Region-Based Image Querying
Serge Belongie, Chad Carson, Hayit Greenspan and Jitendra Malik
EECS Department
University of California, Berkeley
Technical Report No. UCB/CSD-97-941
April 1997
http://www.eecs.berkeley.edu/Pubs/TechRpts/1997/CSD-97-941.pdf
Retrieving images from large and varied collections using image content as a key is a challenging and important problem. In this paper we present an image representation which provides a transition from the raw pixel data to a small set of localized coherent regions in color and texture space. This so-called "blobworld" image description may be thought of as a summary representation which captures the basic compositional features of the image. An important and unique aspect of the system is that, in the context of similarity-based querying, the user is allowed to view the internal representation of the submitted image. Similar systems do not offer the user this view into the workings of the system; consequently the outcome of many queries on these systems can be quite inexplicable, despite the availability of knobs for adjusting the similarity metric.
BibTeX citation:
@techreport{Belongie:CSD-97-941,
Author = {Belongie, Serge and Carson, Chad and Greenspan, Hayit and Malik, Jitendra},
Title = {Region-Based Image Querying},
Institution = {EECS Department, University of California, Berkeley},
Year = {1997},
Month = {Apr},
URL = {http://www.eecs.berkeley.edu/Pubs/TechRpts/1997/5229.html},
Number = {UCB/CSD-97-941},
Abstract = {Retrieving images from large and varied collections using image content as a key is a challenging and important problem. In this paper we present an image representation which provides a transition from the raw pixel data to a small set of localized coherent regions in color and texture space. This so-called "blobworld" image description may be thought of as a summary representation which captures the basic compositional features of the image. An important and unique aspect of the system is that, in the context of similarity-based querying, the user is allowed to view the internal representation of the submitted image. Similar systems do not offer the user this view into the workings of the system; consequently the outcome of many queries on these systems can be quite inexplicable, despite the availability of knobs for adjusting the similarity metric.}
}
EndNote citation:
%0 Report %A Belongie, Serge %A Carson, Chad %A Greenspan, Hayit %A Malik, Jitendra %T Region-Based Image Querying %I EECS Department, University of California, Berkeley %D 1997 %@ UCB/CSD-97-941 %U http://www.eecs.berkeley.edu/Pubs/TechRpts/1997/5229.html %F Belongie:CSD-97-941