3D Object Retrieval is an important field of research with many application possibilities. One of the main goals in this research is the development of discriminative methods for similarity search. The descriptor-base...
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In this work a novel method for the characterization of porosity in carbon fiber reinforced polymers (CFRP) is presented. A visualization pipeline for the interactive exploration and visual analysis of CFRP specimens ...
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VAST 2012 Mini Challenge 1 Award: Outstanding integrated analysis and visualization. We present a visual analytics system SemanticPrism, which aims to analyze large-scale high-dimensional datasets containing logs of a...
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VAST 2012 Mini Challenge 1 Award: Outstanding integrated analysis and visualization. We present a visual analytics system SemanticPrism, which aims to analyze large-scale high-dimensional datasets containing logs of a million computers. SemanticPrism visualizes the data from three different perspectives: geo-temporal, time series curve, and pixel visualization. With each perspective, we use semantic zooming to present more detailed information.
Functional brain connectivity from fMRI studies has become an important tool in studying functional interactions in the human brain as a complex network. Most recently, research has started focusing on whole brain fun...
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Augmented Reality systems that run interactively and in real time, using high quality graphical displays and sensational cues, can create the illusion of virtual objects appearing to be real. This paper presents the d...
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Online mapping, miniaturization of computing devices, the "cloud", Global Navigation Satellite System (GNSS) and cell tower triangulation all coalesce into an entirely novel infrastructure for numerous innov...
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Online mapping, miniaturization of computing devices, the "cloud", Global Navigation Satellite System (GNSS) and cell tower triangulation all coalesce into an entirely novel infrastructure for numerous innovative map applications. This impacts the planning of human activities, navigating and tracking these activities as they occur, and finally documenting their outcome for either a single user or a network of connected users in a larger context. In this paper, we provide an example of a simple geospatial application making use of this model, which we will use to explain the basic steps necessary to deploy an application involving a web service hosting geospatial information and a client software consuming the web service through an API. The application allows an insurance claim specialist to add claims to a cloud-based database including a claim location. A field agent then uses a smartphone application to query the database by proximity, and heads out to capture photographs as supporting documentation for the claim. Once the photos have been uploaded to the web service, a second web service for image matching is called in order to try and match the current photograph to previously submitted assets. Image matching is used as a pre-verification step to determine whether the coverage of the respective object is sufficient for the claim specialist to process the claim. The development of the application was based on Microsoft's® Bing Maps™, Windows Phone™, Silverlight™, Windows Azure™ and Visual Studio™, and was completed in approximately 30 labour hours split among two developers.
The present work evaluates four medical image retrieval approaches based on features derived from image miniatures. We argue that due to the restricted domain of medical image data, the standardized acquisition protoc...
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Accurate visualizations of complex vascular structures are essential for medical applications, such as diagnosis, therapy planning and medical education. Vascular trees are usually described using centerlines, since t...
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A novel speech enhancement method based on generalized sidelobe canceller (GSC) and auditory properties is presented. We show that it is possible to reduce audible speech distortions and preserve residual noise level ...
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ISBN:
(纸本)9781467310680
A novel speech enhancement method based on generalized sidelobe canceller (GSC) and auditory properties is presented. We show that it is possible to reduce audible speech distortions and preserve residual noise level under system model uncertainties. It can be done by constraining a speech leakage power according to masking effect phenomena. An optimal noise cancellation filter is derived using constrained minimization of the residual noise power. We implemented the GSC structure using a simple delay-and-sum beamformer and corresponding (delays-dependent) blocking matrix. Finally a comparative evaluation of the selected methods is performed using objective speech quality measures. The results show that the novel method outperforms conventional one providing lower speech distortions and comparable noise attenuation.
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