Automatic classification of photographs and graphics

Yuanhao Chen; Zhiwei Li; Mingjing Li; Wei-Ying Ma

doi:10.1109/ICME.2006.262695

Automatic classification of photographs and graphics

Yuanhao Chen, Zhiwei Li, Mingjing Li, Wei-Ying Ma

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

21 Citations (Scopus)

Abstract

In general, digital images can be classified into photographs and computer graphics. This taxonomy is very useful in many applications, such as web image search. However, there are no effective methods to perform this classification automatically. In this paper, we manage to solve this problem from two aspects. At first, we propose some novel low-level features that can reveal perceptional differences between photographs and graphics. Then, we adopt an effective algorithm to perform the classification. The experiments conducted on a large-scale image database indicate the effectiveness of our algorithm. © 2006 IEEE.

Original language	English
Title of host publication	2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
Pages	973-976
Volume	2006
DOIs	https://doi.org/10.1109/ICME.2006.262695
Publication status	Published - 2006
Externally published	Yes
Event	2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Toronto, ON, Canada Duration: 9 Jul 2006 → 12 Jul 2006

Publication series

Name	2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
Volume	2006

Conference

Conference	2006 IEEE International Conference on Multimedia and Expo, ICME 2006
Place	Canada
City	Toronto, ON
Period	9/07/06 → 12/07/06

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

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title = "Automatic classification of photographs and graphics",

abstract = "In general, digital images can be classified into photographs and computer graphics. This taxonomy is very useful in many applications, such as web image search. However, there are no effective methods to perform this classification automatically. In this paper, we manage to solve this problem from two aspects. At first, we propose some novel low-level features that can reveal perceptional differences between photographs and graphics. Then, we adopt an effective algorithm to perform the classification. The experiments conducted on a large-scale image database indicate the effectiveness of our algorithm. {\textcopyright} 2006 IEEE.",

author = "Yuanhao Chen and Zhiwei Li and Mingjing Li and Wei-Ying Ma",

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language = "English",

isbn = "1424403677",

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booktitle = "2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings",

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Chen, Y, Li, Z, Li, M & Ma, W-Y 2006, Automatic classification of photographs and graphics. in 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings. vol. 2006, 4036764, 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings, vol. 2006, pp. 973-976, 2006 IEEE International Conference on Multimedia and Expo, ICME 2006, Toronto, ON, Canada, 9/07/06. https://doi.org/10.1109/ICME.2006.262695

Automatic classification of photographs and graphics. / Chen, Yuanhao; Li, Zhiwei; Li, Mingjing et al.
2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings. Vol. 2006 2006. p. 973-976 4036764 (2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings; Vol. 2006).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Automatic classification of photographs and graphics

AU - Chen, Yuanhao

AU - Li, Zhiwei

AU - Li, Mingjing

AU - Ma, Wei-Ying

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2006

Y1 - 2006

N2 - In general, digital images can be classified into photographs and computer graphics. This taxonomy is very useful in many applications, such as web image search. However, there are no effective methods to perform this classification automatically. In this paper, we manage to solve this problem from two aspects. At first, we propose some novel low-level features that can reveal perceptional differences between photographs and graphics. Then, we adopt an effective algorithm to perform the classification. The experiments conducted on a large-scale image database indicate the effectiveness of our algorithm. © 2006 IEEE.

AB - In general, digital images can be classified into photographs and computer graphics. This taxonomy is very useful in many applications, such as web image search. However, there are no effective methods to perform this classification automatically. In this paper, we manage to solve this problem from two aspects. At first, we propose some novel low-level features that can reveal perceptional differences between photographs and graphics. Then, we adopt an effective algorithm to perform the classification. The experiments conducted on a large-scale image database indicate the effectiveness of our algorithm. © 2006 IEEE.

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DO - 10.1109/ICME.2006.262695

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 1424403677

SN - 9781424403677

VL - 2006

T3 - 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings

SP - 973

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BT - 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings

T2 - 2006 IEEE International Conference on Multimedia and Expo, ICME 2006

Y2 - 9 July 2006 through 12 July 2006

ER -

Automatic classification of photographs and graphics

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