Flexible querying using structural and event based multimodal video data model

Hakan Öztarak, Adnan Yazici

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

4 Citations (Scopus)

Abstract

Investments on multimedia technology enable us to store many more reflections of the real world in digital world as videos so that we carry a lot of information to the digital world directly. In order to store and efficiently query this information, a video database system (VDBS) is necessary. We propose a structural, event based and multimodal (SEBM) video data model which supports three different modalities that are visual, auditory and textual modalities for VDBSs and we can dissolve these three modalities within a single SEBM model. We answer the content-based, spatio-temporal and fuzzy queries of the user by using SEBM video data model more easily, since SEBM stores the video data as the way that user interprets the real world data. We follow divide and conquer technique when answering very complicated queries. We give the algorithms for querying on SEBM and try them on an implemented SEBM prototype system.

Original languageEnglish
Title of host publicationFlexible Query Answering Systems - 7th International Conference, FQAS 2006, Proceedings
PublisherSpringer Verlag
Pages75-86
Number of pages12
ISBN (Print)3540346384, 9783540346388
DOIs
Publication statusPublished - 2006
Event7th International Conference on Flexible Query Answering Systems, FQAS 2006 - Milan, Italy
Duration: Jun 7 2006Jul 10 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4027 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Flexible Query Answering Systems, FQAS 2006
Country/TerritoryItaly
CityMilan
Period6/7/067/10/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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