This paper reports on the evaluation of a digitally-augmented exhibition on the history of modern media and our experiences with the methodic approach employed. As a central element of this exhibition visitors can buy...
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ISBN:
(纸本)1595934731
This paper reports on the evaluation of a digitally-augmented exhibition on the history of modern media and our experiences with the methodic approach employed. As a central element of this exhibition visitors can buy a smartcard that enables them to store collected or self-created data in a 'digital backpack', which can be accessed via internet as a personalized souvenir. We have evaluated the exhibition, visitors' perceptions and usage of the card using a multi-method strategy complementing quantitative data-analysis with qualitative, ethnographic methods. This paper focuses on visitors' use and the perceived utility of the smartcard, and our experiences with using automatically generated data from interaction logfiles for analyzing visitor behavior, and with the multi-method strategy. Copyright 2006 ACM.
This paper discusses two applications of probing dense volumetric data for MR orthopedics and dynamic contrast enhanced MRI mammography. In order not to reduce the context information and to extract the essential part...
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We present an interactive graphical approach for the explicit specification of semantics for volume visualization. This explicit and graphical specification of semantics for volumetric features allows us to visually a...
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Medical imaging is an important tool for the diagnosis and the evaluation of an aortic dissection (AD);a serious condition of the aorta, which could lead to a life-threatening aortic rupture. AD patients need life-lon...
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Many optimization problems on weighted graphs seek a subset of the graph's edges that has minimum weight and satisfies the problem's constraints. Two examples are the traveling salesman problem (TSP) and the d...
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Segmentation is a key step in analyzing and processing medical images. Due to the low fault tolerance in medical imaging, manual segmentation remains the de facto standard in this domain. Besides, efforts to automate ...
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computer-assisted surgery is a trending topic in research, with many different approaches which aim at supporting surgeons in the operating room. Existing surgical planning and navigation solutions are often considere...
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Dense clinical data like 3D Computed Tomography (CT) scans can be visualized together with real-time imaging for a number of medical intervention applications. However, it is difficult to provide a fused visualization...
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Music information retrieval (MIR) is small, but fast growing discipline. It aims at extraction of relevant information from music in order to improve the work with multimedia information systems. A popular approach in...
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ISBN:
(纸本)9788001054826
Music information retrieval (MIR) is small, but fast growing discipline. It aims at extraction of relevant information from music in order to improve the work with multimedia information systems. A popular approach in MIR is to apply signal processing techniques to extract low-level features from a musical piece. However, in order to create helpful applications, high-level concepts, such as music harmony, need to be examined as well. In this paper, we present a new model for understanding music harmony in computer systems. The proposed model takes the challenge of filling the gap between music theory and mathematical structures. Inspired by the computational complexity, we then derive a new term, harmonic complexity, that can be evaluated for a musical piece, and we test it on a genre classification problem.
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