Publication result detail

Description of image content by means of graph grammars

ZUZAŇÁK, J.; LÁNÍK, A.; ZEMČÍK, P.

Original Title

Description of image content by means of graph grammars

English Title

Description of image content by means of graph grammars

Type

Paper in proceedings outside WoS and Scopus

Original Abstract

This paper presents an idea for partial bottom-up parse of image content by use of an attributed graph grammar, in order to
achieve effective high-level representation of knowledge contained in image. Terminal nodes of the proposed grammar are
formed by image objects (points, lines, and objects detected by classifiers) and areas detected in image by various image
processing and segmentation methods. Based on attributes of terminal nodes, each production rule creates derived attributes
for high-level representation of lower-level knowledge. Graph that is parsed by graph grammar is constructed in process of
knowledge extraction by application of segmentation and image processing algorithms. Created graph is then processed by
sequential application of graph grammar rules. Left side of rules is detected by isomorphism detector, and consequent rewrite
is performed by rule with highest priority. A part of rewrite process is represented by processing of evaluations of vertices and
edges, that describe various properties of objects and their relationships. Further in the paper we present example of attributed
graph grammar application in order to describe image content.

English abstract

This paper presents an idea for partial bottom-up parse of image content by use of an attributed graph grammar, in order to
achieve effective high-level representation of knowledge contained in image. Terminal nodes of the proposed grammar are
formed by image objects (points, lines, and objects detected by classifiers) and areas detected in image by various image
processing and segmentation methods. Based on attributes of terminal nodes, each production rule creates derived attributes
for high-level representation of lower-level knowledge. Graph that is parsed by graph grammar is constructed in process of
knowledge extraction by application of segmentation and image processing algorithms. Created graph is then processed by
sequential application of graph grammar rules. Left side of rules is detected by isomorphism detector, and consequent rewrite
is performed by rule with highest priority. A part of rewrite process is represented by processing of evaluations of vertices and
edges, that describe various properties of objects and their relationships. Further in the paper we present example of attributed
graph grammar application in order to describe image content.

Keywords

Graph grammar, Rewriting system, Bottom-up graph analysis, Knowledge representation

Key words in English

Graph grammar, Rewriting system, Bottom-up graph analysis, Knowledge representation

Authors

ZUZAŇÁK, J.; LÁNÍK, A.; ZEMČÍK, P.

RIV year

2011

Released

01.02.2010

Publisher

University of West Bohemia in Pilsen

Location

Plzeň

ISBN

978-80-86943-86-2

Book

POSTER Papers proceedings

Pages from

43

Pages to

47

Pages count

4

URL

http://wscg.zcu.cz/wscg2010/Papers_2010/!_2010_Poster-proceedings.pdf

BibTex

@inproceedings{BUT35212,
  author="Jiří {Zuzaňák} and Aleš {Láník} and Pavel {Zemčík}",
  title="Description of image content by means of graph grammars",
  booktitle="POSTER Papers proceedings",
  year="2010",
  pages="43--47",
  publisher="University of West Bohemia in Pilsen",
  address="Plzeň",
  isbn="978-80-86943-86-2",
  url="http://wscg.zcu.cz/wscg2010/Papers_2010/!_2010_Poster-proceedings.pdf"
}