Video Coding Tile and Slice Signaling Redundancy
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Solution Overview
Problem
Current video/image coding technologies face inefficiencies in compressing and transmitting high-resolution, high-quality images/videos, particularly for immersive media like VR and AR, leading to increased transmission and storage costs.
Innovation Solution
The method involves efficient coding through picture partitioning, signaling tile-related and slice-related information, and using frequency information for tile columns and rows with the same width or height, optimizing the encoding and decoding processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image coding is used for high-resolution images, then transmission and storage costs increase, but image quality and resolution requirements cannot be met
Solution Approach 1:
The picture is divided into multiple tiles and slices for independent processing. Each tile and slice can be encoded separately, allowing parallel processing and more efficient compression. The segmentation enables the coding system to handle high-resolution images by breaking them into manageable units that can be processed and transmitted more efficiently.
2Manufacturing precision
If detailed tile and slice information is signaled for each region, then coding precision improves, but signaling redundancy increases
Solution Approach 1:
The patent applies partial signaling by only explicitly signaling tile and slice information when necessary. When a picture contains only one tile or has rectangular slices, certain signaling parameters can be inferred or omitted, reducing redundancy while maintaining coding precision. This selective signaling approach avoids transmitting unnecessary information.
Solution Approach 2:
The patent dynamically adjusts signaling parameters based on the picture structure. When tiles or slices have standard configurations, simplified signaling is used. When non-standard configurations exist, more detailed parameters are signaled. This adaptive parameter change optimizes the balance between coding precision and signaling efficiency.
Data Source
AI summary
According to a disclosure of the present document, information/parameter related to splitting of a picture can be signaled on the basis of a no-picture partition flag, information related to a tile, and information related to a slice, unnecessary redundant signaling can be removed accordingly, and the number of bits assigned to the signaling can be reduced, thereby deriving an effect of increasing an overall coding efficiency.