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  • This paper presents an approach for detection of differences between two visually identical video sequences. The video processing task for detection of short- and long-term changes between two video sequences is defined in detail. The algorithm comparing two video sequences (reference and query) is introduced together with definition of particular situations that the algorithm must be able to detect: re-written parts, removals or injected parts. The image processing methods are selected to be robust to several practical distortions that might appear in defined task. The appropriate computer-vision methods are presented and discussed, then proposed method and experiments are introduced and evaluated on manually generated dataset. Main focus of this work is on comparison of two different approaches for keyframe extraction: The first, more robust one is based on local features tracking, which we attempt to replace with computationally much less-expensive global descriptor approach with preser
  • This paper presents an approach for detection of differences between two visually identical video sequences. The video processing task for detection of short- and long-term changes between two video sequences is defined in detail. The algorithm comparing two video sequences (reference and query) is introduced together with definition of particular situations that the algorithm must be able to detect: re-written parts, removals or injected parts. The image processing methods are selected to be robust to several practical distortions that might appear in defined task. The appropriate computer-vision methods are presented and discussed, then proposed method and experiments are introduced and evaluated on manually generated dataset. Main focus of this work is on comparison of two different approaches for keyframe extraction: The first, more robust one is based on local features tracking, which we attempt to replace with computationally much less-expensive global descriptor approach with preser (en)
Title
  • Dissimilarity Detection of Two Video Sequences
  • Dissimilarity Detection of Two Video Sequences (en)
skos:prefLabel
  • Dissimilarity Detection of Two Video Sequences
  • Dissimilarity Detection of Two Video Sequences (en)
skos:notation
  • RIV/00216305:26230/13:PU106367!RIV14-MV0-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7H12006), P(VG20102015006)
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
  • 69927
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/13:PU106367
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Video comparison, Dissimilarity, Histogram, Motion segmentation, Similarity matrix, Temporal analysis, Keyframe detection, Video segmentation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [EE8B41361E34]
http://linked.open...v/mistoKonaniAkce
  • Smolenice
http://linked.open...i/riv/mistoVydani
  • Smolenice
http://linked.open...i/riv/nazevZdroje
  • Proceedings of SCCG 2013
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
  • Zemčík, Pavel
  • Klicnar, Lukáš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Univerzita Komenského v Bratislave
https://schema.org/isbn
  • 978-80-223-3377-1
http://localhost/t...ganizacniJednotka
  • 26230
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