Adaptive processing of tree-structure image representation

Zhiyong Wang; Zheru Chi; Dagan Feng; S. Y. Cho

doi:10.1007/3-540-45453-5_133

Adaptive processing of tree-structure image representation

Zhiyong Wang
, Zheru Chi
, Dagan Feng
, S. Y. Cho

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

10 Citations (Scopus)

Abstract

Much research on image analysis and processing has been carried out for the last few decades. However, it is still challenging to represent the image contents effectively and satisfactorily. In this paper, a segmentation-free tree-structure image representation is presented. In order to learn the structure representation, a back-propagation through structure (BPTS) algorithm is adopted. Experiments on plant image classification and retrieval refining using only six visual features were conducted on a plant image database and a natural scene image database, respectively. Encouraging results have been achieved.

Original language	English
Title of host publication	Advances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings
Editors	Heung-Yeung Shum, Mark Liao, Shih-Fu Chang
Publisher	Springer Verlag
Pages	989-995
Number of pages	7
ISBN (Print)	3540426809, 9783540426806
DOIs	https://doi.org/10.1007/3-540-45453-5_133
Publication status	Published - 2001
Externally published	Yes
Event	2nd IEEE Pacific-Rim Conference on Multimedia, IEEE-PCM 2001 - Beijing, China Duration: 24 Oct 2001 → 26 Oct 2001

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2195
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd IEEE Pacific-Rim Conference on Multimedia, IEEE-PCM 2001
Country/Territory	China
City	Beijing
Period	24/10/01 → 26/10/01

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 15 Life on Land

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/3-540-45453-5_133

Cite this

Wang, Z., Chi, Z., Feng, D., & Cho, S. Y. (2001). Adaptive processing of tree-structure image representation. In H.-Y. Shum, M. Liao, & S.-F. Chang (Eds.), Advances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings (pp. 989-995). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2195). Springer Verlag. https://doi.org/10.1007/3-540-45453-5_133

Wang, Zhiyong ; Chi, Zheru ; Feng, Dagan et al. / Adaptive processing of tree-structure image representation. Advances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings. editor / Heung-Yeung Shum ; Mark Liao ; Shih-Fu Chang. Springer Verlag, 2001. pp. 989-995 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Adaptive processing of tree-structure image representation",

abstract = "Much research on image analysis and processing has been carried out for the last few decades. However, it is still challenging to represent the image contents effectively and satisfactorily. In this paper, a segmentation-free tree-structure image representation is presented. In order to learn the structure representation, a back-propagation through structure (BPTS) algorithm is adopted. Experiments on plant image classification and retrieval refining using only six visual features were conducted on a plant image database and a natural scene image database, respectively. Encouraging results have been achieved.",

author = "Zhiyong Wang and Zheru Chi and Dagan Feng and Cho, \{S. Y.\}",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001.; 2nd IEEE Pacific-Rim Conference on Multimedia, IEEE-PCM 2001 ; Conference date: 24-10-2001 Through 26-10-2001",

year = "2001",

doi = "10.1007/3-540-45453-5\_133",

language = "English",

isbn = "3540426809",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "989--995",

editor = "Heung-Yeung Shum and Mark Liao and Shih-Fu Chang",

booktitle = "Advances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings",

address = "Germany",

}

Wang, Z, Chi, Z, Feng, D & Cho, SY 2001, Adaptive processing of tree-structure image representation. in H-Y Shum, M Liao & S-F Chang (eds), Advances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2195, Springer Verlag, pp. 989-995, 2nd IEEE Pacific-Rim Conference on Multimedia, IEEE-PCM 2001, Beijing, China, 24/10/01. https://doi.org/10.1007/3-540-45453-5_133

Adaptive processing of tree-structure image representation. / Wang, Zhiyong; Chi, Zheru; Feng, Dagan et al.
Advances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings. ed. / Heung-Yeung Shum; Mark Liao; Shih-Fu Chang. Springer Verlag, 2001. p. 989-995 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2195).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Adaptive processing of tree-structure image representation

AU - Wang, Zhiyong

AU - Chi, Zheru

AU - Feng, Dagan

AU - Cho, S. Y.

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2001.

PY - 2001

Y1 - 2001

N2 - Much research on image analysis and processing has been carried out for the last few decades. However, it is still challenging to represent the image contents effectively and satisfactorily. In this paper, a segmentation-free tree-structure image representation is presented. In order to learn the structure representation, a back-propagation through structure (BPTS) algorithm is adopted. Experiments on plant image classification and retrieval refining using only six visual features were conducted on a plant image database and a natural scene image database, respectively. Encouraging results have been achieved.

AB - Much research on image analysis and processing has been carried out for the last few decades. However, it is still challenging to represent the image contents effectively and satisfactorily. In this paper, a segmentation-free tree-structure image representation is presented. In order to learn the structure representation, a back-propagation through structure (BPTS) algorithm is adopted. Experiments on plant image classification and retrieval refining using only six visual features were conducted on a plant image database and a natural scene image database, respectively. Encouraging results have been achieved.

UR - https://www.scopus.com/pages/publications/84946711948

U2 - 10.1007/3-540-45453-5_133

DO - 10.1007/3-540-45453-5_133

M3 - Conference contribution

AN - SCOPUS:84946711948

SN - 3540426809

SN - 9783540426806

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 989

EP - 995

BT - Advances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings

A2 - Shum, Heung-Yeung

A2 - Liao, Mark

A2 - Chang, Shih-Fu

PB - Springer Verlag

T2 - 2nd IEEE Pacific-Rim Conference on Multimedia, IEEE-PCM 2001

Y2 - 24 October 2001 through 26 October 2001

ER -

Wang Z, Chi Z, Feng D, Cho SY. Adaptive processing of tree-structure image representation. In Shum HY, Liao M, Chang SF, editors, Advances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings. Springer Verlag. 2001. p. 989-995. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-45453-5_133

Adaptive processing of tree-structure image representation

Abstract

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Conference

UN SDGs

ASJC Scopus subject areas

Access to Document

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