Smart VideoText: A video data model based on conceptual graphs

F. Kokkoras; H. Jiang; I. Vlahavas; A. K. Elmagarlnid; E. N. Houstis; W. G. Aref

doi:10.1007/s005300200054

Smart VideoText: A video data model based on conceptual graphs

F. Kokkoras^*, H. Jiang, I. Vlahavas, A. K. Elmagarlnid, E. N. Houstis, W. G. Aref

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

Abstract

An intelligent annotation-based video data model called Smart VideoText is introduced. It utilizes the conceptual graph knowledge representation formalism to capture the semantic associations among the concepts described in text annotations of video data. The aim is to achieve more effective query, retrieval, and browsing capabilities based on the semantic content of video data. Finally, a generic and modular video database architecture based on the Smart VideoText data model is described.

Original language	English
Pages (from-to)	328-338
Number of pages	11
Journal	Multimedia Systems
Volume	8
Issue number	4
DOIs	https://doi.org/10.1007/s005300200054
Publication status	Published - 2002
Externally published	Yes

Keywords

Conceptual graphs
Content-based video retrieval
Video databases

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10.1007/s005300200054

Cite this

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abstract = "An intelligent annotation-based video data model called Smart VideoText is introduced. It utilizes the conceptual graph knowledge representation formalism to capture the semantic associations among the concepts described in text annotations of video data. The aim is to achieve more effective query, retrieval, and browsing capabilities based on the semantic content of video data. Finally, a generic and modular video database architecture based on the Smart VideoText data model is described.",

keywords = "Conceptual graphs, Content-based video retrieval, Video databases",

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AU - Elmagarlnid, A. K.

AU - Houstis, E. N.

AU - Aref, W. G.

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AB - An intelligent annotation-based video data model called Smart VideoText is introduced. It utilizes the conceptual graph knowledge representation formalism to capture the semantic associations among the concepts described in text annotations of video data. The aim is to achieve more effective query, retrieval, and browsing capabilities based on the semantic content of video data. Finally, a generic and modular video database architecture based on the Smart VideoText data model is described.

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KW - Content-based video retrieval

KW - Video databases

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JO - Multimedia Systems

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Smart VideoText: A video data model based on conceptual graphs

Abstract

Keywords

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