TY - GEN
T1 - Dominant color correlogram descriptor for content-based image retrieval
AU - Fierro-Radilla, Atoany
AU - Perez-Daniel, Karina
AU - Nakano-Miyatake, Mariko
AU - Benois, Jenny
N1 - Publisher Copyright:
© 2015 SPIE.
PY - 2015
Y1 - 2015
N2 - Content-based image retrieval (CBIR) has become an interesting and urgent research topic due to the increase of necessity of indexing and classification of multimedia content in large databases. The low level visual descriptors, such as color-based, texture-based and shape-based descriptors, have been used for the CBIR task. In this paper we propose a color-based descriptor which describes well image contents, integrating both global feature provided by dominant color and local features provided by color correlogram. The performance of the proposed descriptor, called Dominant Color Correlogram descriptor (DCCD), is evaluated comparing with some MPEG-7 visual descriptors and other color-based descriptors reported in the literature, using two image datasets with different size and contents. The performance of the proposed descriptor is assessed using three different metrics commonly used in image retrieval task, which are ARP (Average Retrieval Precision), ARR (Average Retrieval Rate) and ANMRR (Average Normalized Modified Retrieval Rank). Also precision-recall curves are provided to show a better performance of the proposed descriptor compared with other color-based descriptors.
AB - Content-based image retrieval (CBIR) has become an interesting and urgent research topic due to the increase of necessity of indexing and classification of multimedia content in large databases. The low level visual descriptors, such as color-based, texture-based and shape-based descriptors, have been used for the CBIR task. In this paper we propose a color-based descriptor which describes well image contents, integrating both global feature provided by dominant color and local features provided by color correlogram. The performance of the proposed descriptor, called Dominant Color Correlogram descriptor (DCCD), is evaluated comparing with some MPEG-7 visual descriptors and other color-based descriptors reported in the literature, using two image datasets with different size and contents. The performance of the proposed descriptor is assessed using three different metrics commonly used in image retrieval task, which are ARP (Average Retrieval Precision), ARR (Average Retrieval Rate) and ANMRR (Average Normalized Modified Retrieval Rank). Also precision-recall curves are provided to show a better performance of the proposed descriptor compared with other color-based descriptors.
KW - Content-based image retrieval
KW - MPEG-7 visual descriptors
KW - color correlogram
KW - dominant color
KW - low level descriptors
UR - http://www.scopus.com/inward/record.url?scp=84925436791&partnerID=8YFLogxK
U2 - 10.1117/12.2179020
DO - 10.1117/12.2179020
M3 - Contribución a la conferencia
AN - SCOPUS:84925436791
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Sixth International Conference on Graphic and Image Processing, ICGIP 2014
A2 - Zhang, David
A2 - Wang, Yulin
A2 - Jiang, Xudong
PB - SPIE
T2 - 6th International Conference on Graphic and Image Processing, ICGIP 2014
Y2 - 24 October 2014 through 26 October 2014
ER -