Blobworld: a System for Region-Based Image Indexing and Retrieval (long version)
Chad Carson and Megan Thomas and Serge Belongie and Joseph M. Hellerstein and Jitendra Malik
EECS Department, University of California, Berkeley
Technical Report No. UCB/CSD-99-1041
, 1999
http://www2.eecs.berkeley.edu/Pubs/TechRpts/1999/CSD-99-1041.pdf
Blobworld is a system for image retrieval based on finding coherent image regions which roughly correspond to objects. Each image is automatically segmented into regions ("blobs") with associated color and texture descriptors. Querying is based on the attributes of one or two regions of interest, rather than a description of the entire image. In order to make large-scale retrieval feasible, we index the blob descriptions using a tree. Because indexing in the high-dimensional feature space is computationally prohibitive, we use a lower-rank approximation to the high-dimensional distance. Experiments show good results for both querying and indexing.
BibTeX citation:
@techreport{Carson:CSD-99-1041, Author= {Carson, Chad and Thomas, Megan and Belongie, Serge and Hellerstein, Joseph M. and Malik, Jitendra}, Title= {Blobworld: a System for Region-Based Image Indexing and Retrieval (long version)}, Year= {1999}, Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/1999/5567.html}, Number= {UCB/CSD-99-1041}, Abstract= {Blobworld is a system for image retrieval based on finding coherent image regions which roughly correspond to objects. Each image is automatically segmented into regions ("blobs") with associated color and texture descriptors. Querying is based on the attributes of one or two regions of interest, rather than a description of the entire image. In order to make large-scale retrieval feasible, we index the blob descriptions using a tree. Because indexing in the high-dimensional feature space is computationally prohibitive, we use a lower-rank approximation to the high-dimensional distance. Experiments show good results for both querying and indexing.}, }
EndNote citation:
%0 Report %A Carson, Chad %A Thomas, Megan %A Belongie, Serge %A Hellerstein, Joseph M. %A Malik, Jitendra %T Blobworld: a System for Region-Based Image Indexing and Retrieval (long version) %I EECS Department, University of California, Berkeley %D 1999 %@ UCB/CSD-99-1041 %U http://www2.eecs.berkeley.edu/Pubs/TechRpts/1999/5567.html %F Carson:CSD-99-1041