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Description
  • This paper deals with Information Retrieval from audio-visual recordings. Such recordings are often quite long and users may want to find the exact starting points of relevant passages they search for. In Passage Retrieval, the recordings are automatically segmented into smaller parts, on which the standard retrieval techniques are applied. In this paper, we discuss various techniques for segmentation of audio-visual recordings and focus on machine learning approaches which decide on segment boundaries based on various features combined in a decision-tree model. Our experiments are carried out on the data used for the Search and Hyperlinking Task and Similar Segments in Social Speech Task of the MediaEval Benchmark 2013.
  • This paper deals with Information Retrieval from audio-visual recordings. Such recordings are often quite long and users may want to find the exact starting points of relevant passages they search for. In Passage Retrieval, the recordings are automatically segmented into smaller parts, on which the standard retrieval techniques are applied. In this paper, we discuss various techniques for segmentation of audio-visual recordings and focus on machine learning approaches which decide on segment boundaries based on various features combined in a decision-tree model. Our experiments are carried out on the data used for the Search and Hyperlinking Task and Similar Segments in Social Speech Task of the MediaEval Benchmark 2013. (en)
Title
  • Experiments with Segmentation Strategies for Passage Retrieval in Audio-Visual Documents
  • Experiments with Segmentation Strategies for Passage Retrieval in Audio-Visual Documents (en)
skos:prefLabel
  • Experiments with Segmentation Strategies for Passage Retrieval in Audio-Visual Documents
  • Experiments with Segmentation Strategies for Passage Retrieval in Audio-Visual Documents (en)
skos:notation
  • RIV/00216208:11320/14:10289371!RIV15-MK0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(DF12P01OVV022), P(GBP103/12/G084), S
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
  • 16033
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/14:10289371
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • documents; visual; audio; retrieval; passage; strategies; segmentation; with; experiments (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [313EBBA902B4]
http://linked.open...v/mistoKonaniAkce
  • Glasgow, UK
http://linked.open...i/riv/mistoVydani
  • New York, NY, USA
http://linked.open...i/riv/nazevZdroje
  • ICMR '14 Proceedings of International Conference on Multimedia Retrieval
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
  • Pecina, Pavel
  • Galuščáková, Petra
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1145/2578726.2578753
http://purl.org/ne...btex#hasPublisher
  • ACM
https://schema.org/isbn
  • 978-1-4503-2782-4
http://localhost/t...ganizacniJednotka
  • 11320
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