TY - GEN
T1 - Regional objects based image retrieval
AU - WU, Jian-Guo
AU - WANG, Xi-Zhao
AU - XING, Hong-Jie
N1 - This work is partly supported by the National Natural Science Foundation of China (No. 60903089; 61073121), the China Postdoctoral Science Foundation (No. 20080440820), the Natural Science Foundation of Hebei Province (No. F2009000231), the Scientific Research Project of Department of Education of Hebei Province (No. 2009410), the Postdoctoral Science Foundation of Hebei University, the Foundation of Hebei University (No. 2008123), and 2010 Baoding science Research and Development Project (10ZG008).
PY - 2011
Y1 - 2011
N2 - Content-based image retrieval has become an important research area. In order to extract the semantic information within the user's query concept, we propose an image retrieval method based on regional objects. It is regarded as the pre-processing of a given query image, that is to say, when we get a query image, it needs us to segment the regional object which is useful or interesting, and retrieve according to the segmented fragment. Moreover, we propose a correlation coefficient based color representation. Experimental results demonstrate that our proposed approach performs much better than its related methods. Furthermore, the presented system has a high retrieval precision and keeps color consistency between the similarity images.
AB - Content-based image retrieval has become an important research area. In order to extract the semantic information within the user's query concept, we propose an image retrieval method based on regional objects. It is regarded as the pre-processing of a given query image, that is to say, when we get a query image, it needs us to segment the regional object which is useful or interesting, and retrieve according to the segmented fragment. Moreover, we propose a correlation coefficient based color representation. Experimental results demonstrate that our proposed approach performs much better than its related methods. Furthermore, the presented system has a high retrieval precision and keeps color consistency between the similarity images.
KW - Content-based image retrieval
KW - Correlation coefficient
KW - Pre-processing
KW - Regional objects
UR - http://www.scopus.com/inward/record.url?scp=80052237481&partnerID=8YFLogxK
U2 - 10.1109/CCDC.2011.5968385
DO - 10.1109/CCDC.2011.5968385
M3 - Conference paper (refereed)
AN - SCOPUS:80052237481
SN - 9781424487370
T3 - Chinese Control and Decision Conference, CCDC
SP - 1273
EP - 1277
BT - Proceedings of the 2011 Chinese Control and Decision Conference, CCDC 2011
PB - IEEE
T2 - 2011 Chinese Control and Decision Conference, CCDC 2011
Y2 - 23 May 2011 through 25 May 2011
ER -