The degree of isolation of oceanic islands makes these environments an excellent model for evolutionary studies. Proper knowledge of the species composition of oceanic islands, however, is required to better understand evolutionary processes (e.g. speciation events). A 3-year survey in the shallow waters (up to 30 m) of the Trindade and Martin Vaz oceanic insular complex, and a literature review on the data published for these islands and for Fernando de Noronha and São Pedro and São Paulo oceanic archipelagos have been conducted to document the biodiversity of echinoids and holothuroids from these isolated Brazilian oceanic islands. Sixteen species were collected and characterized morphologically, including two first records for the South Atlantic and one for Brazil. Comparison with conspecific specimens from the Brazilian coast and congeners was also done. Species richness increased from six to 18; the richness in Trindade Island being the highest among the South Atlantic oceanic islands. However, these islands remain undersampled beyond 30-m depth. Endemism was very low, suggesting the potential role of oceanic currents and seamounts as stepping-stones in transoceanic dispersal of species to remote islands. The Brazilian oceanic islands are impoverished oceanic outposts of the Brazilian Province; nevertheless, endemic species and intraspecific morphological variations compared with the mainland suggest they may also be regions of speciation. Documenting their biodiversity is critical for effective management and conservation of their marine ecosystems.

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Abstract. In this paper we propose an architecture for processing endoscopic procedures results. The goal is to create a complete system capable of processing any type of endoscopic multimedia results, in order to overcome the most common issues in the endoscopic domain (e.g. video's long-duration, gastroenterologist's possible difficulty to maintain the focus and efficiency during the viewing process, imperfections in images/videos). It was this scenario that led to the conception of the MIVprocessing solution, which will address these and other problems, providing an added value to the elaboration of diagnoses. The MIVprocessing is composed of five tasks: Video Summarization (elimination of the "non-informative" frames); Pre-Processing (correction/improvement of the frames); Pre-Detection; Segmentation; and Feature Extraction and Classification. The idea is to create a framework that brings together the capabilities of different but at the same time complementary concepts (e.g. image and signal processing, machine learning, computer vision). This conjugation applied to the endoscopic domain provides a set of features capable of improving the gastroenterologist's activities during and after the procedure.

The technological evolution seen in the past years led to an increase in the number therapeutic and diagnostic tests. In this paper a new solution for storage, diffusion, and real-time remote assistance in endoscopic exams is presented. The aim is to solve the problem of endoscopic examinations not being archived and easily accessed anywhere within a health care network by authorized health care professionals and researchers. Solving that problem avoids unneeded repetition of unpleasant exams and allows the comparison of video segments with future procedures. The presented solution also allows the streaming and real-time remote assistance of exams being carried out. This way health care professionals can contribute with their expertise even if they cannot attend onsite.

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The technological evolution seen in the past years led to an increase in the number therapeutic and diagnostic tests. In this paper a new solution for storage, diffusion, and real-time remote assistance in endoscopic exams is presented. The aim is to solve the problem of endoscopic examinations not being archived and easily accessed anywhere within a health care network by authorized health care professionals and researchers. Solving that problem avoids unneeded repetition of unpleasant exams and allows the comparison of video segments with future procedures. The presented solution also allows the streaming and real-time remote assistance of exams being carried out. This way health care professionals can contribute with their expertise even if they cannot attend onsite.