DocumentCode :
2050081
Title :
A new feature set for content based image retrieval
Author :
Rao, Marepalli B. ; Kavitha, C. ; Rao, B. Prabhakara ; Govardhan, A.
Author_Institution :
Dept. of CSE, Gudlavalleru Eng. Coll., Gudlavalleru, India
fYear :
2013
fDate :
21-22 Feb. 2013
Firstpage :
84
Lastpage :
89
Abstract :
An efficient feature set for retrieving color images from the image database is proposed in this paper. Features chosen here play an important role in bringing back the images from huge databases. This paper proposes a unique color feature based on vector quantization and texture feature based on the pattern of traversal. The Dominant Codebook (DC) is the new color feature designed from the compressed data achieved from the vector quantization. This Dominant Codebook describes set of pairs of Code Vectors and their percentage occupation in the image. The Scan Pattern Co-occurrence Matrix (SPCM) is the new texture feature designed to capture the traversal of adjacent pixels in a scan pattern. In addition to them, the difference between pixels which present in a particular scan pattern is also considered as another texture feature, this feature is named as Scan Pattern Internal Pixel Difference (SPIPD). These new color and texture features are combined to improve the performance of the image retrieval. The results of the experiments demonstrate that the proposed feature set outperforms the existing methods.
Keywords :
content-based retrieval; image coding; image colour analysis; image retrieval; image texture; matrix algebra; vector quantisation; visual databases; SPCM; SPIPD; code vectors; color feature; content based color image retrieval; data compression; dominant codebook; feature set; image database; scan pattern co-occurrence matrix; scan pattern internal pixel difference; texture feature; traversal pattern; vector quantization; Euclidean distance; Histograms; Image color analysis; Image retrieval; Vector quantization; Vectors; Dominant Codebook; Image Retrieval; Scan Pattern Co-occurrence Matrix; Scan Pattern Internal Pixel Difference; Vector Quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Communication and Embedded Systems (ICICES), 2013 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-5786-9
Type :
conf
DOI :
10.1109/ICICES.2013.6508182
Filename :
6508182
Link To Document :
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