Distinguishing photographs and graphics on the World Wide Web

Authors:
V. Athitsos;M. J. Swain;C. Frankel
Affiliations:
-;-;-
Venue:
CAIVL '97 Proceedings of the 1997 Workshop on Content-Based Access of Image and Video Libraries (CBAIVL '97)
Year:
1997

Citing 0
Cited 18

Image classification and retrieval on the World Wide Web

Proceedings of the fourth ACM conference on Digital libraries
Statistical color models with application to skin detection

International Journal of Computer Vision
Content-Based Classification of Digital Photos

MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
The role of high-level and low-level features in style-based retrieval and generation of multimedia presentations

The New Review of Hypermedia and Multimedia
Extraction, layout analysis and classification of diagrams in PDF documents

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Image Retrieval from the World Wide Web: Issues, Techniques, and Systems

ACM Computing Surveys (CSUR)
Effective browsing of web image search results

Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Distinguishing paintings from photographs

Computer Vision and Image Understanding
Detecting differences between photographs and computer generated images

SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
Detecting cartoons: a case study in automatic video-genre classification

ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Distinguishing paintings from photographs

Computer Vision and Image Understanding
'Oh web image, where art thou?'

MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
A color-action perceptual approach to the classification of animated movies

Proceedings of the 1st ACM International Conference on Multimedia Retrieval
IGC: an image genre classification system

AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
Classification of digital photos taken by photographers or home users

PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Personalized content presentation for virtual gallery

ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
Generalized Gaussian mixture models as a nonparametric Bayesian approach for clustering using class-specific visual features

Journal of Visual Communication and Image Representation
Technical Section: Automatic color realism enhancement for computer generated images

Computers and Graphics

Quantified Score

Hi-index	0.00

Visualization

Abstract

When we search for images in multimedia documents, we often have in mind specific image types that we are interested in; examples are photographs, graphics, maps, cartoons, portraits of people, and so on. This paper describes an automated system that classifies Web images as photographs or graphics. The design of the system is based on statistical observations about the image content of the two types, as well as learning techniques which make use of the vast amount of training data available on the Web. Text associated with the image can be used to further improve the accuracy of the classification. The system is used as a part of Webseer, an image search engine for the Web.