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arXiv 2017年

作者： Cao, Xiangyong Zhou, Feng Xu, Lin Meng, Deyu Xu, Zongben Paisley, John IEEE IEEE School of Mathematics and Statistics Xi’an Jiaotong University Xi’an710049 China National Laboratory of Radar Signal Processing Xidian University Xi’an China NYU Multimedia and Visual Computing Lab New York University Abu Dhabi United Arab Emirates Department of Electrical Engineering & Data Science Institute Columbia University New YorkNY United States Columbia University China Scholarship Council

This paper presents a new supervised classification algorithm for remotely sensed hyperspectral image (HSI) which integrates spectral and spatial information in a unified Bayesian framework. First, we formulate the HSI classification problem from a Bayesian perspective. Then, we adopt a convolutional neural network (CNN) to learn the posterior class distributions using a patch-wise training strategy to better use the spatial information. Next, spatial information is further considered by placing a spatial smoothness prior on the labels. Finally, we iteratively update the CNN parameters using stochastic gradient decent (SGD) and update the class labels of all pixel vectors using α-expansion min-cut-based algorithm. Compared with other state-of-the-art methods, the proposed classification method achieves better performance on one synthetic dataset and two benchmark HSI datasets in a number of experimental settings. Copyright © 2017, The Authors. All rights reserved.

关键词： Spectroscopy

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Analysis of the meter of acoustic musical signals

Analysis of the meter of acoustic musical signals

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作者： Klapuri, Anssi P. Eronen, Antti J. Astola, Jaakko T. IEEE Institute of Signal Processing Tampere University of Technology FIN-33720 Tampere Finland Nokia Research Center Audio-Visual Systems Laboratory FIN-33721 Tampere Finland TUT Institute of Signal Processing Nokia Research Center Tampere Finland Department of Signal Processing Tampere International Center for Signal Processing

A method is decribed which analyzes the basic pattern of beats in a piece of music, the musical meter. The analysis is performed jointly at three different time scales: at the temporally atomic tatum pulse level, at the tactus pulse level which corresponds to the tempo of a piece, and at the musical measure level. Acoustic signals from arbitrary musical genres are considered. For the initial time-frequency analysis, a new technique is proposed which measures the degree of musical accent as a function of time at four different frequency ranges. This is followed by a bank of comb filter resonators which extracts features for estimating the periods and phases of the three pulses. The features are processed by a probabilistic model which represents primitive musical knowledge and uses the low-level observations to perform joint estimation of the tatum, tactus, and measure pulses. The model takes into account the temporal dependencies between successive estimates and enables both causal and noncausal analysis. The method is validated using a manually annotated database of 474 music signals from various genres. The method works robustly for different types of music and improves over two state-of-the-art reference methods in simulations. © 2006 ieee.

关键词： signal processing

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Platform-based MPEG-4 SOC design for video communications

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Journal of VLSI signal processing Systems for signal, Image, and Video Technology 2006年第1期42卷 7-19页

作者： Chang, Yung-Chi Chao, Wei-Min Hsu, Chih-Wei Chen, Liang-Gee Department of Electrical Engineering Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan Department of Electrical Engineering GIEE NTU Taipei Taiwan Electronics Research and Service Organization Industrial Technology Research Institute Hsinchu Taiwan IEEE CAS Technical Committee of VLSI Systems and Applications Technical Committee of Visual Signal Processing and Communications IEEE Signal Processing Technical Committee of Design and Implementation of SP Systems IEEE CAS Technical Committee on Multimedia Systems and Applications Phi Tan Phi

An MPEG-4 video coding SOC design is presented in this paper. We adopt platform-based architecture with an embedded RISC core and efficient memory organization. A motion estimator supporting predictive diamond search and spiral full search is implemented for compromise between compression performance and design cost. The proposed data reuse scheme reduces required memory access bandwidth. For texture coding path, an interleaving DCT/IDCT scheduling with substructure sharing technique is proposed. Several key modules are integrated into an efficient platform in hardware/software co-design fashion. The cost-efficient video encoder SOC consumes 256.8 mW at 40 MHz and achieves real-time encoding of 30 CIF (352×288) frames per second. © Springer Science + Business Media, Inc. 2006.

关键词： Multimedia systems

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Statistical multiplexing based on MPEG-4 fine granularity scalability coding

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Journal of VLSI signal processing Systems for signal, Image, and Video Technology 2006年第1期42卷 69-77页

作者： Yang, Xiaokang Ling, Nam Institute of Image Communication and Information Processing Shanghai Jiao Tong University 800 Dong Chuan Road Shanghai 200240 China Department of Computer Engineering Santa Clara University 500 El Camino Real Santa Clara CA 95053 United States Institute of Image Communication and Information Processing Department of Electronic Engineering Shanghai Jiao Tong University Shanghai China Visual Signal Processing Communications Technical Committee IEEE Circuits and Systems Society Department of Computer Engineering California United States National University of Singapore IEEE SPIE ASEE

Conventional statistical multiplexing methods for MPEG-1/2 programs involve high computationally complex transcoding (decoding and re-encoding) process to convert the original bit-rate into the target bit-rate. To avoid a time-consuming transcoding process, a new statistical multiplexer is proposed to enable content provider to easily convert the bit-rates by exploiting the MPEG-4 fine granularity scalability (FGS) coding scheme. The proposed statistical multiplexer is particularly useful for multiple-program broadcasting applications, including Internet television and video on demand, as well as value-added MPEG-4 video streaming services for DVB and ATSC digital TV systems. The proposed multiplexer mainly includes two parts: the FGS-based frame lag scheme and the optimal bit-plane truncation scheme. The FGS-based frame lag scheme exploits intra- and inter-layer correlations exist in MPEG-4 FGS bit-streams. The optimal bit-plane truncation scheme dynamically truncates enhancement layers of FGS bit-streams under the available bandwidth constraint and the quality/smoothness constraint. Experimental results show that high statistical multiplexing efficiency, inter-program fairness, and intra-program smoothness are achieved by the proposed multiplexer. © Springer Science + Business Media, Inc. 2006.

关键词： Multimedia systems

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Journal of Information Science and Engineering: Foreword

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Journal of Information Science and Engineering 2006年第5期22卷

作者： Wang, Jhing-Fa Chung, Pau-Choo Billinghurst, Mark National Cheng Kung University Tainan Taiwan Center for Research of E-life Digital Technology National Cheng Kung University Taiwan Electrical Laboratory National Cheng Kung University Taiwan Technical Committee of Bioinformatics and Bioengineering IEEE Life Science Systems and Applications Technical Committee IEEE Visual Signal Processing Communication Technical Committee IEEE Neural Systems and Applications Technical Committee Multimedia Systems and Applications Technical Committee in the CASS United States IEEE Phi Tau Phi Honor Society United States IEEE International Steering Committee Taiwan University of Canterbury New Zealand

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From rate-distortion analysis to resourcedistortion analysis

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ieee Circuits and Systems Magazine 2005年第3期5卷 6-18页

作者： He, Zhihai Mitra, Sanjit K. Department of Electrical and Computer Engineering University of Missouri Columbia MO 65211 Department of Electrical and Computer Engineering University of California Santa Barbara CA Visual Signal Processing and Communication Technical Committee IEEE Circuits and Systems Society Academy of Finland Croatian Academy of Sciences and Arts IEEE AAAS SPIE EURASIP ASEE

The ultimate goal in communication system design is to control and optimize the system performance under resource constraints. As the communication paradigm evolves from the conventional desktop computing, wired, and centralized communication to current mobile, wireless, distributed, and massive communication, video encoding and transmission operate under more and more resource constraints. In traditional video communication applications, such as digital TV broadcast, the major constraint is in the form of transmission bandwidth or storage space, which determines the encoding bit rate. Ratedistortion (R-D) theories have been developed to model the relationship between the coding bit rate and signai distortion. For video communication over mobile devices, the video encoding and transmission operate under additional resource constraints, such as energy supply and on-board computation capability. Therefore, there is a need to extend the traditional R-D analysis to resource-distortion analysis by incorporating the new resource constraints into the R-D analysis framework. In distributed and massive wireless video sensor networks, the resource utilization behaviors of individual video sensors should be well-coordinated through network-level rate allocation and optimum routing so as to maximize the overall performance. In this paper, we start from the classical R-D theory developed by Shannon over 50 years ago, and then review the R-D modelling techniques for modern image and video compression systems. We study the resource-distortion analysis framework for video communication over wireless devices. As one step further, we present the research problem of resource allocation and performance optimization for video compression and communication over a network of wireless communication devices. © 2005 ieee.

关键词： Communication systems

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