A Similarity-Based Approach for Audiovisual Document Classification Using Temporal Relation Analysis

A Similarity-Based Approach for Audiovisual Document Classification Using Temporal Relation Analysis

<p>Abstract</p> <p>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 Tempora...

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Main Authors: Ferrane Isabelle, Joly Philippe, Ibrahim ZeinAlAbidin
Format: Article
Language:English
Published: SpringerOpen 2011-01-01
Series:EURASIP Journal on Image and Video Processing
Online Access:http://jivp.eurasipjournals.com/content/2011/537372
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spelling doaj-07a9fd4c17544fe4be7f43f632ad083b2020-11-25T02:47:36ZengSpringerOpenEURASIP Journal on Image and Video Processing1687-51761687-52812011-01-0120111537372A Similarity-Based Approach for Audiovisual Document Classification Using Temporal Relation AnalysisFerrane IsabelleJoly PhilippeIbrahim ZeinAlAbidin<p>Abstract</p> <p>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.</p>http://jivp.eurasipjournals.com/content/2011/537372
collection DOAJ
language English
format Article
sources DOAJ
author Ferrane Isabelle
Joly Philippe
Ibrahim ZeinAlAbidin
spellingShingle Ferrane Isabelle
Joly Philippe
Ibrahim ZeinAlAbidin
A Similarity-Based Approach for Audiovisual Document Classification Using Temporal Relation Analysis
EURASIP Journal on Image and Video Processing
author_facet Ferrane Isabelle
Joly Philippe
Ibrahim ZeinAlAbidin
author_sort Ferrane Isabelle
title A Similarity-Based Approach for Audiovisual Document Classification Using Temporal Relation Analysis
title_short A Similarity-Based Approach for Audiovisual Document Classification Using Temporal Relation Analysis
title_full A Similarity-Based Approach for Audiovisual Document Classification Using Temporal Relation Analysis
title_fullStr A Similarity-Based Approach for Audiovisual Document Classification Using Temporal Relation Analysis
title_full_unstemmed A Similarity-Based Approach for Audiovisual Document Classification Using Temporal Relation Analysis
title_sort similarity-based approach for audiovisual document classification using temporal relation analysis
publisher SpringerOpen
series EURASIP Journal on Image and Video Processing
issn 1687-5176
1687-5281
publishDate 2011-01-01
description <p>Abstract</p> <p>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.</p>
url http://jivp.eurasipjournals.com/content/2011/537372
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AT jolyphilippe asimilaritybasedapproachforaudiovisualdocumentclassificationusingtemporalrelationanalysis
AT ibrahimzeinalabidin asimilaritybasedapproachforaudiovisualdocumentclassificationusingtemporalrelationanalysis
AT ferraneisabelle similaritybasedapproachforaudiovisualdocumentclassificationusingtemporalrelationanalysis
AT jolyphilippe similaritybasedapproachforaudiovisualdocumentclassificationusingtemporalrelationanalysis
AT ibrahimzeinalabidin similaritybasedapproachforaudiovisualdocumentclassificationusingtemporalrelationanalysis
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