In this thesis, a system, called Ontology-Based Spatio-Temporal Video Management System (OntoVMS) is developed in order to supply a framework which can be used for semantic data modeling and querying in video files. OntoVMS supports semantic data modeling which can be divided into concept modeling, spatio-temporal relation and trajectory data modeling. The system uses Rhizomik MPEG-7 Ontology as the core ontology. Moreover ontology expression capability is extended by automatically attaching domain ontologies. OntoVMS supports querying of all spatial relations such as directional relations (north, south ...), mixed directional relations (northeast, southwest ...), distance relations (near, far), positional relations (above, below ...) and t...
Abstract-Multimedia database modeling and representation play an important role for efficient storag...
We propose a novel architecture for a video database system incorporating both spatio-temporal and s...
In this paper, we propose a novel Spatio-Temporal Video Retrieval model to extract spatio-temporal a...
In this thesis, a system, called Ontology-Driven Video Annotation and Retrieval System (OntoVARS) is...
The video databases and retrieval of data from these databases have become popular in various busine...
A video data model that supports spatio-temporal querying in videos is presented. The data model is ...
A video data model that supports spatio-temporal querying in videos is presented. The data model is ...
In this thesis a natural language query interface is developed for semantic and spatio-temporal quer...
Recent increase in the use of video in many applications has revealed the need for extracting the co...
Abstract. Video data management (VDM) is fast becoming one of seminar topics in multimedia informati...
In this paper, we propose a graphical data model for specifying spatio-temporal semantics of video d...
Abstract. In our earlier work, we proposed an architecture for a Web-based video database management...
The video databases have become popular in various areas due to the recent advances in technology. V...
To encode, query and present the semantic content of digital video precisely and flexibly is very us...
In our earlier work, we proposed an architecture for a Web-based video database management system (V...
Abstract-Multimedia database modeling and representation play an important role for efficient storag...
We propose a novel architecture for a video database system incorporating both spatio-temporal and s...
In this paper, we propose a novel Spatio-Temporal Video Retrieval model to extract spatio-temporal a...
In this thesis, a system, called Ontology-Driven Video Annotation and Retrieval System (OntoVARS) is...
The video databases and retrieval of data from these databases have become popular in various busine...
A video data model that supports spatio-temporal querying in videos is presented. The data model is ...
A video data model that supports spatio-temporal querying in videos is presented. The data model is ...
In this thesis a natural language query interface is developed for semantic and spatio-temporal quer...
Recent increase in the use of video in many applications has revealed the need for extracting the co...
Abstract. Video data management (VDM) is fast becoming one of seminar topics in multimedia informati...
In this paper, we propose a graphical data model for specifying spatio-temporal semantics of video d...
Abstract. In our earlier work, we proposed an architecture for a Web-based video database management...
The video databases have become popular in various areas due to the recent advances in technology. V...
To encode, query and present the semantic content of digital video precisely and flexibly is very us...
In our earlier work, we proposed an architecture for a Web-based video database management system (V...
Abstract-Multimedia database modeling and representation play an important role for efficient storag...
We propose a novel architecture for a video database system incorporating both spatio-temporal and s...
In this paper, we propose a novel Spatio-Temporal Video Retrieval model to extract spatio-temporal a...