978 resultados para computer art


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United States copyright law -- two streams of computer copyright cases form basis for 'look and feel' litigation, literary work stream and audiovisual work stream -- literary work stream focuses on structure -- audiovisual work steam addresses appearance -- case studies

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As the current computing systems move from desktop and work settings into our everyday lives (e.g. mobile and ubiquitous systems) a growing interest is seen for designing interactive systems with experiential support. Some conceptual work already exists that tries to analyze and understand users? experience with interactive systems but in practice this is still not frequently used. Drawing on the concepts from the domain of art, this paper introduces a way to conceptualize users? experience as the meanings or interpretations they construct during their interaction with or through the interactive systems. We consequently apply this conceptualization in a design project where we use it at an early concept design stage for designing aware technologies in care-taking situations.

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This paper reports a qualitative study of evaluating the ?experience? supported by a state-of-the-art interactive television application. Internet Protocol Television (IPTV) system is a new technology in the ever-growing industry of interactive entertainment. Focusing on the users? interpretations, we applied a set of rich evaluation strategies to collect data about users? experiences with the IPTV. The results show implications about how the users constructed complex and reflective understandings about the system. The evaluation suite helped us gather information about users? aspirations, expectations, and intellectual and emotional states of their understandings. The results also imply a strong support for taking into account the non-technical values of human-technology interaction.

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In this paper we reflect on our experiences in developing PANORAMA, a playful application meant to promote and support social awareness in a work environment, through art-inspired visualisations of social processes and personal contributions. With respect to the design of PANORAMA, we found common notions of visual semiotics helpful in determining the overall composition of the screen layout. More in general, however, the development of PANORAMA proved to be an exercise in interaction aesthetics, which as we will argue in this paper may greatly benefit from common notions in interactive video game play. In this paper we will only briefly discuss technical and deployment issues, since our main contribution here is to establish the relation between the aesthetics of interaction and game play.

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In most art exhibitions, the creative part of the exhibition is assumed to be the artworks on display. But for the Capricornia Arts Mob’s first collective art exhibition in Rockhampton during NAIDOC Week in 2012, the process of developing the exhibition became the focus of creative action learning and action research. In working together to produce a multi-media exhibition, we learned about the collaborative processes and time required to develop a combined exhibition. We applied Indigenous ways of working – including yarning, cultural respect, cultural protocols, mentoring young people, providing a culturally safe working environment and sharing both time and food – to develop our first collective art exhibition. We developed a process that allowed us to ask deep questions, engage in a joint journey of learning, and develop our collective story. This paper explores the processes that the Capricornia Arts Mob used to develop the exhibition for NAIDOC 2012.

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This practice-led research project explores the possibilities for restaging and reconfiguring contemporary art installations in multiple and different locations. By exploring ideas and art that demonstrate a kaleidoscopic approach to creative practice, this project examines how analysing artists' particular processes can achieve new understandings and experiences of installation art. This project achieves this through reflection on, and analysis of creative works made throughout the research, and a critical examination of contemporary art practices.

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A robust visual tracking system requires an object appearance model that is able to handle occlusion, pose, and illumination variations in the video stream. This can be difficult to accomplish when the model is trained using only a single image. In this paper, we first propose a tracking approach based on affine subspaces (constructed from several images) which are able to accommodate the abovementioned variations. We use affine subspaces not only to represent the object, but also the candidate areas that the object may occupy. We furthermore propose a novel approach to measure affine subspace-to-subspace distance via the use of non-Euclidean geometry of Grassmann manifolds. The tracking problem is then considered as an inference task in a Markov Chain Monte Carlo framework via particle filtering. Quantitative evaluation on challenging video sequences indicates that the proposed approach obtains considerably better performance than several recent state-of-the-art methods such as Tracking-Learning-Detection and MILtrack.

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We present a novel approach to video summarisation that makes use of a Bag-of-visual-Textures (BoT) approach. Two systems are proposed, one based solely on the BoT approach and another which exploits both colour information and BoT features. On 50 short-term videos from the Open Video Project we show that our BoT and fusion systems both achieve state-of-the-art performance, obtaining an average F-measure of 0.83 and 0.86 respectively, a relative improvement of 9% and 13% when compared to the previous state-of-the-art. When applied to a new underwater surveillance dataset containing 33 long-term videos, the proposed system reduces the amount of footage by a factor of 27, with only minor degradation in the information content. This order of magnitude reduction in video data represents significant savings in terms of time and potential labour cost when manually reviewing such footage.

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Recent advances in computer vision and machine learning suggest that a wide range of problems can be addressed more appropriately by considering non-Euclidean geometry. In this paper we explore sparse dictionary learning over the space of linear subspaces, which form Riemannian structures known as Grassmann manifolds. To this end, we propose to embed Grassmann manifolds into the space of symmetric matrices by an isometric mapping, which enables us to devise a closed-form solution for updating a Grassmann dictionary, atom by atom. Furthermore, to handle non-linearity in data, we propose a kernelised version of the dictionary learning algorithm. Experiments on several classification tasks (face recognition, action recognition, dynamic texture classification) show that the proposed approach achieves considerable improvements in discrimination accuracy, in comparison to state-of-the-art methods such as kernelised Affine Hull Method and graph-embedding Grassmann discriminant analysis.

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Purpose The purpose of this study was to evaluate the validity of the CSA activity monitor as a measure of children's physical activity using energy expenditure (EE) as a criterion measure. Methods Thirty subjects aged 10 to 14 performed three 5-min treadmill bouts at 3, 4, and 6 mph, respectively. While on the treadmill, subjects wore CSA (WAM 7164) activity monitors on the right and left hips. (V) over dot O-2 was monitored continuously by an automated system. EE was determined by multiplying the average (V) over dot O-2 by the caloric equivalent of the mean respiratory exchange ratio. Results Repeated measures ANOVA indicated that both CSA monitors were sensitive to changes in treadmill speed. Mean activity counts from each CSA unit were not significantly different and the intraclass reliability coefficient for the two CSA units across all speeds was 0.87. Activity counts from both CSA units were strongly correlated with EE (r = 0.86 and 0.87, P < 0.001). An EE prediction equation was developed from 20 randomly selected subjects and cross-validated on the remaining 10. The equation predicted mean EE within 0.01 kcal.min(-1). The correlation between actual and predicted values was 0.93 (P < 0.01) and the SEE was 0.93 kcal.min(-1). Conclusion These data indicate that the CSA monitor is a valid and reliable tool for quantifying treadmill walking and running in children.

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Research background Art of Sleeping’s “Like a Thief” is an EP of popular music produced at Airlock studios and released in 2012 by the record label Dew Process. “Like a Thief” contributes to studies in the field of music production, as well as furthering research into the role of of national radio play in the development of emerging musicians and artists. Using Australian bands such as Boy and Bear as a reference point, the EP showcases the vocal range of Caleb Hodges and investigates possibilities in extending the modes of musicality possible within the recording studio through use of multiple layering of processed keyboards and electric guitar. Scholars such as Ben Eltham and journalists such as Everett True have written about the importance of the support of Australia’s national youth broadcaster Triple J in the early stages of a band’s development. The approach of the production of the EP was conceived with this agenda in mind, and asked, what can we learn about the relationships between popular music production, distribution and consumption, and the role that national public radio has come to play in the Australian context? Research contribution This project has identified that certain avenues of the music industry continue to aligned with Triple J airplay, that these avenues play an important role in the level of success that artists are likely to achieve, and that targeted understanding of music production techniques and aesthetics may contribute to success in this regard. Research significance The EP’s two singles were both in the top 100 most frequently played tracks on Triple J in 2012, and the band were able to leverage this exposure in securing a record deal with Dew Process, along with being selected as part of the competitive peer review process for festival performances such as Splendour in the Grass. The work received positive peer reviews, with indieshuffle writing: “Brisbane's Art of Sleeping are a truly talented band. … the five-piece gained plenty of local attention earlier this year with their stunning single "Empty Hands.” This was the first single off their new EP, Like a Thief, which was produced by the renowned Yanto Browning (The Medics, The Jungle Giants) … The EP includes five tracks of incredible power and sentiment … Title track "Like a Thief” is … [a] standout, again a vast and expansive song which showcases the band's completeness”

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To date, a wide range of methods has been used to measure physical activity in children and adolescents. These include self-report methods such as questionnaires, activity logs, and diaries as well as objective measures of physical activity such as direct observation, doubly labeled water, heart rate monitoring, accelerometers, and pedometers. The purpose of this review is to overview the methods currently being used to measure physical activity in children and adolescents. For each measurement approach, new developments and/or innovations are identified and discussed. Particular attention is given to the use of accelerometers and the calibration of accelerometer output to units of energy expenditure to developing children.

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The top-k retrieval problem aims to find the optimal set of k documents from a number of relevant documents given the user’s query. The key issue is to balance the relevance and diversity of the top-k search results. In this paper, we address this problem using Facility Location Analysis taken from Operations Research, where the locations of facilities are optimally chosen according to some criteria. We show how this analysis technique is a generalization of state-of-the-art retrieval models for diversification (such as the Modern Portfolio Theory for Information Retrieval), which treat the top-k search results like “obnoxious facilities” that should be dispersed as far as possible from each other. However, Facility Location Analysis suggests that the top-k search results could be treated like “desirable facilities” to be placed as close as possible to their customers. This leads to a new top-k retrieval model where the best representatives of the relevant documents are selected. In a series of experiments conducted on two TREC diversity collections, we show that significant improvements can be made over the current state-of-the-art through this alternative treatment of the top-k retrieval problem.