Adaptive Video Resolution Decoding for Data Volume Reduction
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Solution Overview
Problem
Current video compression techniques, such as H.264/AVC and HEVC, face inefficiencies due to increasing picture size, resolution, and frame rate, leading to higher data volumes and the need for improved encoding and decoding methods.
Innovation Solution
A method and apparatus for adaptively setting video resolution on a per-picture basis, where maximum resolution information is decoded from a bitstream, and the resolution of each picture is set based on this information, allowing for down-sampling by ½ for smooth textures, enhancing encoding and decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If video resolution and picture size are increased to improve image quality, then image quality is improved, but data volume and processing complexity increase
Solution Approach 1:
The patent applies dynamic resolution adaptation by allowing the resolution of a current picture to differ from the maximum resolution. The system dynamically adjusts the resolution based on picture characteristics (smooth textures vs. detailed textures), enabling the video decoder to process pictures at varying resolutions rather than a fixed resolution, thus reducing data volume for pictures that don't require high resolution while maintaining quality where needed
2Productivity
If fixed resolution is used for all pictures in a sequence, then processing is simplified, but encoding efficiency decreases for pictures with smooth textures
Solution Approach 1:
The patent applies local quality adaptation by treating each picture differently based on its specific characteristics. Instead of applying a uniform resolution to all pictures in a sequence, the system identifies pictures with smooth textures and applies reduced resolution specifically to those pictures, while maintaining maximum resolution for pictures with detailed textures. This localized approach improves encoding efficiency without significantly increasing overall processing complexity
3Manufacturing precision
If maximum resolution is used for all pictures, then image quality is maintained, but processing time and computational resources increase
Solution Approach 1:
The patent applies partial action by processing only the necessary portion of each picture at full resolution. For pictures with smooth textures, the system processes only the essential information at reduced resolution, avoiding the excessive computational resources that would be required to process entire pictures at maximum resolution. For pictures with detailed textures, full resolution processing is applied only where necessary, optimizing the balance between quality and processing time
Data Source
AI summary
A video decoding apparatus and a method for adaptively setting a resolution are disclosed. According to one embodiment of the present invention, a method for adaptively setting a resolution on a per-picture basis comprises the steps of: decoding maximum resolution information from a bitstream; decoding, from the bitstream, resolution information about a current picture; and setting the resolution of the current picture on the basis of the maximum resolution information or the resolution information, wherein the resolution information has a size less than or equal to that of the maximum resolution information.