Title :
Spatial color histograms for content-based image retrieval
Author :
Rao, Aibing ; Srihari, Rohini K. ; Zhang, Zhongfei
Author_Institution :
Center of Excellence for Document Anal. & Recognition, State Univ. of New York, Buffalo, NY, USA
Abstract :
The color histogram is an important technique for color image database indexing and retrieval. In this paper, the traditional color histogram is modified to capture the spatial layout information of each color, and three types of spatial color histograms are introduced: annular, angular and hybrid color histograms. Experiments show that, with a proper trade-off between the granularity in the color and spatial dimensions, these histograms outperform both the traditional color histogram and some existing histogram refinements such as the color coherent vector
Keywords :
content-based retrieval; data visualisation; database indexing; image colour analysis; software performance evaluation; statistics; visual databases; angular color histograms; annular color histograms; color coherent vector; color dimension granularity; color image database indexing; content-based image retrieval; histogram refinements; hybrid color histograms; performance; spatial color histograms; spatial dimension granularity; spatial layout information; Content based retrieval; Histograms; Image analysis; Image color analysis; Image recognition; Image retrieval; Indexing; Mathematical model; Statistical distributions; Text analysis;
Conference_Titel :
Tools with Artificial Intelligence, 1999. Proceedings. 11th IEEE International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7695-0456-6
DOI :
10.1109/TAI.1999.809784