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Author Te-Wei Chiang ♦ Tienwei Tsai ♦ Yo-Ping Huang
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2007
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Histograms ♦ Content based retrieval ♦ Image databases ♦ Image converters ♦ Space technology ♦ Image retrieval ♦ Information retrieval ♦ Spatial databases ♦ Pixel ♦ Indexing
Abstract In this paper, a grid-based indexing method for content-based image retrieval (CBIR) is proposed to improve the retrieval performance. To develop a general retrieval scheme which is less dependent on domain-specific knowledge, the features of an image are extracted from its color histograms. In establishing database, quantization technique is applied to quantize the feature vector of each database image, such that the feature space is partitioned into a finite number of grids, each of which corresponds to a grid code (GC). On querying an image, a reduced set of candidate images which have the same GC (or adjacent GCs) as that of the query image is obtained. In the fine matching stage, only the remaining candidates need to be computed for the detailed similarity comparison. The experimental results show that the proposed method leads to a fast retrieval with good accuracy.
Description Author affiliation: Chihlee Inst. of Technol., Taipei (Te-Wei Chiang)
ISBN 0769528821
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2007-09-05
Publisher Place Japan
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 180.92 kB
Page Count 1
Starting Page 222
Ending Page 222

Source: IEEE Xplore Digital Library