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

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Nodes Location Method Based on Correlation Analysis in WSN 基于相关性分析的WSN节点定位方法
Hengliang Tang, Yanfeng Sun, Jie Zhu, Mingru Zhao
Automatic nodes location is a key supporting technology in WSN, and gains much more attention with the development of the modern network technology and wireless communication technology. In this paper, a novel locating method based on correlation analysis is presented. First, in order to get the accurate and valid data, the normalization procedure is applied on the original wireless information. Then, the statistical histogram, which can decrease the dimension and weaken the effect of abnormal values for the normalized data, is adopted to summarize the detailed information and to represent the signal information. Finally, a novel nodes location method based on correlation analysis is proposed to evaluate the positions of the unknown nodes. The experiments tested on the public Intel Lab Data demonstrate the feasibility and validity of the proposed locating method for WSN.
节点自动定位是无线传感器网络的关键支撑技术,随着现代网络技术和无线通信技术的发展,越来越受到人们的重视。本文提出了一种基于相关分析的定位方法。首先,为了得到准确有效的数据,对原始无线信息进行归一化处理。然后,采用统计直方图对归一化后的数据进行降维处理,减弱异常值的影响,总结出细节信息,表示信号信息;最后,提出了一种新的基于关联分析的节点定位方法来评估未知节点的位置。在Intel实验室公开数据上的实验验证了该定位方法在无线传感器网络中的可行性和有效性。
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引用次数: 0
A Creative 3D Game Platform Interacted with Laser Beam 一个与激光束互动的创意3D游戏平台
Sheng-Hsiung Chang, Chien-Yue Chen, B. Lin, Pei-Jung Wu
In this study, a 3D display and interactive laser technology are integrated to develop an interface system with virtual touch and to build up a laser interactive 3D game platform.
本研究将三维显示技术与交互式激光技术相结合,开发了一个具有虚拟触摸的界面系统,并构建了一个激光交互式三维游戏平台。
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引用次数: 0
Personal Auditory Tele-existence System Using a TeleHead 使用TeleHead的个人听觉远程存在系统
T. Hirahara, D. Morikawa, Y. Iwaya
A TeleHead is a steerable dummy head that tracks a listener's head movement quickly and quietly. We made a personal auditory tele-existence system connecting Toyama Prefectural University and Research Institute of Electrical Communication Tohoku University by using a TeleHead over the Internet. The remote TeleHead can provide dynamic binaural signals associated with the head-movement data input, and the local listener can hear the sounds represented by them. The listener perceives the three-dimensional sound image as if he were at the remote place even when the system has a total latency of 223 ms.
TeleHead是一种可操纵的假头,它可以快速而安静地跟踪听者的头部运动。我们利用互联网上的TeleHead,制作了一个连接富山县立大学和东北大学电子通信研究所的个人听觉远程存在系统。远程TeleHead可以提供与头部运动数据输入相关联的动态双耳信号,并且本地听者可以听到它们所代表的声音。即使系统的总延迟时间为223毫秒,听众也能感知到三维声音图像,就好像他在遥远的地方一样。
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引用次数: 0
Facial Expression Recognition under Partial Occlusion Based on Gabor Multi-orientation Features Fusion and Local Gabor Binary Pattern Histogram Sequence 基于Gabor多方向特征融合和局部Gabor二值模式直方图序列的局部遮挡下面部表情识别
Shuai Liu, Yan Zhang, Ke-Ping Liu, Yan Li
In this paper, we propose a novel facial expression recognition method under partial occlusion based on Gabor multi-orientation features fusion and local Gabor binary pattern histogram sequence (LGBPHS). Firstly, the Gabor filter is adopted to extract multi-scale and multi-orientation features. Secondly, the Gabor magnitudes of different orientations in the same scale will be fused according to the fusion rule in this paper and then the fusion features are further encoded by using the LBP operator. Finally, the fused image is divided into several non-overlapping rectangle units with equal size, and the histogram of each unit is computed and combined as facial expression features. The proposed method is robust to partial occlusion and better recognition rates are achieved in JAFFE database with eyes occlusion and mouth occlusion. Experimental results show that the method is effective to facial expression recognition under partial occlusion.
本文提出了一种基于Gabor多方向特征融合和局部Gabor二值模式直方图序列(LGBPHS)的局部遮挡下面部表情识别方法。首先,采用Gabor滤波器提取多尺度、多方向特征;其次,根据本文提出的融合规则对同一尺度下不同方向的Gabor震级进行融合,然后利用LBP算子对融合特征进行编码;最后,将融合后的图像分割为几个大小相等且不重叠的矩形单元,计算每个单元的直方图并组合为面部表情特征。该方法对部分遮挡具有较强的鲁棒性,在JAFFE数据库中对眼遮挡和口遮挡均有较好的识别率。实验结果表明,该方法对局部遮挡下的面部表情识别是有效的。
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引用次数: 14
Design of High Gain Planar Dipole Array Antenna for WLAN Application 无线局域网高增益平面偶极子阵列天线设计
Yuh-Yih Lu, Jhih-Jie Jhu, Hsiang-Cheh Huang
This paper presents a new design of planar dipole array antenna (PDAA). Radiated patches are etched on the metallic layer of a double-sided printed circuit board (FR4) to form the PDAA. The two symmetric flags with trapezoid patch are designed on both side of the print circuit board to form the basic dipole element. IE3D software is used to design PDAA. Better parameters are selected to manufacture the proposed array antenna. The fabricated 4×8-element planar dipole array antenna can be operated at 5.2/5.8 GHz successfully. With suitable size parameters of the dipole element, PDAA is fabricated. From the measured results, the wide bandwidth about 1.97GHz is obtained. The peak gain of the fabricated PDAA with reflector is 15.55dBi at 5.2GHz and 17.53dBi at 5.8GHz. This high gain planar dipole array antenna can be used in WLAN frequency band.
提出了一种新的平面偶极子阵列天线(PDAA)设计方案。将辐射片蚀刻在双面印刷电路板(FR4)的金属层上,形成PDAA。在印刷电路板的两侧设计两个带梯形贴片的对称标志,形成基本的偶极子元件。采用IE3D软件对PDAA进行设计。选择了较好的参数来制作所提出的阵列天线。制作的4×8-element平面偶极子阵列天线可以成功地工作在5.2/5.8 GHz。选择合适的偶极子元件尺寸参数,制备了PDAA。根据实测结果,得到了约1.97GHz的宽带。带反射镜的PDAA在5.2GHz和5.8GHz时的峰值增益分别为15.55dBi和17.53dBi。该高增益平面偶极子阵列天线可用于WLAN频段。
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引用次数: 7
Research on Image Detection Algorithm with Markov Process 基于马尔可夫过程的图像检测算法研究
Liu Meng-jiao, Niu Shao-zhang, Zou Jian-cheng
A steganography detection algorithm on JPEG images-Markov detection is introduced. On the basics of Markov steganography detection algorithm, we detect many kinds of images, such as stego-images, spliced images and median filtered images and so on. The experiment results show that the improved Markov algorithm has higher detection accuracy rate for many kinds of images.
介绍了一种JPEG图像的隐写检测算法——马尔可夫检测。在马尔可夫隐写检测算法的基础上,对隐写图像、拼接图像、中值滤波图像等多种类型的图像进行检测。实验结果表明,改进的马尔可夫算法对多种类型的图像具有较高的检测准确率。
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引用次数: 0
Steganalysis in the Presence of Watermarked Images 存在水印图像的隐写分析
Pham Hai Dang Le, D. Graf, M. Franz
Watermarked images are increasingly prevalent in the internet. Hence, any practical steganalyzer has to take the presence of watermarked images into account, particularly as potential source of false alarms due to similar embedding algorithms. In this study, we investigate the impact of watermarked images on the performance of a standard steganalyzer using two recent watermarking schemes: JPEG Compression Resistance Watermarking (JCRW) in the DCT domain [1] and Controllable Secure Watermarking (CSW) [2] in the pixel domain. Our findings show that JCRW and CSW do interfere with steganalysis. In particular, CSW-watermarked images were mostly classified as stego images thus rendering the investigated steganalyzer useless because of the excessively high false alarm rate. We propose a two-step classifier to handle this problem which achieves the same performance as the original steganalyzer, but in the presence of watermarking.
水印图像在互联网上越来越普遍。因此,任何实际的隐写分析仪都必须考虑到水印图像的存在,特别是由于类似的嵌入算法而成为假警报的潜在来源。在本研究中,我们使用两种最新的水印方案研究了水印图像对标准隐写分析器性能的影响:DCT域的JPEG抗压缩水印(JCRW)[1]和像素域的可控安全水印(CSW)[2]。我们的研究结果表明,JCRW和CSW确实干扰了隐写分析。特别是,csw水印图像大多被归类为隐写图像,从而使所研究的隐写分析仪由于虚警率过高而失效。我们提出了一种两步分类器来处理这个问题,该分类器达到了与原始隐写分析器相同的性能,但存在水印。
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引用次数: 0
High-Payload Digital Watermarking Using Radius-Weighted Mean Based on IWT Domain 基于IWT域的半径加权均值高载荷数字水印
Ching-Yu Yang
Based on integer wavelet transform (IWT), the author uses the idea of radius-weighted mean (RWM) and present a high-capacity color image watermarking scheme. More specifically, the Euclidean distance of RWM and centroid is used as the embedding criterion, a watermark is hidden in the low-low (LL) subbnad of IWT domain. To further promote payload size, the criterion of Euclidean norm of RWM is employed in the low-high (LH) and high-low (HL) subbnads of IWT domain. Simulations confirm that the marked images generated by the proposed method are robust against manipulations such as JPEG, JPEG2000, color quantization, cropping, (edge) sharpening, noise additions, blurring, and inversion. In addition, the resultant perceived quality is good while our peak signal-to-noise ratio outperforms existing techniques.
在整数小波变换(IWT)的基础上,利用半径加权均值(RWM)的思想,提出了一种高容量彩色图像水印方案。具体地说,以RWM与质心的欧氏距离作为嵌入准则,将水印隐藏在IWT域的low-low (LL)子带中。为了进一步提高载荷大小,在IWT域的低-高(LH)和高-低(HL)子波段采用了RWM的欧几里得范数准则。仿真验证了该方法生成的标记图像对JPEG、JPEG2000、颜色量化、裁剪、(边缘)锐化、噪声添加、模糊和反演等操作具有鲁棒性。此外,所得的感知质量很好,而我们的峰值信噪比优于现有技术。
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引用次数: 3
A Fall Detection System Based on Human Body Silhouette 基于人体轮廓的跌倒检测系统
Bor-Shing Lin, Jhe-Shin Su, Hao Chen, G. Jan
Elderly care system is one among the most popular research topics in biomedical health-care system design as aging has emerged in different countries. We present a biologically-motivated system to detect unexpected falls in real-time video sequences. The system employs event-based temporal difference image between video sequences as input and extracts static features like aspect ratio and inclination angle of the human body silhouette in unobserved video, which is adopted to improve privacy protection. This method has less computation than those methods using motion dynamic features. Meantime, since time difference is an important factor to distinguish fall incident and lying down event, the critical time difference is obtained from the experiments and verified by statistical results. With the K-Nearest Neighbor (KNN) classifier and the critical time difference, this system presents an accurate approach to detect fall incidents. 86.11% average recognition rate is achieved in the experiment. Compared with other methods of motion dynamic features categorization, our proposed system shows great computational savings, and it is an ideal candidate for hardware implementation with event-based circuits.
随着老龄化问题的日益突出,老年保健系统是生物医学保健系统设计中最热门的研究课题之一。我们提出了一个生物驱动的系统来检测实时视频序列中的意外跌倒。该系统采用基于事件的视频序列间时间差图像作为输入,提取未观察视频中人体轮廓的长宽比、倾斜角等静态特征,提高隐私保护。该方法比使用运动动态特征的方法计算量少。同时,由于时间差是区分跌落事件和躺卧事件的重要因素,因此从实验中得到了临界时间差,并通过统计结果进行了验证。利用KNN分类器和临界时差,该系统提供了一种准确的跌倒事件检测方法。实验平均识别率达到了86.11%。与其他运动动态特征分类方法相比,该方法节省了大量的计算量,是基于事件电路的硬件实现的理想选择。
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引用次数: 12
Quality Studies of an Invisible Chaos-Based Watermarking Scheme with Message Extraction 基于消息提取的不可见混沌水印方案的质量研究
J. Bahi, Jean-François Couchot, Nicolas Friot, C. Guyeux, Kamel Mazouzi
This paper takes place in the field of invisible chaos-based watermarking schemes. It addresses the quality study of an already pyblished algorithm by focusing on three class of properties. Its robustness is experimentally shown against classical attacks on a large set of image instances and image transformations. It correctness and completness are formally proven. Due to this main advantages, this process is fitted for practical use.
本文研究的是基于不可见混沌的水印方案。它通过关注三类属性来解决已经完成的算法的质量研究。实验证明了该算法对大量图像实例和图像变换的经典攻击具有鲁棒性。它的正确性和完整性被正式证明。由于这些主要优点,该工艺适合实际应用。
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引用次数: 1
期刊
2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
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