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Hybrid query for video database system

Many video retrieval systems support text and low-level feature-based querying, however only single homogeneous queries are allowed. In this paper we present a Video Database System (VDBS) based on our video data model that captures the hierarchical structure and contents of video to support hybrid...

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Main Authors: Affendey, Lilly Suriani, Mamat, Ali, Ibrahim, Hamidah, Ahmad, Fatimah
Format: Conference or Workshop Item
Language:English
Published: Universiti Utara Malaysia 2008
Online Access:http://psasir.upm.edu.my/id/eprint/59737/1/327-332-CR150.pdf
http://psasir.upm.edu.my/id/eprint/59737/
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spelling my.upm.eprints.597372018-03-21T06:19:40Z http://psasir.upm.edu.my/id/eprint/59737/ Hybrid query for video database system Affendey, Lilly Suriani Mamat, Ali Ibrahim, Hamidah Ahmad, Fatimah Many video retrieval systems support text and low-level feature-based querying, however only single homogeneous queries are allowed. In this paper we present a Video Database System (VDBS) based on our video data model that captures the hierarchical structure and contents of video to support hybrid query. The system supports query using similarity-based matching of low-level visual features as well as exact matching of textual attributes. The experiment shows that hybrid query gives more accurate results when compared to single query using text or image alone by eliminate results that are similar in colour but has different semantic, or vice versa. Universiti Utara Malaysia 2008 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/59737/1/327-332-CR150.pdf Affendey, Lilly Suriani and Mamat, Ali and Ibrahim, Hamidah and Ahmad, Fatimah (2008) Hybrid query for video database system. In: Knowledge Management International Conference 2008 (KMICe 2008), 10-12 June 2008, Langkawi, Kedah. (pp. 327-332).
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Many video retrieval systems support text and low-level feature-based querying, however only single homogeneous queries are allowed. In this paper we present a Video Database System (VDBS) based on our video data model that captures the hierarchical structure and contents of video to support hybrid query. The system supports query using similarity-based matching of low-level visual features as well as exact matching of textual attributes. The experiment shows that hybrid query gives more accurate results when compared to single query using text or image alone by eliminate results that are similar in colour but has different semantic, or vice versa.
format Conference or Workshop Item
author Affendey, Lilly Suriani
Mamat, Ali
Ibrahim, Hamidah
Ahmad, Fatimah
spellingShingle Affendey, Lilly Suriani
Mamat, Ali
Ibrahim, Hamidah
Ahmad, Fatimah
Hybrid query for video database system
author_facet Affendey, Lilly Suriani
Mamat, Ali
Ibrahim, Hamidah
Ahmad, Fatimah
author_sort Affendey, Lilly Suriani
title Hybrid query for video database system
title_short Hybrid query for video database system
title_full Hybrid query for video database system
title_fullStr Hybrid query for video database system
title_full_unstemmed Hybrid query for video database system
title_sort hybrid query for video database system
publisher Universiti Utara Malaysia
publishDate 2008
url http://psasir.upm.edu.my/id/eprint/59737/1/327-332-CR150.pdf
http://psasir.upm.edu.my/id/eprint/59737/
_version_ 1643837159586660352
score 13.159267

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