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Video Clip Matching Using MPEG-7 Descriptors and Edit Distance

  • Marco Bertini
  • Alberto Del Bimbo
  • Walter Nunziati
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4071)

Abstract

Video databases require that clips are represented in a compact and discriminative way, in order to perform efficient matching and retrieval of documents of interest. We present a method to obtain a video representation suitable for this task, and show how to use this representation in a matching scheme. In contrast with existing works, the proposed approach is entirely based on features and descriptors taken from the well established MPEG-7 standard. Different clips are compared using an edit distance, in order to obtain high similarity between videos that differ for some subsequences, but are essentially related to the same content. Experimental validation is performed using a prototype application that retrieves TV commercials recorded from different TV sources in real time. Results show excellent performances both in terms of accuracy, and in terms of computational performances.

Keywords

Edit Distance News Video Video Database Prototype Application Edge Histogram Descriptor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Marco Bertini
    • 1
  • Alberto Del Bimbo
    • 1
  • Walter Nunziati
    • 1
  1. 1.Dipartimento di Sistemi e InformaticaUniversità degli Studi di Firenze 

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