SPECIAL ISSUE: Fusion of Multiple Classifiers; Edited by F. Roli and J. KittlerNo Access

A MULTI-EXPERT SYSTEM FOR SHOT CHANGE DETECTION IN MPEG MOVIES

Dipartimento di Ingegneria dell'Informazione e di Ingegneria Elettrica, Universitá di Salerno, Via P.te Don Melillo, 1, I-84084, Fisciano (SA), Italy

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GENNARO PERCANNELLA

Dipartimento di Ingegneria dell'Informazione e di Ingegneria Elettrica, Universitá di Salerno, Via P.te Don Melillo, 1, I-84084, Fisciano (SA), Italy

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CARLO SANSONE

Dipartimento di Informatica e Sistemistica, Universitá di Napoli "Federico II", Via Claudio, 21 I-80125 Napoli, Italy

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, and

MARIO VENTO

Dipartimento di Ingegneria dell'Informazione e di Ingegneria Elettrica, Universitá di Salerno, Via P.te Don Melillo, 1, I-84084, Fisciano (SA), Italy

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https://doi.org/10.1142/S0218001404003484Cited by:3 (Source: Crossref)

Abstract

Shot Change Detection (SCD) in MPEG coded videos is a complex and still open research problem whose interest is growing up more and more due to the diffusion of Video Databases and Digital Libraries. Techniques providing fully satisfactory performances on complex video domains are not yet available even if a number of proposals exist; such proposals show very often to be complementary in their results. In this context, the Authors investigated the use of Multi-Expert Systems (MES) for approaching the SCD problem. In the present paper, we propose and discuss a strategy to select the SCD techniques to be combined and a method for choosing an effective combining rule. In order to assess the performance of the proposed MES, we set up a database that is significantly wider than the ones commonly used in the field. Experimental results demonstrate that the proposed system performs better than each of the single SCD technique considered.

Keywords:

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