NDLI: Estimating the photorealism of images: distinguishing paintings from photographs

Content Provider	IEEE Xplore Digital Library
Author	Cutzu, F. Hammoud, R. Leykin, A.
Copyright Year	2003
Description	Author affiliation: Dept. of Comput. Sci., Indiana Univ., Bloomington, IN, USA (Cutzu, F.; Hammoud, R.; Leykin, A.)
Abstract	Automatic classification of an image as a photograph of a real-scene or as a painting is potentially useful for image retrieval and Web site filtering applications. The main contribution of the paper is the proposition of several features derived from the color, edge, and gray-scale-texture information of the image that effectively discriminate paintings from photographs. For example, we found that paintings contain significantly more pure-color edges, and that certain gray-scale-texture measurements (mean and variance of Gabor filters) are larger for photographs. Using a large set of images (12000) collected from different Web sites, the proposed features exhibit very promising classification performance (over 90%). A comparative analysis of the automatic classification results and psychophysical data is reported, suggesting that the proposed automatic classifier estimates the perceptual photorealism of a given picture.
Sponsorship	IEEE Comput. Soc Tech. Committee on Pattern Anal. & Machine Intelligence (TCPAMI)
File Size	1847230
File Format	PDF
ISBN	0769519008
ISSN	10636919
DOI	10.1109/CVPR.2003.1211484
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-06-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Painting Computer graphics Application software Psychology Layout Humans Cities and towns Computer science Image retrieval Information filtering
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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