Video Stream Processing Apparatus Automatic Image Quality Adjustment
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Solution Overview
Problem
Users face the burden of manually adjusting image quality for different video equipment and types of videos, leading to unsatisfactory viewing experiences as most users tolerate suboptimal image quality rather than adjusting settings.
Innovation Solution
A video stream processing apparatus and method that automatically adjusts image quality by adding pre-determined image-quality control information to video streams, allowing for consistent high-quality video playback across various equipment and content types without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users manually adjust image quality settings for different video equipment and content types, then image quality can be optimized, but user operation complexity increases significantly
Solution Approach 1:
The patent applies preliminary action by pre-defining multiple image quality profiles (e.g., first profile for standard definition, second profile for high definition) that are stored in the video processing apparatus. When video content is played back, the system automatically selects and applies the appropriate profile based on the content type or user selection, eliminating the need for users to manually adjust multiple individual settings. This resolves the contradiction by preparing optimization settings in advance, delivering high image quality without requiring complex user operations.
2Ease of operation
If automatic image quality control is implemented, then ease of operation improves, but device complexity increases due to additional control mechanisms
Solution Approach 1:
The patent implements parameter changes by storing multiple predetermined image quality profiles with different parameter sets (e.g., resolution, bitrate, color settings) and switching between these profiles based on video content characteristics or user selection. The video processing apparatus includes a profile storage unit and a control unit that automatically selects the appropriate profile parameters. This approach improves ease of operation while managing device complexity by using predefined parameter configurations rather than requiring complex real-time analysis and adjustment mechanisms.
3Adaptability or versatility
If multiple image quality profiles are stored for different video types, then adaptability to various content improves, but storage requirements increase
Solution Approach 1:
The patent applies segmentation by dividing image quality settings into distinct, independently stored profiles (e.g., first image quality profile for standard definition content, second image quality profile for high definition content). Each profile contains a specific set of parameters optimized for particular content types. The video processing apparatus stores these segmented profiles in a profile storage unit and selects the appropriate segment based on the video content being played back. This segmentation approach enables high adaptability to different content types while minimizing storage requirements by only storing essential profile parameters rather than complete setting configurations.
Data Source
AI summary
An image-quality control information adding section 13 reads image-quality control information corresponding to a type of an input video stream 101 from an image-quality control information storage section 12, and then adds the read image-quality control information to the video stream 101. A recording section 43 records a video stream 104 with the image-quality control information added thereto. An image-quality control information extracting section 22 extracts a video profile 202 from the video stream 201 read from the recording section 43. Based on the video stream after the video profile 202 is extracted, a decoding section 23 obtains a video signal 205. An image quality adjusting section 24 adjusts the characteristic of the video signal 205 based on the video profile 202, and then outputs the adjustment results as a video signal 206 after image quality adjustment.