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The use of visual information in natural scenes

McCotter, M, Gosselin, F, Sowden, P and Schyns, P (2005) The use of visual information in natural scenes Visual Cognition, 12 (6). pp. 938-953.

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Abstract

Despite the complexity and diversity of natural scenes, humans are very fast and accurate at identifying basic-level scene categories, In this paper we develop a new technique (based on Bubbles. Gosselin & Schyns. 2001 as Schyns, Bonnar, & Gosselin, 2002) to determine some of the information requirements of basic-level scene categorizations, Using 2400 scenes from an established scene database the Fourier coefficients (Oliva & Torralba, 2001). the algorithm randomly samples the Fourier coefficients of the phase spectrum. Sampled Fourier coefficients retain their original phase while the phase of nonsampled coefficients is replaced with that of white noise. Observers categorized the stimuli into 8 basic-level categories. The location of the sampled Fourier coefficients leading to correct categorizations was recorded per trial. Statistical analyses revealed the major scales and orientations of the phase spectrum that observers used to distinguish scene categories.

Item Type: Article
Authors :
NameEmailORCID
McCotter, MUNSPECIFIEDUNSPECIFIED
Gosselin, FUNSPECIFIEDUNSPECIFIED
Sowden, Pp.sowden@surrey.ac.ukUNSPECIFIED
Schyns, PUNSPECIFIEDUNSPECIFIED
Date : 2005
Identification Number : 10.1080/13506280444000599
Uncontrolled Keywords : IMAGES STATISTICS PHASE RECOGNITION CATEGORIZATION AMPLITUDE SYSTEM REPRESENTATION PSYCHOPHYSICS ENVIRONMENT
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 09:08
Last Modified : 17 May 2017 14:40
URI: http://epubs.surrey.ac.uk/id/eprint/822445

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