On discrimination between photorealistic and photographic images

Ying Wang, Pierre Moulin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a classifier built for differentiating digital photorealistic images from digital photographs. Results show that our 144-dimensional (144-D) feature vector extracted from characteristic functions of wavelet histograms is more efficient than Lyu and Farid's 216-D feature vector [1], and Ng et al.'s 192-D feature vector [2]. Our classifier outperforms Lyu and Farid's state-of-art method while only requiring half of their feature extraction and testing time.

Original languageEnglish (US)
Title of host publication2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
StatePublished - Dec 1 2006
Event2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France
Duration: May 14 2006May 19 2006

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
ISSN (Print)1520-6149

Other

Other2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
CountryFrance
CityToulouse
Period5/14/065/19/06

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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