Video Capture Region Segmentation for Exposure Control
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Solution Overview
Problem
Current video recording technologies struggle to achieve high-quality video due to limitations in exposure times, processing times, and the inability to apply distinct settings to each pixel or cluster of pixels, resulting in a significant difference in quality between still images and video recordings.
Innovation Solution
A method for capturing video with enhanced quality by segmenting a reference image into regions, applying enhancement parameters to specific regions, and tracking these regions across frames to apply consistent enhancements, while also considering motion information to minimize temporal and perceptual losses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If exposure time is increased to improve image quality, then image quality is improved, but video recording cannot maintain real-time streaming
Solution Approach 1:
The patent segments the image into multiple regions (e.g., foreground and background) and applies different exposure times to each region. The foreground region uses a first exposure time optimized for quality, while the background region uses a second exposure time optimized for motion capture, resolving the contradiction between image quality and real-time streaming requirements
Solution Approach 2:
Different regions of the image are given different quality characteristics through region-specific exposure control. The foreground receives enhanced quality treatment with longer exposure, while the background maintains appropriate motion capture settings, allowing each region to optimize its quality parameter independently
2Measurement precision
If processing time is increased to enhance video quality, then video quality is improved, but real-time output capability is reduced
Solution Approach 1:
The system performs preliminary region segmentation and exposure parameter determination before the actual video capture begins. By pre-dividing the image into regions and pre-calculating optimal exposure parameters for each region, the system minimizes processing time during real-time video capture while maintaining high quality output
3Device complexity
If universal settings are applied to the whole image, then device complexity is reduced, but pixel-level quality control is lost
Solution Approach 1:
The patent divides the image into multiple regions (e.g., foreground and background) and applies different exposure parameters to each region. This segmentation allows pixel-level quality control in the foreground while keeping the overall system manageable through automated region detection and parameter optimization
Solution Approach 2:
Different regions of the image are given different quality characteristics through region-specific exposure control. The foreground receives enhanced quality treatment with longer exposure, while the background maintains appropriate motion capture settings, allowing each region to optimize its quality parameter independently
Data Source
AI summary
A method for capturing a video with enhanced quality includes: capturing a reference image via a user equipment (UE), where the reference image is at least one frame of a plurality of frames of the video or an image associated with the video; segmenting the captured reference image into one or more regions; receiving one or more first enhancement parameters for a first region of the one or more regions; initiating a capture of the video based on the one or more first enhancement parameters; identifying a plurality of pixels associated with the first region in each of the plurality of frames of the captured video; and applying the one or more first enhancement parameters to the identified plurality of pixels associated with the first region in each of the plurality of frames.