Rule-based spatiotemporal query processing for video databases

Dönderler, Mehmet Emin; Ulusoy, Özgür; Güdükbay, Uğur

doi:10.1007/s00778-003-0114-0

Cited by 22 publications

(30 citation statements)

References 35 publications

(73 reference statements)

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“…There are research efforts on utilizing knowledge-base systems or rule-based approach for video databases [32,33,34,35,48,49]. Among these, in [48] the authors introduce a declarative, rule-based constraint query language to infer new relationships from the existing semantic information.…”

Section: Rule-based Approach In Video Databasesmentioning

confidence: 99%

“…Video databases are among those applications, which require powerful and flexible modeling and querying facilities. There are research efforts on utilizing knowledge-base systems or rule-based approach for video databases [32,33,34,35,48,49]. Among these, [33] defines spatial inference rules which allow to deduce heterogeneous spatial relations by using existing ones.…”

Section: Introductionmentioning

confidence: 99%

“…In [32], an SQL-like video query language, which has the capability to handle spatio-temporal queries, is proposed. The language is rule-based since it allows users to express spatial conditions in terms of Prolog-type predicates.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An intelligent fuzzy object-oriented database framework for video database applications

Ozgur

Koyuncu

Yazıcı

2009

Fuzzy Sets and Systems

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Video database applications call for flexible and powerful modeling and querying facilities, which require an integration or interaction between database and knowledge base 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 thesis study, firstly, a fuzzy conceptual data model is introduced to represent the semantic content of video data. UML (Unified Modeling Language) is utilized and extended to represent uncertain information along with video specific properties at the conceptual level. Secondly, an intelligent fuzzy object-oriented database framework is presented for video database applications. The introduced fuzzy conceptual model is mapped to the presented framework, which is an adaptation of the previously proposed IFOOD architecture. The framework provides modeling and querying of complex and rich semantic content and knowledge of video data including uncertainty.Moreover, it allows (fuzzy) semantic, temporal, (fuzzy) spatial, hierarchical, regional and trajectory queries, based on the video data model. We think that the presented conceptual data model and framework can be adapted to any application domain related to video databases. Keywords

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Section: Rule-based Approach In Video Databasesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An intelligent fuzzy object-oriented database framework for video database applications

Ozgur

Koyuncu

Yazıcı

2009

Fuzzy Sets and Systems

View full text Add to dashboard Cite

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“…This keyframe-based processing provides an easier way for detecting conceptual abnormalities. This type of annotation and meta-data usage reduces the search space and enables efficient querying when the video archives are large (Dönderler et al, 2004).…”

Section: Annotation Of Eventsmentioning

confidence: 99%

“…Rule-based modeling is effective for querying video databases (Dönderler et al, 2004). Hence, a rule-based model has been designed for querying video surveillance archives.…”

Section: E S -Aykol Et Al / Engineering Applications Of Artificial mentioning

confidence: 99%

Scenario-based query processing for video-surveillance archives

Şaykol

Güdükbay

Ulusoy

2010

Engineering Applications of Artificial Intelligence

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Scenario-based querying and retrieval Visual query specification Event-based querying After-the-fact analysis a b s t r a c t Automated video surveillance has emerged as a trendy application domain in recent years, and accessing the semantic content of surveillance video has become a challenging research area. The results of a considerable amount of research dealing with automated access to video surveillance have appeared in the literature; however, significant semantic gaps in event models and content-based access to surveillance video remain. In this paper, we propose a scenario-based query-processing system for video surveillance archives. In our system, a scenario is specified as a sequence of event predicates that can be enriched with object-based low-level features and directional predicates. We introduce an inverted tracking scheme, which effectively tracks the moving objects and enables view-based addressing of the scene. Our query-processing system also supports inverse querying and view-based querying, for after-the-fact activity analysis. We propose a specific surveillance query language to express the supported query types in a scenario-based manner. We also present a visual queryspecification interface devised to facilitate the query-specification process. We have conducted performance experiments to show that our query-processing technique has a high expressive power and satisfactory retrieval accuracy in video surveillance.

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A generation of synthesized trajectories of free moving objects for testing a set of continuous spatio‐temporal queries

Lee

Hong

Kim

2022

Concurrency and Computation

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Summary Testing vessel surveillance monitoring queries requires synthesized trajectory generation data of free‐moving objects. This article presents a method for generating trajectories of free moving objects with approach, u‐turn, detour, and hover patterns to verify a set of continuous queries expressed in spatiotemporal conditions. We present an algorithm that generates simplified paths, moving patterns, and inertia‐based trajectories to make various types of trajectory patterns for a given spatiotemporal query. The experimental results show that the generated synthesized trajectory dataset can validate given spatiotemporal queries with different velocities, trajectory patterns, and travel paths.

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Rule-based spatiotemporal query processing for video databases

Cited by 22 publications

References 35 publications

An intelligent fuzzy object-oriented database framework for video database applications

An intelligent fuzzy object-oriented database framework for video database applications

Scenario-based query processing for video-surveillance archives

A generation of synthesized trajectories of free moving objects for testing a set of continuous spatio‐temporal queries

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