TY - GEN
T1 - Region-based image querying
AU - Carson, Chad
AU - Belongie, Serge
AU - Greenspan, Hayit
AU - Malik, Jitendra
N1 - Publisher Copyright:
© 1997 IEEE.
PY - 1997
Y1 - 1997
N2 - Retrieving images from large and varied collections using image content as a key is a challenging and important problem. In this paper, we present a new image representation which provides a transformation from the raw pixel data to a small set of localized coherent regions in color and texture space. This so-called "blobworld" representation is based on segmentation using the expectation-maximization algorithm on combined color and texture features. The texture features we use for the segmentation arise from a new approach to texture description and scale selection. We describe a system that uses the blobworld representation to retrieve images. 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 and the query results. 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.
AB - Retrieving images from large and varied collections using image content as a key is a challenging and important problem. In this paper, we present a new image representation which provides a transformation from the raw pixel data to a small set of localized coherent regions in color and texture space. This so-called "blobworld" representation is based on segmentation using the expectation-maximization algorithm on combined color and texture features. The texture features we use for the segmentation arise from a new approach to texture description and scale selection. We describe a system that uses the blobworld representation to retrieve images. 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 and the query results. 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.
UR - http://www.scopus.com/inward/record.url?scp=84959050338&partnerID=8YFLogxK
U2 - 10.1109/IVL.1997.629719
DO - 10.1109/IVL.1997.629719
M3 - Conference contribution
AN - SCOPUS:84959050338
T3 - Proceedings - IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 1997
SP - 42
EP - 49
BT - Proceedings - IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 1997
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1997 IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 1997
Y2 - 20 June 1997 through 20 June 1997
ER -