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

Author:

DE SANTO MASSIMO1,PERCANNELLA GENNARO1,SANSONE CARLO2,VENTO MARIO1

Affiliation:

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

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

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.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A FEATURE-BASED SCHEME FOR DETECTING AND CLASSIFYING VIDEO-SHOT TRANSITIONS BASED ON SPATIO-TEMPORAL ANALYSIS AND FUZZY CLASSIFICATION;International Journal of Pattern Recognition and Artificial Intelligence;2009-09

2. Combining experts for anchorperson shot detection in news videos;Pattern Analysis and Applications;2004-10-12

3. A Multi-expert Approach for Shot Classification in News Videos;Lecture Notes in Computer Science;2004

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