The importance of long-range interactions to texture similarity

Xinghui Dong, Mike J. Chantler

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

8 Citations (Scopus)

Abstract

We have tested 51 sets of texture features for estimating the perceptual similarity between textures. Our results show that these computational features only agree with human judgments at an average rate of 57.76%. In a second experiment we show that the agreement rates, between humans and computational features, increase when humans are not allowed to use long-range interactions beyond 19×19 pixels. We believe that this experiment provides evidence that humans exploit long-range interactions which are not normally available to computational features.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages425-432
Number of pages8
Volume8047 LNCS
EditionPART 1
DOIs
Publication statusPublished - 26 Sep 2013
Event15th International Conference on Computer Analysis of Images and Patterns - York, United Kingdom
Duration: 27 Aug 201329 Aug 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume8047 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference15th International Conference on Computer Analysis of Images and Patterns
Abbreviated titleCAIP 2013
CountryUnited Kingdom
CityYork
Period27/08/1329/08/13

Keywords

  • Evaluation
  • Long- Range Interactions
  • Perceptual Similarity
  • Texture Features
  • Texture Similarity

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Dong, X., & Chantler, M. J. (2013). The importance of long-range interactions to texture similarity. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 1 ed., Vol. 8047 LNCS, pp. 425-432). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8047 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-40261-6_51