IEEE TRANSACTIONS ON CIRCUITS AND VIDEO TECHNOLOGY
Relevance Feedback A Power Tool for Interactive
Content Based Image Retrieval
Yong Rui Thomas S Huang Michael Ortega and Sharad Mehrotra
Beckman Institute for Advanced Science and Technology
Dept of Electrical and Computer Engineering and Dept of Computer Science
University of Illinois at Urbana Champaign
Urbana IL USA
E mail fyrui huangg ifp uiuc edu fortega b sharadg cs uiuc edu
Abstract Content Based Image Retrieval CBIR has b e three main di culties with this approach i e the large
come one of the most active research areas in the past few
amountofmanual e ort required in developing the anno
years Many visual feature representations have b een ex
tations the di erences in interpretation of image contents
plored and many systems built While these research e orts
and inconsistency of the keyword assignments among dif
establish the basis of CBIR the usefulness of the prop osed
approaches is limited Sp eci cally these e orts haverela
ferent indexers As the size of image rep ositories
tively ignored two distinct characteristics of CBIR systems
increases the keyword annotation approach b ecomes infea