TY - JOUR
T1 - An intelligent fuzzy object-oriented database framework for video database applications
AU - Ozgur, Nezihe Burcu
AU - Koyuncu, Murat
AU - Yazici, Adnan
N1 - Funding Information:
This work is supported in part by Scientific and Technological Research Council of Turkey (TUBITAK) with the research Grant no. EEEAG 106E012. ∗Corresponding author. E-mail addresses: burcu.ozgur@ceng.metu.edu.tr (N.B. Ozgur), mkoyuncu@atilim.edu.tr (M. Koyuncu), yazici@ceng.metu.edu.tr (A. Yazici).
PY - 2009/8/1
Y1 - 2009/8/1
N2 - Video database applications call for flexible and powerful modeling and querying facilities, which require an integration or interaction between database and knowledge-based technologies. It is also necessary for many real life video database applications to incorporate uncertainty, which naturally occurs due to the complex and subjective semantic content of video data. In this study, firstly, we introduce a fuzzy conceptual data model to represent the semantic content of video data. For that purpose, UML (unified modeling language) is utilized and extended to represent uncertain information along with video specific properties. Secondly, we present an intelligent fuzzy object-oriented database framework for video database applications. The introduced fuzzy conceptual model is used in this framework, which provides modeling of complex and rich semantic content and knowledge of video data including uncertainty. Moreover, it supports various flexible queries including (fuzzy) semantic, temporal and (fuzzy) spatial queries, based on the video data model. We think that the presented conceptual data model and the framework can be used for any video database application.
AB - Video database applications call for flexible and powerful modeling and querying facilities, which require an integration or interaction between database and knowledge-based technologies. It is also necessary for many real life video database applications to incorporate uncertainty, which naturally occurs due to the complex and subjective semantic content of video data. In this study, firstly, we introduce a fuzzy conceptual data model to represent the semantic content of video data. For that purpose, UML (unified modeling language) is utilized and extended to represent uncertain information along with video specific properties. Secondly, we present an intelligent fuzzy object-oriented database framework for video database applications. The introduced fuzzy conceptual model is used in this framework, which provides modeling of complex and rich semantic content and knowledge of video data including uncertainty. Moreover, it supports various flexible queries including (fuzzy) semantic, temporal and (fuzzy) spatial queries, based on the video data model. We think that the presented conceptual data model and the framework can be used for any video database application.
KW - Conceptual data model
KW - Fuzziness
KW - Intelligent systems
KW - Knowledge-based systems
KW - Object-oriented databases
KW - Object-oriented modeling
KW - UML
KW - Uncertainty
KW - Video data
KW - Video database applications
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U2 - 10.1016/j.fss.2009.02.017
DO - 10.1016/j.fss.2009.02.017
M3 - Article
AN - SCOPUS:67349135280
VL - 160
SP - 2253
EP - 2274
JO - Fuzzy Sets and Systems
JF - Fuzzy Sets and Systems
SN - 0165-0114
IS - 15
ER -