Set similarity measures for images based on collective knowledge

Valentina Franzoni*, Clement H C LEUNG, Yuanxi Li, Paolo MENGONI, Alfredo Milani

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

32 Citations (Scopus)


This work introduces a new class of group similarity where different measures are parameterized with respect to a basic similarity defined on the elements of the sets. Group similarity measures are of great interest for many application domains, since they can be used to evaluate similarity of objects in term of the similarity of the associated sets, for example in multimedia collaborative repositories where images, videos and other multimedia are annotated with meaningful tags whose semantics reflects the collective knowledge of a community of users. The group similarity classes are formally defined and their properties are described and discussed. Experimental results, obtained in the domain of images semantic similarity by using search engine based tag similarity, show the adequacy of the proposed approach in order to reflect the collective notion of semantic similarity.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2015 - 15th International Conference, Proceedings
EditorsSanjay Misra, Bernady O. Apduhan, Beniamino Murgante, Marina L. Gavrilova, David Taniar, Osvaldo Gervasi, Sanjay Misra, Carmelo Torre, Ana Maria A.C. Rocha
PublisherSpringer Verlag
Number of pages10
ISBN (Print)9783319214030
Publication statusPublished - 2015
Event15th International Conference on Computational Science and Its Applications, ICCSA 2015 - Banff, Canada
Duration: 22 Jun 201525 Jun 2015

Publication series

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


Conference15th International Conference on Computational Science and Its Applications, ICCSA 2015

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

User-Defined Keywords

  • Collective knowledge
  • Data mining
  • Group similarity
  • Image retrieval
  • Knowledge discovery
  • Semantic distance


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