PBIR: perception-based image retrieval-a system that can quickly capture subjective image query concepts

Authors:
Edward Chang;Kwang-Ting Cheng;Wei-Cheng Lai;Ching-Tung Wu;Chengwei Chang;Yi-Leh Wu
Affiliations:
University of California, Santa Barbara, CA;University of California, Santa Barbara, CA;University of California, Santa Barbara, CA;University of California, Santa Barbara, CA;Morpho Software Inc., Santa Barbara, CA;Morpho Software Inc., Santa Barbara, CA
Venue:
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Year:
2001

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Abstract

We describe the Perception-Based Image Retrieval (PBIR) system that we have built on our recently developed query-concept learning algorithms, MEGA and SVMActive. We show that MEGA and SVMActive can learn a complex image-query concept in a small number of user iterations (usually three to four) on a large, multi-category, high-dimensional image database.