Motion Candidate Reordering for DMVR Video Coding Efficiency
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Solution Overview
Problem
Existing video coding technologies face challenges in improving coding efficiency, particularly in the reordering and management of motion candidate lists, which affects the overall compression and decoding processes.
Innovation Solution
The proposed methods involve reordering motion candidate lists through refined motion information, updating motion candidate lists by removing redundant candidates, and applying adaptive decoder side motion vector refinement to enhance coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If motion candidate lists are reordered using refined motion information, then coding efficiency is improved, but processing complexity increases
Solution Approach 1:
The patent applies preliminary action by performing motion candidate list reordering and refinement operations during the encoding process before actual video coding. The motion candidate lists are reordered using refined motion information generated in advance, allowing the main coding process to benefit from optimized candidate arrangements without increasing real-time processing complexity during video decoding.
Solution Approach 2:
The patent changes parameters related to motion candidate list management by introducing reordering operations based on refined motion information. The motion candidates are rearranged according to their refined motion vectors, transforming the list from a conventional order to an optimized order that improves coding efficiency while maintaining manageable processing complexity through systematic parameter modification.
2Productivity
If motion candidate lists are updated by removing redundant candidates, then coding gain increases, but processing time increases
Solution Approach 1:
The patent applies the extraction principle by identifying and removing redundant motion candidates from the candidate lists. Redundant candidates that do not contribute to improved coding performance are extracted and eliminated, resulting in a streamlined list of meaningful motion candidates that increases coding gain while the removal operation itself is performed efficiently during the encoding process.
Solution Approach 2:
The patent changes the composition parameter of motion candidate lists by dynamically updating them to include only non-redundant candidates. This parameter modification optimizes the list content based on motion information analysis, removing unnecessary entries that would waste processing time during subsequent coding operations while maintaining the essential motion prediction capabilities.
3Productivity
If adaptive decoder side motion vector refinement is applied, then coding efficiency improves, but computational complexity increases
Solution Approach 1:
The patent applies feedback by implementing adaptive decoder side motion vector refinement that uses decoded motion information to adjust and optimize motion vectors during the decoding process. The system feeds back refined motion vectors to improve prediction accuracy, enhancing coding efficiency while the adaptive nature allows the complexity to be managed through intelligent control of the refinement process.
Data Source
AI summary
Embodiments of the disclosure provide a solution for video processing. A method for video processing is proposed. The method includes: applying, during a conversion between a target block of a video and a bitstream of the video, a reordering process using refined motion information to the target block that is coded with an inter mode with a decoder side motion vector refinement (DMVR), to reorder at least one of a first motion candidate list or a second motion candidate list, wherein a first set of motion candidates in the first motion candidate list are refined in one direction and a second set of motion candidates in the second motion candidate list are refined in an-other direction; and performing the conversion based on the at least one of the reordered first motion candidate list or the reordered second motion candidate list.