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Description
  • In this paper we describe our experiments in all task of TRECVid 2008. This year, we have concentrated mainly on the local (affine covariant) image features and its transformation into a search-able form for the Content-based copy detection pilot together with the indexing and search techniques for the Search task and a practical test of the background subtraction and trajectory generation algorithms for the Surveillance pilot. In brief, we have submitted the following tasks: 1. Surveillance event detection pilot. We have participated in the detection of the following events - PersonRuns, ObjectPut, ElevatorNoEntry and OpposingFlow. It has been based mainly on advanced masking and background subtractions and extracted trajectories. 2. Content-based copy detection pilot. We have submitted one run based on search of the joint image features - global (color, texture) and local features (SIFT). 3. High-level feature extraction. We have used two training methods based
  • In this paper we describe our experiments in all task of TRECVid 2008. This year, we have concentrated mainly on the local (affine covariant) image features and its transformation into a search-able form for the Content-based copy detection pilot together with the indexing and search techniques for the Search task and a practical test of the background subtraction and trajectory generation algorithms for the Surveillance pilot. In brief, we have submitted the following tasks: 1. Surveillance event detection pilot. We have participated in the detection of the following events - PersonRuns, ObjectPut, ElevatorNoEntry and OpposingFlow. It has been based mainly on advanced masking and background subtractions and extracted trajectories. 2. Content-based copy detection pilot. We have submitted one run based on search of the joint image features - global (color, texture) and local features (SIFT). 3. High-level feature extraction. We have used two training methods based (en)
  • In this paper we describe our experiments in all task of TRECVid 2008. This year, we have concentrated mainly on the local (affine covariant) image features and its transformation into a search-able form for the Content-based copy detection pilot together with the indexing and search techniques for the Search task and a practical test of the background subtraction and trajectory generation algorithms for the Surveillance pilot. In brief, we have submitted the following tasks: 1. Surveillance event detection pilot. We have participated in the detection of the following events - PersonRuns, ObjectPut, ElevatorNoEntry and OpposingFlow. It has been based mainly on advanced masking and background subtractions and extracted trajectories. 2. Content-based copy detection pilot. We have submitted one run based on search of the joint image features - global (color, texture) and local features (SIFT). 3. High-level feature extraction. We have used two training methods based (cs)
Title
  • Brno University of Technology at TRECVid 2008
  • Brno University of Technology at TRECVid 2008 (en)
  • Brno University of Technology at TRECVid 2008 (cs)
skos:prefLabel
  • Brno University of Technology at TRECVid 2008
  • Brno University of Technology at TRECVid 2008 (en)
  • Brno University of Technology at TRECVid 2008 (cs)
skos:notation
  • RIV/00216305:26230/08:PU81317!RIV09-GA0-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/06/1821), Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 358515
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/08:PU81317
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • TRECVid 2008, Brno, Surveillance event detection pilot, Content-based copy detection pilot, High-level feature extraction, Video Search. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [655F18531D46]
http://linked.open...v/mistoKonaniAkce
  • NIST, Gaithersburg, MD
http://linked.open...i/riv/mistoVydani
  • Gaithersburg
http://linked.open...i/riv/nazevZdroje
  • Proceedings of TRECVID 2008
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Beran, Vítězslav
  • Chmelař, Petr
  • Herout, Adam
  • Juránek, Roman
  • Navrátil, Jan
  • Zemčík, Pavel
  • Žák, Pavel
  • Mlích, Jozef
  • Řezníček, Ivo
  • Hradiš, Michal
  • Láník, Aleš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • National Institute of Standards and Technology
https://schema.org/isbn
  • 978-1-60558-303-7
http://localhost/t...ganizacniJednotka
  • 26230
is http://linked.open...avai/riv/vysledek of
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