes difficult
Solution Approach 1:
The system maintains the overall display area equivalent to individual scenes while providing high quality to specific scenes where events are detected. This local quality enhancement ensures that the display area remains appropriate for the number of scenes shown, while simultaneously enabling reliable event detection in scenes that require it.
Solution Approach 2:
The system performs preliminary event detection at lower quality levels across all scenes, then selectively enhances quality in scenes where events are detected. This preliminary action allows the system to maintain efficient resource usage while still enabling accurate event detection, as the detection process itself occurs at the lower quality level before any enhancement is applied.
3Manufacturing precision
If all scenes are processed at high quality level, then the quality of each scene is maintained, but the processing resources and time required increase significantly
Solution Approach 1:
The patent applies local quality by processing only the necessary scenes at high quality levels. Instead of processing all scenes uniformly at high quality, the system identifies specific scenes containing events and applies high quality processing only to those scenes. This significantly reduces overall processing resources and time while maintaining high quality where needed.
Solution Approach 2:
The system applies partial action by processing only a subset of scenes at high quality rather than all scenes. The high quality processing is applied partially to scenes with detected events, while other scenes are processed at lower quality levels. This partial approach maintains sufficient quality for event detection while dramatically improving processing efficiency.
4Difficulty of detecting and measuring
If the quality level of a specific scene is increased to detect events, then the detection capability is improved, but the overall video feed complexity increases
Solution Approach 1:
The system manages video feed complexity by applying high quality processing only to specific local scenes where events are detected, rather than uniformly across the entire feed. This localized approach improves detection capability in relevant scenes while preventing the overall video feed from becoming uniformly complex, thus managing complexity effectively.
Solution Approach 2:
The patent applies segmentation by dividing the video feed into individual scenes that can be processed independently at different quality levels. This segmentation allows the system to improve detection capability in specific scenes without increasing the complexity of the entire video feed, as each scene can be processed according to its specific needs.
Data Source
AI summary
A method for operating a video system is provided. The method includes receiving video data of a first scene and a second scene, processing at least a first portion of the video data to generate a first video of the first scene having a first quality level, processing at least a second portion of the video data to generate a second video of the second scene having a second quality level, and processing at least a third portion of the video data to detect an occurrence of an event in the first scene. In response to detecting the occurrence of the event in the first scene, the method continues by processing at least a fourth portion of the video data to generate a third video of the first scene at a third quality level, where the third quality level is different than the first quality level, and transferring the third video for display.