Video Encoding Using Depth Information for Coding Unit Division
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Solution Overview
Problem
Existing video encoding methods fail to efficiently utilize depth information for encoding two-dimensional videos, leading to increased encoding complexity and reduced performance.
Innovation Solution
A method and apparatus for encoding videos using depth information, which involves selecting a current coding unit, verifying object information from a depth image, and predicting a division structure based on whether the unit is composed of a single object, thereby optimizing division structures for improved coding efficiency and display quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional video encoding methods are used without depth information, then encoding process is simpler, but encoding efficiency and performance deteriorate
Solution Approach 1:
The patent performs preliminary segmentation of the image into multiple layers based on depth information before the encoding process. By pre-identifying foreground and background regions and their depth relationships, the encoding process can directly utilize these pre-defined structures, avoiding complex real-time analysis during encoding while improving overall encoding efficiency and performance
Solution Approach 2:
The patent divides the video image into multiple depth layers (foreground layer, background layer, and intermediate layers) based on depth information. This segmentation allows different encoding strategies to be applied to different layers, optimizing compression for each layer's characteristics while maintaining overall encoding efficiency without excessive complexity
2Productivity
If depth information is used to determine division structures, then coding efficiency improves, but encoding complexity increases
Solution Approach 1:
The patent applies different division structures and encoding parameters to different spatial regions based on depth layer characteristics. Foreground regions with important objects use finer division structures, while background regions use coarser structures. This localized approach improves coding efficiency by matching the division structure to the local content requirements without uniformly increasing complexity across the entire image
Solution Approach 2:
The patent dynamically adjusts the division structure of coding units based on the depth information and object distribution in each region. The encoding process adapts the block size and division pattern according to the complexity of objects in different depth layers, optimizing coding efficiency while managing encoding complexity through adaptive rather than static structures
3Manufacturing precision
If complex division structures are used for all coding units, then image quality improves, but encoding time and complexity increase
Solution Approach 1:
The patent applies complex division structures only to specific regions where they are most beneficial, such as foreground regions containing important objects or regions with high visual importance. Background regions or less critical areas use simpler, faster encoding structures. This partial application of complex division maintains image quality where it matters most while significantly reducing overall encoding time and complexity
Data Source
AI summary
Provided is a method for encoding an image using a depth information that includes selecting a current coding unit (CU); verifying an object information of the current CU from an object information obtained from a depth image; and verifying whether or not the current CU is composed of a single object based on the object information, and predicting a division structure of the current CU according to whether or not the current CU is composed of a single object.