Title :
A Study of Intra-Modal Association Rules for Visual Modality Representation
Author :
Martinet, Jean ; Satoh, Shiníchi
Author_Institution :
Nat. Inst. of Inf., Tokyo
Abstract :
This paper presents a study of the use of association rules in document representation. It consists of an approach for building a compact and meaningful representation of low level features in the documents of a multimedia database. The proposed method is based on the discovery and the study of intra-modal association rules between individual objects in the context of a spatial-temporal window. The discovered relations are used to build mid-level objects capturing the most frequently occurring patterns in the database, possibly closer to high level concepts. We show the results of an evaluation assessing the quality of the representation with regards to its compactness.
Keywords :
data mining; document handling; multimedia databases; document representation; intra-modal association rule; multimedia database; spatial-temporal window; visual modality representation; Association rules; Clustering algorithms; Data mining; Human resource management; Informatics; Machine learning; Multimedia databases; Spatial databases; Terminology; Windows;
Conference_Titel :
Content-Based Multimedia Indexing, 2007. CBMI '07. International Workshop on
Conference_Location :
Bordeaux
Print_ISBN :
1-4244-1011-8
Electronic_ISBN :
1-4244-1011-8
DOI :
10.1109/CBMI.2007.385432