A Similarity-Based Approach for Audiovisual Document Classification Using Temporal Relation Analysis. (15th March 2011)

• Record Type: Journal Article
• Authors: Ibrahim Ibrahim, Zein Al Abidin Zein Al Abidin; Ferrane Ferrane, Isabelle Isabelle; Joly Joly, Philippe Philippe
• Other Names: Berrani Berrani Sid-Ahmed Sid-Ahmed Academic Editor.
• Is Part Of: EURASIP journal on image and video processing. Volume 2011(2011)
• Publication Date: 2011-03-15
• Subjects: Image processing -- Digital techniques -- Periodicals; Digital video -- Periodicals; Traitement d'images; Vidéo numérique; Digital video; Image processing -- Digital techniques; Periodicals; Electronic journal; Electronic journals; 621.367
• DOI: 10.1155/2011/537372
• Languages: English
• ISSNs: 1687-5176

Abstract

Abstract : We propose a novel approach for video classification that bases on the analysis of the temporal relationships between the basic events in audiovisual documents. Starting from basic segmentation results, we define a new representation method that is called Temporal Relation Matrix (TRM). Each document is then described by a set of TRMs, the analysis of which makes events of a higher level stand out. This representation has been first designed to analyze any audiovisual document in order to find events that may well characterize its content and its structure. The aim of this work is to use this representation to compute a similarity measure between two documents. Approaches for audiovisual documents classification are presented and discussed. Experimentations are done on a set of 242 video documents and the results show the efficiency of our proposals.