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Description
  • High Level Feature Extraction
        1. The runs:
                - A_brU_1 - features extracted from each frame; SVM per-frame classifier trained on frames in each
                    shot; simple decision tree judging shots based on per-frame results
                - A_brV_2 - same as A_brU_1, but SVM trained on all training data (the first run divided the training
                    data to training and cross-validation datasets), with SVM configured from the previous run
        2. Significant differences between the runs:
                - As expected, the second run performed generally better, in some cases notably better (which is slightly
     &nbs
  • High Level Feature Extraction
        1. The runs:
                - A_brU_1 - features extracted from each frame; SVM per-frame classifier trained on frames in each
                    shot; simple decision tree judging shots based on per-frame results
                - A_brV_2 - same as A_brU_1, but SVM trained on all training data (the first run divided the training
                    data to training and cross-validation datasets), with SVM configured from the previous run
        2. Significant differences between the runs:
                - As expected, the second run performed generally better, in some cases notably better (which is slightly
     &nbs     (en)
Title
  • TRECVID 2007 by the Brno Group
  • TRECVID 2007 by the Brno Group (en)
skos:prefLabel
  • TRECVID 2007 by the Brno Group
  • TRECVID 2007 by the Brno Group (en)
skos:notation
  • RIV/00216305:26230/08:PU80204!RIV10-MSM-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/06/1821), P(LC06008), 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
  • 400583
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/08:PU80204
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • TRECVID 2007, Brno, High Level Feature Extraction, Shot Boundary Detection (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [5854EE706F0A]
http://linked.open...v/mistoKonaniAkce
  • NIST, Gaithersburg, Maryland
http://linked.open...i/riv/mistoVydani
  • Gaithersburg
http://linked.open...i/riv/nazevZdroje
  • Proceedings of TRECVID 2007
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
  • Zemčík, Pavel
  • Hradiš, Michal
  • Potúček, Igor
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
  • 978-1-59593-780-3
http://localhost/t...ganizacniJednotka
  • 26230
is http://linked.open...avai/riv/vysledek of
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