A Flexible Subblock-based Image Retrieval Scheme

Byoung Chul Ko, Hae Sung Lee, Hyeran Byun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this research, we propose a flexible subblock image retrieval scheme which is robust to object translation, lighting change, object appearance or disappearance in an image which is divided into 9 non-overlapping subblocks. Furthermore, using Ohta-color moments and biorthogonal wavelet frames from each subblock, we can reduce the dimension of color space and improve the retrieval performance. Also, as two features are applied to the multi-step k-nearest neighbor algorithm, this system clearly outperforms the global color histogram intersection, RGB moments, and HSI moments using the same method.

Original languageEnglish
Title of host publicationProceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000, Volume 2
EditorsP.P. Wang, P.P. Wang
Pages155-159
Number of pages5
Edition2
Publication statusPublished - 2000 Dec 1
EventProceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000 - Atlantic City, NJ, United States
Duration: 2000 Feb 272000 Mar 3

Publication series

NameProceedings of the Joint Conference on Information Sciences
Number2
Volume5

Other

OtherProceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000
CountryUnited States
CityAtlantic City, NJ
Period00/2/2700/3/3

Fingerprint

Image retrieval
Color
Lighting

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

Ko, B. C., Lee, H. S., & Byun, H. (2000). A Flexible Subblock-based Image Retrieval Scheme. In P. P. Wang, & P. P. Wang (Eds.), Proceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000, Volume 2 (2 ed., pp. 155-159). (Proceedings of the Joint Conference on Information Sciences; Vol. 5, No. 2).
Ko, Byoung Chul ; Lee, Hae Sung ; Byun, Hyeran. / A Flexible Subblock-based Image Retrieval Scheme. Proceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000, Volume 2. editor / P.P. Wang ; P.P. Wang. 2. ed. 2000. pp. 155-159 (Proceedings of the Joint Conference on Information Sciences; 2).
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title = "A Flexible Subblock-based Image Retrieval Scheme",
abstract = "In this research, we propose a flexible subblock image retrieval scheme which is robust to object translation, lighting change, object appearance or disappearance in an image which is divided into 9 non-overlapping subblocks. Furthermore, using Ohta-color moments and biorthogonal wavelet frames from each subblock, we can reduce the dimension of color space and improve the retrieval performance. Also, as two features are applied to the multi-step k-nearest neighbor algorithm, this system clearly outperforms the global color histogram intersection, RGB moments, and HSI moments using the same method.",
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Ko, BC, Lee, HS & Byun, H 2000, A Flexible Subblock-based Image Retrieval Scheme. in PP Wang & PP Wang (eds), Proceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000, Volume 2. 2 edn, Proceedings of the Joint Conference on Information Sciences, no. 2, vol. 5, pp. 155-159, Proceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000, Atlantic City, NJ, United States, 00/2/27.

A Flexible Subblock-based Image Retrieval Scheme. / Ko, Byoung Chul; Lee, Hae Sung; Byun, Hyeran.

Proceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000, Volume 2. ed. / P.P. Wang; P.P. Wang. 2. ed. 2000. p. 155-159 (Proceedings of the Joint Conference on Information Sciences; Vol. 5, No. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - A Flexible Subblock-based Image Retrieval Scheme

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N2 - In this research, we propose a flexible subblock image retrieval scheme which is robust to object translation, lighting change, object appearance or disappearance in an image which is divided into 9 non-overlapping subblocks. Furthermore, using Ohta-color moments and biorthogonal wavelet frames from each subblock, we can reduce the dimension of color space and improve the retrieval performance. Also, as two features are applied to the multi-step k-nearest neighbor algorithm, this system clearly outperforms the global color histogram intersection, RGB moments, and HSI moments using the same method.

AB - In this research, we propose a flexible subblock image retrieval scheme which is robust to object translation, lighting change, object appearance or disappearance in an image which is divided into 9 non-overlapping subblocks. Furthermore, using Ohta-color moments and biorthogonal wavelet frames from each subblock, we can reduce the dimension of color space and improve the retrieval performance. Also, as two features are applied to the multi-step k-nearest neighbor algorithm, this system clearly outperforms the global color histogram intersection, RGB moments, and HSI moments using the same method.

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Ko BC, Lee HS, Byun H. A Flexible Subblock-based Image Retrieval Scheme. In Wang PP, Wang PP, editors, Proceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000, Volume 2. 2 ed. 2000. p. 155-159. (Proceedings of the Joint Conference on Information Sciences; 2).