Description of image content by means of graph grammars

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APU90557" target="_blank" >RIV/00216305:26230/10:PU90557 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Description of image content by means of graph grammars

Popis výsledku v původním jazyce

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>sequentialapplication 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 ver

Název v anglickém jazyce

Description of image content by means of graph grammars

Popis výsledku anglicky

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>sequentialapplication 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 ver

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/7E08063" target="_blank" >7E08063: Emerging, Collective Intelligence for personal, organisational and social use</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

POSTER Papers proceedings

ISBN

978-80-86943-86-2

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

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Název nakladatele

University of West Bohemia in Pilsen

Místo vydání

Plzeň

Místo konání akce

Plzeň

Datum konání akce

1. 2. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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