Content-based image visualization

Chaomei Chen; George Gagaudakis; Paul Rosin

doi:10.1109/IV.2000.859730

Content-based image visualization

Chaomei Chen, George Gagaudakis, Paul Rosin

Department of Library and Information Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

16 Citations (Scopus)

Abstract

The proliferation of content-based image retrieval techniques has highlighted the need to understand the relationship between image clustering based on low-level image features and image clustering made by human users. In conventional image retrieval systems, images are typically characterized by a range of features such as color, texture, and shape. However, little is known to what extent these low-level features can be effectively combined with information visualization techniques such that users may explore images in a digital libraty according to visual similarities. In this article, we compared and analyzed a number of Pathfinder networks of images generated based on such features. Salient structures of images are visualized according to features extracted from color, texture, and shape orientation. Implications for visualizing and constructing hypermedia systems are discussed.

Original language	English
Title of host publication	Proceedings - IEEE International Conference on Information Visualisation, IV 2000
Editors	Ebad Banissi, Mark W. McK. Bannatyne, Chaomei Chen, Farzad Khosrowshahi, Muhammad Sarfraz, Anna Ursyn
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	13-18
Number of pages	6
ISBN (Electronic)	0769507433
DOIs	https://doi.org/10.1109/IV.2000.859730
Publication status	Published - 2000
Event	4th IEEE International Conference on Information Visualisation, IV 2000 - London, United Kingdom Duration: 2000 Jul 19 → 2000 Jul 21

Publication series

Name	Proceedings of the International Conference on Information Visualisation
Volume	2000-July
ISSN (Print)	1093-9547

Conference

Conference	4th IEEE International Conference on Information Visualisation, IV 2000
Country/Territory	United Kingdom
City	London
Period	00/7/19 → 00/7/21

Bibliographical note

Publisher Copyright:
© 2000 IEEE.

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Computer Vision and Pattern Recognition

Access to Document

10.1109/IV.2000.859730

Cite this

Chen, C., Gagaudakis, G., & Rosin, P. (2000). Content-based image visualization. In E. Banissi, M. W. McK. Bannatyne, C. Chen, F. Khosrowshahi, M. Sarfraz, & A. Ursyn (Eds.), Proceedings - IEEE International Conference on Information Visualisation, IV 2000 (pp. 13-18). (Proceedings of the International Conference on Information Visualisation; Vol. 2000-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IV.2000.859730

Chen, Chaomei ; Gagaudakis, George ; Rosin, Paul. / Content-based image visualization. Proceedings - IEEE International Conference on Information Visualisation, IV 2000. editor / Ebad Banissi ; Mark W. McK. Bannatyne ; Chaomei Chen ; Farzad Khosrowshahi ; Muhammad Sarfraz ; Anna Ursyn. Institute of Electrical and Electronics Engineers Inc., 2000. pp. 13-18 (Proceedings of the International Conference on Information Visualisation).

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editor = "Ebad Banissi and {McK. Bannatyne}, {Mark W.} and Chaomei Chen and Farzad Khosrowshahi and Muhammad Sarfraz and Anna Ursyn",

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Chen, C, Gagaudakis, G & Rosin, P 2000, Content-based image visualization. in E Banissi, MW McK. Bannatyne, C Chen, F Khosrowshahi, M Sarfraz & A Ursyn (eds), Proceedings - IEEE International Conference on Information Visualisation, IV 2000. Proceedings of the International Conference on Information Visualisation, vol. 2000-July, Institute of Electrical and Electronics Engineers Inc., pp. 13-18, 4th IEEE International Conference on Information Visualisation, IV 2000, London, United Kingdom, 00/7/19. https://doi.org/10.1109/IV.2000.859730

Content-based image visualization. / Chen, Chaomei; Gagaudakis, George; Rosin, Paul.
Proceedings - IEEE International Conference on Information Visualisation, IV 2000. ed. / Ebad Banissi; Mark W. McK. Bannatyne; Chaomei Chen; Farzad Khosrowshahi; Muhammad Sarfraz; Anna Ursyn. Institute of Electrical and Electronics Engineers Inc., 2000. p. 13-18 (Proceedings of the International Conference on Information Visualisation; Vol. 2000-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - The proliferation of content-based image retrieval techniques has highlighted the need to understand the relationship between image clustering based on low-level image features and image clustering made by human users. In conventional image retrieval systems, images are typically characterized by a range of features such as color, texture, and shape. However, little is known to what extent these low-level features can be effectively combined with information visualization techniques such that users may explore images in a digital libraty according to visual similarities. In this article, we compared and analyzed a number of Pathfinder networks of images generated based on such features. Salient structures of images are visualized according to features extracted from color, texture, and shape orientation. Implications for visualizing and constructing hypermedia systems are discussed.

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Chen C, Gagaudakis G, Rosin P. Content-based image visualization. In Banissi E, McK. Bannatyne MW, Chen C, Khosrowshahi F, Sarfraz M, Ursyn A, editors, Proceedings - IEEE International Conference on Information Visualisation, IV 2000. Institute of Electrical and Electronics Engineers Inc. 2000. p. 13-18. (Proceedings of the International Conference on Information Visualisation). doi: 10.1109/IV.2000.859730

Content-based image visualization

Abstract

Publication series

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Bibliographical note

All Science Journal Classification (ASJC) codes

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