Flexible content extraction and querying for videos

Utku Demir, Murat Koyuncu, Adnan Yazici, Turgay Yilmaz, Mustafa Sert

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this study, a multimedia database system which includes a semantic content extractor, a high-dimensional index structure and an intelligent fuzzy object-oriented database component is proposed. The proposed system is realized by following a component-oriented approach. It supports different flexible query capabilities for the requirements of video users, which is the main focus of this paper. The query performance of the system (including automatic semantic content extraction) is tested and analyzed in terms of speed and accuracy.

Original languageEnglish
Title of host publicationFlexible Query Answering Systems - 9th International Conference, FQAS 2011, Proceedings
Pages460-471
Number of pages12
DOIs
StatePublished - 2011
Externally publishedYes
Event9th International Conference on Flexible Query Answering Systems, FQAS 2011 - Ghent, Belgium
Duration: Oct 26 2011Oct 28 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7022 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Flexible Query Answering Systems, FQAS 2011
Country/TerritoryBelgium
CityGhent
Period10/26/1110/28/11

Keywords

  • content-based retrieval
  • fuzziness
  • Multimedia database
  • multimedia querying

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