Fading Compensation in Video Encoding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional motion-based video compression methods are ineffective for video sequences with effects such as fading, morphing, and blending, resulting in the need for large amounts of bits to encode these frames.
Innovation Solution
The implementation of fading compensation techniques, which involve adjusting reference frames using scaling and shifting parameters to improve motion compensation efficiency, allowing for better compression of frames with fading, blending, or morphing effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional motion-based video compression methods are used for frames with fading effects, then the encoding process is simple, but the bit rate increases significantly and compression efficiency deteriorates
Solution Approach 1:
The patent applies fading compensation to reference frames before motion compensation is performed. By pre-adjusting the reference frame to account for fading effects, the motion estimation and compensation processes become more effective, resulting in better compression efficiency and lower bit rates for frames with fading effects
Solution Approach 2:
The patent modifies the reference frame by applying fading compensation parameters (scaling and shifting) to adjust pixel values. This parameter transformation allows the reference frame to better match the current frame's lighting conditions, improving motion compensation accuracy and reducing the bits needed to encode the frame
2Productivity
If fading compensation is applied to reference frames, then compression efficiency improves, but the encoding complexity increases
Solution Approach 1:
The fading compensation is performed as a preliminary step before the main motion-based compression process. By preparing the reference frame in advance with appropriate fading adjustments, the subsequent compression operations become more efficient without requiring fundamental changes to the encoding architecture
Solution Approach 2:
The patent applies simple parameter transformations (scaling and shifting) to the reference frame pixels. These parameter changes are computationally efficient operations that improve compression performance without introducing significant encoding complexity
Data Source
AI summary
Techniques and tools for performing fading compensation in video processing applications are described. For example, during encoding, a video encoder performs fading compensation using fading parameters comprising a scaling parameter and a shifting parameter on one or more reference images. During decoding, a video decoder performs corresponding fading compensation on the one or more reference images.