249 resultados para destination image


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In “Really Really”, a series of words float through animated star constellations. While apparently drifting aimlessly, the words can be rearranged in numerous ways to recount roughly the same sappy avowal of long-distance love. The many combinations of words, and their predictable associations, call attention to the thresholds of verbal expression. When some sincere words are needed most it seems as if they’ve all been said before. And so, this declaration of love is both enabled and haunted by the tension between sentiment and formula. “Really Really” continues my interests in how meaning is constructed and circulated, and in particular, how common models of communication continue to frame and yet fall short of our personal experiences.

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In this video, the words animated on screen are sometimes the same and sometimes different from those spoken by a male voice. Both narratives, written and spoken, are constructed entirely from clichés and mixed metaphors. This work examines processes of signification. It emphasizes disruption and disconnection as fundamental and generative operations in making meaning. Extending on post-structural and deconstructionist ideas, this work questions the relationship between written and spoken words. It upsets the assumed efficacy of metaphors and clichés to question the sites and mechanisms of signification.

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In this video, a couple sits on a couch slowly breaking up. A typical shot/reverse-shot filmic structure is offset as the sound and image goes out of synch. At different times, it becomes so out of synch that they mouth each other’s words. This work engages with the signifying processes of romantic narratives. It emphasizes disruption and discontinuity as fundamental and generative operations in making meaning. Extending on post-structural and deconstructionist ideas, this work emphasizes the constructed nature of representations of heterosexual relationships. It draws attention to the gaps, slippages and fragments that pervade signifying acts.

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In this video, text sourced from dream description websites is combined into a narrative. The words floating against an animated cloud background are set to a stock music track. This work examines the nature of consciousness and identity in a contemporary context. It mixes the languages of dream description and cinematic narrative. By extending on some of Nicolas Bourriaud’s ideas around “postproduction” and the creative and critical strategies of ‘editing’, this work draws attention to the ways popular culture and private anxieties continually mix together in our experiences of lived and imagined realities.

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True stress-strain curve of railhead steel is required to investigate the behaviour of railhead under wheel loading through elasto-plastic Finite Element (FE) analysis. To reduce the rate of wear, the railhead material is hardened through annealing and quenching. The Australian standard rail sections are not fully hardened and hence suffer from non-uniform distribution of the material property; usage of average properties in the FE modelling can potentially induce error in the predicted plastic strains. Coupons obtained at varying depths of the railhead were, therefore, tested under axial tension and the strains were measured using strain gauges as well as an image analysis technique, known as the Particle Image Velocimetry (PIV). The head hardened steel exhibit existence of three distinct zones of yield strength; the yield strength as the ratio of the average yield strength provided in the standard (σyr=780MPa) and the corresponding depth as the ratio of the head hardened zone along the axis of symmetry are as follows: (1.17 σyr, 20%), (1.06 σyr, 20%- 80%) and (0.71 σyr, > 80%). The stress-strain curves exhibit limited plastic zone with fracture occurring at strain less than 0.1.

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Many user studies in Web information searching have found the significant effect of task types on search strategies. However, little attention was given to Web image searching strategies, especially the query reformulation activity despite that this is a crucial part in Web image searching. In this study, we investigated the effects of topic domains and task types on user’s image searching behavior and query reformulation strategies. Some significant differences in user’s tasks specificity and initial concepts were identified among the task domains. Task types are also found to influence participant’s result reviewing behavior and query reformulation strategies.

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In most of the digital image watermarking schemes, it becomes a common practice to address security in terms of robustness, which is basically a norm in cryptography. Such consideration in developing and evaluation of a watermarking scheme may severely affect the performance and render the scheme ultimately unusable. This paper provides an explicit theoretical analysis towards watermarking security and robustness in figuring out the exact problem status from the literature. With the necessary hypotheses and analyses from technical perspective, we demonstrate the fundamental realization of the problem. Finally, some necessary recommendations are made for complete assessment of watermarking security and robustness.

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This volume represents the proceedings of the 13th ENTER conference, held at Lausanne, Switzerland during 2006. The conference brought together academics and practitioners across four tracks, which were eSolutions, refereed research papers, work-in-progress papers, and a Ph.D. workshop. This proceedings contains 40 refereed papers, which is less than the 51 papers presented in 2005. However, the editors advise that the scientific committee was stricter than in previous years, to the extent that the acceptance rate was 50%. A significant change in the current proceedings is the inclusion of extended abstracts of the 23 work-in-progress presentations. The papers cover a diverse range of topics across 16 research streams. This reviewer has adopted the approach of succinctly summarising the contribution of each of the 40-refereed papers, in the order in which they appear...

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It has been over 50 years since the topic of branding first appeared in the marketing literature. Research relating to destination branding has however emerged only since the late 1990s, with the first journal article published in 1998 (see Pritchard & Morgan, 1998) and the first book published in 2002 (see Morgan, Pritchard, & Pride, 2002). While a growing number of academic tourism conferences have focused on ‘destination marketing’ as a theme during the past decade (for a list of proceedings see Pike, 2004), Gnoth (1998) claimed the special track he convened at the 1997 American Marketing Science conference, represented the first meeting of practitioners and academics on the topic of destination branding. The initiative of Macau's Instituto De Formacao Turistica (IFT), in conjunction with Perdue University, to convene the first conference on destination branding, was thus new territory and a test of academic interest in the topic. Ultimately the decision was justified with around 100 delegates from 22 countries, including destination branding pioneers Pritchard & Morgan, travelling to the inaugural meeting...

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We address the problem of face recognition on video by employing the recently proposed probabilistic linear discrimi-nant analysis (PLDA). The PLDA has been shown to be robust against pose and expression in image-based face recognition. In this research, the method is extended and applied to video where image set to image set matching is performed. We investigate two approaches of computing similarities between image sets using the PLDA: the closest pair approach and the holistic sets approach. To better model face appearances in video, we also propose the heteroscedastic version of the PLDA which learns the within-class covariance of each individual separately. Our experi-ments on the VidTIMIT and Honda datasets show that the combination of the heteroscedastic PLDA and the closest pair approach achieves the best performance.

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Customer relationship marketing (CRM) initiatives are increasingly being adopted by businesses in the attempt to enhance brand loyalty and stimulate repeat purchases. The purpose of this study was to examine the extent to which destination marketing organisations (DMOs) around the world have developed a visitor relationship marketing (VRM) orientation. The proposition underpinning the study is that maintaining meaningful dialogue with previous visitors in some markets would represent a more efficient use of resources than above the line advertising to attract new visitors. Importance-performance analysis was utilised to measure destination marketers’ perceptions of the efficacy of CRM initiatives, and then rate their own organisation’s performance across the same range of initiatives. A key finding was that mean importance was higher than perceived performance for every item. While the small sample limits generalisability, in general there are appears to be a lack of strategic intent by DMOs to invest in VRM.

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While researchers strive to improve automatic face recognition performance, the relationship between image resolution and face recognition performance has not received much attention. This relationship is examined systematically and a framework is developed such that results from super-resolution techniques can be compared. Three super-resolution techniques are compared with the Eigenface and Elastic Bunch Graph Matching face recognition engines. Parameter ranges over which these techniques provide better recognition performance than interpolated images is determined.

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Affine covariant local image features are a powerful tool for many applications, including matching and calibrating wide baseline images. Local feature extractors that use a saliency map to locate features require adaptation processes in order to extract affine covariant features. The most effective extractors make use of the second moment matrix (SMM) to iteratively estimate the affine shape of local image regions. This paper shows that the Hessian matrix can be used to estimate local affine shape in a similar fashion to the SMM. The Hessian matrix requires significantly less computation effort than the SMM, allowing more efficient affine adaptation. Experimental results indicate that using the Hessian matrix in conjunction with a feature extractor that selects features in regions with high second order gradients delivers equivalent quality correspondences in less than 17% of the processing time, compared to the same extractor using the SMM.

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This paper presents an image-based visual servoing system that was used to track the atmospheric Earth re-entry of Hayabusa. The primary aim of this ground based tracking platform was to record the emission spectrum radiating from the superheated gas of the shock layer and the surface of the heat shield during re-entry. To the author's knowledge, this is the first time that a visual servoing system has successfully tracked a super-orbital re-entry of a spacecraft and recorded its pectral signature. Furthermore, we improved the system by including a simplified dynamic model for feed-forward control and demonstrate improved tracking performance on the International Space Station (ISS). We present comparisons between simulation and experimental results on different target trajectories including tracking results from Hayabusa and ISS. The required performance for tracking both spacecraft is demanding when combined with a narrow field of view (FOV). We also briefly discuss the preliminary results obtained from the spectroscopy of the Hayabusa's heat shield during re-entry.