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ROI coding with separated code block

Authors: Yun Xie; Guoqiang Han;

ROI coding with separated code block

Abstract

ROI coding can effectively improve the subjective quality of image. There are some known disadvantages in existing ROI coding methods. This paper presents a new ROI coding method based code block selection mechanism. The method is to separate ROI and background data, and to place them to individual code blocks, ROI code block and background code block, which are put to entropy encoder independently. In the bit-stream allocation phase, a weight is assigned to the distort-length slope of ROI code block, which is intended to change the order by which the respective code blocks are assembled to stream. To transfer the information of the separated ROI and background, each original code block is duplicated logically in packet header. By assigning the same value as original code block to the number of bit planes of logical code block which has no data actually, the length of tag tree code is reduced. Because the separated code block can be assembled flexibly, the method enables the dynamic stream allocation according to the content of image.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Top 10%
Average
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