Human Pose Estimation (HPE) from monocular RGB images is crucial for clinical in-bed skeleton-based action recognition, however, it poses unique challenges HPE models due to the frequent presence of blankets occluding person, while labeled data in this scenario scarce. To address we introduce BlanketGen2-Fit3D (BG2-Fit3D), an augmentation Fit3D dataset that contains 1,217,312 frames with synthetic photo-realistic blankets. generate used BlanketGen2, our new and improved version BlanketGen...

This work discusses video communications over wireless networks (IEEE 802.11ac standard). The videos are in three different resolutions: 720p, 1080p, and 2160p. It is essential to study the performance of these media access technologies enhance current coding techniques. sets out a quality prediction model that includes resolutions based on network terms conditions, an approach has not previously been adopted literature. involves obtaining Service Experience Quality Metrics, such as PSNR...

With the development of PLC technology (Power Line Communication), which allows data transmission at high speed by power grid. Emerged as a solution for last mile triple play. This article presents analysis VoIP and streaming videos in definition through residential indoor network.

Clinical in-bed video-based human motion analysis is a very relevant computer vision topic for several biomedical applications. Nevertheless, the main public large datasets (e.g. ImageNet or 3DPW) used deep learning approaches lack annotated examples these clinical scenarios. To address this issue, we introduce BlanketSet, an RGB-IR-D action recognition dataset of sequences performed in hospital bed. This has potential to help bridge improvements attained more general Information on how...

Human motion analysis has seen drastic improvements recently, however, due to the lack of representative datasets, for clinical in-bed scenarios it is still lagging behind. To address this issue, we implemented BlanketGen, a pipeline that augments videos with synthetic blanket occlusions. With pipeline, generated an augmented version pose estimation dataset 3DPW called BlanketGen-3DPW. We then used new fine-tune Deep Learning model improve its performance in these promising results. Code and...

Clinical in-bed video-based human motion analysis is a very relevant computer vision topic for several biomedical applications. Nevertheless, the main public large datasets (e.g. ImageNet or 3DPW) used deep learning approaches lack annotated examples these clinical scenarios. To address this issue, we introduce BlanketSet, an RGB-IR-D action recognition dataset of sequences performed in hospital bed. This has potential to help bridge improvements attained more general Information on how...

Human motion analysis has seen drastic improvements recently, however, due to the lack of representative datasets, for clinical in-bed scenarios it is still lagging behind. To address this issue, we implemented BlanketGen, a pipeline that augments videos with synthetic blanket occlusions. With pipeline, generated an augmented version pose estimation dataset 3DPW called BlanketGen-3DPW. We then used new fine-tune Deep Learning model improve its performance in these promising results. Code and...

Durante o processo de ensino dos fundamentos e conceitos da disciplina SO (Sistemas Operacionais), há uma série dificuldades relacionadas a observação análise eventos computacionais. Consequentemente tipo conteúdo utilizado nas aulas desta são, na maioria das vezes, teóricos, podendo comprometer aprendizado estudantes. Em contrapartida, desenvolvimento novos métodos mostram importância quebra do paradigma tradicional, trazendo para ambiente educacional novas técnicas ferramentas que visam...

Due to the limited computing resources of drones, it is difficult handle computation-intensive tasks locally, hence, fog-based computation offloading has been widely adopted. The effectiveness an operation, however, determined by its ability infer where execution code/data represents less computational effort for drone, so that, deciding offload correctly, device benefits. Thus, this paper proposes MonDroneFog, a novel architecture that supports image offloading, as well monitoring and...

This article provides an assessment of performance using the femtocell as access technology for return channel Digital TV, analyzing their use in conjunction with WiMAX and DSL standards. From this idea several simulations FTP DTV services well video voice transmissions were made, beyond inclusion competing traffic so that environment is closely match a real scenario, aiming to leave network situations end on transmission medium. At study, it observed combined Femtocell pattern reaches goal,...

Nos últimos anos, o tráfego multimídia vem crescendo vertiginosamente por conta da enorme busca algumas aplicações, especialmente vídeos e streamings em altas resoluções, trafegados predominantemente sobre redes wireless. Uma das justificativas é aumento de dispositivos móveis, a proliferação acesso à sociedade. Com este cenário surgem necessidades analisar qualidade desses tipos tráfego, verificar impacto perdas na percebida pelo usuário, podendo gerar insatisfação do cliente diante serviço...

Apesar dos avanços recentes que tornaram o uso de UAVs (Unmanned Air Vehicles) em diversos cenários uma realidade, há vários desafios a serem enfrentados para explorar todo seu potencial. O Fog Computing se torna saı́da auxiliar estes dispositivos móveis com energia e hardware limitados terceirizar toda capacidade processamento um recurso remoto na borda da rede. Este trabalho apresenta avaliação desempenho técnica offloading drone servidor cloudlet ambiente fog computing transmissão imagens...