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MST for Lossy Compression of Image Sets
Snowbird, Utah March 28-March 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DCC.2006.48Data Compression Conference (DCC'06)
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Clinton Nielsen, The University of Alberta, Canada
Xiaobo Li, The University of Alberta, Canada
We propose an algorithm (IsMST) to organise and compress groups of similar images using a Minimum Spanning Tree (MST). This data structure supports Content Based Image Retrieval (CBIR) and also facilitates a better compression performance than is attained using JPEG2000 on each image individually.
Citation:
Clinton Nielsen, Xiaobo Li, "MST for Lossy Compression of Image Sets," dcc, pp.463, Data Compression Conference (DCC'06), 2006
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