A novel hierarchical approach to image retrieval using color and spatial information

Xiuqi Li, Shu Ching Chen, Mei Ling Shyu, Sheng-Tun Li, Borko Furht

研究成果: Conference contribution

3 引文 (Scopus)

摘要

A novel hierarchical approach to image retrieval is proposed. First, a color label histogram is used to effectively filter out the images that are not similar to the query image in color. The proposed color label histogram built by categorizing the pixel colors is computationally much more efficient compared to other approaches. Next, the class parameters of those images passing the first filter are used to identify the images similar to the query image in spatial layout. These class parameters are obtained automatically from the proposed unsupervised segmentation algorithm. Moreover, the wavelet decomposition coefficients are used to generate the initial partition for the segmentation algorithm. It doubles the segmentation performance. At the last stage, all images passing two filters are ranked based on the total normalized distance in color and spatial layout. The experiments show the effectiveness and efficiency of our approach.

原文English
主出版物標題Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings
編輯Yung-Chang Chen, Long-Wen Chang, Chiou-Ting Hsu
發行者Springer Verlag
頁面175-182
頁數8
ISBN(列印)3540002626, 9783540002628
出版狀態Published - 2002 一月 1
事件3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002 - Hsinchu, Taiwan
持續時間: 2002 十二月 162002 十二月 18

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2532
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Other

Other3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002
國家Taiwan
城市Hsinchu
期間02-12-1602-12-18

指紋

Spatial Information
Image retrieval
Image Retrieval
Color
Segmentation
Filter
Labels
Histogram
Layout
Wavelet decomposition
Query
Wavelet Decomposition
Pixels
Pixel
Partition
Coefficient
Experiments
Experiment

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

引用此文

Li, X., Chen, S. C., Shyu, M. L., Li, S-T., & Furht, B. (2002). A novel hierarchical approach to image retrieval using color and spatial information. 於 Y-C. Chen, L-W. Chang, & C-T. Hsu (編輯), Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings (頁 175-182). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 2532). Springer Verlag.
Li, Xiuqi ; Chen, Shu Ching ; Shyu, Mei Ling ; Li, Sheng-Tun ; Furht, Borko. / A novel hierarchical approach to image retrieval using color and spatial information. Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings. 編輯 / Yung-Chang Chen ; Long-Wen Chang ; Chiou-Ting Hsu. Springer Verlag, 2002. 頁 175-182 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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title = "A novel hierarchical approach to image retrieval using color and spatial information",
abstract = "A novel hierarchical approach to image retrieval is proposed. First, a color label histogram is used to effectively filter out the images that are not similar to the query image in color. The proposed color label histogram built by categorizing the pixel colors is computationally much more efficient compared to other approaches. Next, the class parameters of those images passing the first filter are used to identify the images similar to the query image in spatial layout. These class parameters are obtained automatically from the proposed unsupervised segmentation algorithm. Moreover, the wavelet decomposition coefficients are used to generate the initial partition for the segmentation algorithm. It doubles the segmentation performance. At the last stage, all images passing two filters are ranked based on the total normalized distance in color and spatial layout. The experiments show the effectiveness and efficiency of our approach.",
author = "Xiuqi Li and Chen, {Shu Ching} and Shyu, {Mei Ling} and Sheng-Tun Li and Borko Furht",
year = "2002",
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editor = "Yung-Chang Chen and Long-Wen Chang and Chiou-Ting Hsu",
booktitle = "Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings",
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Li, X, Chen, SC, Shyu, ML, Li, S-T & Furht, B 2002, A novel hierarchical approach to image retrieval using color and spatial information. 於 Y-C Chen, L-W Chang & C-T Hsu (編輯), Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 2532, Springer Verlag, 頁 175-182, 3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002, Hsinchu, Taiwan, 02-12-16.

A novel hierarchical approach to image retrieval using color and spatial information. / Li, Xiuqi; Chen, Shu Ching; Shyu, Mei Ling; Li, Sheng-Tun; Furht, Borko.

Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings. 編輯 / Yung-Chang Chen; Long-Wen Chang; Chiou-Ting Hsu. Springer Verlag, 2002. p. 175-182 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 2532).

研究成果: Conference contribution

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T1 - A novel hierarchical approach to image retrieval using color and spatial information

AU - Li, Xiuqi

AU - Chen, Shu Ching

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AU - Li, Sheng-Tun

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N2 - A novel hierarchical approach to image retrieval is proposed. First, a color label histogram is used to effectively filter out the images that are not similar to the query image in color. The proposed color label histogram built by categorizing the pixel colors is computationally much more efficient compared to other approaches. Next, the class parameters of those images passing the first filter are used to identify the images similar to the query image in spatial layout. These class parameters are obtained automatically from the proposed unsupervised segmentation algorithm. Moreover, the wavelet decomposition coefficients are used to generate the initial partition for the segmentation algorithm. It doubles the segmentation performance. At the last stage, all images passing two filters are ranked based on the total normalized distance in color and spatial layout. The experiments show the effectiveness and efficiency of our approach.

AB - A novel hierarchical approach to image retrieval is proposed. First, a color label histogram is used to effectively filter out the images that are not similar to the query image in color. The proposed color label histogram built by categorizing the pixel colors is computationally much more efficient compared to other approaches. Next, the class parameters of those images passing the first filter are used to identify the images similar to the query image in spatial layout. These class parameters are obtained automatically from the proposed unsupervised segmentation algorithm. Moreover, the wavelet decomposition coefficients are used to generate the initial partition for the segmentation algorithm. It doubles the segmentation performance. At the last stage, all images passing two filters are ranked based on the total normalized distance in color and spatial layout. The experiments show the effectiveness and efficiency of our approach.

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Li X, Chen SC, Shyu ML, Li S-T, Furht B. A novel hierarchical approach to image retrieval using color and spatial information. 於 Chen Y-C, Chang L-W, Hsu C-T, 編輯, Advances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings. Springer Verlag. 2002. p. 175-182. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).