Thesis (Ph.D.)--Indiana University, Dept. of Counseling and Educational Psychology of the School of Education, 2009. / Title from PDF t.p. (viewed on Jul 6, 2010). Source: Dissertation Abstracts International, Volume: 70-10, Section: A, page: 3765. Advisers: Jeffrey Daniels; Phil Carspecken.

Thesis (Ph. D.)--University of California, Davis, 2005. / Degree granted in Computer Science. Also available via the World Wide Web. (Restricted to UC campuses)

Thesis (M.Sc.)--York University, 2005. Graduate Programme in Biology. / Typescript. Includes bibliographical references (leaves 88-93). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url%5Fver=Z39.88-2004&res%5Fdat=xri:pqdiss &rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:MR11797

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Report (M.S.)--Virginia Polytechnic Institute and State University, 1994. / Abstract. Includes bibliographical references (leaf 36). Also available via the Internet.

Vidéos de direct de qualité professionnelle mises en scène sont créées en les enregistrant à partir de différents points de vue appropriées. Ceux-ci sont ensuite édités ensemble pour présenter une histoire éloquente remplie avec la capacité de tirer l'émotion prévu de téléspectateurs. La création de ces vidéos compétentes, implique la combinaison de multiples caméras de haute qualité et des opérateurs de caméra qualifiés. Nous présentons une thèse à faire même les productions à petit budget adepte et agréable en produisant des vidéos de Youtube professionnels de qualité sans un équipage entièrement équipée et coûteux de cameramen. Une caméra statique haute résolution annule et remplace l'équipe de tournage pluriel et leurs mouvements de caméra efficaces sont ensuite simulé par la quasi-panoramique - inclinaison - zoom dans les enregistrements originaux. Nous montrons que plusieurs caméras virtuelles peuvent être simulés en choisissant des trajectoires différentes de culture fenêtres à l'intérieur de l'enregistrement original. L'une des nouveautés principales de ce travail est un cadre de optimisation pour calculer les trajectoires des caméras virtuelles à l'aide des informations extraites de la vidéo originale basée sur des techniques de vision par ordinateur. Les acteurs présents sur scène sont considérés comme les éléments les plus importants de la scène. Pour la tâche de localiser et de nommer les acteurs, nous introduisons modèles génératifs pour apprendre vue personne indépendante et détecteurs spécifiques costume d'un ensemble d'exemples étiquetés. Nous expliquons comment apprendre les modèles à partir d'un petit nombre d'images clés marqués ou pistes vidéo, et comment détecter de nouveaux aspects des acteurs dans un cadre du maximum de vraisemblance. Nous démontrons que les modèles spécifiques comme des acteurs peuvent localiser avec précision les acteurs malgré les changements de point de vue et des occlusions, et d'améliorer de manière significative les taux de rappel de détection plus détecteurs génériques. La thèse présente ensuite un algorithme hors ligne pour le suivi des objets et des acteurs dans les séquences vidéo longues utilisation de ces modèles spécifiques d'acteurs. Détections sont d'abord effectuées pour sélectionner indépendamment emplacements candidats de l'acteur / objet dans chaque image de la vidéo. Les détections candidats sont ensuite combinés en des trajectoires lisses dans une étape d'optimisation en minimisant une fonction de coût qui représente les fausses détections et les occlusions. Les pistes d'acteur, nous proposons un cadre pour plusieurs clips générant automatiquement adaptés pour le montage vidéo en simulant pan-tilt-zoom mouvements de caméra dans le cadre d'une seule caméra statique. Notre méthode ne nécessite que peu de données utilisateur pour définir l'objet de chaque sous-séquence. La composition de chaque sous-clip est automatiquement calculée dans un cadre nouveau d'optimisation norme L1. Notre approche code pour plusieurs pratiques cinématographiques communs dans un seul problème de minimisation de la fonction de coût convexe, ce qui sous-clips esthétiquement agréables qui peuvent être facilement éditées ensemble en utilisant multi-pince logiciel off-the-shelf montage vidéo. / Professional quality videos of live staged performances are created by recording them from different appropriate viewpoints. These are then edited together to portray an eloquent story replete with the ability to draw out the intended emotion from the viewers. Creating such competent videos, involves the combination of multiple high quality cameras and skilled camera operators. We present a thesis to make even the low budget productions adept and pleasant by producing professional quality vidoes sans a fully and expensively equipped crew of cameramen. A high resolution static camera replaces the plural camera crew and their efficient camera movements are then simulated by virtually panning - tilting - zooming within the original recordings. We show that multiple virtual cameras can be simulated by choosing different trajectories of cropping windows inside the original recording. One of the key novelties of this work is an optimazation framework for computing the virtual camera trajectories using the information extracted from the original video based on computer vision techniques. The actors present on stage are considered as the most important elements of the scene. For the task of localizing and naming actors, we introduce generative models for learning view independent person and costume specific detectors from a set of labeled examples. We explain how to learn the models from a small number of labeled keyframes or video tracks, and how to detect novel appearances of the actors in a maximum likelihood framework. We demonstrate that such actor specific models can accurately localize actors despite changes in view point and occlusions, and significantly improve the detection recall rates over generic detectors. The dissertation then presents an offline algorithm for tracking objects and actors in long video sequences using these actor specific models. Detections are first performed to independently select candidate locations of the actor/object in each frame of the video. The candidate detections are then combined into smooth trajectories in an optimization step minimizing a cost function accounting for false detections and occlusions. Using the actor tracks, we propose a framework for automatically generating multiple clips suitable for video editing by simulating pan-tilt-zoom camera movements within the frame of a single static camera. Our method requires only minimal user input to define the subject matter of each sub-clip. The composition of each sub-clip is automatically computed in a novel L1-norm optimization framework. Our approach encodes several common cinematographic practices into a single convex cost function minimization problem, resulting in aesthetically-pleasing sub-clips which can easily be edited together using off-the-shelf multi-clip video editing software.

Master of Science / Food Science Institute / Jayendra K. Amamcharla / Fouling and biofilm formation on stainless-steel (SS) surfaces can be sources for cross-contamination and pose a great threat to the public health and food quality. The dairy industry needs an intervention strategy focusing on technologies discouraging the biofilm attachment and developing a sustainable eco-friendly approach for biofilm removal from the dairy processing surfaces. Since fouling encourages the attachment of bacteria to the SS surfaces, it becomes important to study the ways of reducing the fouling. The bacterial attachment to the fouled SS surfaces can be prevented by modifying the SS surface properties by chemical (using coatings) or mechanical methods. On the other hand, the degree of fouling can also be reduced by using good quality raw materials. The objective-1 of the study was focused on understanding the relationship between effect of milk protein concentrate (MPC80) solubility characteristics and fouling on SS surfaces during thermal processing. The powders were stored at different temperatures (25 ºC and 40 ºC) for 2 weeks to generate powders with different dissolution characteristics. Fouling characteristics of reconstituted MPC80 powder were studied using a custom-built benchtop plate heat exchanger. Exposing the MPC80 powder to a higher temperature during storage (40 ºC) significantly decreased the solubility and increased the amount of foulant on SS coupons (P < 0.05). Microscopic investigations (scanning electron microscopy and laser scanning confocal microscopy) of resulting fouled layers revealed heterogeneous fouling layers of varying tomographies, consisting of lipids, proteins, and calcium. In the second study, the efficacy of Micro- and Nano-bubble aqueous ozone (MNAO) as a disinfectant was studied in removal of Bacillus cereus and Bacillus licheniformis biofilm from the SS surface. For the Bacillus cereus biofilm removal, a log reduction of only 0.68 cfu/cm2 was observed after the de-ionized water wash. Whereas both MNAO and cleaning-in-place (CIP) treatments significantly reduced the bacterial counts by 2.43 and 2.88 log10 cfu/cm2, respectively. On the other hand, for the Bacillus licheniformis biofilm removal from SS surfaces, a significant log reduction observed was 1.45, 3.03, 2.92 log10 cfu/cm2, respectively after de-ionzed water, MNAO, and CIP treatments. Thus, it was observed that MNAO has great potential for removal of Bacillus cereus and Bacillus licheniformis biofilms from the SS surface, and can be used in the dairy industry as an effective sanitizer/disinfectant

The objective of this thesis is to study numerically the aeroacoustics of low Mach number (M inf 0.3) fow with thick turbulent boundary layer past a cavity based on Large Eddy Simulation (LES). Velocity profiles from power law and equilibrium turbulent boundary layer were imposed as inlet conditions on the computational domain. The equilibrium turbulent boundary layer profles (zero and adverse pressure gradient) have been generated using a symptotic approach with an improved mixing length model. A good agreement is observed between the computed boundary layer profiles and the profiles obtained from experiments and direct numerical simulations. LES results present the infuence of the thickness of the incoming turbulent boundary layers on the mode of oscillation in the shallow cavity of L/D=4. An agreement with the experiments of Haigermoser and the shear mode have been found for the upstream velocity 5.8m/s. Wake mode was observed for the other two test cases at 20 and 40m/s. A 3D cavity simulation is performed to show that the wake mode observed in the 2D calculations is an artifact. The hydrodynamic pressure feld obtained from the 2D simulation is used as an input to the acoustic analogy (Lighthill-Curle's analogy), to compute the acoustic pressure feld at the near and far feld of the cavities. Conforming the experiments of Haigermoser, a weak directivity of sound propagation was observed. Shear mode infuences the sound pressure levels strongly.