The paper presents a systematic approach to synthesizing and implementing fast algorithms for computing the DCT of a power-of-two size. The main features of the obtainable algorithms are regularity of their signal flo...
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The paper presents a systematic approach to synthesizing and implementing fast algorithms for computing the DCT of a power-of-two size. The main features of the obtainable algorithms are regularity of their signal flow graphs and low arithmetic complexity. Multiplierless implementation of the algorithms is based on the algebraic integer (AI) technique. A general AI encoding scheme for fast DCT algorithms is presented. The approach is demonstrated by using it to derive an AI-based low-error fast implementation of the 16-point DCT.
There are a lot of image segmentation techniques that try to differentiate between background and object pixels, but many of them fail to discriminate between different objects that are close to each other. Some image...
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There are a lot of image segmentation techniques that try to differentiate between background and object pixels, but many of them fail to discriminate between different objects that are close to each other. Some image characteristics like low contrast between background and foreground or inhomogeneity within the objects increase the difficulty of correctly segmenting images. We designed a new segmentation algorithm based on active contours without edges. We also used other image processing techniques such as nonlinear anisotropic diffusion and adaptive thresholding in order to overcome the images' problems stated above. Our algorithm was tested on very noisy images, and the results were compared to those obtained with known methods, like segmentation using active contours without edges and graph cuts. The new technique led to very good results, but the time complexity was a drawback. However, this drawback was significantly reduced with the use of graphical programming. Our segmentation method has been successfully integrated in a software application whose aim is to segment the bones from CT datasets, extract the femur and produce personalized prostheses in hip arthroplasty.
Medical ultrasound is a challenging modality when it comes to image interpretation. The goal we address in this work is to assist the ultrasound examiner and partially alleviate the burden of interpretation. We propos...
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The paper presents a hearing aid (HA) system based on a low-delay cochlear filter bank derived from the discrete cochlear model. The spectral gain shaping method (SGSM) that includes dynamic range compression, hearing...
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ISBN:
(纸本)9781467310680
The paper presents a hearing aid (HA) system based on a low-delay cochlear filter bank derived from the discrete cochlear model. The spectral gain shaping method (SGSM) that includes dynamic range compression, hearing loss compensation and noise reduction is applied in perceptually matched frequency bands. The acoustic feedback cancellation is implemented as an off-the-forward path scheme and does not introduce an additional delay to the forward path. The cancellation itself is made by adaptive filtering of non-uniform subband signals obtained from an oversampled warped cosine-modulated filter bank.
The paper presents a pitch estimation technique based on the robust algorithm for pitch tracking (RAPT) framework. The proposed solution provides estimation of instantaneous pitch values and is not sensitive to rapid ...
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ISBN:
(纸本)9781467310680
The paper presents a pitch estimation technique based on the robust algorithm for pitch tracking (RAPT) framework. The proposed solution provides estimation of instantaneous pitch values and is not sensitive to rapid frequency modulations. The technique utilizes a different period candidate generating function based on instantaneous harmonic parameters. The function is similar to normalized cross-correlation function, however it represents momentary periodicity with high frequency resolution. The second major revision of RAPT is an additional post-processing procedure that makes estimation values more accurate. The proposed algorithm is compared with other pitch detection algorithms using artificial and natural signals.
Using social media analytics tools, Radian6 and Visible Technologies, Purdue Homeland Security Institute (PHSI) researchers were able to monitor, capture and analyze publicly posted online information pertaining to th...
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Using social media analytics tools, Radian6 and Visible Technologies, Purdue Homeland Security Institute (PHSI) researchers were able to monitor, capture and analyze publicly posted online information pertaining to the Super Bowl XLVI. The study collected and analyzed data regarding the public's perceptions of the Super Bowl XLVI marketing campaign, as well as Indianapolis' hospitality, accommodations, and safety. Data was collected from three different platforms: Facebook, Twitter, and blogs. The results of the study provided insights into public sentiment, public dialogue regarding specific citywide events, and trending social media topics associated with each topic's keyword analysis. In our research we further explored the potential usage and application of social media analytics tools within local government and found that social media analytics can be of great value for the government in both special events and routine activities. Major applications of social media analytics as well as research questions and issues worth exploring in the future, including improving information flow and analytics for routine operations, are discussed.
In recent decades, researchers of archaeological 3D digitalization found that the collection and archive of processing intermediate data are extremely tiresome tasks. They need large of man power and material resource...
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In recent decades, researchers of archaeological 3D digitalization found that the collection and archive of processing intermediate data are extremely tiresome tasks. They need large of man power and material resources, even though, mistakes can be raised and break the whole working chain. The traditional documentation of digitalization process is also a pending challenge, although, the ISO standard CIDOC-CRM (ISO 21127:2006) has been introduced to the archaeologists and museum professionals since years, but there are still some obvious gaps between practice and theory: (1) How to connect the discrete archaeologists, museums, CH research institutions, and the public? (2) How to ensure the integrity of whole digitalization process and simplify the process? (3) How to maximize the usability of the public digital objects in CH community? (4) How to long term preserve the huge amount of datasets? (5) How to present and disseminate the digital object to the public? This paper presents an operational and optimal infrastructure that realizes not only a distributed storage system, but also a content management system. This infrastructure works as a backbone of whole digitalization process, provides a complete solution suite for archaeologists, museum professionals, museum visitors, and IT technicians.
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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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 design and implementation of BurnAR, a demonstration which enables users to experience the illusion of seeing their own hands burning, which we achieve by overlaying virtual flames and smoke on their hands. Surprisingly, some users reported an involuntary warming sensation of their hands.
Augmented Reality (AR) applications on mobile devices like smartphones and tablet computers have become increasingly popular. In this paper, for the first time in the AR domain, we present: (1) the influence of differ...
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Augmented Reality (AR) applications on mobile devices like smartphones and tablet computers have become increasingly popular. In this paper, for the first time in the AR domain, we present: (1) the influence of different handheld displays and (2) the exocentric depth perception. Unlike egocentric depth perception, exocentric depth perception has not been investigated in AR. We have selected a suitable vision-based tracking method for our user studies based on a set of evaluations. Then we have investigated the effect of display size and resolution through two user studies. One study investigated the effect of different displays on egocentric depth perception. The other study investigated the effect of displays on exocentric and ordinal depth perception. Interestingly, we noticed depth compression is less when using a mobile phone, while participants subjectively preferred a tablet. A similar effect was also noticed in exocentric depth perception. The tablet provided significantly better ordinal depth perception and faster response time than the mobile phone. In both of the studies, we found no effect of the AR X-ray visualization on depth perception. Both egocentric and exocentric distances were underestimated.
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