DocumentCode :
1834080
Title :
Relevance feedback in image retrieval system by region growing in the feature space
Author :
Kwak, Jung Won ; Lee, Jae Jun ; Cho, Nam Ik
Author_Institution :
Sch. of Electr. Eng., Seoul Nat. Univ., South Korea
fYear :
2001
fDate :
2001
Firstpage :
263
Lastpage :
268
Abstract :
We propose a relevance feedback algorithm based on region growing in the feature space, where most conventional algorithms are based on weight updating. By adaptively expanding match regions based on the user´s feedback, the region can have arbitrary shape in the feature space, whereas the weight update methods have typical hyper-ellipsoidal shape. As a result, the proposed algorithm shows matching results with higher precision
Keywords :
content-based retrieval; feature extraction; image matching; image retrieval; multimedia databases; relevance feedback; CBIR; arbitrary shape; content-based image retrieval; feature space; image retrieval; match regions; region growing; relevance feedback; user feedback; Content based retrieval; Extraterrestrial measurements; Feedback; Image databases; Image retrieval; Information retrieval; Probability distribution; Shape; Space technology; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Signal Processing, 2001 IEEE Fourth Workshop on
Conference_Location :
Cannes
Print_ISBN :
0-7803-7025-2
Type :
conf
DOI :
10.1109/MMSP.2001.962744
Filename :
962744
Link To Document :
بازگشت