Video Processor ROI-Based Color Space Conversion
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Solution Overview
Problem
Consumers with 4K or UHD display devices often receive suboptimal video signals due to the technical challenges of converting video content from older standards like Rec. 709 to newer Rec. 2020 standards, affecting picture quality and bandwidth usage.
Innovation Solution
A system with a video processor and processing instructions that transform video content from a first color space and bit-depth to a second, using region of interest features and predictive models, and look-up tables to enhance color spaces and bit-depths, optimizing bandwidth and resource usage, and tailoring output to specific display devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If video content is converted from Rec. 709 to Rec. 2020 color space, then color space capability is improved, but bandwidth usage increases and processing complexity increases
Solution Approach 1:
The patent segments video content into regions of interest (ROI) and non-ROI portions, applying color space conversion only to ROI areas. This selective approach maintains Rec. 2020 color space capability where needed while avoiding unnecessary conversion in less important areas, thereby reducing overall bandwidth consumption and processing load.
Solution Approach 2:
The patent applies different processing qualities to different regions of the video frame. High-quality color space conversion is applied locally to identified regions of interest, while other areas maintain original or reduced processing. This local quality approach optimizes the balance between color space capability and resource consumption.
2Adaptability or versatility
If video content is converted from Rec. 709 to Rec. 2020 color space, then color space capability is improved, but processing complexity increases
Solution Approach 1:
The patent divides the video processing task into segmentation (identifying ROI), selective conversion (applying color space transformation only to ROI), and output composition. This segmentation reduces processing complexity by avoiding full-frame conversion while maintaining Rec. 2020 capability in critical areas.
Solution Approach 2:
The patent performs preliminary actions by pre-identifying regions of interest and pre-determining which areas require color space conversion before the actual transformation. This preliminary segmentation and planning reduces the computational burden during real-time processing.
3Manufacturing precision
If entire video content is transformed to enhanced color space, then picture quality is improved, but bandwidth usage and processing resources increase
Solution Approach 1:
The patent applies enhanced picture quality through color space transformation locally to regions of interest rather than uniformly across the entire frame. This ensures high manufacturing precision (picture quality) in critical areas while minimizing overall bandwidth consumption.
Solution Approach 2:
The patent applies partial action by transforming only the necessary portions (ROI) of video content to enhanced color space rather than the entire frame. This partial transformation achieves sufficient picture quality improvement without the excessive bandwidth usage that would result from full-frame conversion.
Data Source
AI summary
Aspects of the present disclosure provide video content having enhanced color spaces and/or bit-depths, but are not so limited. A system includes a video processor and video processing instructions to transform portions of a video content item from a first color space and/or bit-depth to a second color space and/or bit-depth. A method transforms portions of a video content item from a first color space and/or bit-depth to a second color space and/or bit-depth when delivering the video content item to a display device. A computer-readable storage medium or device stores executable instructions that transform portions of a video content item from a first color space and/or bit-depth to a second color space and/or bit-depth after receiving a request to display the video content item on a display device.