Abstract | ||
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A method is proposed to encode multiple regions of interest(ROI) in JPEG2000 image. It rearranges truncation point for every codeblock in each layer. It assigns higher bitrate to ROI and lower bitrate to non-ROI and combines them to codestream. The proposed strategy produces a fully compliant JPEG2000 codestream. It allows transmission of different ROIs with different priorities and supports dynamic delineation and prioritization of them. Experimental results demonstrating the validity of the proposed approach are presented. |
Year | DOI | Venue |
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2006 | 10.1109/ICME.2006.262403 | 2006 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO - ICME 2006, VOLS 1-5, PROCEEDINGS |
Keywords | Field | DocType |
transform coding,data compression,computational complexity,region of interest,scalability,encoding,decoding,shape | Region of interest coding,Truncation,ENCODE,Computer vision,Pattern recognition,Computer science,Prioritization,Sub-band coding,Artificial intelligence,JPEG 2000,Region of interest,Data compression | Conference |
Volume | Issue | ISSN |
2006 | null | null |
Citations | PageRank | References |
1 | 0.39 | 6 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jun Hou | 1 | 4 | 1.79 |
Xiangzhong Fang | 2 | 147 | 21.63 |
Jiliang Li | 3 | 2 | 0.75 |
Haibin Yin | 4 | 5 | 2.17 |
Yu Song | 5 | 356 | 52.74 |