CIIP Prediction With DIMD and TIMD for Video Coding Efficiency
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Solution Overview
Problem
The increasing demand for high-resolution, high-quality video and immersive media formats like VR and AR necessitates more efficient image compression techniques to reduce transmission and storage costs while maintaining or improving prediction accuracy.
Innovation Solution
The implementation of Combined Inter-picter Merge and Intra-picture Prediction (CIIP) in video coding systems, utilizing Decoder Side Intra Mode Derivation (DIMD) and Template-based Inter Mode Derivation (TIMD) modes to derive prediction samples, reducing overhead and enhancing coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution, high-quality video is transmitted or stored, then image quality is improved, but transmission and storage costs increase
Solution Approach 1:
The patent applies parameter changes by utilizing different prediction modes (DIMD and TIMD) with varying computational complexities and accuracy levels. The system can switch between these modes based on content characteristics and available resources, optimizing the balance between prediction accuracy and processing cost for high-resolution video compression.
Solution Approach 2:
The patent implements dynamic adaptation by allowing the encoder to select between DIMD and TIMD modes based on real-time analysis of video content characteristics. This dynamic switching enables the system to adjust prediction methodology according to scene complexity, motion patterns, and computational constraints, thereby optimizing compression efficiency for high-quality video transmission and storage.
2Measurement precision
If prediction accuracy is improved, then coding efficiency is enhanced, but computational complexity increases
Solution Approach 1:
The patent implements dynamic adaptation by allowing the encoder to select between DIMD and TIMD modes based on real-time analysis of video content characteristics. This dynamic switching enables the system to adjust prediction methodology according to scene complexity, motion patterns, and computational constraints, thereby optimizing compression efficiency for high-quality video transmission and storage.
Solution Approach 2:
The patent applies parameter changes by utilizing different prediction modes (DIMD and TIMD) with varying computational complexities and accuracy levels. The system can switch between these modes based on content characteristics and available resources, optimizing the balance between prediction accuracy and processing cost for high-resolution video compression.
3Productivity
If signaling overhead is reduced, then coding efficiency is improved, but prediction mode flexibility may be limited
Solution Approach 1:
The patent merges the advantages of both DIMD and TIMD modes into a unified CIIP framework. By combining inter-picture merge with intra-picture prediction and integrating both derivation methods, the system achieves reduced signaling overhead while maintaining flexibility through the ability to select appropriate modes based on content characteristics.
Solution Approach 2:
The patent creates a universal prediction framework that can handle multiple prediction scenarios through a single unified approach. The CIIP mechanism with support for both DIMD and TIMD modes provides multi-functionality, allowing the system to adapt to various video content types and compression requirements without requiring separate specialized mechanisms for each case.
Data Source
AI summary
An image decoding method performed by a decoding device includes: obtaining image information including prediction-related information from a bitstream; determining whether combined inter-picture merge and intra-picture prediction (CIIP) is applied to a current block, on the basis of the prediction-related information; deriving a prediction sample of the current block on the basis of it being determined that the CIIP is applied to the current block; and generating a reconstructed sample of the current block on the basis of the prediction sample, wherein the prediction sample of the current block is derived on the basis of an intra prediction sample and an inter prediction sample, wherein the intra prediction sample is derived on the basis of an intra prediction mode, wherein the intra prediction mode is derived on the basis of a decoder side intra mode derivation (DIMD) mode or a template-based inter mode derivation (TIMD) mode.


