A model-based approach to semantic-based retrieval of visual information

Forouzan Golshani, Youngchoon Park, Sethuraman Panchanathan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Visual context descriptor (VCD) is a new image representation scheme for visual content classification. It consists of a multidimensional vector in which each element represents the frequency of a unique visual property of an image or a region thereof. VCD utilizes the predetermined quality dimensions, such as types of features and quantization level, along with predetermined semantic model templates. The observed visual cues and the contextually relevant visual features are proportionally incorporated in VCD. Contextual relevance of a visual cue to a semantic class is determined by using correlation analysis of ground truth samples. Such co-occurrence analysis of visual cues requires transformation of a real-valued visual feature vector, say a color histogram or a Gabor texture, into a discrete event, e. g., terms in the text domain.

Original languageEnglish (US)
Title of host publicationSOFSEM 2002
Subtitle of host publicationTheory and Practice of Informatics - 29th Conference on Current Trends in Theory and Practice of Informatics, Proceedings
PublisherSpringer Verlag
Pages149-167
Number of pages19
ISBN (Print)354000145X, 9783540001454
DOIs
StatePublished - Jan 1 2002
Event29th Conference on Current Trends in Theory and Practice of Informatics, SOFSEM 2002 - Milovy, Czech Republic
Duration: Nov 22 2002Nov 29 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2540 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other29th Conference on Current Trends in Theory and Practice of Informatics, SOFSEM 2002
CountryCzech Republic
CityMilovy
Period11/22/0211/29/02

Keywords

  • Contextual image matching
  • Ontology-based image retrieval
  • Semantic image classification
  • Visual cue co-occurrence

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Golshani, F., Park, Y., & Panchanathan, S. (2002). A model-based approach to semantic-based retrieval of visual information. In SOFSEM 2002: Theory and Practice of Informatics - 29th Conference on Current Trends in Theory and Practice of Informatics, Proceedings (pp. 149-167). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2540 LNCS). Springer Verlag. https://doi.org/10.1007/3-540-36137-5_9