DocumentCode :
1981925
Title :
An empirical study of color-spatial retrieval techniques for large image databases
Author :
Yee, Chia Yeow ; Tan, Kian-Lee ; Chua, Tat Seng ; Ooi, Beng Chin
Author_Institution :
Dept. of Inf. Syst. & Comput. Sci., Nat. Univ. of Singapore, Singapore
fYear :
1998
fDate :
28 Jun-1 Jul 1998
Firstpage :
218
Lastpage :
221
Abstract :
We present an experimental evaluation of three color-spatial retrieval techniques-the signature-based technique, the partition-based algorithm and the cluster-based method. The experimental study is performed on an image database consisting of 12000 images. With the proliferation of image retrieval mechanisms and the lack of extensive performance studies, the experimental results can serve as guidelines in selecting a suitable technique or designing a new technique
Keywords :
database theory; image colour analysis; query processing; very large databases; visual databases; cluster-based method; color-spatial retrieval techniques; content-based image retrieval; image retrieval mechanisms; large image databases; partition-based algorithm; precision; recall; retrieval efficiency; signature-based technique; Clustering algorithms; Computer science; Content based retrieval; Guidelines; Histograms; Image databases; Image retrieval; Information retrieval; Information systems; Partitioning algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Computing and Systems, 1998. Proceedings. IEEE International Conference on
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-8557-3
Type :
conf
DOI :
10.1109/MMCS.1998.693644
Filename :
693644
Link To Document :
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