Christos Diou, Christos Papachristou, Panagiotis Panagiotopoulos, George Stephanopoulos, Nikos Dimitriou, Anastasios Delopoulos, H. Rode, Robin Aly, A.P. de Vries, Theodora Tsikrika

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In this paper, we present our experiments in TRECVID 2008 about High-Level feature extraction task. This is the first year for our participation in TRECVID, our system adopts some popular approaches that other workgroups proposed before. We proposed 2 advanced low-level features NEW Gabor texture descriptor and the Compact-SIFT Codeword histogram. Our system applied well-known LIBSVM to train the SVM classifier for the basic classifier. In fusion step, some methods were employed such as the Voting, SVM-base, HCRF and Bootstrap Average AdaBoost(BAAB).
Original languageEnglish
Title of host publicationTREC Video Retrieval Evaluation Online Proceedings
Place of PublicationGeithesburg, U.S.
Number of pages11
ISBN (Print)not assigned
Publication statusPublished - Mar 2009
EventTREC Video Retrieval Evaluation, TRECVID 2008 - Gaithersburg, United States
Duration: 17 Nov 200818 Nov 2008

Publication series

PublisherNational Institute of Standards and Technology, NIST


WorkshopTREC Video Retrieval Evaluation, TRECVID 2008
Abbreviated titleTRECVID
CountryUnited States


  • EWI-15229
  • IR-65432
  • METIS-263782

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    Diou, C., Papachristou, C., Panagiotopoulos, P., Stephanopoulos, G., Dimitriou, N., Delopoulos, A., ... Tsikrika, T. (2009). VITALAS at TRECVID-2008. In TREC Video Retrieval Evaluation Online Proceedings (pp. -). Geithesburg, U.S.: NIST.