Spatial hierarchy of textons distributions for scene classification

Sebatiano Battiato, Giovanni Maria Farinella, Giovanni Gallo, Daniele Ravì

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

24 Citations (Scopus)


This paper proposes a method to recognize scene categories using bags of visual words obtained hierarchically partitioning into subregion the input images. Specifically, for each subregion the Textons distribution and the extension of the corresponding subregion are taken into account. The bags of visual words computed on the subregions are weighted and used to represent the whole scene. The classification of scenes is carried out by a Support Vector Machine. A k-nearest neighbor algorithm and a similarity measure based on Bhattacharyya coefficient are used to retrieve from the scene database those that contain similar visual content to a given a scene used as query. Experimental tests using fifteen different scene categories show that the proposed approach achieves good performances with respect to the state of the art methods.

Original languageEnglish
Title of host publicationAdvances in Multimedia Modeling - 15th International Multimedia Modeling Conference, MMM 2009, Proceedings
Number of pages11
Publication statusPublished - 2009
Externally publishedYes
Event15th International Multimedia Modeling Conference, MMM 2009 - Sophia-Antipolis, France
Duration: 7 Jan 20099 Jan 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5371 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference15th International Multimedia Modeling Conference, MMM 2009


  • Scene Classification
  • Spatial Distributions
  • Textons


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