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检索条件"任意字段=2017 Conference on Design and Architectures for Signal and Image Processing, DASIP 2017"

共 889 条记录，以下是651-660 订阅

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Learning to inpaint for image compression 17

Learning to inpaint for image compression

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Proceedings of the 31st International conference on Neural Information processing Systems

作者： Mohammad Haris Baig Vladlen Koltun Lorenzo Torresani Department of Computer Science Dartmouth College Hanover NH Intel Labs Santa Clara CA Dartmouth College Hanover NH

ISBN: (纸本)9781510860964

We study the design of deep architectures for lossy image compression. We present two architectural recipes in the context of multi-stage progressive encoders and empirically demonstrate their importance on compression performance. Specifically, we show that: (a) predicting the original image data from residuals in a multi-stage progressive architecture facilitates learning and leads to improved performance at approximating the original content and (b) learning to inpaint (from neighboring image pixels) before performing compression reduces the amount of information that must be stored to achieve a high-quality approximation. Incorporating these design choices in a baseline progressive encoder yields an average reduction of over 60% in file size with similar quality compared to the original residual encoder.

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Unmixing dynamic PET images with a PALM algorithm

Unmixing dynamic PET images with a PALM algorithm

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European signal processing conference (EUSIPCO)

作者： Yanna Cruz Cavalcanti Thomas Oberlin Nicolas Dobigeon Clovis Tauber University of Toulouse IRIT/INP-ENSEEIHT Toulouse France UMRS INSERM U930 Universite de Tours Tours France

Unmixing is a ubiquitous task in hyperspectral image analysis which consists in jointly extracting typical spectral signatures and estimating their respective proportions in the voxels, providing an explicit spatial mapping of these elementary signatures over the observed scene. Inspired by this approach, this paper aims at proposing a new framework for analyzing dynamic positron emission tomography (PET) images. More precisely, a PET-dedicated mixing model and an associated unmixing algorithm are derived to jointly estimate time-activity curves (TAC) characterizing each type of tissues, and the proportions of those tissues in the voxels of the imaged brain. In particular, the TAC corresponding to the specific binding class is expected to be voxel-wise dependent. The proposed approach allows this intrinsic spatial variability to be properly modeled, mitigated and quantified. Finally, the main contributions of the paper are twofold: first, we demonstrate that the unmixing concept is an appropriate analysis tool for dynamic PET images; and second, we propose a novel unmixing algorithm allowing for variability, which significantly improves the analysis and interpretation of dynamic PET images when compared with state-of-the-art unmixing algorithms.

关键词： signal processing algorithms Positron emission tomography Heuristic algorithms Principal component analysis Algorithm design and analysis Optimization Europe

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Session 1: HEVC in embedded systems

Session 1: HEVC in embedded systems

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conference on design and architectures for signal and image processing

作者： Eduardo Juarez Universidad Politecnica de Madrid (Spain)

ISBN: (纸本)9781509030859

This session should appeal to the researchers interested in the latest implementations of the MPEG standard in embedded platforms. The four papers propose cope with performance, energy and complexity issues. From different points of view, two of them deals with the Scalable standard. One presents an efficient parallel architecture while the other one analyses the existing trade-off between energy consumption and quality. Encoding complexity estimates are discussed in the third paper. The last paper comes back to the energy efficiency issue using a task-based programming model.

关键词： Embedded systems Energy efficiency encoding complexity Parallel architectures paper energy consumption appeal

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19th International conference on Systems Science, ICSS 2016

19th International Conference on Systems Science, ICSS 2016

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19th International conference on Systems Science, ICSS 2016

ISBN: (纸本)9783319489438

The proceedings contain 30 papers. The special focus in this conference is on Applications of Machine Learning, Cloud Computing, Transportation, Multi-Robot Systems and Uncertain Systems. The topics include: Maximum likelihood estimation and optimal coordinates;relation recognition problems and algebraic approach to their solution;prediction of power load demand using modified dynamic weighted majority method;estimating cluster population;evaluation of particle swarm optimisation for medical image segmentation;automated processing of micro-ct scans using descriptor-based registration of 3d images;topic modeling based on frequent sequences graphs;Gaussian process regression with categorical inputs for predicting the blood glucose level;automated information extraction and classification of matrix-based questionnaire data;evaluating raft in docker on kubernetes;performance evaluation of MPTCP transmission of large data objects in computing cloud;a decentralized system for load balancing of containerized microservices in the cloud;layered reconfigurable architecture for autonomous cooperative UAV computing systems;a practical verification of protocol and data format negotiation methods in ComSS platform;reactive dynamic assignment for a bi-dimensional traffic flow model;comparing signal setting design methods through emission and fuel consumption performance indicators;GSOM traffic flow models for networks with information;designing mass-customized service subject to public grid-like network constraints;sensing feedback for the control of multi-joint prosthetic hand;spatio-temporal clustering and forecasting method for free-floating bike sharing systems;comparison of algorithms for constrained multi-robot task allocation and a joint problem of track closure planning and train run rescheduling with detours.

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design of Polyimide based Piezoelectric Micromachined Ultrasonic Transducer for Underwater Imaging Application 2017

Design of Polyimide based Piezoelectric Micromachined Ultras...

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Proceedings of the International conference on Imaging, signal processing and Communication

作者： Khairul Azman Ahmad Asrulnizam Abd Manaf Mohd Ikhwan Hadi Mohd Yaacob M.F.A Rahman Faculty of Electrical Universiti Teknologi MARA Kampus Jalan Permatang Pauh School of Electrical and Electronic Engineering Universiti Sains MalaysiaEngineering Campus Collaborative Microelectronic Design Excellence Centre (CEDEC) SainsUSM School of Electrical and Electronic Engineering Universiti Sains Malaysia Engineering Campus Department of Physics Faculty of Science and Matematics UPSI Universiti Teknologi MARA Kampus

ISBN: (纸本)9781450352895

Micromachined ultrasonic transducer has been used in many application for example non-destructive test, medical diagnostic and underwater application. One of the underwater application is underwater acoustic imaging system. Underwater acoustic imaging system needs a transducer with wide bandwidth to perform high resolution image. In previous paper, Capacitance Micromachined Ultrasonic Transducer（CMUT） and Piezoelectric Micromachined Ultrasonic Transducer（PMUT） was studied in acoustic imaging. In this paper, PMUT was designed and studied their receiving sensitivity. The target operating frequency is in between 300 k Hz to 700 kHz for underwater acoustic imaging. Simulation using Comsol 5.0 was used to determine the PVDF thickness, pitch element and substrate's material, Polyimide and Silicon for desired frequency and high receiving sensitivity. In this paper, Polyimide was used as substrate rather than previous paper was used Silicon as substrate. The positive and ground electrode with lateral structure was fabricated onto Polyimide substrate. The polyvinylidene difluoride,（PVDF） used as sensing element was placed on top of electrodes to obtain polarization and with lateral structure of electrodes, PMUT will induced the d mode polarization. The Pulse-echo method was used in experiments to determine the receiving sensitivity. PMUT was obtained receiving sensitivity at -80.84 dB rev 1 V/uPa with resonance frequency, 525 kHz. Low frequency for PMUT was obtained at 450 kHz and high frequency for PMUT was obtained at 650 kHz. Bandwidth for PMUT is 38.1%.

关键词： Piezoelectric Micromachined Ultrasonic Transducer (PMUT) Underwater acoustic imaging Polyimide substrate d33 mode polarization

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Demo: Overlay architectures for heterogeneous FPGA cluster management

Demo: Overlay architectures for heterogeneous FPGA cluster m...

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conference on design and architectures for signal and image processing

作者： Théotime Bollengier Mohamad Najem Jean-Christophe Le Lann Loïc Lagadec b<>com Brest France Lab-STICC MOCS ENSTA Bretagne Brest France

ISBN: (纸本)9781509030859

Overlays are reconfigurable architectures synthesized on commercial of the shelf (COTS) FPGAs. Overlays bring some advantages such as portability, resources abstraction, fast configuration, and can exhibit features independent from the host FPGA. We designed a fine-grained overlay implementing novel features easing the management of such architectures in a cluster of heterogeneous COTS FPGAs. This demonstration shows the use of this overlay in an FPGA cluster, performing a hardware application live migration between two nodes of a cluster. It also illustrates fault tolerance of the cluster.

关键词： Field programmable gate arrays Hardware Program processors Hardware design languages Fault tolerance Fault tolerant systems Table lookup

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Neural networks: Efficient implementations and applications

Neural networks: Efficient implementations and applications

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International conference on ASIC

作者： Chuan Zhang Weihong Xu Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS) Southeast University Nanjing China

This paper serves as an overview to the special session “Neural Networks: Efficient Implementations and Applications” on IEEE International conference on ASIC (ASICON) 2017. Focusing on the state-of-the-art research progresses on neural networks, our introduction consists of two main parts, namely efficient hardware implementations and the latest applications. Deep neural network (DNN) provides superior performance for complex tasks, which pushes one step further in many fields. However, in the development of DNN, a lot of challenges emerge and remain to be settled. In this overview paper, latest research progress of neural network in both implementation and application will be summarized to open the discussion on some important to-be-solved problems and limitations, especially from the circuits-and-systems design perspective. This motivates the organization of this special session, which includes this overview paper and four technical papers. An outline of these four invited papers constructs the last part of this overview, sketching their targeted research problems, proposed methodologies and solutions, as well as the main contribution and results.

关键词： Convolution Hardware Feature extraction Computer architecture Biological neural networks Machine learning

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Uniform belief propagation processor for massive MIMO detection and GF(2n) LDPC decoding

Uniform belief propagation processor for massive MIMO detect...

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International conference on ASIC

作者： Shusen Jing Anlan Yu Xiao Liang Xiaohu You Chuan Zhang National Mobile Communications Research Laboratory Southeast University Nanjing China Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS)

Both massive multiple-input multiple-output (MI-MO) technique and low-density parity-check (LDPC) codes have been considered as indispensable parts of 5G wireless. To improve the hardware efficiency and flexibility, a uniform belief propagation (BP) processor which can take care of both massive MIMO detection and GF(2 n ) LDPC decoding is proposed. To this end, the unified BP representation for BP detection and decoding is first proposed. Folding technique has been considered for further improvement of hardware efficiency and flexibility. For better illustration, a folded prototype of (8, 4) GF(2) LDPC coded 2×2 4-QAM MIMO system is implemented with FPGA. Numerical simulations and implementation results have demonstrated the feasibility of the proposed design methodology.

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Sparse representation for colors of 3D point cloud via virtual adaptive sampling

Sparse representation for colors of 3D point cloud via virtu...

引用

International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Junhui Hou Lap-Pui Chau Ying He Philip A. Chou Department of Computer Science City University of Hong Kong Kowloon Hong Kong Nanyang Technological University Singapore Microsoft Research Redmond WA

ISBN: (纸本)9781509041183

Sparse signal representation has proven to be an extremely powerful tool in a wide range of engineering applications. However, most of the existing techniques are designed for regular data (such as audio signals and images/videos) that uniformly lies in regular Euclidian spaces. This paper aims at extending sparse representation for irregular data (such as colors of 3D point clouds) that is defined on irregular domains embedded in Euclidean spaces. Dealing with the irregular structure of such data via a virtual adaptive sampling process, we formulate sparse representation as an ℓ 0 -norm regularized optimization problem. Experimental results show that the proposed algorithm outperforms the state-of-the-art algorithm to a large extent: with the same number of nonzero coefficients, we improve the reconstruction quality up to 5 dB; conversely, fixing the reconstruction quality, our method uses only 55% coefficients. Using compressive sensing theory, we provide an intuitive explanation on how and why our algorithm works well in practice.

关键词： Three-dimensional displays image color analysis Dictionaries Discrete cosine transforms Approximation algorithms Algorithm design and analysis

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4.9 A 1ms high-speed vision chip with 3D-stacked 140GOPS column-parallel PEs for spatio-temporal image processing

4.9 A 1ms high-speed vision chip with 3D-stacked 140GOPS col...

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IEEE International conference on Solid-State Circuits (ISSCC)

作者： Tomohiro Yamazaki Hironobu Katayama Shuji Uehara Atsushi Nose Masatsugu Kobayashi Sayaka Shida Masaki Odahara Kenichi Takamiya Yasuaki Hisamatsu Shizunori Matsumoto Leo Miyashita Yoshihiro Watanabe Takashi Izawa Yoshinori Muramatsu Masatoshi Ishikawa Sony Semiconductor Solutions Atsugi Japan Sony LSI Design Atsugi Japan University of Tokyo Bunkyo Japan

ISBN: (纸本)9781509037599

High-speed vision systems that combine high-frame-rate imaging and highly parallel signal processing enable instantaneous visual feedback to rapidly control machines over human-visual-recognition speeds. Such systems also enable a reduction in circuit scale by using a fast and simple algorithm optimized for high-frame-rate processing [1]. Previous studies on vision systems and chips [1-4] have yielded low imaging performance due to large matrix-based processing element (PE) parallelization [1-3], and low functionality of the limited-purpose column-parallel PE architecture [4], constraining vision-chip applications.

关键词： image color analysis Robot sensing systems Machine vision Imaging Object detection

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