Content-based Video Retrieval

no abstract

Moving Object Trajectories Meta-Model And Spatio-Temporal Queries

In this paper, a general moving object trajectories framework is put forward to allow independent applications processing trajectories data benefit from a high level of interoperability, information sharing as well as an efficient answer for a wide range of complex trajectory queries. Our proposed meta-model is based on ontology and event approach, incorporates existing presentations of trajectory and integrates new patterns like space-time path to describe activities in geographical space-time. We introduce recursive Region of Interest concepts and deal mobile objects trajectories with diverse spatio-temporal sampling protocols and different sensors available that traditional data model alone are incapable for this purpose.Comment: International Journal of Database Management Systems (IJDMS) Vol.4, No.2, April 201

Representing, storing and mining moving objects data

Data about moving objects have been collected in huge amounts due to the proliferation of mobile devices, which capture the position of objects over time. Studies about moving objects have been developed as a specific research area of Geographic Information Systems. Those systems are designed to process traditional, static or slowly changing, geospatial data. However, moving objects have inherent a dynamism that requires different approaches to data storage and analysis. This paper presents a review of the key concepts associated to moving objects and their characteristics, as well as the approaches proposed to store data about moving objects. For the analysis of moving objects, an overview of the existing data mining techniques and some future guidelines are also presented

Content-based Video Retrieval by Integrating Spatio-Temporal and Stochastic Recognition of Events

As amounts of publicly available video data grow the need to query this data efficiently becomes significant. Consequently content-based retrieval of video data turns out to be a challenging and important problem. We address the specific aspect of inferring semantics automatically from raw video data. In particular, we introduce a new video data model that supports the integrated use of two different approaches for mapping low-level features to high-level concepts. Firstly, the model is extended with a rule-based approach that supports spatio-temporal formalization of high-level concepts, and then with a stochastic approach. Furthermore, results on real tennis video data are presented, demonstrating the validity of both approaches, as well us advantages of their integrated us

Um banco de dados espaço-temporal para desenvolvimento de aplicações em sistemas de informação geografica

Orientadores: Claudia M. Bauzer Medeiros, Mario A. NascimentoDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de ComputaçãoResumo: Esta dissertação discute a implementação de uma infra-estrutura extensível, baseada em um sistema gerenciador de banco de dados orientado a objetos, que provê suporte ao desenvolvimento de aplicações espaço-temporais. A infra-estrutura está baseada na definição e implementação de um conjunto básico de operadores e classes orientadas a objetos, que cobrem os requisitos mínimos de processamento de consultas espaciais, temporais e espaço- temporais. As principais contribuições deste trabalho são a definição dos operadores e das classes e sua implementação efetiva, validada através de uma aplicação piloto. Uma contribuição adicional é a discussão da própria implementação, que permitiu corrigir falhas do modelo teórico adotado.Abstract: This dissertation discusses the implementation of an extensible framework, which provides support for the development of spatio-temporal database applications. The infrastructure, developed on the O2 object-oriented database system, consists of a kernel set of operators and database classes, which meet the minimum requirements for the processing of spatial, temporal and spatio-temporal queries. The main contributions of this work are the specification of the kernel operators and classes and their implementation, validated through a pilot geographic application. Another contribution is fhe analysis of this implementation, which discusses problems and shortcomings of some models proposed in the literature.MestradoMestre em Ciência da Computaçã