Raum-Zeit Interpolationstechniken

The photo-realistic modeling and animation of complex scenes in 3D requires a lot of work and skill of artists even with modern acquisition techniques. This is especially true if the rendering should additionally be performed in real-time. In this thesis we follow another direction in computer graphics to generate photo-realistic results based on recorded video sequences of one or multiple cameras. We propose several methods to handle scenes showing natural phenomena and also multi-view footage of general complex 3D scenes. In contrast to other approaches, we make use of relaxed geometric constraints and focus especially on image properties important to create perceptually plausible in-between images. The results are novel photo-realistic video sequences rendered in real-time allowing for interactive manipulation or to interactively explore novel view and time points.Das Modellieren und die Animation von 3D Szenen in fotorealistischer Qualität ist sehr arbeitsaufwändig, auch wenn moderne Verfahren benutzt werden. Wenn die Bilder in Echtzeit berechnet werden sollen ist diese Aufgabe um so schwieriger zu lösen. In dieser Dissertation verfolgen wir einen alternativen Ansatz der Computergrafik, um neue photorealistische Ergebnisse aus einer oder mehreren aufgenommenen Videosequenzen zu gewinnen. Es werden mehrere Methoden entwickelt die für natürlicher Phänomene und für generelle Szenen einsetzbar sind. Im Unterschied zu anderen Verfahren nutzen wir abgeschwächte geometrische Einschränkungen und berechnen eine genaue Lösung nur dort wo sie wichtig für die menschliche Wahrnehmung ist. Die Ergebnisse sind neue fotorealistische Videosequenzen, die in Echtzeit berechnet und interaktiv manipuliert, oder in denen neue Blick- und Zeitpunkte der Szenen frei erkundet werden können

Learning From Multi-Frame Data

Multi-frame data-driven methods bear the promise that aggregating multiple observations leads to better estimates of target quantities than a single (still) observation. This thesis examines how data-driven approaches such as deep neural networks should be constructed to improve over single-frame-based counterparts. Besides algorithmic changes, as for example in the design of artificial neural network architectures or the algorithm itself, such an examination is inextricably linked with the consideration of the synthesis of synthetic training data in meaningful size (even if no annotations are available) and quality (if real ground-truth acquisition is not possible), which capture all temporal effects with high fidelity. We start with the introduction of a new algorithm to accelerate a nonparametric learning algorithm by using a GPU adapted implementation to search for the nearest neighbor. While the approaches known so far are clearly surpassed, this empirically reveals that the data generated can be managed within a reasonable time and that several inputs can be processed in parallel even under hardware restrictions. Based on a learning-based solution, we introduce a novel training protocol to bridge the need for carefully curated training data and demonstrate better performance and robustness than a non-parametric search for the nearest neighbor via temporal video alignments. Effective learning in the absence of labels is required when dealing with larger amounts of data that are easy to capture but not feasible or at least costly to label. In addition, we show new ways to generate plausible and realistic synthesized data and their inevitability when it comes to closing the gap to expensive and almost infeasible real-world acquisition. These eventually achieve state-of-the-art results in classical image processing tasks such as reflection removal and video deblurring

Proceedings of the Fifth International Mobile Satellite Conference 1997

Satellite-based mobile communications systems provide voice and data communications to users over a vast geographic area. The users may communicate via mobile or hand-held terminals, which may also provide access to terrestrial communications services. While previous International Mobile Satellite Conferences have concentrated on technical advances and the increasing worldwide commercial activities, this conference focuses on the next generation of mobile satellite services. The approximately 80 papers included here cover sessions in the following areas: networking and protocols; code division multiple access technologies; demand, economics and technology issues; current and planned systems; propagation; terminal technology; modulation and coding advances; spacecraft technology; advanced systems; and applications and experiments

Abstracts on Radio Direction Finding (1899 - 1995)

The files on this record represent the various databases that originally composed the CD-ROM issue of "Abstracts on Radio Direction Finding" database, which is now part of the Dudley Knox Library's Abstracts and Selected Full Text Documents on Radio Direction Finding (1899 - 1995) Collection. (See Calhoun record https://calhoun.nps.edu/handle/10945/57364 for further information on this collection and the bibliography). Due to issues of technological obsolescence preventing current and future audiences from accessing the bibliography, DKL exported and converted into the three files on this record the various databases contained in the CD-ROM. The contents of these files are: 1) RDFA_CompleteBibliography_xls.zip [RDFA_CompleteBibliography.xls: Metadata for the complete bibliography, in Excel 97-2003 Workbook format; RDFA_Glossary.xls: Glossary of terms, in Excel 97-2003 Workbookformat; RDFA_Biographies.xls: Biographies of leading figures, in Excel 97-2003 Workbook format]; 2) RDFA_CompleteBibliography_csv.zip [RDFA_CompleteBibliography.TXT: Metadata for the complete bibliography, in CSV format; RDFA_Glossary.TXT: Glossary of terms, in CSV format; RDFA_Biographies.TXT: Biographies of leading figures, in CSV format]; 3) RDFA_CompleteBibliography.pdf: A human readable display of the bibliographic data, as a means of double-checking any possible deviations due to conversion

Systematic Approaches for Telemedicine and Data Coordination for COVID-19 in Baja California, Mexico

Conference proceedings info: ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologies Raleigh, HI, United States, March 24-26, 2023 Pages 529-542We provide a model for systematic implementation of telemedicine within a large evaluation center for COVID-19 in the area of Baja California, Mexico. Our model is based on human-centric design factors and cross disciplinary collaborations for scalable data-driven enablement of smartphone, cellular, and video Teleconsul-tation technologies to link hospitals, clinics, and emergency medical services for point-of-care assessments of COVID testing, and for subsequent treatment and quar-antine decisions. A multidisciplinary team was rapidly created, in cooperation with different institutions, including: the Autonomous University of Baja California, the Ministry of Health, the Command, Communication and Computer Control Center of the Ministry of the State of Baja California (C4), Colleges of Medicine, and the College of Psychologists. Our objective is to provide information to the public and to evaluate COVID-19 in real time and to track, regional, municipal, and state-wide data in real time that informs supply chains and resource allocation with the anticipation of a surge in COVID-19 cases. RESUMEN Proporcionamos un modelo para la implementación sistemática de la telemedicina dentro de un gran centro de evaluación de COVID-19 en el área de Baja California, México. Nuestro modelo se basa en factores de diseño centrados en el ser humano y colaboraciones interdisciplinarias para la habilitación escalable basada en datos de tecnologías de teleconsulta de teléfonos inteligentes, celulares y video para vincular hospitales, clínicas y servicios médicos de emergencia para evaluaciones de COVID en el punto de atención. pruebas, y para el tratamiento posterior y decisiones de cuarentena. Rápidamente se creó un equipo multidisciplinario, en cooperación con diferentes instituciones, entre ellas: la Universidad Autónoma de Baja California, la Secretaría de Salud, el Centro de Comando, Comunicaciones y Control Informático. de la Secretaría del Estado de Baja California (C4), Facultades de Medicina y Colegio de Psicólogos. Nuestro objetivo es proporcionar información al público y evaluar COVID-19 en tiempo real y rastrear datos regionales, municipales y estatales en tiempo real que informan las cadenas de suministro y la asignación de recursos con la anticipación de un aumento de COVID-19. 19 casos.ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologieshttps://doi.org/10.1007/978-981-99-3236-

Life Sciences Program Tasks and Bibliography

This document includes information on all peer reviewed projects funded by the Office of Life and Microgravity Sciences and Applications, Life Sciences Division during fiscal year 1995. Additionally, this inaugural edition of the Task Book includes information for FY 1994 programs. This document will be published annually and made available to scientists in the space life sciences field both as a hard copy and as an interactive Internet web pag