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A multiview video quality assessment method based on disparity and SSIM 基于视差和SSIM的多视点视频质量评估方法
Pub Date : 2010-12-03 DOI: 10.1109/ICOSP.2010.5655900
Yan Zhang, P. An, Yanfei Wu, Zhaoyang Zhang
With more and more applications of Stereo/multiview video technology, Stereo/multiview video quality assessment is quite needed. In this paper, we have proposed a novel multiview video quality assessment method based on disparity and SSIM. We evaluate video quality from two aspects, stereo perception and image quality. Stereo perception is evaluated by the disparities, and image quality is got by the similarity of every view. The subjective experiments verified the rationality of the presented novel objective method.
随着立体/多视点视频技术的应用越来越多,对立体/多视点视频质量评价的需求越来越大。本文提出了一种基于视差和SSIM的多视点视频质量评价方法。我们从立体感和图像质量两个方面来评价视频质量。通过视差评价立体感知,通过各视点的相似度评价图像质量。主观实验验证了客观方法的合理性。
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引用次数: 8
Spoken language understanding using finite state tagger and long-range dependency parsing 口语理解使用有限状态标注和远程依赖解析
Pub Date : 2010-12-03 DOI: 10.1109/ICOSP.2010.5657129
Weidong Zhou, Baozong Yuan
Spoken language understanding is aimed at the interpretation of signs conveyed by a speech signal. While data-driven methods reduce maintenance and portability costs compared with handcrafted parsers, the collection of word-level semantic annotations for training remains a time-consuming task. This paper has focused on building generative model "Finite State Tagger" from unaligned data, using expectation-maximization techniques to align semantic concepts. Moreover, to model the hierarchical semantic relations in different slot entities, this paper proposed a pipeline architecture using finite state tagger and long-range dependency parsing.
口语理解的目的是对语音信号所传达的符号进行解释。虽然与手工制作的解析器相比,数据驱动的方法减少了维护和可移植性成本,但收集用于训练的词级语义注释仍然是一项耗时的任务。本文着重于从未对齐的数据中构建生成模型“有限状态标注器”,使用期望最大化技术来对齐语义概念。此外,为了对不同槽实体的分层语义关系进行建模,本文提出了一种基于有限状态标注器和远程依赖解析的管道结构。
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引用次数: 0
Multisensor information fusion Wiener filter for ARMA signals ARMA信号的多传感器信息融合维纳滤波
Pub Date : 2010-12-03 DOI: 10.1109/ICOSP.2010.5655210
Li-xin Yang, Z. Deng, Li-Jun Zhang
By the modern time series analysis method and white noise estimators, based on the autoregressive moving average (ARMA) innovation model and augmented state space model, under the linear minimum variance optimal fusion rule weighted by scalars, a multisensor optimal distributed fusion Wiener filter is proposed for single channel ARMA signals with white and colored measurement noises. The formulas of computing local filtering error variances and cross-covariances are given, which are applied to compute optimal weighting coefficients. Compared with the single sensor case, the accuracy of the fused filter is improved. A simulated example shows its effectiveness.
利用现代时间序列分析方法和白噪声估计,基于自回归移动平均(ARMA)创新模型和增广状态空间模型,在标量加权的线性最小方差最优融合规则下,针对含有白噪声和彩色测量噪声的单通道ARMA信号,提出了一种多传感器最优分布式融合维纳滤波器。给出了局部滤波误差方差和交叉协方差的计算公式,用于计算最优加权系数。与单传感器情况相比,该滤波器的精度得到了提高。仿真结果表明了该方法的有效性。
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引用次数: 0
Measuring reflection coefficients of underwater sound material at oblique incidence using broadband acoustic holography 利用宽带声全息测量斜入射水声材料的反射系数
Pub Date : 2010-12-03 DOI: 10.1109/ICOSP.2010.5656672
Shang Jian-hua, Zhang Ming-min, Zhai Qi
A method using broadband acoustic holography has been put forward to determining the reflection coefficients at arbitrary angles of incidence and compared with mono-frequent acoustic holography. The selection principle about every parameter has been deduced by numerical experiments on an aluminum board. Under an average error level of 10%, the radius of holographic plane should be greater than two times of the maximal wavelength, and the interval of two space samples has better to be less than one-third of the minimal wavelength, the height of the first measurement plane should at least be less than two-thirds of the minimal wavelength, the vertical distance between the two measurement planes should at least be less than half of the minimal wavelength, the height of sound source is proposed to be in between one-fifth of the maximal wavelength and four times of the minimal wavelength.
提出了一种利用宽带声全息法测定任意入射角反射系数的方法,并与单频声全息法进行了比较。通过在铝板上的数值实验,推导了各参数的选取原则。在平均误差水平为10%的情况下,全息平面半径应大于最大波长的2倍,两个空间样品之间的间隔最好小于最小波长的1 / 3,第一个测量平面的高度至少小于最小波长的2 / 3,两个测量平面之间的垂直距离至少小于最小波长的1 / 2;声源的高度应在最大波长的五分之一到最小波长的四倍之间。
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引用次数: 1
The algorithm of SAR speckle noise suppressing by using generalized multi-scale CB morphology 基于广义多尺度CB形态学的SAR散斑噪声抑制算法
Pub Date : 2010-12-03 DOI: 10.1109/ICOSP.2010.5655876
Jie Kang, Gang Yang
During forming synthetic aperture radar (SAR) image, the inherent speckle noise severely affects the application result of SAR images. To deal with this problem, based on the contour bougie morphology (CB morphology) and the generalized multiple structuring elements morphology, a novel series morphological filter was constructed to suppress the speckle noise in SAR images. Firstly, by use of the omnidirectional multiple structuring elements the generalized multi-scale morphology open-max filter was adopted to filter the noise at the cost of minimal loss of image geometrical details, and then a CB open and a CB close series filter were used to filter the remained speckle noise. Thus it can not only effectively suppress the speckle noise in images but also preserve more detailed information of the images. Lastly, the simulated SAR images and the actual SAR images are simulated, and the results prove that the algorithm presented in this paper can efficiently suppresses the speckle noise in SAR images.
在合成孔径雷达(SAR)图像形成过程中,固有的散斑噪声严重影响了SAR图像的应用效果。针对这一问题,基于等高线形态(CB形态学)和广义多结构元形态,构建了一种新型的序列形态滤波器来抑制SAR图像中的散斑噪声。首先利用全向多结构元,采用广义多尺度形态开最大滤波器以最小的几何细节损失为代价对噪声进行滤波,然后采用CB开最大和CB闭合串联滤波器对残留的散斑噪声进行滤波。这样既能有效地抑制图像中的散斑噪声,又能保留图像更详细的信息。最后,对模拟的SAR图像和实际的SAR图像进行了仿真,结果表明本文算法能够有效地抑制SAR图像中的散斑噪声。
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引用次数: 4
The phase statistical characteristic of InSAR image at the isolated point 孤立点处InSAR图像的相位统计特性
Pub Date : 2010-12-03 DOI: 10.1109/ICOSP.2010.5655721
Zhu Lingfeng, X. Huaping
Current researches on the phase of interferometric Synthetic Aperture Radar (abbreviated as InSAR) images are restricted to the homogeneous scene with spatially constant backscatter coefficients. But in reality, there are many unknown targets or sealers with high backscatter coefficients in the ground scene, which produce several bright spots (called isolated points) in the SAR image. The phase statistical characteristic of interferogram at the isolated point is not available recently. Based on the InSAR system, the phase distribution characteristic of SAR image at the isolated point is analyzed. Furthermore, the interferometric phase probability density function at the isolated point is deduced and the phase statistical characteristic at the isolated point is analyzed in theory which is confirmed by the simulations. Finally the conclusion is obtained that the existence of isolated point can improve the interferometric phase estimation precision which establishes the theoretic foundation for calibrating the InSAR system with the interferometric phase at the sealer.
目前对干涉型合成孔径雷达(InSAR)图像相位的研究仅限于空间恒定后向散射系数的均匀场景。但在现实中,地面场景中存在许多高后向散射系数的未知目标或封印物,这些目标或封印物会在SAR图像中产生若干亮点(称为孤立点)。干涉图在孤立点处的相位统计特性目前还没有得到。基于InSAR系统,分析了孤立点处SAR图像的相位分布特性。推导了隔离点处干涉相位概率密度函数,并从理论上分析了隔离点处的相位统计特性,仿真结果证实了这一点。最后得出孤立点的存在可以提高干涉相位估计精度的结论,为利用干涉相位标定InSAR系统奠定了理论基础。
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引用次数: 0
Using two methods for recognition common carotid artery of B-mode longitudinal ultrasound image 采用两种方法对颈总动脉的b型纵向超声图像进行识别
Pub Date : 2010-12-03 DOI: 10.1109/ICOSP.2010.5656491
Jun Wan, Q. Ruan, Wei Li
In this paper two novel methods are proposed for recognizing B-mode ultrasound (US) imaging of common carotid artery (CCA) in longitude. In the single frame method, the US is segmented by k-means fuzzy clustering algorithm. Then a series points are extracted based on geometric features. Thirdly, the feature points are selected according to our new cluster method. Then curve fitting is applied by feature points. Finally CCA is recognized in US imaging. According to the experiment on 7402 frames of 104 US videos from different persons, 95.66% accuracy rate is achieved. Based on multi-frame algorithm, it integrates the first algorithm for present frame and a buffer strategy for previous frame information. 98.97% accuracy rate is higher than the single frame method. Our novel technique outperforms the current technique proposed in other papers. The recognition CCA is totally automatic in our database by our proposed methods. Those proposed automatic methods are suitable for real-time recognition of the CCA.
本文提出了在颈总动脉(CCA)经度上识别b超(US)图像的两种新方法。在单帧方法中,采用k-means模糊聚类算法对US进行分割。然后根据几何特征提取一系列点。第三,根据新的聚类方法选择特征点。然后通过特征点进行曲线拟合。最终,CCA在超声成像中得到认可。通过对104个不同人的美国视频的7402帧进行实验,准确率达到95.66%。该算法基于多帧算法,将当前帧的第一帧算法与前一帧信息的缓冲策略相结合。98.97%的准确率高于单帧法。我们的新技术优于其他论文中提出的现有技术。本文提出的方法在数据库中实现了对CCA的自动识别。所提出的自动识别方法适用于CCA的实时识别。
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引用次数: 9
Fractional-order derivative spectroscopy for resolving overlapped Lorenztian peak-signals 用于解析重叠洛伦兹峰信号的分数阶导数光谱
Pub Date : 2010-12-03 DOI: 10.1109/ICOSP.2010.5655138
Yuanlu Li, Li Hu
Fractional-order derivative spectroscopy has been developed to resolve the overlapped Lorentzian peak-signals. Resolutions are directly characterized by spectral paramters extracted from the overlapped peak-signals. For this purpose, using the Haar wavelet as a tool we design a fractional-order differentiator to develop the fractional-order derivative spectroscopy. As the application of the proposed method, simulated overlapped Lorentzian peaks has been resolved. Results indicate the proposed method can be used to resolve overlapped Lorentzian peaks effectively and satisfactorily.
分数阶导数光谱被用来解析重叠的洛伦兹峰信号。分辨率由从重叠峰信号中提取的光谱参数直接表征。为此,我们利用哈尔小波作为工具,设计了分数阶微分器来发展分数阶导数谱。作为该方法的应用,模拟的重叠洛伦兹峰得到了解决。结果表明,该方法可以有效地求解重叠的洛伦兹峰。
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引用次数: 2
An 8×8 FPGA-based MIMO-OFDM real-time transmission testbed: OGNO implementation and experimental results 基于8×8 fpga的MIMO-OFDM实时传输试验台:OGNO实现及实验结果
Pub Date : 2010-12-03 DOI: 10.1109/ICOSP.2010.5656662
Yang Lan, Zhan Zhang, H. Kayama
Hardware testbeds are an essential tool to evaluate the performance of multiple-input multiple-output (MIMO) systems in a realistic environment. However, most of the existing MIMO transmission testbeds have been conducted under less than or equal to four antennas. An 8×8 field programmable gate arrays (FGPA)-based MIMO-orthogonal frequency division multiplexing (OFDM) real-time transmission testbed has been developed by the DOCOMO Beijing Labs (DBL) in a typical indoor environment. Our objective is twofold: 1) to validate the functionality of MIMO and OFDM technologies; 2) meanwhile, to verify our receiver detection algorithm, orthogonal grouping-based near optimal detection algorithm (OGNO), proposed for high order MIMO systems. This paper presents a description of the testbed, detailing the testbed architecture, algorithms interest and hardware components. Moreover, we also present measurement results and show the impact of spatial correlation on system performance.
硬件测试平台是在实际环境中评估多输入多输出(MIMO)系统性能的重要工具。然而,大多数现有的MIMO传输试验台都是在小于或等于4个天线的情况下进行的。基于8×8现场可编程门阵列(FGPA)的mimo -正交频分复用(OFDM)实时传输试验台是DOCOMO北京实验室(DBL)在典型室内环境下开发的。我们的目标是双重的:1)验证MIMO和OFDM技术的功能;2)同时,为了验证我们的接收机检测算法,提出了基于正交分组的高阶MIMO系统近最优检测算法(OGNO)。本文介绍了该试验台的结构、算法和硬件组成。此外,我们还提供了测量结果,并展示了空间相关对系统性能的影响。
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引用次数: 1
A fast variational fusion approach for pan-sharpening 一种快速变分融合泛锐化方法
Pub Date : 2010-12-03 DOI: 10.1109/ICOSP.2010.5655874
Zeming Zhou, Yuanxiang Li, Han-qing Shi, Ning Ma, Chun He, Peng Zhang
A fast variational fusion model based on partial differential equation (PDE) is presented for pan-sharpening. The functional is constructed with several energy terms. The gradient energy term is created by calculating the gradient vector field of the panchromatic image. The visualization energy term is used for improving the perceptual effect and the spectral preserving energy term is designed for enforcing the spectral coherence. The channel correlation energy term and the radiometric reduction energy term are defined to preserve the correlation of multi-spectral channels and decrease the radiometric distortion. Inspired by the shock-filtering model, an inverse diffusion term for image enhancement is put to PDEs which is deduced by minimizing the energy functional. In comparison with the fusion models based on discrete wavelet transform, à trous wavelet transform and the contrast-based PDE, it is shown that our model can improve the spatial resolution of the multi-spectral bands while preserving the spectral quality more effectively. Our model's computational complexity for one time step is only O(N).
提出了一种基于偏微分方程(PDE)的泛锐化快速变分融合模型。泛函由几个能量项构成。梯度能量项是通过计算全色图像的梯度向量场而产生的。利用可视化能量项提高感知效果,设计保谱能量项增强光谱相干性。为了保持多光谱信道的相关性,减小辐射失真,定义了信道相关能项和辐射降维能项。受冲击滤波模型的启发,通过最小化能量泛函推导出偏微分方程的图像增强逆扩散项。通过与基于离散小波变换、离散小波变换和基于对比度的PDE融合模型的比较,表明该模型在提高多光谱波段空间分辨率的同时更有效地保持了光谱质量。我们的模型在一个时间步长的计算复杂度仅为O(N)。
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引用次数: 3
期刊
IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS
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