Positive leader characteristics from high-speed video observations

Based on analyses of high-speed video recordings of cloud-to-ground lightning in Brazil and the USA, the characteristics of positive cloud-to-ground (+CG) leaders are presented. The high frame rates permitted the average, 2-dimensional speeds of development along the paths of the channels to be resolved with good accuracy. The values range from 0.3 to 6.0 x 10(5) ms(-1) with a mean of 2.7 x 10(5) ms(-1). Contrary to what is usually assumed, downward +CG leader speeds are similar to downward -CG leader speeds. Our observations also show that the speeds tend to increase by a factor of 1.1 to 6.5 as they approach the ground. The presence of short duration, recoil leaders (RLs) during the development of positive leaders reveal a highly branched structure that is not usually recorded when using conventional photographic and video cameras. The existence of the RLs may help to explain observations of UHF-VHF radiation during the development of +CG flashes.

Implementação Hardware/Software da estimação de movimento segundo o padrão H.264

Motion estimation is the main responsible for data reduction in digital video encoding. It is also the most computational damanding step. H.264 is the newest standard for video compression and was planned to double the compression ratio achievied by previous standards. It was developed by the ITU-T Video Coding Experts Group (VCEG) together with the ISO/IEC Moving Picture Experts Group (MPEG) as the product of a partnership effort known as the Joint Video Team (JVT). H.264 presents novelties that improve the motion estimation efficiency, such as the adoption of variable block-size, quarter pixel precision and multiple reference frames. This work defines an architecture for motion estimation in hardware/software, using a full search algorithm, variable block-size and mode decision. This work consider the use of reconfigurable devices, soft-processors and development tools for embedded systems such as Quartus II, SOPC Builder, Nios II and ModelSim

High-speed video observations of positive ground flashes produced by intracloud lightning

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Ovariectomy by laparotomy, a video-assisted approach or a complete laparoscopic technique in Santa Ines sheep

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Hybrid visual-driven decision support system in video monitor manufacturing

An intelligent system that emulates human decision behaviour based on visual data acquisition is proposed. The approach is useful in applications where images are used to supply information to specialists who will choose suitable actions. An artificial neural classifier aids a fuzzy decision support system to deal with uncertainty and imprecision present in available information. Advantages of both techniques are exploited complementarily. As an example, this method was applied in automatic focus checking and adjustment in video monitor manufacturing. Copyright © 2005 IFAC.

Video target tracking by using competitive neural networks

A target tracking algorithm able to identify the position and to pursuit moving targets in video digital sequences is proposed in this paper. The proposed approach aims to track moving targets inside the vision field of a digital camera. The position and trajectory of the target are identified by using a neural network presenting competitive learning technique. The winning neuron is trained to approximate to the target and, then, pursuit it. A digital camera provides a sequence of images and the algorithm process those frames in real time tracking the moving target. The algorithm is performed both with black and white and multi-colored images to simulate real world situations. Results show the effectiveness of the proposed algorithm, since the neurons tracked the moving targets even if there is no pre-processing image analysis. Single and multiple moving targets are followed in real time.

A video-based biometric authentication for e-learning web applications

In the last years there was an exponential growth in the offering of Web-enabled distance courses and in the number of enrolments in corporate and higher education using this modality. However, the lack of efficient mechanisms that assures user authentication in this sort of environment, in the system login as well as throughout his session, has been pointed out as a serious deficiency. Some studies have been led about possible biometric applications for web authentication. However, password based authentication still prevails. With the popularization of biometric enabled devices and resultant fall of prices for the collection of biometric traits, biometrics is reconsidered as a secure remote authentication form for web applications. In this work, the face recognition accuracy, captured on-line by a webcam in Internet environment, is investigated, simulating the natural interaction of a person in the context of a distance course environment. Partial results show that this technique can be successfully applied to confirm the presence of users throughout the course attendance in an educational distance course. An efficient client/server architecture is also proposed. © 2009 Springer Berlin Heidelberg.

Bothropstoxin-I reduces evoked acetylcholine release from rat motor nerve terminals: Radiochemical and real-time video-microscopy studies

Understanding the biological activity profile of the snake venom components is fundamental for improving the treatment of snakebite envenomings and may also contribute for the development of new potential therapeutic agents. In this work, we tested the effects of BthTX-I, a Lys49 PLA2 homologue from the Bothrops jararacussu snake venom. While this toxin induces conspicuous myonecrosis by a catalytically independent mechanism, a series of in vitro studies support the hypothesis that BthTX-I might also exert a neuromuscular blocking activity due to its ability to alter the integrity of muscle cell membranes. To gain insight into the mechanisms of this inhibitory neuromuscular effect, for the first time, the influence of BthTX-I on nerve-evoked ACh release was directly quantified by radiochemical and real-time video-microscopy methods. Our results show that the neuromuscular blockade produced by in vitro exposure to BthTX-I (1 μM) results from the summation of both pre- and postsynaptic effects. Modifications affecting the presynaptic apparatus were revealed by the significant reduction of nerve-evoked [3H]-ACh release; real-time measurements of transmitter exocytosis using the FM4-64 fluorescent dye fully supported radiochemical data. The postsynaptic effect of BthTX-I was characterized by typical histological alterations in the architecture of skeletal muscle fibers, increase in the outflow of the intracellular lactate dehydrogenase enzyme and progressive depolarization of the muscle resting membrane potential. In conclusion, these findings suggest that the neuromuscular blockade produced by BthTX-I results from transient depolarization of skeletal muscle fibers, consequent to its general membrane-destabilizing effect, and subsequent decrease of evoked ACh release from motor nerve terminals. © 2012 Elsevier Ltd.

A rank aggregation framework for video multimodal geocoding

This paper proposes a rank aggregation framework for video multimodal geocoding. Textual and visual descriptions associated with videos are used to define ranked lists. These ranked lists are later combined, and the resulting ranked list is used to define appropriate locations for videos. An architecture that implements the proposed framework is designed. In this architecture, there are specific modules for each modality (e.g, textual and visual) that can be developed and evolved independently. Another component is a data fusion module responsible for combining seamlessly the ranked lists defined for each modality. We have validated the proposed framework in the context of the MediaEval 2012 Placing Task, whose objective is to automatically assign geographical coordinates to videos. Obtained results show how our multimodal approach improves the geocoding results when compared to methods that rely on a single modality (either textual or visual descriptors). We also show that the proposed multimodal approach yields comparable results to the best submissions to the Placing Task in 2012 using no extra information besides the available development/training data. Another contribution of this work is related to the proposal of a new effectiveness evaluation measure. The proposed measure is based on distance scores that summarize how effective a designed/tested approach is, considering its overall result for a test dataset. © 2013 Springer Science+Business Media New York.

Ipsis video litteris: processos e procedimentos artísticos da escrita na televisão - videografia

Pós-graduação em Artes - IA

Curva de aprendizado da ovariohisterectomia video-assistida e da miniceliotomia associada à técnica do gancho de snook em gatas (Felis catus, Linnaeus, 1758)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Instrumento nuevo en el análisis social: ENTRE-RIELES": etapas y desarrollo de una experiencia en video interdisciplinaria"

Incluye Bibliografía

Entre Rieles: una experiencia interdisciplinaria en video sobre juventud popular urbana

Incluye Bibliografía

Estudo comparativo entre as técnicas de video-toracoscopia e toracotomia para fenestração de disco intervertebral em cães

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Predição de qualidade de experiência em redes wimax em aplicações de video baseada em aspectos de qualidade de serviço

A crescente utilização dos serviços de telecomunicações principalmente sem fio tem exigido a adoção de novos padrões de redes que ofereçam altas taxas de transmissão e que alcance um número maior de usuários. Neste sentido o padrão IEEE 802.16, no qual é baseado o WiMAX, surge como uma tecnologia em potencial para o fornecimento de banda larga na próxima geração de redes sem fio, principalmente porque oferece Qualidade de Serviço (QoS) nativamente para fluxos de voz, dados e vídeo. A respeito das aplicações baseadas vídeo, tem ocorrido um grande crescimento nos últimos anos. Em 2011 a previsão é que esse tipo de conteúdo ultrapasse 50% de todo tráfego proveniente de dispositivos móveis. Aplicações do tipo vídeo têm um forte apelo ao usuário final que é quem de fato deve ser o avaliador do nível de qualidade recebida. Diante disso, são necessárias novas formas de avaliação de desempenho que levem em consideração a percepção do usuário, complementando assim as técnicas tradicionais que se baseiam apenas em aspectos de rede (QoS). Nesse sentido, surgiu a avaliação de desempenho baseada Qualidade de Experiência (QoE) onde a avaliação do usuário final em detrimento a aplicação é o principal parâmetro mensurado. Os resultados das investigações em QoE podem ser usados como uma extensão em detrimento aos tradicionais métodos de QoS, e ao mesmo tempo fornecer informações a respeito da entrega de serviços multimídias do ponto de vista do usuário. Exemplos de mecanismos de controle que poderão ser incluídos em redes com suporte a QoE são novas abordagens de roteamento, processo de seleção de estação base e tráfego condicionado. Ambas as metodologias de avaliação são complementares, e se usadas de forma combinada podem gerar uma avaliação mais robusta. Porém, a grande quantidade de informações dificulta essa combinação. Nesse contexto, esta dissertação tem como objetivo principal criar uma metodologia de predição de qualidade de vídeo em redes WiMAX com uso combinado de simulações e técnicas de Inteligência Computacional (IC). A partir de parâmetros de QoS e QoE obtidos através das simulações será realizado a predição do comportamento futuro do vídeo com uso de Redes Neurais Artificiais (RNA). Se por um lado o uso de simulações permite uma gama de opções como extrapolação de cenários de modo a imitar as mesmas situações do mundo real, as técnicas de IC permitem agilizar a análise dos resultados de modo que sejam feitos previsões de um comportamento futuro, correlações e outros. No caso deste trabalho, optou-se pelo uso de RNAs uma vez que é a técnica mais utilizada para previsão do comportamento, como está sendo proposto nesta dissertação.