895 resultados para tourist destination image


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Measuring the retention, or residence time, of dosage forms to biological tissue is commonly a qualitative measurement, where no real values to describe the retention can be recorded. The result of this is an assessment that is dependent upon a user's interpretation of visual observation. This research paper outlines the development of a methodology to quantitatively measure, both by image analysis and by spectrophotometric techniques, the retention of material to biological tissues, using the retention of polymer solutions to ocular tissue as an example. Both methods have been shown to be repeatable, with the spectrophotometric measurement generating data reliably and quickly for further analysis.

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Le passage du Merlin propre à sa Suite Vulgate, espace de suture entre le texte et sa continuation est dans la tradition manuscrite l'objet de variances et de déplacements. A la paix annoncée à la fin du Merlin succède en effet le conflit qui oppose le jeune roi Arthur à ses barons. Les passages de rubrication et d'entrelacement sont le lieu privilégié de variations formelles gommées par l'adoption et la reprise de moules stylistiques attendus. Ceux-ci exhibent tout en les masquant de subtiles divergences relevant de partis pris à la fois narratifs, interprétatifs et idéologiques.

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This paper presents an image motion model for airborne three-line-array (TLA) push-broom cameras. Both aircraft velocity and attitude instability are taken into account in modeling image motion. Effects of aircraft pitch, roll, and yaw on image motion are analyzed based on geometric relations in designated coordinate systems. The image motion is mathematically modeled by image motion velocity multiplied by exposure time. Quantitative analysis to image motion velocity is then conducted in simulation experiments. The results have shown that image motion caused by aircraft velocity is space invariant while image motion caused by aircraft attitude instability is more complicated. Pitch,roll and yaw all contribute to image motion to different extents. Pitch dominates the along-track image motion and both roll and yaw greatly contribute to the cross-track image motion. These results provide a valuable base for image motion compensation to ensure high accuracy imagery in aerial photogrammetry.

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L'illustration de la plupart des manuscrits de la Suite Vulgate met l'accent sur l'intervention prophétique de Merlin et sur l'accomplissement des désastres qu'il annonce au roi de Jérusalem Flualis, replaçant l'épisode dans une série de passages où Merlin fait la démonstration de ses pouvoirs surnaturels et de sa capacité à interpréter les songes. Pourtant, dans un petit groupe d'ouvrages, l'illustration se focalise sur la conversion ultime de Flualis et de sa femme, insistant sur le caractère exemplaire et édifiant d'un épisode qui propose une résolution des relations entre païens et chrétiens différente de celles habituellement mises en scène dans l'univers à coloration épique de la continuation.

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Backtracks aimed to investigate critical relationships between audio-visual technologies and live performance, emphasising technologies producing sound, contrasted with non-amplified bodily sound. Drawing on methodologies for studying avant garde theatre, live performance and the performing body, it was informed by work in critical and cultural theory by, for example, Steven Connor and Jonathan Rée, on the body's experience and interpretation of sound. The performance explored how shifting national boundaries, mobile workforces, complex family relationships, cultural pluralities and possibilities for bodily transformation have compelled a re-evaluation of what it means to feel 'at home' in modernity. Using montages of live and mediated images, disrupted narratives and sound, it evoked destablised identities which characterise contemporary lived experience, and enacted the displacement of certainties provided by family and nation, community and locality, body and selfhood. Homer's Odyssey framed the performance: elements could be traced in the mise-en-scène; in the physical presence of Athene, the narrator and Penelope weaving mementoes from the past into her loom; and in voice-overs from Homer's work. The performance drew on personal experiences and improvisations, structured around notions of journey. It presented incomplete narratives, memories, repressed anxieties and dreams through different combinations of sounds, music, mediated images, movement, voice and bodily sound. The theme of travel was intensified by performers carrying suitcases and umbrellas, by soundtracks incorporating travel effects, and by the distorted video images of forms of transport playing across 'screens' which proliferated across the space (sails, umbrellas, the loom, actors' bodies). The performance experimented with giving sound and silence performative dimensions, including presenting sound in visual and imagistic ways, for example by using signs from deaf sign language. Through-composed soundtracks of live and recorded song, music, voice-over, and noise exploited the viscerality of sound and disrupted cognitive interpretation by phenomenological, somatic experience, thereby displacing the impulse for closure/destination/home.

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This research examines whether or not foreign property investors enjoy tax and other advantages over their UK counterparts and how, if such advantages exists, UK quoted property companies can redress the balance. Current issues such as lack of liquidity, inequalities amongst asset classes, and differences in tax burden are examined in detail. The report will be of interest to property investment specialists, valuers, fund managers, institutional investors and their advisers.

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We present a Bayesian image classification scheme for discriminating cloud, clear and sea-ice observations at high latitudes to improve identification of areas of clear-sky over ice-free ocean for SST retrieval. We validate the image classification against a manually classified dataset using Advanced Along Track Scanning Radiometer (AATSR) data. A three way classification scheme using a near-infrared textural feature improves classifier accuracy by 9.9 % over the nadir only version of the cloud clearing used in the ATSR Reprocessing for Climate (ARC) project in high latitude regions. The three way classification gives similar numbers of cloud and ice scenes misclassified as clear but significantly more clear-sky cases are correctly identified (89.9 % compared with 65 % for ARC). We also demonstrate the poetential of a Bayesian image classifier including information from the 0.6 micron channel to be used in sea-ice extent and ice surface temperature retrieval with 77.7 % of ice scenes correctly identified and an overall classifier accuracy of 96 %.

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Scene classification based on latent Dirichlet allocation (LDA) is a more general modeling method known as a bag of visual words, in which the construction of a visual vocabulary is a crucial quantization process to ensure success of the classification. A framework is developed using the following new aspects: Gaussian mixture clustering for the quantization process, the use of an integrated visual vocabulary (IVV), which is built as the union of all centroids obtained from the separate quantization process of each class, and the usage of some features, including edge orientation histogram, CIELab color moments, and gray-level co-occurrence matrix (GLCM). The experiments are conducted on IKONOS images with six semantic classes (tree, grassland, residential, commercial/industrial, road, and water). The results show that the use of an IVV increases the overall accuracy (OA) by 11 to 12% and 6% when it is implemented on the selected and all features, respectively. The selected features of CIELab color moments and GLCM provide a better OA than the implementation over CIELab color moment or GLCM as individuals. The latter increases the OA by only ∼2 to 3%. Moreover, the results show that the OA of LDA outperforms the OA of C4.5 and naive Bayes tree by ∼20%. © 2014 Society of Photo-Optical Instrumentation Engineers (SPIE) [DOI: 10.1117/1.JRS.8.083690]

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This paper presents the PETS2009 outdoor crowd image analysis surveillance dataset and the performance evaluation of people counting, detection and tracking results using the dataset submitted to five IEEE Performance Evaluation of Tracking and Surveillance (PETS) workshops. The evaluation was carried out using well established metrics developed in the Video Analysis and Content Extraction (VACE) programme and the CLassification of Events, Activities, and Relationships (CLEAR) consortium. The comparative evaluation highlights the detection and tracking performance of the authors’ systems in areas such as precision, accuracy and robustness and provides a brief analysis of the metrics themselves to provide further insights into the performance of the authors’ systems.