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Design and Implementation of Image Processing and Compression Algorithms for a Miniature Embedded Eye Tracking System Pavel Morozkin
Design and implementation of image processing and compression algorithms for a miniature embedded eye tracking system Pavel Morozkin To cite this version: Pavel Morozkin. Design and implementation of image processing and compression algorithms for a miniature embedded eye tracking system. Signal and Image processing. Sorbonne Université, 2018. English. NNT : 2018SORUS435. tel-02953072 HAL Id: tel-02953072 https://tel.archives-ouvertes.fr/tel-02953072 Submitted on 29 Sep 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Sorbonne Université Institut supérieur d’électronique de Paris (ISEP) École doctorale : « Informatique, télécommunications & électronique de Paris » Design and Implementation of Image Processing and Compression Algorithms for a Miniature Embedded Eye Tracking System Par Pavel MOROZKIN Thèse de doctorat de Traitement du signal et de l’image Présentée et soutenue publiquement le 29 juin 2018 Devant le jury composé de : M. Ales PROCHAZKA Rapporteur M. François-Xavier COUDOUX Rapporteur M. Basarab MATEI Examinateur M. Habib MEHREZ Examinateur Mme Maria TROCAN Directrice de thèse M. Marc Winoc SWYNGHEDAUW Encadrant Abstract Human-Machine Interaction (HMI) progressively becomes a part of coming future. Being an example of HMI, embedded eye tracking systems allow user to interact with objects placed in a known environment by using natural eye movements. -
Institute for Clinical and Economic Review
INSTITUTE FOR CLINICAL AND ECONOMIC REVIEW FINAL APPRAISAL DOCUMENT CORONARY COMPUTED TOMOGRAPHIC ANGIOGRAPHY FOR DETECTION OF CORONARY ARTERY DISEASE January 9, 2009 Senior Staff Daniel A. Ollendorf, MPH, ARM Chief Review Officer Alexander Göhler, MD, PhD, MSc, MPH Lead Decision Scientist Steven D. Pearson, MD, MSc President, ICER Associate Staff Michelle Kuba, MPH Sr. Technology Analyst Marie Jaeger, B.S. Asst. Decision Scientist © 2009, Institute for Clinical and Economic Review 1 CONTENTS About ICER .................................................................................................................................. 3 Acknowledgments ...................................................................................................................... 4 Executive Summary .................................................................................................................... 5 Evidence Review Group Deliberation.................................................................................. 17 ICER Integrated Evidence Rating.......................................................................................... 25 Evidence Review Group Members........................................................................................ 27 Appraisal Overview.................................................................................................................. 30 Background ................................................................................................................................ 33 -
Acronyms Abbreviations &Terms
Acronyms Abbreviations &Terms A Capability Assurance Job Aid FEMA P-524 / July 2009 FEMA Acronyms Abbreviations and Terms Produced by the National Preparedness Directorate, National Integration Center, Incident Management Systems Integration Division Please direct requests for additional copies to: FEMA Publications (800) 480-2520 Or download the document from the Web: www.fema.gov/plan/prepare/faat.shtm U.S. Department of Homeland Security Federal Emergency Management Agency The FEMA Acronyms, Abbreviations & Terms (FAAT) List is not designed to be an authoritative source, merely a handy reference and a living document subject to periodic updating. Inclusion recognizes terminology existence, not legitimacy. Entries known to be obsolete (see new “Obsolete or Replaced” section near end of this document) are included because they may still appear in extant publications and correspondence. Your comments and recommendations are welcome. Please electronically forward your input or direct your questions to: [email protected] Please direct requests for additional copies to: FEMA Publications (800) 480-2520 Or download the document from the Web: www.fema.gov/plan/prepare/faat.shtm 2SR Second Stage Review ABEL Agent Based Economic Laboratory 4Wd Four Wheel Drive ABF Automatic Broadcast Feed A 1) Activity of Isotope ABHS Alcohol Based Hand Sanitizer 2) Ampere ABI Automated Broker Interface 3) Atomic Mass ABIH American Board of Industrial Hygiene A&E Architectural and Engineering ABIS see IDENT A&FM Aviation and Fire Management ABM Anti-Ballistic Missile -
Parallel Heterogeneous Computing a Case Study on Accelerating JPEG2000 Coder
Parallel Heterogeneous Computing A Case Study On Accelerating JPEG2000 Coder by Ro-To Le M.Sc., Brown University; Providence, RI, USA, 2009 B.Sc., Hanoi University of Technology; Hanoi, Vietnam, 2007 A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in The School of Engineering at Brown University PROVIDENCE, RHODE ISLAND May 2013 c Copyright 2013 by Ro-To Le This dissertation by Ro-To Le is accepted in its present form by The School of Engineering as satisfying the dissertation requirement for the degree of Doctor of Philosophy. Date R. Iris Bahar, Ph.D., Advisor Date Joseph L. Mundy, Ph.D., Advisor Recommended to the Graduate Council Date Vishal Jain, Ph.D., Reader Approved by the Graduate Council Date Peter M. Weber, Dean of the Graduate School iii Vitae Roto Le was born in Duc-Tho, Ha-Tinh, a countryside area in the Midland of Vietnam. He received his B.Sc., with Excellent Classification, in Electronics and Telecommunications from Hanoi University of Technology in 2007. Soon after re- ceiving his B.Sc., Roto came to Brown University to start a Ph.D. program in Com- puter Engineering in Fall 2007. His Ph.D. program was sponsored by a fellowship from the Vietnam Education Foundation, which was selectively nominated by the National Academies’ scientists. During his Ph.D. program, he earned a M.Sc. degree in Computer Engineering in 2009. Roto has been studying several aspects of modern computing systems, from hardware architecture and VLSI system design to high-performance software design. He has published several articles in designing a parallel JPEG2000 coder based on heterogeneous CPU-GPGPU systems and designing novel Three-Dimensional (3D) FPGA architectures. -
Move Ban for Industry Types
Urm twr MATAWAN, N. J., THURSDAY, MARCH 7, 1963 M«mbnr 84th YEAR — 36th WEEK National Editorial Au o c IqUom New Jtrte y I*rca»a Association Single Copy Tea Cent* Cliffwood Beach Man Killed hi Houle 35 rl. ruck-Car Accident Ifr ) w ; r Smoky Blaze lakes Three Lives In Keyport M m m i lyes Candidates Kowalski, Devino i Seek Nominations ^ , Frank Devmo-und bi^numd Ko- i walskt ihis week announced they i ! will seek the Republican nominii-! Peter C. Olson, 71, ot Cliffwood Beach was fatally injured Friday i highway.' The (ruck driver, Richard Watkins, Brooklyn, Juckkmfed his evening <vlu>n his car collided with a ttiictor-traller on Route 33, mirth, vehicle an ho attempted to avoid tlie crash. The Olsen car is shown m of lluilet Ave-, Rarltun Township. The accident occurred when Mr.: Ihe background. Olsen was leaving a parking lot, attempting to enter the snow-sllckcd • j . _ ‘ FRANK DEVINO At School R e g io n a l Bill M e e t lion m next month s pi unary elec Applegate, H yrne tion as candidates tor two seats Beginning next month, ull reg- 1 on the M aiaw an low nship u>mm>i. Assemblyman Clifton T. Barka- i irst aid oTuirts to save the lives of three persons t men and-M r. Klelnschnm ll was found in an upstair* uiarly scheduled meetings of (lie i let? to be idled this year. 1 lnw, Monmouth. and Joseph Min- • faded last night when a smoky wall fire charred and; bedroom. -
Designing and Developing a Model for Converting Image Formats Using Java API for Comparative Study of Different Image Formats
International Journal of Scientific and Research Publications, Volume 4, Issue 7, July 2014 1 ISSN 2250-3153 Designing and developing a model for converting image formats using Java API for comparative study of different image formats Apurv Kantilal Pandya*, Dr. CK Kumbharana** * Research Scholar, Department of Computer Science, Saurashtra University, Rajkot. Gujarat, INDIA. Email: [email protected] ** Head, Department of Computer Science, Saurashtra University, Rajkot. Gujarat, INDIA. Email: [email protected] Abstract- Image is one of the most important techniques to Different requirement of compression in different area of image represent data very efficiently and effectively utilized since has produced various compression algorithms or image file ancient times. But to represent data in image format has number formats with time. These formats includes [2] ANI, ANIM, of problems. One of the major issues among all these problems is APNG, ART, BMP, BSAVE, CAL, CIN, CPC, CPT, DPX, size of image. The size of image varies from equipment to ECW, EXR, FITS, FLIC, FPX, GIF, HDRi, HEVC, ICER, equipment i.e. change in the camera and lens puts tremendous ICNS, ICO, ICS, ILBM, JBIG, JBIG2, JNG, JPEG, JPEG 2000, effect on the size of image. High speed growth in network and JPEG-LS, JPEG XR, MNG, MIFF, PAM, PCX, PGF, PICtor, communication technology has boosted the usage of image PNG, PSD, PSP, QTVR, RAS, BE, JPEG-HDR, Logluv TIFF, drastically and transfer of high quality image from one point to SGI, TGA, TIFF, WBMP, WebP, XBM, XCF, XPM, XWD. another point is the requirement of the time, hence image Above mentioned formats can be used to store different kind of compression has remained the consistent need of the domain. -
Image Data Compression
Report Concerning Space Data System Standards IMAGE DATA COMPRESSION INFORMATIONAL REPORT CCSDS 120.1-G-2 GREEN BOOK February 2015 Report Concerning Space Data System Standards IMAGE DATA COMPRESSION INFORMATIONAL REPORT CCSDS 120.1-G-2 GREEN BOOK February 2015 CCSDS REPORT CONCERNING IMAGE DATA COMPRESSION AUTHORITY Issue: Informational Report, Issue 2 Date: February 2015 Location: Washington, DC, USA This document has been approved for publication by the Management Council of the Consultative Committee for Space Data Systems (CCSDS) and reflects the consensus of technical panel experts from CCSDS Member Agencies. The procedure for review and authorization of CCSDS Reports is detailed in Organization and Processes for the Consultative Committee for Space Data Systems (CCSDS A02.1-Y-4). This document is published and maintained by: CCSDS Secretariat National Aeronautics and Space Administration Washington, DC, USA E-mail: [email protected] CCSDS 120.1-G-2 Page i February 2015 CCSDS REPORT CONCERNING IMAGE DATA COMPRESSION FOREWORD Through the process of normal evolution, it is expected that expansion, deletion, or modification of this document may occur. This Report is therefore subject to CCSDS document management and change control procedures, which are defined in Organization and Processes for the Consultative Committee for Space Data Systems (CCSDS A02.1-Y-4). Current versions of CCSDS documents are maintained at the CCSDS Web site: http://www.ccsds.org/ Questions relating to the contents or status of this document should be sent to the CCSDS Secretariat at the e-mail address indicated on page i. CCSDS 120.1-G-2 Page ii February 2015 CCSDS REPORT CONCERNING IMAGE DATA COMPRESSION At time of publication, the active Member and Observer Agencies of the CCSDS were: Member Agencies – Agenzia Spaziale Italiana (ASI)/Italy. -
Integrating Behavioral Health Into Primary Care
Integrating Behavioral Health into Primary Care A Technology Assessment Final Report June 2, 2015 Completed by: Institute for Clinical and Economic Review ©Institute for Clinical and Economic Review, 2015 i AUTHORS: Jeffrey A. Tice, MD Associate Professor of Medicine, Division of General Internal Medicine, Department of Medicine, University of California San Francisco Daniel A. Ollendorf, PhD Chief Review Officer, Institute for Clinical and Economic Review Sarah Jane Reed, MSc Program Director, Institute for Clinical and Economic Review Karen K. Shore, PhD Program Director, Institute for Clinical and Economic Review Jed Weissberg, MD, FACP Senior Fellow, Institute for Clinical and Economic Review Steven D. Pearson, MD, MSc President, Institute for Clinical and Economic Review DATE OF PUBLICATION: June 2, 2015 We wish to thank all of the national and program experts for their time participating in key informant interviews for this report. We would also like to thank Erin Lawler, Anne Loos, Matt Seidner, and Patricia Synnott of ICER for their contributions to this report. ©Institute for Clinical and Economic Review, 2015 ii About ICER The Institute for Clinical and Economic Review (ICER) is an independent non-profit research organization that evaluates medical evidence and convenes public deliberative bodies to help stakeholders interpret and apply evidence to improve patient outcomes and control costs. ICER receives funding from government grants, non-profit foundations, health plans, provider groups, and health industry manufacturers. Through all its work, ICER seeks to help create a future in which collaborative efforts to move evidence into action provide the foundation for a more effective, efficient, and just health care system. -
Performance Evaluation of Data Compression Systems Applied to Satellite Imagery
Hindawi Publishing Corporation Journal of Electrical and Computer Engineering Volume 2012, Article ID 471857, 15 pages doi:10.1155/2012/471857 Research Article Performance Evaluation of Data Compression Systems Applied to Satellite Imagery Lilian N. Faria,1 Leila M. G. Fonseca,1 and Max H. M. Costa2 1 Image Processing Division, National Institute for Space Research (INPE), 12227-001 Sao˜ Jos´e dos Campos, SP, Brazil 2 School of Electrical and Computer Engineering, University of Campinas (Unicamp), 13083-852 Campinas, SP, Brazil Correspondence should be addressed to Lilian N. Faria, [email protected] Received 30 June 2011; Revised 30 September 2011; Accepted 27 October 2011 Academic Editor: Bruno Aiazzi Copyright © 2012 Lilian N. Faria et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Onboard image compression systems reduce the data storage and downlink bandwidth requirements in space missions. This paper presents an overview and evaluation of some compression algorithms suitable for remote sensing applications. Prediction-based compression systems, such as DPCM and JPEG-LS, and transform-based compression systems, such as CCSDS-IDC and JPEG- XR, were tested over twenty multispectral (5-band) images from CCD optical sensor of the CBERS-2B satellite. Performance evaluation of these algorithms was conducted using both quantitative rate-distortion measurements and subjective image quality analysis. The PSNR, MSSIM, and compression ratio results plotted in charts and the SSIM maps are used for comparison of quantitative performance. Broadly speaking, the lossless JPEG-LS outperforms other lossless compression schemes, and, for lossy compression,JPEG-XRcanprovidelowerbitrateandbettertradeoff between compression ratio and image quality. -
An Exploration of the Operational Ramifications of Lossless Compression of 1000 Ppi Fingerprint Imagery
NISTIR 7779 - An Exploration of the Operational Ramifications of Lossless Compression of 1000 ppi Fingerprint Imagery NISTIR 7779 An Exploration of the Operational Ramifications of Lossless Compression of 1000 ppi Fingerprint Imagery Shahram Orandi John M. Libert John D. Grantham Kenneth Ko Stephen S. Wood Jin Chu Wu Lindsay M. Petersen Bruce Bandini http://dx.doi.org/10.6028/NIST.IR.7779 PAGE 1 OF 52 NISTIR 7779 - An Exploration of the Operational Ramifications of Lossless Compression of 1000 ppi Fingerprint Imagery PAGE 2 OF 52 NISTIR 7779 - An Exploration of the Operational Ramifications of Lossless Compression of 1000 ppi Fingerprint Imagery NISTIR 7779 An Exploration of the Operational Ramifications of Lossless Compression of 1000 ppi Fingerprint Imagery Shahram Orandi John M. Libert Kenneth Ko Stephen S. Wood Jin Chu Wu Information Access Division - Image Group Information Technology Laboratories John D. Grantham Systems Plus, Inc. Lindsay M. Petersen MITRE Corporation Bruce Bandini Booz Allen Hamilton, Inc. http://dx.doi.org/10.6028/NIST.IR.7779 August 2012 U.S. Department of Commerce Rebecca Blank, Acting Secretary National Institute of Standards and Technology Patrick D. Gallagher, Under Secretary of Commerce for Standards and Technology and Director PAGE 3 OF 52 NISTIR 7779 - An Exploration of the Operational Ramifications of Lossless Compression of 1000 ppi Fingerprint Imagery PAGE 4 OF 52 NISTIR 7779 - An Exploration of the Operational Ramifications of Lossless Compression of 1000 ppi Fingerprint Imagery ACKNOWLEDGEMENTS The authors wish to give special thanks to the following individuals and organizations for their support of this work: Federal Bureau of Investigation for all their support throughout this study T.J. -
Lossless Compression of Classification Map Images
IPN Progress Report 42-169 May 15, 2007 Lossless Compression of Classification Map Images H. Xie1 and M. Klimesh1 A classification map is an image that provides a low-level content description of a corresponding remote-sensing image. Each “pixel” in the map is the index of a class that represents some type of content, such as a type of vegetation or mineral, in the corresponding spatial location of the remote-sensing image. Classification maps generated onboard a spacecraft may be used as part of a region-of-interest image data compression scheme, and/or to provide low-data-volume summaries of the remote-sensing images. In either case, it is desirable to losslessly compress classification maps prior to transmission. In this article, we describe a technique for lossless compression of classification maps. Compression tests on sample classi- fication maps indicate that our technique yields considerable improvement, e.g., a 15 to 40 percent bit-rate reduction, as compared to existing general-purpose lossless image compression methods. I. Introduction A classification map is an image that provides a low-level content description of a corresponding remote-sensing image. This description is in terms of a (typically small) number of classes, each of which is designed to represent some type of image content, such as a type of vegetation or mineral. Each “pixel” value in the map is the index of the class that (ideally) best describes the scene content in the corresponding spatial location in the remote-sensing image. A common method of producing a classification map is to use a support vector machine (SVM) classifier [3,8]; Fig. -
Pictorial Index for Safety and Security 2 Instrument Cluster
Pictorial index Search by illustration For safety 1 Make sure to read through them and security How to read the gauges and meters, the variety of 2 Instrument cluster warning lights and indicators, etc. Operation of 3 Opening and closing the doors and windows, each component adjustment before driving, etc. Operations and advices which are necessary for 4 Driving driving Operating the audio system and Lexus Display Audio 5 Audio system system 6 Interior features Usage of the interior features, etc. Maintenance 7 Caring for your vehicle and maintenance procedures and care When trouble 8 What to do in case of malfunction or emergency arises Vehicle 9 Vehicle specifications, customizable features, etc. specifications Reporting safety defects for US owners, and seat belt 10 For owners and SRS airbag instructions for Canadian owners Search by symptom Index Search alphabetically CT200h_OM_OM76101U_(U) 2 TABLE OF CONTENTS For your information................................. 10 2 Reading this manual...................................16 Instrument cluster How to search..............................................17 Pictorial index...............................................18 2. Instrument cluster Warning lights and 1 For safety and security indicators.......................................88 Gauges and meters..................... 92 1-1. For safe use Multi-information display.......... 96 Before driving.................................30 Energy monitor/ consumption screen................. 99 For safety drive..............................