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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 891 条记录，以下是651-660 订阅

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Applications of Evolutionary Computation 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Giovanni Squillero Kevin Sim

ISBN: (数字)9783319557922

ISBN: (纸本)9783319557915

The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European conference on the Applications of Evolutionary Computation, EvoApplications 2017, held in Amsterdam, The Netherlands, in April 2017, colocated with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART.;The 46 revised full papers presented together with 26 poster papers were carefully reviewed and selected from 108 submissions. EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural computing methods in business analytics and finance), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoKNOW (knowledge incorporation in evolutionary computation), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoROBOT (evolutionary robotics), EvoSET (nature-inspired algorithms in software engineering and testing), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

关键词： Algorithm Analysis and Problem Complexity Artificial Intelligence Special Purpose and Application-Based Systems Computer System Implementation Processor architectures Logic design

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Applications of Evolutionary Computation 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Giovanni Squillero Kevin Sim

ISBN: (数字)9783319558493

ISBN: (纸本)9783319558486

The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European conference on the Applications of Evolutionary Computation, EvoApplications 2017, held in Amsterdam, The Netherlands, in April 2017, collocated with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART.;The 46 revised full papers presented together with 26 poster papers were carefully reviewed and selected from 108 submissions. EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural computing methods in business analytics and finance), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoKNOW (knowledge incorporation in evolutionary computation), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoROBOT (evolutionary robotics), EvoSET (nature-inspired algorithms in software engineering and testing), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

关键词： Algorithm Analysis and Problem Complexity Artificial Intelligence Special Purpose and Application-Based Systems Computer System Implementation Processor architectures Logic design

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The design of multi-core DSP parallel model based on message passing and multi-level pipeline

The design of multi-core DSP parallel model based on message...

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Annual conference of the Chinese-Society-for-Optical-Engineering (CSOE) on Applied Optics and Photonics China (AOPC) - Space Optics and Earth Imaging and Space Navigation

作者： Niu, Jingyu Hu, Jian He, Wenjing Meng, Fanrong Li, Chuanrong Univ Chinese Acad Sci Beijing 100049 Peoples R China Chinese Acad Sci Acad Optoelect Lab Quantitat Remote Sensing Informat Technol Beijing 100094 Peoples R China

ISBN: (数字)9781510614086

ISBN: (纸本)9781510614086;9781510614079

Currently, the design of embedded signal processing system is often based on a specific application, but this idea is not conducive to the rapid development of signal processing technology. In this paper, a parallel processing model architecture based on multi-core DSP platform is designed, and it is mainly suitable for the complex algorithms which are composed of different modules. This model combines the ideas of multi-level pipeline parallelism and message passing, and summarizes the advantages of the mainstream model of multi-core DSP (the Master-Slave model and the Data Flow model), so that it has better performance. This paper uses three-dimensional image generation algorithm to validate the efficiency of the proposed model by comparing with the effectiveness of the Master-Slave and the Data Flow model.

关键词： multi-core DSP parallel processing pipeline parallel

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2017 IEEE International conference on Consumer Electronics - Taiwan, ICCE-TW 2017

2017 IEEE International Conference on Consumer Electronics -...

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4th IEEE International conference on Consumer Electronics - Taiwan, ICCE-TW 2017

ISBN: (纸本)9781509040179

The proceedings contain 218 papers. The topics discussed include: moving object detection based on image bit-planes and co-occurrence matrix in video surveillance;high quality and efficient light field image rendering based on white image compensation;high performance of moving-object detection by GPGPU based on pipelining;buffer size evaluation of mixture communication of the wormhole and single-flit routing;a study on inter-frame differencing for compressed moving images;an integrated high-slew-rate low power OTA design for Doppler ultrasound transmitters;synchronization of multiroom audio streams in Wi-Fi environment;a high-voltage integrated bipolar pulser for medical ultrasound scanner applications;a study of floating image system with the interaction function;Hippocra: doctor-to-doctor teledermatology consultation service towards future AI-based diagnosis system in Japan;automatic queue monitoring in store using a low-cost IoT sensing platform;implementation of a Zigbee-based wireless router for home automation systems;software defined radio implementation of LTE R13 NB-IoT downlink vector signal generator;a new method with saliency detection for image quality assessment;action recognition using three dimension convolution and long short term memory;and a novel lossless embedded compression algorithm for video coding for wireless sensor node applications.

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Proceedings of 2017 IEEE 16th International conference on Cognitive Informatics and Cognitive Computing, ICCI∗CC 2017

Proceedings of 2017 IEEE 16th International Conference on Co...

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16th IEEE International conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017

ISBN: (纸本)9781538607701

The proceedings contain 76 papers. The topics discussed include: cognitive exploration of regions through analyzing geo-tagged social media data;from computing with numbers to computing with numeric words;model-based polynomial function approximation with spiking neural networks;cognitive imaging: using knowledge representation for reliable segmentation of MR angiography data;visualizing the functional connectivity of bilingual and monolingual brain during multitasking;transfer learning for brain decoding using deep architectures;an improved KNN text classification algorithm based on Simhash;classification of EEG signal by WT-CNN model in emotion recognition system;class discovery from semi-structured EEG data for affective computing and personalisation;cognitive modulation of appraisal variables in the emotion process of autonomous agents;modeling of the chasing behaviors for developmental program of children with autism spectrum disorders;investigations on the brain connectivity patterns in progression of Alzheimer's disease using functional MR imaging and graph theoretical measures;and a novel brain image processing method for the application of detecting the GBM disease patterns in anatomic sections of t1-weighted 3d magnetic resonance imaging.

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Spherical Hybrid Curvature images of 3D Shapes and Its Applications 11th

Spherical Hybrid Curvature Images of 3D Shapes and Its Appli...

引用

11th International conference on E-Learning and Games (Edutainment)

作者： Ma, Yuankui Zhang, Shusheng Bai, Xiaoliang Xian Technol Univ Sch Sci Xian 710021 Shaanxi Peoples R China Northwestern Polytech Univ Minist Educ Key Lab Contemporary Design & Integrated Mfg Tech Xian 710072 Peoples R China

ISBN: (纸本)9783319658490;9783319658483

A new representation of 3D shapes is proposed using spherical hybrid curvature images. signals like normals and curvatures are stored in spherical hybrid curvature images using spherical parameterization and partition of a sphere. The generation depends on several geometric signals, not one single geometric signal. So its colors reflect the properties of 3D shapes more clearly. With simple arrays similar to 2D image, the spherical hybrid curvature image can be post-processed easily using sophisticated image processing algorithms. Applications include segmentation, editing and model retrieval etc. Experimental results show that our method is better than other geometry image algorithms. The algorithm is simple and practical especially for models in engineering.

关键词： Triangular mesh Spherical hybrid curvature image Segmentation

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Performance and computational trade analysis for low-SWaP synthetic aperture radar application

Performance and computational trade analysis for low-SWaP sy...

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2017 International conference on Radar Systems, Radar 2017

作者： Paulus, A.S. Davis, M.S. Carlson, D.O. Melvin, W.L. Himed, B. Georgia Tech Research Institute Georgia Institute of Technology United States AFRL RYMD Wright Patterson Air Force Base United States

ISBN: (纸本)9781785615153

Airborne radar platforms with low size, weight, and power (SWaP) minimize cost and operational risk but also place constraints on the complexity of the algorithms used to process the received data. Producing high quality radar images requires sophisticated algorithms that provide accurate and useful information regarding the scene of interest. Imaging algorithms that provide the highest quality synthetic aperture radar (SAR) imagery come with a steep computational price: 0(N3) operations are required to produce an N pixel x N pixel image;imaging algorithms that require fewer computations introduce errors of varying degree that result from approximations to the signal model. Several sub-optimal SAR imaging algorithms were evaluated to quantify the impact of these approximations for various system parameters and scene sizes. A comparison of image formation times on two low-power graphical processing units (GPUs) provides a realistic comparison of algorithm complexity. Additional algorithms and techniques in the end-to-end image formation process that provide favorable trades between performance and computations are identified, and design challenges specific to a SWaP-limited platform are addressed. © 2017 Institution of Engineering and Technology. All rights reserved.

关键词： Commerce

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Energy-Efficient Approximate Multiplier design using Bit Significance-Driven Logic Compression 20

Energy-Efficient Approximate Multiplier Design using Bit Sig...

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20th conference and Exhibition on design, Automation and Test in Europe (DATE)

作者： Qiqieh, Issa Shafik, Rishad Tarawneh, Ghaith Sokolov, Danil Yakovlev, Alex Newcastle Univ Sch Elect & Elect Engn Newcastle Upon Tyne NE1 7RU Tyne & Wear England

ISBN: (纸本)9783981537093

Approximate arithmetic has recently emerged as a promising paradigm for many imprecision-tolerant applications. It can offer substantial reductions in circuit complexity, delay and energy consumption by relaxing accuracy requirements. In this paper, we propose a novel energy-efficient approximate multiplier design using a significance-driven logic compression (SDLC) approach. Fundamental to this approach is an algorithmic and configurable lossy compression of the partial product rows based on their progressive bit significance. This is followed by the commutative remapping of the resulting product terms to reduce the number of product rows. As such, the complexity of the multiplier in terms of logic cell counts and lengths of critical paths is drastically reduced. A number of multipliers with different bit-widths (4-bit to 128-bit) are designed in SystemVerilog and synthesized using Synopsys design Compiler. Post-synthesis experiments showed that up to an order of magnitude energy savings, and reductions of 65% in critical delay and almost 45% in silicon area can be achieved for a 128-bit multiplier compared to an accurate equivalent. These gains are achieved with low accuracy losses estimated at less than 0.00071 mean relative error. Additionally, we demonstrate the energy-accuracy trade-offs for different degrees of compression, achieved through configurable logic clustering. In evaluating the effectiveness of our approach, a case study image processing application showed up to 68.3% energy reduction with negligible losses in image quality expressed as peak signal-to-noise ratio (PSNR).

关键词： Logic gates image coding Complexity theory Adders Delays Energy consumption Logic arrays

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DENSE OPTICAL FLOW VARIATION BASED 3D FACE RECONSTRUCTION FROM MONOCULAR VIDEO 25

DENSE OPTICAL FLOW VARIATION BASED 3D FACE RECONSTRUCTION FR...

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25th IEEE International conference on image processing (ICIP)

作者： Wang, Shan Shen, Xukun Liu, Jiaqing Beihang Univ State Key Lab Virtual Real Technol & Syst Beijing Peoples R China Beihang Univ Sch New Media Art & Design Beijing Peoples R China

ISBN: (纸本)9781479970612

This paper presents a method for reconstructing 3D face expressions from monocular video sequences. Unlike previous approaches we don't require any prior face models, nor a large collection of images with diverse variation of poses and illuminations. Instead, we leverage a monocular video sequence without any restrictions. We formulate the 3D face reconstruction as an energy minimization problem integrated with dense optical flow variation, as rigid as possible(ARAP) constraint, spatial and temporal constraints. This paper offers the first dense optical flow variational approach to the problem of 3D reconstruction of non-rigid face expressions from a monocular video. Dense optical flow variation cost substitutes for photo consistency cost to enhance the reconstruction of exaggerated expressions. A generic 3D face template mesh and a simple 3D warping algorithm allow us to reconstruct a true 3D face mesh, relax the constraints of diverse views or illuminations and also avoid the dependency of the quality of prior face models, such as the facial expressions or face races varieties limitation. Finally, we use a per-pixel shape-from shading(SFS) algorithm to estimate the fine-scale geometry details such as wrinkles to further improve the reconstruction fidelity. Given unconstrained monocular RGB videos, our method reconstructs wrinkle-level 3D face model, without the need for any prior models or diverse capture conditions.

关键词： 3D face reconstruction dense optical flow monocular video

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ASePPI: Robust Privacy Protection against De-Anonymization attacks 30

ASePPI: Robust Privacy Protection against De-Anonymization a...

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30th IEEE/CVF conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Ruchaud, Natacha Dugelay, Jean-Luc Eurecom 450 Route Chappes Sophia Antipolis France

ISBN: (纸本)9781538607336

The evolution of the video surveillance systems generates questions concerning protection of individual privacy. In this paper, we design ASePPI, an Adaptive Scrambling enabling Privacy Protection and Intelligibility method operating in the H.264/AVC stream with the aim to be robust against de-anonymization attacks targeting the restoration of the original image and the re-identification of people. The proposed approach automatically adapts the level of protection according to the resolution of the region of interest. Compared to existing methods, our framework provides a better trade-off between the privacy protection and the visibility of the scene with robustness against de-anonymization attacks. Moreover, the impact on the source coding stream is negligible.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks signal processing algorithms

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