A brief survey on online analysis of movement data

The increasing availability of mobility data and the awareness of its importance and value have been motivating many researchers to the development of models and tools for analyzing movement data. This paper presents a brief survey of significant research works about modeling, processing and visualization of data about moving objects. We identified some key research fields that will provide better features for online analysis of movement data. As result of the literature review, we suggest a generic multi-layer architecture for the development of an online analysis processing software tool, which will be used for the definition of the future work of our team.

Automated traffic route identification through the shared nearest neighbour algorithm

Many organisations need to extract useful information from huge amounts of movement data. One example is found in maritime transportation, where the automated identification of a diverse range of traffic routes is a key management issue for improving the maintenance of ports and ocean routes, and accelerating ship traffic. This paper addresses, in a first stage, the research challenge of developing an approach for the automated identification of traffic routes based on clustering motion vectors rather than reconstructed trajectories. The immediate benefit of the proposed approach is to avoid the reconstruction of trajectories in terms of their geometric shape of the path, their position in space, their life span, and changes of speed, direction and other attributes over time. For clustering the moving objects, an adapted version of the Shared Nearest Neighbour algorithm is used. The motion vectors, with a position and a direction, are analysed in order to identify clusters of vectors that are moving towards the same direction. These clusters represent traffic routes and the preliminary results have shown to be promising for the automated identification of traffic routes with different shapes and densities, as well as for handling noise data.

Espectador Activo: Comunicação audiovisual institucional num mundo de redes participativas

Once delighted by the moving image advent as a new method of realistically presenting reality, the viewer has been reposition himself towards the audiovisual contents he consumes, as he is given the opportunity to create and share his own perspective of that reality. We are living in a new technological setting, governed mainly by factors of interactivity, digital systems and technological convergence. The research project that we will present in this paper focuses on the subject of participatory media and the way cultural institutions are increasingly facing the inevitability of a profound revision of their traditional parameters of unidirectional communication, given the increasing availability of tools for audiovisual production as well as the diversity of networked communication contexts. The Serralves Foundation with its Museum of Contemporary Art, in Porto, Portugal, was the subject of a fi rst study of an empirical nature: a series of audiovisual objects were developed, in order to generate material for analysis and proposition. In this new stage of the project, our aim is to identify new procedures and practices that may be effectively implemented within the institutional universe. We intend to propose effi cient audiovisual communication contexts, including the maximizing of the relationship between institutions and audiences regarding dimensions that are traditionally outside the institutional radar: identity, narrative and affection. The project is currently in the process of surveying and categorization, with the aim of producing a map of different vocations and positions of the various institutions in regards to the aforementioned issues, which require participatory communication.