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International conference on Control, Automation and Systems ( ICCAS)

作者： YoungSu Moon Visual Display Division Samsung Electronics Co. Suwon-si Gyeonggi-do Korea

ISBN: (纸本)9781467390583

High dynamic range (HDR) technology is one of various research topics in computer vision technologies, which has been actively being applied to cutting-edge consumer electronics products such as premium UHDTV, premium smart phones and etc. In case of consumer camera devices or mobile camera phones, HDR scene capture mode is commonly provided by combining differently-exposed images with standard dynamic range (SDR). In consumer premium TVs, there exist two kinds of HDR processing technologies: one is a tone mapping (TM) to render HDR content on SDR display, and the other one is an inverse tone mapping (iTM) to render a SDR content on HDR display. Especially, in the case of HDR ton mapping, some metadata for adjusting radiometric difference between a reference mastering display and various consumer TV displays were standardized as well as HDR signal encoding method. Currently there exist various organizations related to HDR standards: UHD-Alliance, SMPTE, CTA, ITU-R, MPEG, DVB and etc. those HDR standard ecosystem members include movie studio, broadcasting, OTTs, TV/STB manufacturers, and etc. they have made efforts to create a next big opportunity of brand-new HDR technology on the basis of 4K UHD media. We will here review HDR technologies, standards, delivery system, and its CE industry trends.

关键词： TV image color analysis Dynamic range Cameras Metadata SMPTE

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AIM 2020 Challenge on Real image Super-Resolution: Methods and Results 16th

AIM 2020 Challenge on Real Image Super-Resolution: Methods a...

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Workshops held at the 16th European conference on Computer Vision, ECCV 2020

作者： Wei, Pengxu Lu, Hannan Timofte, Radu Lin, Liang Zuo, Wangmeng Pan, Zhihong Li, Baopu Xi, Teng Fan, Yanwen Zhang, Gang Liu, Jingtuo Han, Junyu Ding, Errui Xie, Tangxin Cao, Liang Zou, Yan Shen, Yi Zhang, Jialiang Jia, Yu Cheng, Kaihua Wu, Chenhuan Lin, Yue Liu, Cen Peng, Yunbo Zou, Xueyi Luo, Zhipeng Yao, Yuehan Xu, Zhenyu Zamir, Syed Waqas Arora, Aditya Khan, Salman Hayat, Munawar Khan, Fahad Shahbaz Ahn, Keon-Hee Kim, Jun-Hyuk Choi, Jun-Ho Lee, Jong-Seok Zhao, Tongtong Zhao, Shanshan Han, Yoseob Kim, Byung-Hoon Baek, JaeHyun Wu, Haoning Xu, Dejia Zhou, Bo Guan, Wei Li, Xiaobo Ye, Chen Li, Hao Zhong, Haoyu Shi, Yukai Yang, Zhijing Yang, Xiaojun Li, Xin Jin, Xin Wu, Yaojun Pang, Yingxue Liu, Sen Liu, Zhi-Song Wang, Li-Wen Li, Chu-Tak Cani, Marie-Paule Siu, Wan-Chi Zhou, Yuanbo Umer, Rao Muhammad Micheloni, Christian Cong, Xiaofeng Gupta, Rajat Ahn, Keon-Hee Kim, Jun-Hyuk Choi, Jun-Ho Lee, Jong-Seok Almasri, Feras Vandamme, thomas Debeir, Olivier Sun Yat-sen University Guangzhou China Harbin Institute of Technology University Harbin China Computer Vision Lab ETH Zurich Zurich Switzerland Baidu Research Silicon Valley United States Baidu Incorportation Silicon Valley United States China Electronic Technology Cyber Security Co. Ltd. Beijing China Guangdong OPPO Mobile Telecommunications Corp. Ltd. Dongguan China NetEase Games AI Lab Beijing China Noah’s Ark Lab Huawei Beijing China Co. Ltd. Shanghai China Beijing China Yonsei University Seodaemun-gu Korea Republic of Dalian Maritime Univerity Dalian China New Mexico United States Daejeon Korea Republic of Seattle United States Peking University Beijing China Jiangnan University Jiangnan China Karlsruher Institut fuer Technologie Karlsruher Germany Tongji University Tongji China Guangdong University of Technology Tongji China University of Science and Technology of China Hefei China Palaiseau France Center of Multimedia Signal Processing The Hong Kong Polytechnic University Hong Kong China Fuzhou University Fuzhou Fujian China University of Udine Udine Italy Indian Institute of Technology Khargapur India National University of Defense Technology Changsha China LISA Department Universie Libre de Bruxelles Brussels Belgium

ISBN: (纸本)9783030670696

this paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. this challenge involves three tracks to super-resolve an input image for × 2, × 3 and × 4 scaling factors, respectively. the goal is to attract more attention to realistic image degradation for the SR task, which is much more complicated and challenging, and contributes to real-world image super-resolution applications. 452 participants were registered for three tracks in total, and 24 teams submitted their results. they gauge the state-of-the-art approaches for real image SR in terms of PSNR and SSIM. © 2020, Springer Nature Switzerland AG.

关键词： Optical resolving power

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Comparisons of Various imagery Models in Predicting Visual imagery Using Color-Apparel image Samples

Comparisons of Various Imagery Models in Predicting Visual I...

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2012 4th International conference on Environmental Science and Information Application Technology(ESIAT 2012)

作者： Wen-Guey Kuo Yuh-Chang Wei Chung-Kan Lee Department of Textile Engineering Chinese Culture University Institute of Information Communications Chinese Culture University

One of the most important functions for the image & video signal processing, machine vision and human-machine Interface or industry application is to process color information, to simulate visual color-sensation or color-specification or color imagery. In addition, color imagery has been investigated using specific pattern samples with the exception of textile specimens for about six decades since the semantics differential theory proposed by Torgerson. And, so far, there are three celebrated color imagery models proposed by Ou et al. (abbreviated as the Ou1 and Ou2 for single color and two color-combinations respectively) and Kuo (as the Kuo) separately. A color psychophysical experiment with 186 fashion-apparel images containing 141 ones in which the fashion apparels are with two-color combinations was conducted, and the experimental visual results were used to estimate the performance of those three models in predicting visual color imagery. the results indicates that although all three color-imagery models tested have better performance in predicting the visual color-imagery of Heavy-Light imagery scale values than those of the other two imagery scale values of Beautiful-Ugly and Various-Steady, on the whole the three models tested still cannot have good agreement between their predictions and visual results of color imagery. Meanwhile, this finding may obviously shows that a more precise color-imagery estimating model still needs to be developed for the fashion apparels with multiple-color combinations.

关键词： Color imagery, Multiple-color combination, Performance, Agreement

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4th National conference on Speech,image,Communication,and signal processing,held in Beijing,25—27 October 1989

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Chinese Journal of Acoustics 1990年第2期9卷 183-183页

作者： ZHANG Jialu

the 4th National conference on Speech,image,Communication and signal Pro-cessing,which was sponsored by the Institute of Speech,Hearing,and Music Acoustics,Acoustical Society of China and the Institute of signal processing,Electronic Society ofChina,was held,25—27 October,1989,at Beijing Institute of Post and *** conference drew a registration of 150 from different places in the country,which made it the largest conference in the last eight *** president of Institute of Speech,Hearing,and Music Acoustics,ASC,professorZHANG Jialu made a openning speech at the openning session,and the honorary presi-dent of Acoustical Society of China,professor MAA Dah-You and the president of

关键词： October 1989 National conference on Speech,image,Communication,and signal processing,held in Beijing,25

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EEGNET: A Novel Tool for processing and Mapping EEG Functional Networks

EEGNET: A Novel Tool for Processing and Mapping EEG Function...

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International IEEE/EMBS conference on Neural Engineering

作者： M. Shamas F. Wendling W. El Falou M. Hassan Lebanese university Université de Rennes 1 France Laboratoire de Traitement du Signal et de L'image (LTSI) Université de Rennes 1 France AZM pour la recherche en biotechnologie et ses applications Lebanese university

Due to its excellent temporal resolution, the Electroencephalogram (EEG) has become a key neuroimaging technique to analyze functional brain networks at scalp level (electrodes) and at reconstructed sources (inverse problem). However, a tool that can analyze EEG recordings, from raw signals 2D/3D brain networks is still missing. Here, we propose a MATLAB-based pipeline, called EEGNET, to process EEG signals and represent corresponding functional brain networks. It includes: 1) Preprocessing of the EEG signals, 2) Solving the inverse problem/reconstructing the cortical sources, 3) Computing the functional connectivity at source level, 4) Calculating the network measures and 5) Visualizing 2D and 3D brain networks. the software is carefully designed to enclose these different phases. the first version of EEGNET is easy to use, flexible and user friendly. Moreover EEGNET is an open source tool and can be freely downloaded from the internet after publication.

关键词： Electroencephalography three-dimensional displays Electrodes Scalp Visualization MATLAB

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Intelligent Elevator Safety Supervision System Combined with Battery Car Identification 22

Intelligent Elevator Safety Supervision System Combined with...

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Proceedings of the 2022 4th International conference on Video, signal and image processing

作者： Shibo Guo Kang Zhang Zhiyan Zhou Xinyu Zhou Weiyu Gong Zhenghao Wang Kaiyue Zhu Haibin Wu Aili Wang School of Measurement-Control Technology and Communications Engineering Harbin University of Science and Technology China

ISBN: (纸本)9781450397810

In recent years, elevator safety accidents occur frequently, and relevant news has aroused people's strong attention to elevator safety. Among them, electric vehicle explosion accident hot spot is the highest. In this paper, according to the elevator safety hazard source (including illegal vehicle such as storage battery into, passengers trapped, robbed or distress due to illness, the elevator is high concentration flammable gases or burning smoke) design storage battery detection module, voice call module, combustible gas monitoring module for joint operations, monitoring, alarm, the outside world communication as one of the complete system. the system uses Arduino Mega 2560 as the main control chip, ESP32-CAM wireless camera module uses the improved YOLOv4 model for real-time analysis and processing of illegal vehicles, LD3320 speech recognition module and SYN6288 Chinese speech synthesis chip to achieve the voice call function. MQ-2 gas sensitive smoke sensor and LCD1602 LIQUID crystal display module to achieve gas monitoring function, HC-05 Bluetooth module to achieve communication function feedback alarm information to the elevator monitoring and management center, if necessary, can automatically call the alarm phone. the experiment shows that the detection confidence of battery car in elevator environment can reach 0.75, the recognition accuracy of voice call in quiet environment is 96%, and the recognition accuracy of voice call in noise environment is 90%. the alarm can be realized by combustible gas monitoring. the system can monitor the hidden danger in the elevator in real time, solve the problems such as the elevator supervision is weak, the emergency rescue is not timely, improve the efficiency of solving the elevator safety problems.

关键词： voice call combustible gas monitoring battery car identification ASPP-YOLOv4

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Application and research of geologic radar in groundwater disease of tunnel engineering inspection

Application and research of geologic radar in groundwater di...

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the 4th International conference on Environmental and Engineering Geophysics

作者： Yu Wang~(1,2),Minan Tang~3,Zhenzhong Han~4,Shengxie Xiao~2,Yuancai Zhang~1 1.Chongqing Jiaotong University,Chongqing,400074,China 2.Chengdu University of Technology,State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu 610059,China 3.North China University of Water Conservancy and Electric Power,Zhengzhou 450011,China 4.Guizhou traffic engineering quality supervision station,Guiyang 550004,China

As a kind of underground lineament building,the tunnel inevitably will pass through different hydrology geology in construction process and thus form a catchment corridor which usually occurs in most of *** water and water logging is a common geological disaster and the main disease both in the construction tunnels and operation *** it is urgent for us to carry through the research on the geological disaster of *** Inspecting and controlling measures against the ground water geological disaster are also *** this paper,Geologic Radar is applied to tunnel engineering quality inspection to detect some quality problems possibly caused by *** order to diagnose the disease degree of operation tunnels and to estimate tunnel's security condition,this paper analyzes the causes of bugs existing behind the tunnel lining, expounds the theory and method of making non-destructive test on tunnel lining quality by using Geological *** processing and analyzing field data,the following functions can be performed,such as detecting the thickness of concrete lining accurately,determining the distribution position and quantities of rebar and grid steel,searching existed cavity and uncompacted area behind the lining especially lining arch *** also apply the method of morphology to the extraction of liner image *** get the liner boundary line and water logging area more intuitively by wavelet analysis,and find the anomalous point in the *** has been proved that Geologic Radar is a feasible method to inspect the structure of tunnel concrete *** hole-drilling method to make verifications with detecting results of geological radar,the results of the two kinds of methods do not have big difference.

关键词： Geologic Radar tunnel Groundwater Inspection

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Real-Time Fault Detection and Diagnosis Method for Industrial Chemical Tennessee Eastman Process

Real-Time Fault Detection and Diagnosis Method for Industria...

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International conference on Control, Decision and Information Technologies (CoDIT)

作者： Khadija Attouri Majdi Mansouri Mansour Hajji Abdelmalek Kouadri Kais Bouzrara Hazem Nounou Institut Superieur des Sciences Appliques et de Technologie de Kasserine Kairouan University Tunisia The Department of Electrical and Computer Engineering Program Texas A&M University at Qatar Doha Qatar Signals and Systems Laboratory Institute of Electrical and Electronics Engineering University M Hamed Bougara of Boumerdes Boumerdes Algeria The Research Laboratory of Automation Signal Processing and Image National Engineering School of Monastir Tunisia

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

the accurate detection and diagnosis of faults are critical for maintaining optimal operation and ensuring the reliability of industrial processes. Notably, the topic of online fault detection and diagnosis has recently presented a significant challenge. this work mainly deploys a neural network technique for the comprehensive detection and diagnosis of faults within the Tennessee Eastman Process (TEP) on a low-computational power system, the Raspberry Pi board. the devolved methodology showcases a remarkable level of accuracy (94.50%) in diagnosing the various TEP faults, affirming its robustness and effectiveness. To elevate the practical applicability of the proposed approach, a meticulous investigation into the implementation of the suggested approach on a Raspberry Pi 4 card was undertaken. the successful realization of this implementation not only highlights the adaptability of the approach but also paves the way for its seamless integration into practical industrial applications.

关键词： Accuracy Embedded systems Fault detection Neural networks Electrical fault detection Real-time systems Robustness Power system reliability Information technology Chemicals

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Pipeline and Parallel Processor Architecture for Fast Computation of 3D-DWT using Modified Lifting Scheme

Pipeline and Parallel Processor Architecture for Fast Comput...

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International conference on Wireless Communications, signal processing and Networking

作者： C. Ashok Kumar B. K. Madhavi K. Lalkishore Department of ECE CMR Engineering College Department of ECE Sridevi Women Engineering College Department of ECE JNTU Anantapur

ISBN: (纸本)9781467393393

A pipelined parallel processing 3D DWT architecture is designed in this paper based on lifting scheme algorithm with 9/7 wavelet filters. the 3D DWT architecture process a 512×512 image with 8 groups of frames sequentially with improved throughput. the first stage computes 1D-DWT along the rows with 4 parallel processors, the memory interface with FIFO reduces latency between first stage and second stage that computes 2D DWT computation. 3D DWT computes wavelet coefficients in the temporal direction and designed to operate from 512*4 clock cycles in sequence along with 1D and 2D DWT computation. the FIFO designed synchronizes the data movement. Memories at every stage are designed to store the parallel processed data. the proposed architecture has high performance and is suitable for high speed, low power and portable applications. With utilization of 51% of slice registers 3D-DWT architecture implemented on Virtex-5 FPGA and frequency of operation is 373 MHz. the designed DWT-IDWT can be used as IP Core.

关键词： Lifting scheme Pipelined architecture 3D DWT Parallel processing FPGAs

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Analysis and Modeling of Electroencephalography Bio signals based on Motor imagery for Rehabilitation

Analysis and Modeling of Electroencephalography Bio Signals ...

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Science and Information Technology in Smart Administration (ICSINTESA), International conference of

作者： Zhuoxuan Lee Irraivan Elamvazuthi Azrina A Aziz Amaramalar Selvi Naicker Khoo Ching Soong Hanani Abdul Manan Elango Natarajan Department of Electrical and Electronic Engineering Smart Assistive and Rehabilitative Technology (SMART) Research Group Universiti Teknologi PETRONAS Bandar Seri Iskandar Malaysia Department of Orthopaedics & Traumatology Faculty of Medicine Rehabilitation Medicine Unit Universiti Kebangsaan Malaysia Cheras Kuala Lumpur Malaysia Department of Medicine Faculty of Medicine Neurology Unit Universiti Kebangsaan Malaysia Medical Centre Cheras Kuala Lumpur Malaysia Department of Radiology Faculty of Medicine Makmal Pemprosesan Imej Kefungsian (Functional Image Processing Lab) Universiti Kebangsaan Malaysia Cheras Kuala Lumpur Malaysia Faculty of Engineering Technology and Built Environment UCSI University Cheras Kuala Lumpur Malaysia

ISBN: (数字)9798350376111

ISBN: (纸本)9798350376128

the goal of rehabilitation is to aid individuals in their recovery from any resulting physical, cognitive, and functional deficits of stroke. However, the use of traditional rehabilitation often involves physical therapy, which can be labour-intensive and costly. the study investigates the potential of Electroencephalography (EEG) bio signals recorded during motor imagery tasks as a non-invasive tool for stroke rehabilitation. Concurrently, upper limb mobility is prioritized, where the electrical activity will be monitored during the motor imagery task. there are 5 major stages to modeling the EEG signals: data acquisition, signal processing, feature extraction, classification, model evaluation, and validation. EEG-NIRS hybrid braincomputer interfaces (BCIs) dataset that has been open-sourced since 2016 was acquired. Next, time domain features such as skewness, kurtosis, median, mean, and variance were extracted from the EEG signals. After splitting the data into training and testing sets, the study employs classifiers, including SVM, LDA, KNN, and Random Forest utilizing both MATLAB and WEKA. Model validation is performed using k-fold cross-validation and (train-test split) hold-out validation.

关键词： Support vector machines Biological system modeling Nearest neighbor methods Brain modeling Motors Feature extraction Electroencephalography Mathematical models Time-domain analysis Biomedical imaging

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