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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141-150 订阅

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Exploiting LabVIEW FPGA in Implementation of DCT-based Wireless image Transmission for Wildlife Surveillance System 16

Exploiting LabVIEW FPGA in Implementation of DCT-based Wirel...

引用

16th IEEE Student conference on Research and Development, SCOReD 2018

作者： Mohd Nadzri, Muhammad Muzakkir Ahmad, Afandi Amira, Abbes Universiti Tun Hussein Onn Malaysia Johor86400 Malaysia Department of Computer Science and Engineering Qatar University P. O. Box 2713 Doha Qatar

ISBN: (纸本)9781538691755

In the development of wildlife surveillance system technology, images are important input data that allow real situations in the field to be viewed and analysed. This project proposed a compressed and wireless image transmission system for current system improvements. image compression is intended to ensure that the proposed system is efficient in terms of processing, transmission and storage. The compressed images are transmitted wirelessly to provide real-time data to authorities. In this study, LabVIEW 2017 software and NI myRIO (as image transmitter) and computer (as image receiver) hardware were used for the architectural design of compression systems by using discrete cosine transform (DCT) method and wireless transmission using Wi-Fi. The implementation of DCT on a field programmable gate array (FPGA) platform, allowing the image to be compressed by 44% and minimise time consumption for transmission process, whilst the value of peak to signal noise ratio (PSNR) are considered good, between 27dB to 40dB. © 2018 IEEE.

关键词： image compression

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Power-Delay-Area Efficient design of Vedic Multiplier using Adaptable Manchester Carry Chain Adder 6

Power-Delay-Area Efficient Design of Vedic Multiplier using ...

引用

IEEE International conference on Communication and signal processing (ICCSP)

作者： Katreepalli, Raghava Haniotakis, Themistoklis Southern Illinois Univ Carbondale Dept Elect & Comp Engn Carbondale IL 62901 USA

ISBN: (纸本)9781509038008

Multipliers are basic building blocks for many arithmetic logic units, digital signal processors, coding theory units, communication systems, image processing systems etc. So multipliers designed with high speed and power efficient are essential for high performance processing units. The speed of multiplier is limited by propagation delay of adder. Therefore, design of efficient adders is critical in high performance multipliers. Vedic multipliers is one of the fastest multipliers which are focused recently. In this paper, we propose an power-delay efficient design of Vedic multiplier using adaptable Manchester Carry Chain adders (MCC) in a hierarchal approach. The proposed Vedic multiplier design using MCC is evaluated and analyzed in terms of power, delay and area in a standard 45nm CMOS technology in CADENCE. The proposed Vedic multiplier design using MCC has lower power-delay product requirement than existing Vedic multiplier architectures.

关键词： Vedic Multipliers power consumption delay power-delay product Manchester Carry Chain adders

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Recent Developments in Intelligent Computing, Communication and Devices: Proceedings of ICCD 2017

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2018年

作者： Srikanta Patnaik Vipul Jain

ISBN: (纸本)9789811089435

This book offers a collection of high-quality, peer-reviewed research papers presented at the International conference on Intelligent Computing, Communication and Devices (ICCD 2017), discussing all dimensions of intelligent sciences intelligent computing, intelligent communication, and intelligent devices. Intelligent computing addresses areas such as intelligent and distributed computing, intelligent grid and cloud computing, internet of things, soft computing and engineering applications, data mining and knowledge discovery, semantic and web technology, hybrid systems, agent computing, bioinformatics, and recommendation systems. Intelligent communication is concerned with communication and network technologies, such as mobile broadband and all optical networks that are the key to groundbreaking inventions of intelligent communication technologies. It includes communication hardware, software and networked intelligence, mobile technologies, machine-to-machine communication networks, speech and natural language processing, routing techniques and network analytics, wireless ad hoc and sensor networks, communications and information security, signal, image and video processing, network management, and traffic engineering. Lastly, intelligent devices are any equipment, instruments, or machines that have their own computing capability. As computing technology becomes more advanced and less expensive, it can be incorporated an increasing number of devices of all kinds. This area covers such as embedded systems, radiofrequency identification (RFID), radiofrequency microelectromechanical system (RF MEMS), very-large-scale integration (VLSI) design and electronic devices, analog and mixed-signal integrated circuit (IC) design and testing, microelectromechanical system (MEMS) and microsystems, solar cells and photonics, nanodevices, single electron and spintronics devices, space electronics, and intelligent robotics.

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ANN for human pose estimation in low resolution depth images 21

ANN for human pose estimation in low resolution depth images

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conference on signal processing: Algorithms, architectures, Arrangements, and Applications (SPA)

作者： Szczuko, Piotr Gdansk Univ Technol Fac Elect Telecommun & Informat Multimedia Syst Dept Gdansk Poland

ISBN: (纸本)9788362065301

The paper presents an approach to localize human body joints in 3D coordinates based on a single low resolution depth image. First a framework to generate a database of 80k realistic depth images from a 3D body model is described. Then data preprocessing and normalization procedure, and DNN and MLP artificial neural networks architectures and training are presented. The robustness against camera distance and image noise is analysed. Localization accuracy for each joint is reported and application for low resolution and large distance pose estimation is proposed. A very fast regression on body joints locations in 3D space is achieved, even in case of sensor noise, large distance and reaching off the screen.

关键词： depth image pose estimation artificial neural networks deep learning

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Improvements in Upscaling of Pixel Art 21

Improvements in Upscaling of Pixel Art

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conference on signal processing: Algorithms, architectures, Arrangements, and Applications (SPA)

作者： Stasik, Pawel Marek Balcerek, Julian Poznan Univ Tech Div Signal Proc & Elect Syst Inst Automat & Robot Fac Comp Poznan Poland

ISBN: (纸本)9788362065301

In this paper two approaches to upscaling of low resolution bitmaps created using pixel art digital form are proposed. The methods are aimed to deal with limitations of classical and dedicated algorithms typically used in gaming applications. The proposed spatial methods, proximity-based coefficient correction and transition area restriction, lead to no limitations in scale factor in comparison to the existing pixel-art algorithms. Moreover, in contrast to the classical methods the proposed approaches allow to obtain undistorted and sharp resulting images.

关键词： image processing pixel-art image upscaling bitmap interpolation proximity measure proximity-based coefficient correction (PBCC) p-lin interpolation transition area restriction (TAR)

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conference on design and architectures for signal and image processing, dasip

Conference on Design and Architectures for Signal and Image ...

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conference on design and architectures for signal and image processing, dasip 2015

ISBN: (纸本)9791092279108

The proceedings contain 24 papers. The topics discussed include: real-time correlation for locating systems utilizing heterogeneous computing architectures;FPGA based system for real-time structure from motion computation;exploring custom heterogeneous MPSoCs for real-time neural signal decoding;compa backend: a dynamic runtime for the execution of dataflow programs onto multi-core platforms;demonstrating an FPGA implementation of a full HD real-time HEVC decoder with memory optimizations for range extensions support;fast and accurate power estimation for application-specific instruction set processors using FPGA emulation;selecting most profitable instruction-set extensions using ant colony heuristic;hardware implementation of a soft cancellation decoder for polar codes;and FPGA-based real-time MFCC extraction for automatic audio indexing on FM broadcast data.

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QMaZda - software tools for image analysis and pattern recognition 21

QMaZda - software tools for image analysis and pattern recog...

引用

conference on signal processing: Algorithms, architectures, Arrangements, and Applications (SPA)

作者： Szczypinski, Piotr M. Klepaczko, Artur Kociolek, Marcin Lodz Univ Technol Inst Elect Lodz Poland

ISBN: (纸本)9788362065301

Qmazda is a package of software tools for digital image analysis. They compute shape, color and texture attributes in arbitrary regions of interest, implement selected algorithms of discriminant analysis and machine learning, and enable texture based image segmentation. The algorithms generalize a concept of texture to three-dimensional data to enable analysis of volumetric images from magnetic resonance imaging or computed tomography scanners. The tools support a complete workflow from image examples as an input to classification rules as an output. The extracted knowledge can be further used in custom made image analysis systems. Here we also present an application of QMaZda to identify defective barley kernels. The cereal seeds variability is high, therefore, characterization and discriminant analysis of such the biological objects is challenging and non-trivial. The software is available free of charge and open source, with executables for Windows, Linux and OS X platforms.

关键词： feature extraction machine learning cereal grains

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Determining the Stroke Volume of the Artificial Ventricle Using the Numerical Integration Method 21

Determining the Stroke Volume of the Artificial Ventricle Us...

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conference on signal processing: Algorithms, architectures, Arrangements, and Applications (SPA)

作者： Sulej, Wojciech Murawski, Krzysztof Mil Univ Technol Kaliskiego Str 2 PL-01489 Warsaw Poland

ISBN: (纸本)9788362065301

This paper sets out and presents a new approach to determine the stroke volume of the artificial ventricle. The stroke volume of the chamber is one of the basic heart function parameters. For the artificial heart assist purpose, in the study this value is calculated based on the mapped shape of the flaccid membrane of the extracorporeal pneumatic heart assist pump. This is a continuation of the earlier work on the use of image processing and analysis techniques to determine the membrane shape and the stroke volume of an artificial ventricle. The study focused on the determining the stroke volume using the numerical integration method. To do this, the membrane shape in the actual dimensions in millimetres is first mapped, and then a double integral under this surface is calculated. The comparison of different ways of numerical integration for different sizes of the measurement matrix as well as the obtained results were presented.

关键词： image processing artificial ventricle stroke volume numerical integration

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designING EFFICIENT architectures FOR MODELING TEMPORAL FEATURES WITH CONVOLUTIONAL NEURAL NETWORKS

DESIGNING EFFICIENT ARCHITECTURES FOR MODELING TEMPORAL FEAT...

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

作者： Pons, Jordi Serra, Xavier Univ Pompeu Fabra Mus Technol Grp Barcelona Spain

ISBN: (纸本)9781509041176

Many researchers use convolutional neural networks with small rectangular filters for music (spectrograms) classification. First, we discuss why there is no reason to use this filters setup by default and second, we point that more efficient architectures could be implemented if the characteristics of the music features are considered during the design process. Specifically, we propose a novel design strategy that might promote more expressive and intuitive deep learning architectures by efficiently exploiting the representational capacity of the first layer - using different filter shapes adapted to fit musical concepts within the first layer. The proposed architectures are assessed by measuring their accuracy in predicting the classes of the Ballroom dataset. We also make available1 the used code (together with the audio-data) so that this research is fully reproducible.

关键词： Convolutional neural networks deep learning music classification information retrieval

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Background Modelling, Analysis and Implementation for Thermographic images 7

Background Modelling, Analysis and Implementation for Thermo...

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7th International conference on image processing Theory, Tools and Applications (IPTA)

作者： Shallari, Irida Anwar, Qaiser Imran, Muhammad O'Nils, Mattias Mid Sweden Univ Dept Elect Design Sundsvall Sweden

ISBN: (纸本)9781538618424

Background subtraction is one of the fundamental steps in the image-processing pipeline for distinguishing foreground from background. Most of the methods have been investigated with respect to visual images, in which case challenges are different compared to thermal images. Thermal sensors are invariant to light changes and have reduced privacy concerns. We propose the use of a low-pass IIR filter for background modelling in thermographic imagery due to its better performance compared to algorithms such as Mixture of Gaussians and K-nearest neighbour, while reducing memory requirements for implementation in embedded architectures. Based on the analysis of four different image datasets both indoor and outdoor, with and without people presence, the learning rate for the filter is set to 3x10-3 Hz and the proposed model is implemented on an Artix-7 FPGA.

关键词： Infrared visual pedestrian detection smart camera architecture surveillance

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