Video Motion Vector Refinement With Adaptive CABAC Context Coding
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Solution Overview
Problem
Current video compression technologies face inefficiencies in coding high-resolution and high-quality video content, particularly in inter prediction, intra prediction, and storage costs, which are exacerbated by the increasing demand for high-definition and ultra-high-definition videos.
Innovation Solution
The method involves adaptive initialization of a CABAC context model, refinement of motion vectors, unidirectional/bidirectional intra prediction, selective scan types for transform coefficients, and in-loop filtering between virtual blocks with different motion vectors to enhance coding efficiency and video quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution and high-quality video compression technologies are used, then video quality is improved, but transmission and storage costs increase
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting quantization parameters, prediction modes, and transform block sizes based on local video content characteristics. This allows the encoder to allocate bits more efficiently, maintaining high video quality in important regions while using more aggressive compression in less critical areas, thereby reducing overall transmission and storage costs.
Solution Approach 2:
The patent implements local quality enhancement through selective intra prediction modes, motion compensation techniques, and loop filtering applied to specific blocks or regions. By analyzing local content characteristics such as edges, textures, and motion patterns, the encoder applies appropriate compression strategies to different regions, preserving quality where needed while reducing bitrate elsewhere.
2Quantity of substance
If conventional video compression technologies are used, then storage costs are reduced, but coding efficiency deteriorates
Solution Approach 1:
The patent employs dynamic adaptation in several aspects: dynamic mode selection for intra and inter prediction, adaptive loop filtering parameters, and content-dependent quantization. These dynamic mechanisms allow the encoder to respond to local video characteristics in real-time, improving coding efficiency without requiring proportionally higher storage costs, as the improvements are achieved through smarter compression algorithms rather than increased bitrates.
3Manufacturing precision
If existing storage media and communication networks are used, then infrastructure costs are maintained, but transmission and storage costs increase due to high video quality demands
Solution Approach 1:
The patent achieves better compression ratios through advanced parameter optimization including adaptive quantization, variable block size transforms, and context-based arithmetic coding. These parameter changes enable the system to deliver high-definition and ultra-high-definition video quality at lower bitrates, making transmission over existing broadband networks and storage on conventional media economically viable.
Data Source
AI summary
A video encoding/decoding apparatus according to the present invention acquires motion vector refinement information, performs motion compensation on the basis of a motion vector of a current block, refines the motion vector of the current block using at least one or both of the motion vector refinement information and the output of the motion compensation, and performs motion compensation using the refined motion vector.