In this work we propose an intuitive graphic framework for the effective visualization of MPEG-7 low-level features, in the context of classification and annotation of audio-visual documents. This graphic tool is proposed to facilitate the access to the content, and to improve a quick understanding of the semantics associated to the considered document. The main visualization paradigm employed consists in representing a 2D feature space in which the shots of the audiovisual document are located. In another window, the same shots are drawn in a temporal bar that gives the users also the information related to the time domain. In the main window, shots with similar content fall near each other, and the proposed tool offers various functionalities for automatically and semi-automatically finding and annotating shot clusters in the feature space. The use of the proposed system to analyze the content of few video sequences has shown very interesting capabilities.

An Intuitive Graphic Environment for navigation and Classification of Multimedia Documents

CAMPANELLA, Marco;LEONARDI, Riccardo;MIGLIORATI, Pierangelo
2005-01-01

Abstract

In this work we propose an intuitive graphic framework for the effective visualization of MPEG-7 low-level features, in the context of classification and annotation of audio-visual documents. This graphic tool is proposed to facilitate the access to the content, and to improve a quick understanding of the semantics associated to the considered document. The main visualization paradigm employed consists in representing a 2D feature space in which the shots of the audiovisual document are located. In another window, the same shots are drawn in a temporal bar that gives the users also the information related to the time domain. In the main window, shots with similar content fall near each other, and the proposed tool offers various functionalities for automatically and semi-automatically finding and annotating shot clusters in the feature space. The use of the proposed system to analyze the content of few video sequences has shown very interesting capabilities.
2005
Proceedings of the 2005 IEEE International Conference on Multimedia and Expo (ICME 2005)
UE
PE6_11 Machine learning, statistical data processing and applications using signal processing (eg. speech, image, video)
PE7_7 Signal processing
PE6_8 Computer graphics, computer vision, multi media, computer games
Esperti anonimi
Inglese
no
2005 IEEE International Conference on Multimedia and Expo (ICME 2005)
6-8 JULY 2005
AMSTERDAM, THE NEDERLANDS
Internazionale
STAMPA
UNICO
743
746
4
0780393325
ICME
Ateneo di appartenenza
no
reserved
Campanella, Marco; Leonardi, Riccardo; Migliorati, Pierangelo
273
info:eu-repo/semantics/conferenceObject
3
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/10238
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