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Description
  • The following problem is considered: Given a name or phrase specifying an object, collect images and videos from the internet possibly depicting the object using a textual query on their name or annotation. A visual model from the images is built and used to rank the videos by relevance to the object of interest. Shot relevance is defined as the duration of the visibility of the object of interest. The model is based on local image features. The relevant shot detection builds on wide baseline stereo matching. The method is tested on 10 text phrases corresponding to 10 landmarks. The pool of 100 videos collected querying You-Tube with includes seven relevant videos for each landmark. The implementation runs faster than real-time at 208 frames per second. Averaged over the set of landmarks, at recall 0.95 the method has mean precision of 0.65, and the mean Average Precision (mAP) of 0.92.
  • The following problem is considered: Given a name or phrase specifying an object, collect images and videos from the internet possibly depicting the object using a textual query on their name or annotation. A visual model from the images is built and used to rank the videos by relevance to the object of interest. Shot relevance is defined as the duration of the visibility of the object of interest. The model is based on local image features. The relevant shot detection builds on wide baseline stereo matching. The method is tested on 10 text phrases corresponding to 10 landmarks. The pool of 100 videos collected querying You-Tube with includes seven relevant videos for each landmark. The implementation runs faster than real-time at 208 frames per second. Averaged over the set of landmarks, at recall 0.95 the method has mean precision of 0.65, and the mean Average Precision (mAP) of 0.92. (en)
Title
  • Relevance Assessment for Visual Video Re-ranking
  • Relevance Assessment for Visual Video Re-ranking (en)
skos:prefLabel
  • Relevance Assessment for Visual Video Re-ranking
  • Relevance Assessment for Visual Video Re-ranking (en)
skos:notation
  • RIV/68407700:21230/14:00224656!RIV15-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP103/12/2310), 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
  • 42085
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/14:00224656
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • video retrieval; visual verification (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [69B1A16A0D68]
http://linked.open...v/mistoKonaniAkce
  • Vilamoura, Algarve
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • Image Analysis and Recognition: 11th International Conference (ICIAR 2014)
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
  • Matas, Jiří
  • Chum, Ondřej
  • Aldana Iuit, Javier Alejandro
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000345583300046
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-319-11758-4_46
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-319-11757-7
http://localhost/t...ganizacniJednotka
  • 21230
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