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Cited by 224

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

When is scene identification just texture recognition?

Open access
Renninger, Laura Walker, Malik, Jitendra·2004·Vision Research

Abstract

Subjects were asked to identify scenes after very brief exposures (<70 ms). Their performance was always above chance and improved with exposure duration, confirming that subjects can get the gist of a scene with one fixation. We propose that a simple texture analysis of the image can provide a useful cue towards rapid scene identification. Our model learns texture features across scene categories and then uses this knowledge to identify new scenes. The texture analysis leads to similar identifications and confusions as subjects with limited processing time. We conclude that early scene identification can be explained with a simple texture recognition model.

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Metadata

Authors
Renninger, L. W., & Malik, J.
Venue
Vision Research
Publisher
Elsevier BV
Published
2004-09
Volume
44
Issue
19
Pages
2301-2311
ISSN
0042-6989 (ISSN-L)
OpenAlex
W2103215849
Cited by
224
References
4
FWCI
3.68
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: When is scene identification just texture recognition? https://app.cochat.ai/papers/10.1016/j.visres.2004.04.006
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Renninger, L. W., & Malik, J. (2004). When is scene identification just texture recognition? Vision Research. https://doi.org/10.1016/j.visres.2004.04.006

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.