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Description
  • Unprecedented amounts of digital data are becoming available nowadays, but frequently the data lack some semantic information necessary to effectively organize these resources. For images in particular, textual annotations that represent the semantics are highly desirable. Only a small percentage of images is created with reliable annotations, therefore a lot of effort is being invested into automatic image annotation. In this paper, we address the annotation problem from a general perspective and introduce a new annotation model that is applicable to many text assignment problems. We also provide experimental results from several implemented instances of our model.
  • Unprecedented amounts of digital data are becoming available nowadays, but frequently the data lack some semantic information necessary to effectively organize these resources. For images in particular, textual annotations that represent the semantics are highly desirable. Only a small percentage of images is created with reliable annotations, therefore a lot of effort is being invested into automatic image annotation. In this paper, we address the annotation problem from a general perspective and introduce a new annotation model that is applicable to many text assignment problems. We also provide experimental results from several implemented instances of our model. (en)
Title
  • Content-based annotation and classification framework: a general multi-purpose approach
  • Content-based annotation and classification framework: a general multi-purpose approach (en)
skos:prefLabel
  • Content-based annotation and classification framework: a general multi-purpose approach
  • Content-based annotation and classification framework: a general multi-purpose approach (en)
skos:notation
  • RIV/00216224:14330/13:00065734!RIV14-MV0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GBP103/12/G084), P(VF20102014004)
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
  • 66867
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/13:00065734
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Automatic image annotation; classication; content-based search; hierarchical approach (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [A8FDE156228A]
http://linked.open...v/mistoKonaniAkce
  • Barcelona, Spain
http://linked.open...i/riv/mistoVydani
  • New York, NY, USA
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 17th International Database Engineering & Applications Symposium
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
  • Batko, Michal
  • Budíková, Petra
  • Zezula, Pavel
  • Botorek, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1145/2513591.2513651
http://purl.org/ne...btex#hasPublisher
  • ACM
https://schema.org/isbn
  • 9781450320252
http://localhost/t...ganizacniJednotka
  • 14330
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