Image Partitioning for ROI Transmission
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Solution Overview
Problem
Current video transmission methods face challenges in efficiently transmitting video data corresponding to regions of interest (ROI) with low overhead, particularly as video resolution and quality increase, leading to higher data rates and increased pressure on distribution networks.
Innovation Solution
A method and device for partitioning an image into independent and dependent coding units, allowing for efficient encoding and decoding of ROIs by separating the image into portions and segments with reduced coding dependencies, enabling spatial random access and parallel processing, and optimizing the size of these units for minimal overhead transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If video resolution and quality are increased to provide higher quality video data, then video quality is improved, but data rates and transmission overhead increase
Solution Approach 1:
The image is partitioned into multiple portions, with each portion further divided into segments (independent and dependent segments). This hierarchical segmentation allows selective transmission of only the necessary segments for a requested ROI, avoiding transmission of entire high-resolution images and thereby reducing data rates while maintaining video quality.
Solution Approach 2:
Different regions of the image are treated differently based on their importance. Regions of interest are identified and allocated independent segments with higher quality encoding, while non-critical regions use dependent segments with lower quality. This allows high video quality for important regions while reducing overall data rates.
2Device complexity
If traditional image partitioning methods are used, then coding is simplified, but transmission overhead increases when transmitting ROIs
Solution Approach 1:
The image is divided into portions and further segmented into independent and dependent segments. Independent segments contain all necessary coding information and can be decoded standalone, while dependent segments reference independent segments. This segmentation enables selective transmission of only independent segments for ROI regions, significantly reducing transmission overhead compared to traditional methods that would transmit entire image blocks.
Solution Approach 2:
The essential coding information is extracted into independent segments that can be transmitted separately. Dependent segments contain only differential information that references the independent segments. For ROI transmission, only the independent segments are sent, extracting and transmitting only the necessary data while leaving out redundant information, thereby reducing overhead.
Data Source
AI summary
A method and device for partitioning an image for transmission of one or more regions of interest of said image, the image being composed of coding units, the method comprising:performing a first partitioning of the image into one or more portions of coding units, wherein each portion is encodable or decodable without any coding dependency on another of the portions, a region of interest comprising at least one portion; andperforming a second partitioning the image onto one or more segments of coding units comprising at least one independent segment which is encodable or decodable without any coding dependency on another of the segments and at least one dependent segment which is dependent on the independent segment for coding or decoding, the second partitioning being based on the portions of the first partitioning;wherein at least part of one of the portions is encoded in an independent segment and at least part of another of the portions is encoded in a dependent segment.