Edge region color autocorrelogram: A new low-level feature applied in CBIR

Author

Chen, Xiaolin ; Yang, Xiaokang ; Zhang, Rui ; Liu, Anwen ; Zheng, Shibao

Author_Institution

Shanghai Key Lab. of Digital Media Process. & Transm., Shanghai Jiao Tong Univ., Shanghai, China

fYear

2010

fDate

24-26 March 2010

Firstpage

1

Lastpage

4

Abstract

Simple yet effective feature extraction is crucial for content- based image retrieval (CBIR). In this paper we propose a novel type of regional feature, which is called edge region color autocorrelogram (ERCAC). It aims to combine the color and shape characteristics of image jointly, by capturing both color distribution of image and spatial correlation of edge points with a structure-based early fusion. Hence, both color information and sketch information are encoded into a single representation. Experimental results show that our method has better performance on the task of TRECVID 2005 concept detection.

Keywords

content-based retrieval; edge detection; feature extraction; image colour analysis; image fusion; image retrieval; CBIR; color distribution; content- based image retrieval; edge region color autocorrelogram; feature extraction; sketch information; spatial correlation; Content based retrieval; Data mining; Feature extraction; Histograms; Image communication; Image edge detection; Image retrieval; Image storage; Information processing; Shape; CBIR; ERCAC; early fusion; low-level feature;

fLanguage

English

Publisher

ieee

Conference_Titel

Broadband Multimedia Systems and Broadcasting (BMSB), 2010 IEEE International Symposium on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-4461-8

Electronic_ISBN

978-1-4244-4462-5

Type

conf

DOI

10.1109/ISBMSB.2010.5463087

Filename

5463087