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2014 International Conference on Orange Technologies最新文献

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An MCD-based local ACE algorithm for hyperspectral imagery target detection 一种基于mcd的局部ACE算法用于高光谱图像目标检测
Pub Date : 2014-11-20 DOI: 10.1109/ICOT.2014.6954667
Hangqi Yan, Yanning Zhang, Wei Wei, Lei Zhang, Fei Li, Bobo Wang
Unstructured detectors such as KGLRT, ACE and AMF are widely applied for target detection in hyperspectral imagery (HSI). However, conventional global and local approaches construct background model without considering the contamination caused by anomalies and suspected targets. This paper proposes a local ACE algorithm based on the minimum covariance determinant (MCD) estimator. In the proposed algorithm, a spectral angle based clustering method is applied to the whitened hyperspectral data to form several disjoint clusters over the whole image. Then for each cluster, the robust estimations of its background statistics are obtained using the MCD estimator. Finally, the ACE detector is applied to each pixel utilizing the robust background statistics of the cluster. With experimental results on two different real datasets, the superiority of the proposed algorithm is demonstrated.
KGLRT、ACE和AMF等非结构化探测器在高光谱成像(HSI)中被广泛应用于目标检测。然而,传统的全局和局部方法在构建背景模型时没有考虑异常和可疑目标造成的污染。提出了一种基于最小协方差行列式(MCD)估计量的局部ACE算法。该算法采用基于光谱角的聚类方法对白化后的高光谱数据进行聚类,在整幅图像上形成多个不相交的聚类。然后利用MCD估计器对每个聚类的背景统计量进行鲁棒估计。最后,利用集群的鲁棒背景统计量将ACE检测器应用于每个像素。在两个不同的真实数据集上进行了实验,验证了该算法的优越性。
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引用次数: 4
Robust point correspondence by improved proximity matrix 改进邻近矩阵的鲁棒点对应
Pub Date : 2014-11-20 DOI: 10.1109/ICOT.2014.6954668
Sicong Yue, Qingsong Song, Weidong Qu
This paper proposed a new improved singular value decomposition method to achieve high accuracy and much more number of correct point correspondences between uncalibrated images with large scene variations. The proposed matching method is based on singular value decomposition and Sift feature descriptor. The proximity matrix for decomposition is redefined to improve the performance of robustness and reliability. Firstly the distance of Sift descriptors is introduced in the proximity matrix to replace spatial distance. Furthermore illumination invariant normalized cross correlation, that simultaneously includes scale and dominant orientation of the feature points, is used as similarity measure to strengthen proximity matrix. Thus, the element in proximity matrix is invariant to scale, rotation, and light changes. Experimental results show that the improved method can be used for point correspondence with severe wide baseline variations and provide evidence of better performance with respect to other popular algorithms.
本文提出了一种新的改进奇异值分解方法,在场景变化较大的未标定图像之间实现更高的精度和更多的正确点对应。提出了一种基于奇异值分解和Sift特征描述符的匹配方法。为了提高分解的鲁棒性和可靠性,重新定义了分解的邻近矩阵。首先在接近矩阵中引入Sift描述子的距离来代替空间距离;在此基础上,采用光照不变归一化互相关(同时包含特征点的尺度和优势方向)作为相似度度量来增强接近矩阵。因此,邻近矩阵中的元素不受缩放、旋转和光线变化的影响。实验结果表明,改进后的方法可以用于具有较大基线变化的点对应,并且相对于其他常用算法具有更好的性能。
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引用次数: 0
Real time super resolution reconstruction for video stream based on GPU 基于GPU的视频流实时超分辨率重建
Pub Date : 2014-11-20 DOI: 10.1109/ICOT.2014.6954664
Jie Hu, Hailiang Li, Ying Li
This paper proposes an efficient and structure-based image/video (interframe independent) super resolution (SR) scheme. Image/video SR is currently a very active area of research because it is used in various applications. The basic idea of the proposed scheme is based on the concepts of pattern redundancy and parallel computing. Global and local motions of pixels are well estimated by exploiting the repeated and structured patterns existing in the most nature images. The value of a missing pixel in the desired high resolution image is obtained by calculating the weighted average of the selected pixels according to the estimated motions, which is able to preserve the intrinsic geometric structure of the original low resolution image/video stream. After that, the estimated pixels' values will be re-corrected by using iterative back projection (IBP) approach in which auxiliary high frequency information embedded. The proposed scheme is mainly implemented in parallel programming strategy based on Compute Unified Device Architecture (CUDA), to reconstruct desired high resolution image/video steam from its low resolution counterparts. Experimental results show that the proposed method has high performance on both the visual quality and real time processing speed.
提出了一种高效的基于结构的图像/视频(帧间无关)超分辨率(SR)方案。图像/视频SR目前是一个非常活跃的研究领域,因为它被用于各种应用。该方案的基本思想是基于模式冗余和并行计算的概念。通过利用大多数自然图像中存在的重复和结构化模式,可以很好地估计像素的全局和局部运动。根据估计的运动,通过计算所选像素的加权平均,得到期望的高分辨率图像中缺失像素的值,能够保持原始低分辨率图像/视频流的固有几何结构。然后,利用嵌入辅助高频信息的迭代反投影(IBP)方法对估计的像素值进行重新校正。该方案主要通过基于CUDA的并行编程策略实现,从低分辨率图像/视频中重构出所需的高分辨率图像/视频流。实验结果表明,该方法在视觉质量和实时处理速度上都有较高的性能。
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引用次数: 6
A bionic micro sucker actuated by IPMC 由IPMC驱动的仿生微型吸盘
Pub Date : 2014-11-20 DOI: 10.1109/ICOT.2014.6956640
Huashan Feng, Wenhao Dong, N. Chai
A bionic micro sucker was designed in this study based on the analyses of the structure and behavior of leech suckers. This sucker helps micro medical robot to adhere to the inner wall of the gastrointestinal tract and perform long-term test of the peristalsis. It is actuated by petaloid ionic-polymer metal composite (IPMC), and wrapped by innocuous silicone rubber, which makes it like a foveate plate and fit closely on the inner wall of the gastrointestinal tract. The silicone elastomer structure bends when 3-5V direct voltage is applied to the IPMC, and forms a negative pressure by closely contact with the gastrointestinal tract, thus realizing the initiative adsorption that imitates leech suckers. The preliminary experiment showed that this micro sucker is able to bear a load of 200g successfully when it sucks on a glass surface.
在分析水蛭吸盘结构和行为的基础上,设计了一种仿生微型吸盘。这种吸盘可以帮助微型医疗机器人附着在胃肠道内壁上,进行长期的蠕动测试。它由类花瓣离子-聚合物金属复合材料(IPMC)驱动,并由无害的硅橡胶包裹,使其像一个凹形板,紧密贴合在胃肠道内壁上。硅胶弹性体结构在施加3-5V直流电压时发生弯曲,与胃肠道紧密接触形成负压,从而实现模仿水蛭吸盘的主动吸附。初步实验表明,该微型吸盘在玻璃表面吸吮时能够成功承受200g的载荷。
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引用次数: 3
Happy studying by gamificational role playing 通过游戏化角色扮演快乐学习
Pub Date : 2014-11-20 DOI: 10.1109/ICOT.2014.6956601
Tsung-Han Hsieh, H. Huang
In this paper we advocate that improving teaching quality through better course design should be at least the same important as the other components of current Orange Technology. In order to attain this idea, we present a course design which have applied the concept of gamification and practised with role playing. Gamification is applied to a group role playing game to intensified the material students are expected to learn in the course. Comparing the student participating rate of the role playing game over 3 years, this study finds that gamification should be able to increase the willing of students to participate voluntarily in the activities of a course. An informal query upon students who have participated in the gamified course show that gamification can be an efficient tool to deliver strong impressions in student's mindset.
在本文中,我们主张通过更好的课程设计来提高教学质量,至少应该与当前Orange技术的其他组成部分一样重要。为了实现这一理念,我们提出了一种应用游戏化概念并进行角色扮演练习的课程设计。游戏化应用于小组角色扮演游戏,强化学生在课程中所学的内容。通过对比3年来学生角色扮演游戏的参与率,本研究发现游戏化应该能够提高学生自愿参与课程活动的意愿。对参加过游戏化课程的学生的非正式询问表明,游戏化可以成为一种有效的工具,在学生的心态中传递强烈的印象。
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引用次数: 2
A visualization toolkit for online social network propagation and influence analysis with content features 一个可视化工具包,用于在线社交网络传播和具有内容功能的影响分析
Pub Date : 2014-11-20 DOI: 10.1109/ICOT.2014.6956616
Bo Wang, Yingjun Sun, Cheng-Chung Tang, Yang Liu
The propagation and influence is an important problem for online social network. In this paper, we develop a visualization toolkit for online social network propagation and influence analysis and predication which can not only present the main trend of the propagation and influence, but also can present them in multiple views e.g., time and location distribution. Considering the existing works mostly analysis the propagation and influence with the structure of the social network and the features of the individuals, in this paper, we also try to introduce the features of the information content to the problems. The main technologies and implementation results of the toolkit are introduced in this paper.
传播和影响是在线社交网络的一个重要问题。本文开发了一个用于在线社交网络传播和影响力分析预测的可视化工具包,该工具包不仅可以呈现传播和影响力的主要趋势,而且可以从时间和地点分布等多个角度呈现。考虑到已有的研究大多是分析社交网络的传播和影响与社会网络的结构和个体的特征,本文也尝试引入信息内容的特征来解决问题。本文介绍了该工具包的主要技术和实现结果。
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引用次数: 4
Enhancing home area networks to facilitate telehealth services: Test-bed scenario with video-consultation-calls (VCC) 加强家庭区域网络以促进远程保健服务:带有视频咨询电话(VCC)的试验台方案
Pub Date : 2014-11-20 DOI: 10.1109/ICOT.2014.6954671
Mohib A. Shah, Jinman Kim, M. Khadra, D. Feng
Recent years have witnessed rapid development of Telehealth applications and the integration of portable devices to facilitate services such as Voice-over-IP (VoIP), Video-over-IP and distribution of other data types e.g., medical images and health sensor data. In line with Telehelath, Home Area Network (HAN) has also seen broad deployments and has expanded conventional households to support latest electronic devices that are equipped with network connectivity. Telehealth applications are starting to be designed to take advantages of the HAN environment and are providing healthcare at the patients home, i.e., facilitates hospital at home via video-consultation-call (VCC). However, some of these Telehealth applications are highly delay sensitive and require higher bandwidth priority and a network load-balancing system in order to produce best quality of service (QoS). We observed that typical HAN is established without bandwidth priority and network-load-balancing systems. This lack of management causes HAN to produce unacceptable QoS for Telehealth applications. In this scenario, we propose a scheme to enhance HAN while providing better quality of VCC to support Telehealth services. Our scheme controls the Internet traffic within the HAN network infrastructure environment. In our experimental setting, we implemented a real network test-bed based on HAN where two-way Skype VCC was established and the quality of packet-loss was measured. Skype was chosen for its wide availability and support on all types of computing devices (PC, mobile, laptop etc.). Our results indicate that packet-loss fluctuates between ~5-16% when user datagram protocol (UDP) traffic is utilised concurrently by other devices in HAN. It also demonstrated that our scheme could enhance HAN performance for VCC as it reduced packet-loss down to ~0.3 %.
近年来,远程保健应用和便携式设备的集成迅速发展,以促进诸如ip语音(VoIP)、ip视频等服务以及诸如医疗图像和健康传感器数据等其他数据类型的分发。与Telehelath一致,家庭区域网络(HAN)也得到了广泛的部署,并扩展了传统家庭,以支持配备网络连接的最新电子设备。正在开始设计远程保健应用程序,以利用HAN环境,并在患者家中提供保健服务,即通过视频咨询电话(VCC)为家庭医院提供便利。然而,其中一些远程医疗应用对延迟高度敏感,需要更高的带宽优先级和网络负载平衡系统,以产生最佳的服务质量(QoS)。我们观察到,典型的HAN是在没有带宽优先级和网络负载平衡系统的情况下建立的。这种管理的缺乏导致HAN为远程医疗应用程序产生不可接受的QoS。在这种情况下,我们提出了一种方案来增强HAN,同时提供更高质量的VCC来支持远程医疗服务。我们的方案控制HAN网络基础设施环境中的Internet流量。在我们的实验环境中,我们实现了一个基于HAN的真实网络测试平台,建立了双向Skype VCC并测量了丢包质量。选择Skype是因为其广泛的可用性和对所有类型的计算设备(PC,手机,笔记本电脑等)的支持。我们的研究结果表明,当用户数据报协议(UDP)流量在HAN中被其他设备同时使用时,丢包率在~5-16%之间波动。实验还表明,我们的方案可以提高VCC的HAN性能,将丢包率降低到~ 0.3%。
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引用次数: 3
Development and evaluated for intracranial aneurysm imaging reconstruction algorithms by 320 Slice Dynamic Volume CT 320层动态体积CT颅内动脉瘤成像重建算法的发展与评价
Pub Date : 2014-11-20 DOI: 10.1109/ICOT.2014.6956613
Hua Cao, Jiazhong Chen, Jiayi Cao
320 Slice Dynamic Volume CT provides intracranial aneurysm patients with 4D digital subtraction angiography (DSA) imaging and the Key technology of which are the wide detection platform and ConeXact Cone-beam reconstruction algorithm. In this thesis, some familiar cone-beam scan reconstruction algorithms are analyzed and compared, especially those algorithms currently developed such as Feldkamp-type, Grangeant, Katsevich and ConeXact cone-beam reconstruction algorithm. In clinical applications, thirty-four aneurysm patients have through the dynamic volume scan with wide detection platform by TOSHIBA 320 Slice CT and obtained fine single-pass imaging results all of which had no phase artifacts. The quality of scanning images were evaluated and compared with computed tomography angiography (CTA) and convention cerebral vascular DSA angiography. Comparative analysis shows that the 320 slice CT has great advantages in dynamic volume function imaging compared to CTA and it is of a great value to screen out patients with susceptible intracranial aneurysm from the following re-examination after the surgery for the patients with aneurysm.
320层动态体积CT为颅内动脉瘤患者提供4D数字减影血管造影(DSA)成像,其关键技术是宽检测平台和ConeXact锥束重建算法。本文对常用的锥束扫描重建算法进行了分析和比较,特别是目前发展起来的Feldkamp-type、Grangeant、Katsevich和ConeXact锥束重建算法。在临床应用中,34例动脉瘤患者通过东芝320层CT宽检测平台的动态容积扫描,获得了良好的单次成像结果,均无相位伪影。评估扫描图像的质量,并与CTA和常规脑血管DSA血管造影进行比较。对比分析表明,320层CT在动态体积功能成像方面相对于CTA具有很大优势,对于动脉瘤患者术后复查筛选出易感颅内动脉瘤患者具有重要价值。
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引用次数: 0
Towards realizing gesture-to-speech conversion with a HMM-based bilingual speech synthesis system 基于hmm的双语语音合成系统实现手势到语音的转换
Pub Date : 2014-11-20 DOI: 10.1109/ICOT.2014.6956608
Hongwu Yang, Xiaochun An, Dong Pei, Yitong Liu
This paper realizes a gesture-to-speech conversion system to solve the communication problem between healthy people and speech disorders. An improved speeded up robust features (SURF) algorithm is adopted for static gesture recognition by combining Kinect sensor. Meanwhile, a Hidden Markov Model (HMM) based Mandarin-Tibetan bilingual speech synthesis system is developed by using speaker adaptive training. A set of semantic rules is designed for the static gestures. Chinese or Tibetan context-dependent labels of recognized static gestures are generated according to the semantic rules. The recognized gestures are finally converted to the Mandarin or Tibetan by using the Mandarin-Tibetan bilingual speech synthesis system with the context-dependent labels. Tests show that the static gesture recognition rate of the designed system achieves 97.1%. Subjective evaluation demonstrates that synthesized speech can get 4.0 of the mean opinion score (MOS) on synthesized speech.
本文实现了一种手势语言转换系统,解决了健康人与语言障碍者之间的交流问题。结合Kinect传感器,采用改进的加速鲁棒特征(SURF)算法进行静态手势识别。同时,利用说话人自适应训练,开发了基于隐马尔可夫模型的汉藏双语语音合成系统。为静态手势设计了一套语义规则。根据语义规则生成识别静态手势的中文或藏文上下文相关标签。利用基于语境标签的汉藏双语语音合成系统,将识别出的手势转换为汉语或藏语。测试表明,所设计系统的静态手势识别率达到97.1%。主观评价表明,合成语音的平均意见得分(MOS)达到4.0分。
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引用次数: 9
Kernel sparse NMF for hyperspectral unmixing 核稀疏NMF用于高光谱解混
Pub Date : 2014-11-20 DOI: 10.1109/ICOT.2014.6954672
Bei Fang, Ying Li, Peng Zhang, Bendu Bai
Spectral unmixing is one of the most challenging and fundamental problems in hyperspectral imagery. In this paper, we address a hyperspectral imagery unmixing problem by introducing sparse nonnegative matrix factorization unmixing algorithms into kernel space. Many sparse nonnegative matrix factorization algorithms has been recently applied to solve the hyperspectral unmixing problem because it overcome the difficulty of absence of pure pixels and sufficiently utilize the sparse characteristic of the data. Most existing sparse nonnegative matrix factorization algorithms for unmixing are based on the linear mixing models. In fact, hyperspectral data are more likely to lie on nonlinear model space. Motivated by the fact that kernel trick can capture the nonlinear structure of data during the decomposition, we propose a new hyperspectral imagery unmixing algorithm by introducing sparse nonnegative matrix factorization unmixing algorithms into kernel space in this paper. Experimental results based on synthetic hyperspectral data show the superiority of the proposed algorithm with respect to other state-of-the-art approaches.
光谱解混是高光谱成像中最具挑战性和最基本的问题之一。本文通过在核空间中引入稀疏非负矩阵分解解混算法来解决高光谱图像解混问题。许多稀疏非负矩阵分解算法克服了纯像元缺乏的困难,充分利用了数据的稀疏特性,近年来被应用于高光谱解混问题。现有的稀疏非负矩阵分解算法大多基于线性混合模型。事实上,高光谱数据更有可能存在于非线性模型空间。利用核技巧可以捕捉分解过程中数据的非线性结构,将稀疏非负矩阵分解解调算法引入核空间,提出了一种新的高光谱图像解调算法。基于合成高光谱数据的实验结果表明,该算法相对于其他先进方法具有优越性。
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引用次数: 5
期刊
2014 International Conference on Orange Technologies
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