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Browsing and exploration of video sequences: a new scheme for key frame extraction and 3D visualization using entropy based Jensen divergence

This paper proposes a unified scheme for video browsing and exploration. Our scheme involves two components, video key frame extraction and 3D visualization. For key frame extraction, we develop a generic approach in which the Jensen-Shannon divergence (JSD), Jensen-Rényi divergence (JRD) and Jensen-Tsallis divergence (JTD) are investigated for measuring the difference between neighboring video frames, segmenting a video clip into shots then possibly into sub-shots, and choosing key frames in each shot. Our novel approach is computationally inexpensive and yet effective, as shown by experimental results. As for 3D visualization, an innovative prototype, in which key frames, their related information and video contexts are displayed, is created for video exploration. Our visualization tool also contributes to easily locating, highlighting and removing the possible redundant key frames. The key frames selected by our proposed approach and their corresponding visualization interface are combined to lead to a fast grasp of video contents

This work has been funded by Natural Science Foundation of China (61179067, 60879003, 61103005), and Spanish (TIN2010-21089-C03-01) and Catalan Governments (2009-SGR-643 and 2010-CONE2-00053)

info:eu-repo/grantAgreement/MICINN//TIN2010-21089-C03-01/ES/CONTENIDO DIGITAL PARA JUEGOS SERIOS: CREACION, GESTION, RENDERIZADO E INTERACCION/

Elsevier

Manager: Ministerio de Ciencia e Innovación (Espanya)
Generalitat de Catalunya. Agència de Gestió d’Ajuts Universitaris i de Recerca
Author: Xu, Qing
Liu, Yu
Li, Xiu
Yang, Zhen
Wang, Jie
Sbert, Mateu
Scopigno, Riccardo
Date: 2014
Abstract: This paper proposes a unified scheme for video browsing and exploration. Our scheme involves two components, video key frame extraction and 3D visualization. For key frame extraction, we develop a generic approach in which the Jensen-Shannon divergence (JSD), Jensen-Rényi divergence (JRD) and Jensen-Tsallis divergence (JTD) are investigated for measuring the difference between neighboring video frames, segmenting a video clip into shots then possibly into sub-shots, and choosing key frames in each shot. Our novel approach is computationally inexpensive and yet effective, as shown by experimental results. As for 3D visualization, an innovative prototype, in which key frames, their related information and video contexts are displayed, is created for video exploration. Our visualization tool also contributes to easily locating, highlighting and removing the possible redundant key frames. The key frames selected by our proposed approach and their corresponding visualization interface are combined to lead to a fast grasp of video contents
This work has been funded by Natural Science Foundation of China (61179067, 60879003, 61103005), and Spanish (TIN2010-21089-C03-01) and Catalan Governments (2009-SGR-643 and 2010-CONE2-00053)
Format: application/pdf
Document access: http://hdl.handle.net/10256/11658
Language: eng
Publisher: Elsevier
Collection: info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ins.2014.03.088
info:eu-repo/semantics/altIdentifier/issn/0020-0255
AGAUR/2009-2014/2009 SGR-643
AGAUR/2011-2013/2010 CONE2 00053
Is part of: info:eu-repo/grantAgreement/MICINN//TIN2010-21089-C03-01/ES/CONTENIDO DIGITAL PARA JUEGOS SERIOS: CREACION, GESTION, RENDERIZADO E INTERACCION/
Rights: Tots els drets reservats
Subject: Video key frame extraction
Three-dimensional display systems)
Vídeo digital
Digital video
Registre d’imatges
Image registration
Imatges -- Processament -- Tècniques digitals
Image processing -- Digital techniques
Title: Browsing and exploration of video sequences: a new scheme for key frame extraction and 3D visualization using entropy based Jensen divergence
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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