Flexible Content Extraction and Querying for Videos
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Date
2011
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Green Open Access
Yes
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2
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No
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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. © 2011 Springer-Verlag.
Description
Ghent University, Faculty of Engineering; Research Foundation - Flanders; InterSystems Benelux
Keywords
content-based retrieval, fuzziness, Multimedia database, multimedia querying
Turkish CoHE Thesis Center URL
Fields of Science
Citation
WoS Q
Scopus Q
Q3
OpenCitations Citation Count
3
Source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -- 9th International Conference on Flexible Query Answering Systems, FQAS 2011 -- 26 October 2011 through 28 October 2011 -- Ghent -- 87372
Volume
7022 LNAI
Issue
Start Page
460
End Page
471
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Scopus : 3
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3
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5
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