Multimedia indexing and retrieval with features association rules mining

Anicet Kouomou-Choupo, Laure Berti-Équille, Annie Morin

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

5 Citations (Scopus)

Abstract

The administration of very large collections of images accentuates the classical problems of indexing and efficiently querying information. This paper describes a new method applied to very large still image databases that combines two data mining techniques: clustering and association rules mining in order to better organize image collections and to improve the performance of queries. The objective of our work is to exploit association rules discovered by mining global MPEG-7 features data and to adapt the query processing. In our experiment, we use five MPEG-7 features to describe several thousands of still images. For each feature, we initially determine several clusters of images by using a K-mean algorithm. Then, we generate association rules between different clusters of features and exploit these rules to rewrite the query and to optimize the query-by-content processing.

Original languageEnglish
Title of host publication2004 IEEE International Conference on Multimedia and Expo (ICME)
Pages1299-1302
Number of pages4
Publication statusPublished - 1 Dec 2004
Event2004 IEEE International Conference on Multimedia and Expo (ICME) - Taipei, Taiwan, Province of China
Duration: 27 Jun 200430 Jun 2004

Publication series

Name2004 IEEE International Conference on Multimedia and Expo (ICME)
Volume2

Other

Other2004 IEEE International Conference on Multimedia and Expo (ICME)
CountryTaiwan, Province of China
CityTaipei
Period27/6/0430/6/04

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Kouomou-Choupo, A., Berti-Équille, L., & Morin, A. (2004). Multimedia indexing and retrieval with features association rules mining. In 2004 IEEE International Conference on Multimedia and Expo (ICME) (pp. 1299-1302). (2004 IEEE International Conference on Multimedia and Expo (ICME); Vol. 2).