STRG-QL: spatio-temporal region graph query language for video databases

Jeongkyu Lee; M. Emre Celebi

doi:10.1117/12.765531

28 January 2008 STRG-QL: spatio-temporal region graph query language for video databases

Jeongkyu Lee, M. Emre Celebi

Proceedings Volume 6820, Multimedia Content Access: Algorithms and Systems II; 68200P (2008) https://doi.org/10.1117/12.765531
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

In this paper, we present a new graph-based query language and its query processing for a Graph-based Video Database Management System (GVDBMS). Although extensive researches have proposed various query languages for video databases, most of them have the limitation in handling general-purpose video queries. Each method can handle specific data model, query type or application. In order to develop a general-purpose video query language, we first produce Spatio-Temporal Region Graph (STRG) for each video, which represents spatial and temporal information of video objects. An STRG data model is generated from the STRG by exploiting object-oriented model. Based on the STRG data model, we propose a new graph-based query language named STRG-QL, which supports various types of video query. To process the proposed STRG-QL, we introduce a rule-based query optimization that considers the characteristics of video data, i.e., the hierarchical correlations among video segments. The results of our extensive experimental study show that the proposed STRG-QL is promising in terms of accuracy and cost.

Citation Download Citation

Jeongkyu Lee and M. Emre Celebi "STRG-QL: spatio-temporal region graph query language for video databases", Proc. SPIE 6820, Multimedia Content Access: Algorithms and Systems II, 68200P (28 January 2008); https://doi.org/10.1117/12.765531

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KEYWORDS

Video

Data modeling

Video surveillance

Video processing

Databases

Image segmentation

Feature extraction

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