3D Video Coding Depth-Based Disparity Vector Calibration

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Solution Overview

Problem

Conventional video encoding algorithms result in information loss during compression, leading to decreased picture quality, and there is a conflict between improving video quality and increasing compression efficiency in 3D video coding.

Innovation Solution

The implementation of depth-based disparity vector calibration techniques in 3D video coding systems, which involves calibrating disparity vectors for different regions within a prediction unit based on corresponding depth map values, allowing for refined prediction and improved coding efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If conventional video encoding algorithms are used for compression, then compression efficiency is improved, but picture quality deteriorates due to information loss

Engineering Contradiction:

Improvecompression efficiencyVSAvoidpicture quality

Core Design Contradiction:

ProductivityVSManufacturing precision

Solution Approach 1:

The prediction unit is divided into multiple sub-regions based on depth map values, allowing different disparity vectors to be applied to different spatial segments. This segmentation enables more precise depth-based prediction while maintaining compression efficiency through region-specific optimization.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Different disparity vectors are assigned to different sub-regions within the prediction unit based on local depth characteristics. This local quality approach ensures that each region uses the most appropriate prediction parameters for its specific depth properties, improving overall picture quality without sacrificing compression efficiency.

Inventive Principle:

Principle #3Local quality

2Manufacturing precision

If depth-based disparity vector calibration is implemented, then coding efficiency and picture quality are improved, but device complexity increases

Engineering Contradiction:

Improvepicture qualityVSAvoidcoding complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

Depth map values are obtained and processed in advance to determine sub-region boundaries and characteristic depth values before disparity vector calibration is performed. This preliminary action allows the coding process to use pre-computed depth information, reducing real-time computational complexity while maintaining improved picture quality.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The depth map serves as an intermediary data structure that bridges the gap between geometry information and disparity vector calibration. By using the depth map as a mediator, the system can perform accurate depth-based prediction without directly complex interactions between multiple viewing angle parameters, simplifying the overall coding process.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS9860514B23D video coding including depth based disparity vector calibration

Publication Date: 2018.01.02 INTEL CORP

AI summary

Systems, apparatus, articles, and methods are described including operations for 3D video coding including depth based disparity vector calibration.