检索结果-内蒙古大学图书馆

International Conference on Affective computing and intelligent Interaction and Workshops, ACII

作者： Silvia Monica Feraru Dagmar Schuller Bj÷rn Schuller Machine Intelligence & Signal Processing group Technische Universitat Munchen Munich Germany Audeering UG Landsberger Strasse 46D Gilching Germany Department of Computing Imperial College London London UK Chair of Complex & Intelligent Systems University of Passau Passau Germany

Automatic emotion recognition from speech has matured close to the point where it reaches broader commercial interest. One of the last major limiting factors is the ability to deal with multilingual inputs as will be given in a real-life operating system in many if not most cases. As in real-life scenarios speech is often used mixed across languages more experience will be needed in performance effects of cross-language recognition. In this contribution we first provide an overview on languages covered in the research on emotion and speech finding that only roughly two thirds of native speakers' languages are so far touched upon. We thus next shed light on mis-matched vs matched condition emotion recognition across a variety of languages. By intention, we include less researched languages of more distant language families such as Burmese, Romanian or Turkish. Binary arousal and valence mapping is employed in order to be able to train and test across databases that have originally been labelled in diverse categories. In the result - as one may expect - arousal recognition works considerably better across languages than valence, and cross-language recognition falls considerably behind within-language recognition. However, within-language family recognition seems to provide an `emergency-solution' in case of missing language resources, and the observed notable differences depending on the combination of languages show a number of interesting effects.

关键词： Speech Databases Emotion recognition Speech recognition Artificial intelligence Acoustics Speech processing

来源：评论

学校读者我要写书评

暂无评论

Color PNG Image Authentication Scheme Based on Rehashing and Secret Sharing Method

引用

Journal of Information Hiding and Multimedia signal processing 2015年第3期6卷 523-533页

作者： Lyu, Wan-Li Chang, Chin-Chen Wang, Feng Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and TechnologyAnhui University Hefei230039 China Department of Information Engineering and Computer Science Feng Chia University 100 Wenhwa Rd Seatwen Taichung40724 Taiwan Department of Mathematics and Physics Fujian University of Technology Fuzhou Fujian350108 China

An authentication scheme that uses rehashing and secret sharing methods to verify the reality of a color image’s content is proposed in this paper. First, the proposed scheme uses Shamir’s secret sharing method to share image features. Second, the proposed scheme innovatively utilizes the rehashing method to overcome easy collisions of the random numbers to enhance the effectiveness against attacks. Third, the proposed method utilizes Portable Network Graphics images to hide authentication messages. Using the rehashing method, the collisions take up little in address space, making the process suitable for processing authentication messages. The experimental results indicated that the proposed scheme had very low false acceptance and rejection ratios and verified that the rehashing method can be used in image authentication applications. © 2009 ISSN 2073-4212.

关键词： Authentication

来源：评论

学校读者我要写书评

暂无评论

On rater reliability and agreement based dynamic active learning

On rater reliability and agreement based dynamic active lear...

引用

International Conference on Affective computing and intelligent Interaction and Workshops, ACII

作者： Yue Zhang Eduardo Coutinho Björn Schuller Zixing Zhang Michael Adam Department of Computing Imperial College London London United Kingdom Technische Universitat Munchen Munchen Bayern DE Chair of Complex & Intelligent Systems University of Passau Passau Germany Machine Intelligence & Signal Processing group MMK Technische Universität München Munich Germany

In this paper, we propose two novel Dynamic Active Learning (DAL) methods with the aim of ultimately reducing the costly human labelling work for subjective tasks such as speech emotion recognition. Compared to conventional Active Learning (AL) algorithms, the proposed DAL approaches employ a highly efficient adaptive query strategy that minimises the number of annotations through three advancements. First, we shift from the standard majority voting procedure, in which unlabelled instances are annotated by a fixed number of raters, to an agreement-based annotation technique that dynamically determines how many human annotators are required to label a selected instance. Second, we introduce the concept of the order-based DAL algorithm by considering rater reliability and inter-rater agreement. Third, a highly dynamic development trend is successfully implemented by upgrading the agreement levels depending on the prediction uncertainty. In extensive experiments on standardised test-beds, we show that the new dynamic methods significantly improve the efficiency of the existing AL algorithms by reducing human labelling effort up to 85.41%, while achieving the same classification accuracy. Thus, the enhanced DAL derivations opens up high-potential research directions for the utmost exploitation of unlabelled data.

关键词： Reliability Heuristic algorithms Correlation Labeling Standards Gold Speech

来源：评论

学校读者我要写书评

暂无评论

Hybrid color image steganography method used for copyright protection and content authentication

引用

Journal of Information Hiding and Multimedia signal processing 2015年第4期6卷 686-696页

作者： Lyu, Wan-Li Chang, Chin-Chen Chou, Yeh-Chieh Lin, Chia-Chen Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei230039 China Department of Information Engineering and Computer Science Feng Chia University 100 Wenhwa Rd Seatwen Taichung40724 Taiwan Department of Computer Science and Information Management Providence University Taichung43301 Taiwan

In this paper, we proposed a hybrid image data hiding method used for watermarking applications in order to make sure the hidden dual watermarks survive after the image manipulation and enhancement processes. To achieve this goal, the proposed method is divided into two phases. In the first phase, the YCbCr color space is exploited, and, then, LSB techniques are used to embed the first level watermark bits in the YCbCr channel. In the second phase, the modification direction method is used to embed the second level watermark bits in the RGB channel. The experimental results confirmed that the proposed method resists most geometric attacks more effectively than Lusson et al.'s method. Therefore, the method is suitable for protecting the ownership of images and integrity of the potential tampered images. © 2015 ISSN.

关键词： Steganography

来源：评论

学校读者我要写书评

暂无评论

Congestion control strategy based on probability selection in delay tolerant mobile sensor network

引用

Journal of Information and Computational Science 2014年第14期11卷 5121-5130页

作者： Wang, Bingting Hu, Yanjun Liang, Hui Lin, Qibin Shi, Yonghua Wang, Xianbing School of Electronic and Electrical Engineering Chuzhou University Chuzhou China Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China School of Information Science & Technology Southwest Jiaotong University Chengdu China

We analyzed the relationship between packet validity and encounter probability as well as the relationship between packet validity and remaining lifetime. Then we proposed the congestion control strategy based on probability selection, which implements the operations of congestion detection and congestion avoidance. When node buffer is fully occupied and needs to store a new packet, it will look for the packets whose remaining lifetime is lower than the threshold T, and then drop the packet with minimum encounter probability. If there is no packet whose remaining lifetime is lower than T, the packet with the shortest remaining lifetime will be dropped. Simulation results show that this congestion control strategy improves the performances of delivery probability, average delay and overhead ratio compared with four kinds of congestion control strategies. 1548-7741/Copyright © 2014 Binary Information Press

关键词： Probability

来源：评论

学校读者我要写书评

暂无评论

Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care

引用

Nature communications 2019年第1期10卷 588页

作者： Lena Maier-Hein Matthias Eisenmann Annika Reinke Sinan Onogur Marko Stankovic Patrick Scholz Tal Arbel Hrvoje Bogunovic Andrew P Bradley Aaron Carass Carolin Feldmann Alejandro F Frangi Peter M Full Bram van Ginneken Allan Hanbury Katrin Honauer Michal Kozubek Bennett A Landman Keno März Oskar Maier Klaus Maier-Hein Bjoern H Menze Henning Müller Peter F Neher Wiro Niessen Nasir Rajpoot Gregory C Sharp Korsuk Sirinukunwattana Stefanie Speidel Christian Stock Danail Stoyanov Abdel Aziz Taha Fons van der Sommen Ching-Wei Wang Marc-André Weber Guoyan Zheng Pierre Jannin Annette Kopp-Schneider Division of Computer Assisted Medical Interventions (CAMI) German Cancer Research Center (DKFZ) 69120 Heidelberg Germany. l.maier-hein@dkfz.de. Division of Computer Assisted Medical Interventions (CAMI) German Cancer Research Center (DKFZ) 69120 Heidelberg Germany. Centre for Intelligent Machines McGill University Montreal QC H3A0G4 Canada. Christian Doppler Laboratory for Ophthalmic Image Analysis Department of Ophthalmology Medical University Vienna 1090 Vienna Austria. Science and Engineering Faculty Queensland University of Technology Brisbane QLD 4001 Australia. Department of Electrical and Computer Engineering Department of Computer Science Johns Hopkins University Baltimore MD 21218 USA. CISTIB - Center for Computational Imaging & Simulation Technologies in Biomedicine The University of Leeds Leeds Yorkshire LS2 9JT UK. Department of Radiology and Nuclear Medicine Medical Image Analysis Radboud University Center 6525 GA Nijmegen The Netherlands. Institute of Information Systems Engineering TU Wien 1040 Vienna Austria. Complexity Science Hub Vienna 1080 Vienna Austria. Heidelberg Collaboratory for Image Processing (HCI Heidelberg University 69120 Heidelberg Germany. Centre for Biomedical Image Analysis Masaryk University 60200 Brno Czech Republic. Electrical Engineering Vanderbilt University Nashville TN 37235-1679 USA. Institute of Medical Informatics Universität zu Lübeck 23562 Lübeck Germany. Division of Medical Image Computing (MIC) German Cancer Research Center (DKFZ) 69120 Heidelberg Germany. Institute for Advanced Studies Department of Informatics Technical University of Munich 80333 Munich Germany. Information System Institute HES-SO Sierre 3960 Switzerland. Departments of Radiology Nuclear Medicine and Medical Informatics Erasmus MC 3015 GD Rotterdam The Netherlands. Department of Computer Science University of Warwick Coventry CV4 7AL UK. Department of Radiation Oncology Massachusetts General Hospital Boston MA

In the original version of this Article the values in the rightmost column of Table 1 were inadvertently shifted relative to the other columns. This has now been corrected in the PDF and HTML versions of the Article.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Speech enhancement based on EMD and wavelet threshold in noisy environments

Speech enhancement based on EMD and wavelet threshold in noi...

引用

4th International Conference on Materials Science and Information Technology, MSIT 2014

作者： Chen, Zi Qin Zhang, De Xiang Yuan, Da Ling Key Lab. of Intelligent Computing and Signal Processing Anhui University Hefei 230039 China The School of Electrical Engineering and Automation Anhui University Hefei 230601 China

ISBN: (纸本)9783038351733

Speech enhancement is crucial for speech recognition accuracy. How to eliminate the effect of the noise constitutes a challenging problem in speech processing. This paper presents a new technique for speech enhancement in a noisy environment based on the empirical mode decomposition (EMD) algorithm and wavelet threshold. With the EMD, the noise speech signals can be decomposed into a sum of the band-limited function called intrinsic mode functions (IMFs), which is a zero-mean AM-FM component. Then wavelet threshold of the IMF components can be used to eliminate the effect of the noise for speech enhancement. Experimental results show that the proposed speech enhancement by de-noising algorithm is possible to achieve an excellent balance between suppresses noise effectively and preserves as many target characteristics of original signal as possible. © (2014) Trans Tech Publications, Switzerland.

关键词： Empirical mode decomposition

来源：评论

学校读者我要写书评

暂无评论

Robust Spatial Filters on Three-Class Motor Imagery EEG Data Using Independent Component Analysis

引用

Journal of Biosciences and Medicines 2014年第2期2卷 43-49页

作者： Bangyan Zhou Xiaopei Wu Lei Zhang Zhao Lv Xiaojing Guo The Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China

Independent Component Analysis (ICA) was often used to separate movement related independent components (MRICs) from Electroencephalogram (EEG) data.?However, to obtain robust spatial filters, complex characteristic features, which were manually selected in most cases, have been commonly used. This study proposed a new simple algorithm to extract MRICs automatically, which just utilized the spatial distribution pattern of ICs. The main goal of this study was to show the relationship between spatial filters performance and designing samples. The EEG data which contain?mixed brain states (preparing, motor imagery and rest) were used to design spatial filters. Meanwhile, the single class data was also used to calculate spatial filters to assess whether the MRICs extracted on different class motor imagery spatial filters are similar. Furthermore, the spatial filters constructed on one subject’s EEG data were applied to extract the others’ MRICs. Finally, the different spatial filters were then applied to single-trial EEG to extract MRICs, and Support Vector Machine (SVM) classifiers were used to discriminate left hand、right-hand and foot imagery movements of BCI Competition IV Dataset 2a, which recorded four motor imagery data of nine subjects. The results suggested that any segment of finite motor imagery EEG samples could be used to design ICA spatial filters, and the extracted MRICs are consistent if the position of electrodes are the same, which confirmed the robustness and practicality of ICA used in the motor imagery Brain Computer Interfaces (MI-BCI) systems.

关键词： ICA Spatial Filter Motor Imagery BCI SVM

来源：评论

学校读者我要写书评

暂无评论

Fusion of visual and infrared image based on NSCT

Fusion of visual and infrared image based on NSCT

引用

作者： Chen, Zi Hong Zhang, De Xiang Yan, Qing Zhang, Jing Jing Key Lab. of Intelligent Computing and Signal Processing Anhui University Hefei 230039 China School of Electrical Engineering and Automation of Anhui University Hefei 230601 China

ISBN: (纸本)9783038351382

Non-subsampled contourlet transform (NSCT) is the combination of the multi-scale analysis and multi-directional analysis in processing high-dimensional signals and has better approximation precision and better sparse description. A novel and efficient fusion method of infrared image and visible image based on NSCT is proposed. Firstly, source fusion images can be decomposed into low-frequency coefficients and high-frequency coefficients using the NSCT. For the low-frequency coefficients, the average fusion algorithm is used. For the each directional high frequency sub-band coefficients, the larger value and region average gradient maximum criterion is used to select the better coefficients for fusion. Experimental results show that the proposed algorithm can achieve better result compared with the traditional image fusion algorithms. © (2014) Trans Tech Publications, Switzerland.

关键词： Image fusion

来源：评论

学校读者我要写书评

暂无评论

Efficient plane wave injection for 3D FDTD method

引用

Tien Tzu Hsueh Pao/Acta Electronica Sinica 2014年第6期42卷 1086-1089页

作者： Wu, Bo Wang, Hui Huang, Zhi-Xiang Wu, Xian-Liang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University HefeiAnhui230039 China

The method of SP-FDTD (Splitting Plane wave Finite Difference Time Domain)is applied to 3D FDTD (Finite Difference Time Domain)method for plane wave incidence. Based on the split-field formulation, the method has the new iterative equations and can eliminate the error of interpolation and discretized phase velocity mismatch between 1D FDTD and 3D FDTD grid. Numerical results show that the present method is valid for different type of wave sources, and accuracy for oblique incident plane wave, with the leakage error on the order of -300 dB.

关键词： Finite difference time domain method

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：