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2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing最新文献

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Acoustic Features and Auditory Impressions of Death Growl and Screaming Voice 死亡咆哮和尖叫声音的声学特征和听觉印象
Keizo Kato, A. Ito
In the contemporary music scene, the death growl and screaming voice are often used in the extreme metal, and have been one of the indispensable singing styles. In this study, we made an attempt to clarify the acoustic feature of the death growl and screaming voice. We chose jitter, shimmer and HNR as the acoustic features, and found that the death growl and screaming voice have much larger jitter and shimmer, lower HNR compared with the normal voice. Next, we investigated the relationship between subjective impression and acoustic feature, and found that the screaming voice has an optimum jitter.
在当代音乐场景中,死亡咆哮和尖叫的声音经常被用于极端金属中,已经成为不可缺少的演唱风格之一。在这项研究中,我们试图澄清死亡咆哮和尖叫声音的声学特征。我们选择抖动、闪烁和HNR作为声学特征,发现死亡咆哮和尖叫的声音比正常声音有更大的抖动和闪烁,HNR更低。接下来,我们研究了主观印象与声学特征之间的关系,发现尖叫声音具有最佳抖动。
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引用次数: 6
Extrapolation of Horizontal Ambisonics Data from Mainstream Stereo Sources 主流立体声源水平立体声数据的外推
J. Treviño, T. Okamoto, Y. Iwaya, Junfeng Li, Yôiti Suzuki
Ambisonics, a sound field reproduction technique, can present spatial audio with high accuracy. However, it has not been widely adopted due to the hardware requirements it imposes. In consequence, very few Ambisonics encoded contents are available. End-users will find it more attractive to invest in Ambisonics systems if they can be made backwards compatible with existing recordings. In this paper, a technique to spatially extrapolate stereo sources for listening using Ambisonics reproduction systems is introduced. The proposed approach makes use of the spatial information already encoded in most modern stereo recordings. This spatial information is usually used to decode multichannel audio signals, such as 5.1 channel surround. Unlike these technologies, the proposal attempts to extract a continuous description of the 360-degrees horizontal sound field which would result in the original stereo recording. The output is encoded using the circular harmonic functions, making it adequate for reproduction using horizontally-distributed loudspeaker arrays.
立体声是一种声场再现技术,能以高精度呈现空间音频。然而,由于它所施加的硬件要求,它并没有被广泛采用。因此,很少有立体声编码的内容可用。如果能够向后兼容现有的录音,终端用户将会发现投资于Ambisonics系统更有吸引力。本文介绍了一种利用立体声系统对立体声音源进行空间外推的技术。所提出的方法利用了大多数现代立体声录音中已经编码的空间信息。该空间信息通常用于解码多声道音频信号,如5.1声道环绕。与这些技术不同的是,该提案试图提取360度水平声场的连续描述,从而产生原始的立体声录音。输出使用循环谐波函数编码,使其足以再现使用水平分布扬声器阵列。
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引用次数: 2
Probabilistic Visual Secret Sharing Scheme Based on Random Grids 基于随机网格的概率可视化秘密共享方案
Peng Li, Q. Kong, Yanpeng Ma
A visual secret sharing (VSS) scheme decodes a secret image into n shares, such that stacking any k (n) or more shares can visually reveal the secret image. Random grid is a novel type of VSS technique with the advantage of no size expansion of shares. In this paper, we integrate the techniques of random grid and probabilistic visual cryptography, and propose a random grid-based probabilistic VSS scheme. Only k out of n shares are generated by random grids, while the other n-k shares are generated by probabilistic visual cryptography technique. The experimental results show that the proposed scheme performs well especially when stacking all shares.
视觉秘密共享(VSS)方案将秘密图像解码为n个共享,这样,堆叠任意k (n)个或更多的共享都可以直观地显示秘密图像。随机网格是一种新型的VSS技术,具有份额不扩大的优点。本文将随机网格和概率视觉密码技术相结合,提出了一种基于随机网格的概率视觉密码方案。n个共享中只有k个是由随机网格生成的,而其他n-k个共享是由概率视觉密码技术生成的。实验结果表明,该方案具有良好的性能,特别是在所有股份叠加的情况下。
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引用次数: 0
A Novel Approach of Extracting Traffic Parameters by Using Video Features 一种利用视频特征提取交通参数的新方法
Yuan Zhang, Ke-bin Jia
Intelligent Transportation System is a worldwide research hotspot and the extraction of traffic parameters is a crucial part of it for subsequent identification of traffic states. This paper proposes a novel approach of extracting traffic parameters such as time occupancy, volume and vehicle velocity based on video images. Visual features obtained from spatio-temporal images are more immune to environmental variations which including illuminations and background. Also binaryzation with Self-adaptive Threshold based on clustering can segment vehicle areas more accurately. With combination of parameters modification, PVI and EPI analysis serve to extract final parameters even when congestion happens. To testify the efficacy of measurement, extracted parameters are input to classifier of Support Vector Machine (SVM) to identify four levels of traffic states, which are fluent, non-congestion, congestion and terrible congestion respectively. Experimental results show that performance can sustain various environmental conditions and the accuracy is robust in heavy traffic states.
智能交通系统是世界范围内的研究热点,交通参数的提取是智能交通系统中交通状态识别的关键环节。提出了一种基于视频图像的交通参数提取方法,包括时间占用、体积和车速等。从时空图像中获得的视觉特征对光照和背景等环境变化具有较强的免疫能力。基于聚类的自适应阈值二值化可以更准确地分割车辆区域。PVI和EPI分析结合参数修改,即使发生拥塞,也可以提取最终参数。为了验证测量的有效性,将提取的参数输入到支持向量机(SVM)的分类器中,分别识别流畅、无拥塞、拥塞和严重拥塞四种级别的交通状态。实验结果表明,该方法能够承受各种环境条件,在繁忙交通状态下具有较强的鲁棒性。
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引用次数: 0
The Study of Android Parallel Programming Based on the Dual-Core Cortex-A9 基于双核Cortex-A9的Android并行编程研究
Chien-Chung Wu, Jyun-Jie Huang
This study is based on the Samsung Exynos 4210 dual-core Cortex-A9 and Android 4.2.1. The performances of the APPs are improved by tuning CPUs' resources allocation and adding parallelism using the OpenMP compiler directives. The Cgroup and Cpuset are used in this paper to manage the CPUs' resources allocation. Besides, the Android's Native Development Kit is modified to support the Android Apps with OpenMP library in this paper. The study takes the Canny edge detection of the OpenCV as an example. The result shows that the processing time of the one picture can be improved from 939ms to 671ms with 28.5% enhancement.
本研究基于三星Exynos 4210双核Cortex-A9和Android 4.2.1。通过调整cpu的资源分配和使用OpenMP编译器指令增加并行性,可以提高应用程序的性能。本文使用Cgroup和Cpuset来管理cpu的资源分配。此外,本文还对Android的Native Development Kit进行了修改,使其支持OpenMP库的Android应用程序。本研究以OpenCV的Canny边缘检测为例。结果表明,单幅图像的处理时间从939ms提高到671ms,提高了28.5%。
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引用次数: 5
Auditory Space Perception during Active and Passive Self-Motion 主动和被动自我运动中的听觉空间感知
S. Sakamoto, W. Teramoto, Yôiti Suzuki, J. Gyoba
We investigated the effects of linear acceleration on auditory space representation. During self-motion, a short noise burst was presented from one of the loudspeakers aligned parallel to the motion direction when the listener's coronal plane reached a particular location (baseline). The effect of active and passive forward movement on perceived auditory space representation was also investigated. Results showed that the sound position aligned with the subjective coronal plane was displaced compared with the baseline only during forward self-motion. However, the direction of displacement during forward motion differed among experiments. Moreover, no difference was observed between active and passive motion. These results suggest a link between auditory space perception and self-motion perception.
我们研究了线性加速度对听觉空间表征的影响。在自我运动过程中,当听者的冠状面到达特定位置(基线)时,从与运动方向平行的扬声器之一发出短噪声。研究了主动和被动向前运动对听觉空间表征的影响。结果表明,与基线相比,与主观冠状面对齐的声音位置仅在前向自我运动时发生移位。然而,在不同的实验中,前进运动时的位移方向不同。此外,在主动和被动运动之间没有观察到差异。这些结果表明听觉空间感知和自我运动感知之间存在联系。
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引用次数: 1
LSB-Based Steganography Using Hamiltonian Paths 基于lsb的哈密顿路径隐写
Mehran Iranpour
In the graph theory, a Hamiltonian path is defined as a path in a graph which includes every vertex exactly once. The proposed method divides the cover image into some m×n blocks and partitions the binary secret data into some vectors with the length of m*n. For each block, one Hamiltonian path is first found such that the LSB of pixels of the block along this path have the maximum similarity to the corresponding vector of data. Then this part of data is embedded into the first LSB of pixels of the block along the best path using the modified LSB matching and the code of this path is embedded into the second LSB of the pixels using a novel method such that the minimum MSE value between the block of the cover image and the block of the stego-image is achieved. The experimental results evaluated on 8000 natural images reveal that the proposed method produces minimum distortion in the stego-images. Security of our method against one of the most effective steganalyzers is demonstrated.
在图论中,哈密顿路径被定义为图中每个顶点只包含一次的路径。该方法将封面图像分割为若干m×n块,并将二进制秘密数据分割为若干长度为m*n的向量。对于每个块,首先找到一条哈密顿路径,使得该块沿该路径的像素的LSB与相应的数据向量具有最大的相似性。然后,利用改进的LSB匹配方法沿最佳路径将这部分数据嵌入到块的像素的第一LSB中,并利用一种新颖的方法将该路径的代码嵌入到像素的第二LSB中,从而实现覆盖图像块与隐写图像块之间的最小MSE值。在8000幅自然图像上的实验结果表明,该方法对隐写图像的失真最小。证明了我们的方法对最有效的隐写分析器之一的安全性。
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引用次数: 5
Road Surface Condition Classification Based on Color and Texture Information 基于颜色和纹理信息的路面状况分类
Zhonghua Sun, Ke-bin Jia
Road surface condition is very important for safe driving especially in bad weather such as snow or rainy. In this paper we proposed a video camera road image status detection method. The color and texture information of the road surface is extracted from the video frame and then we build a naïve Bayesian classifier to classify the road surface image into three categories, dry, mild snow coverage, and heavy snow coverage. Meanwhile we compared the classification performance with another three popular classifiers, K-NN, Neural Network and SVM. Experimental results show that the naïve Bayesian classifier is most suitable for this classification problem.
路面状况对于安全驾驶是非常重要的,特别是在恶劣的天气,如下雪或下雨。本文提出了一种摄像机道路图像状态检测方法。从视频帧中提取路面的颜色和纹理信息,然后构建naïve贝叶斯分类器,将路面图像分为干燥、轻度积雪和重度积雪三类。同时,我们比较了另外三种流行的分类器,K-NN,神经网络和支持向量机的分类性能。实验结果表明naïve贝叶斯分类器最适合该分类问题。
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引用次数: 9
An Improved Wireless Video Multicast Based on Compressed Sensing 一种改进的基于压缩感知的无线视频组播
Hua Chen, Anhong Wang, Xiaoli Ma
In wireless video multicast, the main challenge is to meet the demands of heterogeneous receivers who face the same video source stream but show different channel characteristics. This paper proposes an improved compressed-sensing-base wireless video multicast (iCS-WVM) technique, where the measurements of each group of pictures (GOP) are packed and transmitted through an analog channel. Each receiver obtains some packets according to its channel characteristic and then the packets are decoded by exploiting the correlation of the video frames. Due to the fact that measurements from compressed sensing have the same importance, the receiver with good channel will receive more packets so as to recover a better quality, which guarantees iCS-WVM with a graceful degradation rather than cliff effects. Additionally, by exploit the motion estimation at the decoder side, iCS-WCM achieves better rate-distortion performance than the state-of-the-art Soft Cast and PQC, meanwhile a low-complexity encoding is preserved.
在无线视频组播中,主要的挑战是如何满足面对相同视频流但具有不同信道特性的异构接收者的需求。本文提出了一种改进的基于压缩感知的无线视频组播(iCS-WVM)技术,该技术将每组图像(GOP)的测量值打包并通过模拟信道传输。每个接收端根据自己的信道特性获取一些数据包,然后利用视频帧的相关性对数据包进行解码。由于来自压缩感知的测量具有相同的重要性,信道良好的接收方会接收更多的数据包,从而恢复更好的质量,这保证了iCS-WVM具有优雅的退化而不是悬崖效应。此外,通过利用解码器侧的运动估计,iCS-WCM实现了比最先进的软投和PQC更好的率失真性能,同时保持了低复杂度的编码。
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引用次数: 2
Real-Time Vascular Beating Analog Based on the Mass-Spring Model 基于质量-弹簧模型的实时血管搏动模拟
Xin Zhi, Ziming Zhang, Yuhui Gao, Zhixiang Zhang
Virtual vascular interventional operation is a virtual reality technology application in medical training. In this paper, we propose a real-time approach to vascular beating modeling, which can be used in virtual interventional simulation system. First of all, we read out the VTK file of vascular model through VTK function. Then, we choose a center point in a small space and structure the mass-spring model between the center point and other points discreted on the vascular model. After that, we give the center point a force to pull other points. Finally, we set a time callback function to give a beating frequency. Thus, the vascular will beat according to human heart beating rate. Our experimental results show that the method is simple and effective, it can also provide a visually plausible vascular beating effect in a real time way. So it can become an important part of virtual interventional simulation system.
虚拟血管介入手术是虚拟现实技术在医学培训中的应用。本文提出了一种血管跳动实时建模方法,可用于虚拟介入仿真系统。首先,通过VTK函数读出血管模型的VTK文件。然后,在小空间中选择一个中心点,在中心点与离散在维管模型上的其他点之间构建质量-弹簧模型。然后,我们给中心点一个力来拉其他点。最后,我们设置了一个时间回调函数来给出一个跳动频率。因此,血管会根据人的心率跳动。实验结果表明,该方法简单有效,并能提供视觉上逼真的实时血管跳动效果。因此,它可以成为虚拟介入仿真系统的重要组成部分。
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引用次数: 2
期刊
2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
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