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  • This paper presents an idea for partial bottom-up parse of image content by use of an attributed graph grammar, in order to<br>achieve effective high-level representation of knowledge contained in image. Terminal nodes of the proposed grammar are<br>formed by image objects (points, lines, and objects detected by classifiers) and areas detected in image by various image<br>processing and segmentation methods. Based on attributes of terminal nodes, each production rule creates derived attributes<br>for high-level representation of lower-level knowledge. Graph that is parsed by graph grammar is constructed in process of<br>knowledge extraction by application of segmentation and image processing algorithms. Created graph is then processed by<br>sequential application of graph grammar rules. Left side of rules is detected by isomorphism detector, and consequent rewrite<br>is performed by rule with highest priority. A part of rewrite process is represented by processing of evaluations of vertices and<br>edg
  • This paper presents an idea for partial bottom-up parse of image content by use of an attributed graph grammar, in order to<br>achieve effective high-level representation of knowledge contained in image. Terminal nodes of the proposed grammar are<br>formed by image objects (points, lines, and objects detected by classifiers) and areas detected in image by various image<br>processing and segmentation methods. Based on attributes of terminal nodes, each production rule creates derived attributes<br>for high-level representation of lower-level knowledge. Graph that is parsed by graph grammar is constructed in process of<br>knowledge extraction by application of segmentation and image processing algorithms. Created graph is then processed by<br>sequential application of graph grammar rules. Left side of rules is detected by isomorphism detector, and consequent rewrite<br>is performed by rule with highest priority. A part of rewrite process is represented by processing of evaluations of vertices and<br>edg (en)
Title
  • Description of image content by means of graph grammars
  • Description of image content by means of graph grammars (en)
skos:prefLabel
  • Description of image content by means of graph grammars
  • Description of image content by means of graph grammars (en)
skos:notation
  • RIV/00216305:26230/10:PU90557!RIV11-MSM-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7E08063), 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
  • 253452
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/10:PU90557
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Graph grammar, Rewriting system, Bottom-up graph analysis, Knowledge representation<br><br> (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [9FE7259938AB]
http://linked.open...v/mistoKonaniAkce
  • Plzeň
http://linked.open...i/riv/mistoVydani
  • Plzeň
http://linked.open...i/riv/nazevZdroje
  • POSTER Papers proceedings
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
  • Zemčík, Pavel
  • Láník, Aleš
  • Zuzaňák, Jiří
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
  • Západočeská univerzita v Plzni
https://schema.org/isbn
  • 978-80-86943-86-2
http://localhost/t...ganizacniJednotka
  • 26230
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