Retrieval of Multiple Instances of Objects in Videos

  • Andrei Bursuc
  • Titus Zaharia
  • Françoise Prêteux
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7131)

Abstract

This paper tackles the issue of retrieving different instances of an object of interest within a given video document or in a video database. The principle consists in considering a semi-global image representation based on an over-segmentation of image frames. An aggregation mechanism is then applied in order to group a set of sub-regions into an object similar to the query, under a global similarity criterion. Two different strategies are proposed. The first one involves a greedy, dynamic region construction method. The second is based on simulated annealing, and aims at determining a global optimum. Experimental results show promising performances, with object detection rates of up to 79%.

Keywords

object-based indexing and retrieval multiple instance detection partial matching MPEG-7 visual descriptors video indexing 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Andrei Bursuc
    • 1
    • 2
  • Titus Zaharia
    • 1
  • Françoise Prêteux
    • 3
  1. 1.ARTEMIS Department, UMR CNRS 8145 MAP5Institut Télécom, Télécom SudParisEvry CedexFrance
  2. 2.Alcatel-Lucent Bell Labs FranceNozayFrance
  3. 3.Mines ParisTechParis CedexFrance

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