Digital Video Quality Handbook Appendix
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Adaptive Quantization Matrices for High Definition Resolutions in Scalable HEVC
Original citation: Prangnell, Lee and Sanchez Silva, Victor (2016) Adaptive quantization matrices for HD and UHD display resolutions in scalable HEVC. In: IEEE Data Compression Conference, Utah, United States, 31 Mar - 01 Apr 2016 Permanent WRAP URL: http://wrap.warwick.ac.uk/73957 Copyright and reuse: The Warwick Research Archive Portal (WRAP) makes this work by researchers of the University of Warwick available open access under the following conditions. Copyright © and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable the material made available in WRAP has been checked for eligibility before being made available. Copies of full items can be used for personal research or study, educational, or not-for profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way. Publisher’s statement: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. A note on versions: The version presented here may differ from the published version or, version of record, if you wish to cite this item you are advised to consult the publisher’s version. -
Dell 24 USB-C Monitor - P2421DC User’S Guide
Dell 24 USB-C Monitor - P2421DC User’s Guide Monitor Model: P2421DC Regulatory Model: P2421DCc NOTE: A NOTE indicates important information that helps you make better use of your computer. CAUTION: A CAUTION indicates potential damage to hardware or loss of data if instructions are not followed. WARNING: A WARNING indicates a potential for property damage, personal injury, or death. Copyright © 2020 Dell Inc. or its subsidiaries. All rights reserved. Dell, EMC, and other trademarks are trademarks of Dell Inc. or its subsidiaries. Other trademarks may be trademarks of their respective owners. 2020 – 03 Rev. A01 Contents About your monitor ......................... 6 Package contents . 6 Product features . .8 Identifying parts and controls . .9 Front view . .9 Back view . 10 Side view. 11 Bottom view . .12 Monitor specifications . 13 Resolution specifications . 14 Supported video modes . 15 Preset display modes . 15 MST Multi-Stream Transport (MST) Modes . 16 Electrical specifications. 16 Physical characteristics. 17 Environmental characteristics . 18 Power management modes . 19 Plug and play capability . 25 LCD monitor quality and pixel policy . 25 Maintenance guidelines . 25 Cleaning your monitor. .25 Setting up the monitor...................... 26 Attaching the stand . 26 │ 3 Connecting your monitor . 28 Connecting the DP cable . 28 Connecting the monitor for DP Multi-Stream Transport (MST) function . 28 Connecting the USB Type-C cable . 29 Connecting the monitor for USB-C Multi-Stream Transport (MST) function. 30 Organizing cables . 31 Removing the stand . 32 Wall mounting (optional) . 33 Operating your monitor ..................... 34 Power on the monitor . 34 USB-C charging options . 35 Using the control buttons . 35 OSD controls . 36 Using the On-Screen Display (OSD) menu . -
Jigsaw: Robust Live 4K Video Streaming
Jigsaw: Robust Live 4K Video Streaming Ghufran Baig1∗, Jian He1∗, Mubashir Adnan Qureshi1, Lili Qiu1, Guohai Chen2, Peng Chen2, Yinliang Hu2 1University of Texas at Austin, 2Huawei ABSTRACT KEYWORDS The popularity of 4K videos has grown significantly in the 4k Video; Live streaming; 60 GHz; Layered coding past few years. Yet coding and streaming live 4K videos incurs ACM Reference Format: prohibitive cost to the network and end system. Motivated Ghufran Baig1∗, Jian He1∗, Mubashir Adnan Qureshi1, Lili Qiu1, by this observation, we explore the feasibility of supporting Guohai Chen2, Peng Chen2, Yinliang Hu2 . 2019. Jigsaw: Robust Live live 4K video streaming over wireless networks using com- 4K Video Streaming. In The 25th Annual International Conference modity devices. Given the high data rate requirement of 4K on Mobile Computing and Networking (MobiCom ’19), October 21– videos, 60 GHz is appealing, but its large and unpredictable 25, 2019, Los Cabos, Mexico. ACM, New York, NY, USA, 16 pages. throughput fluctuation makes it hard to provide desirable https://doi.org/10.1145/3300061.3300127 user experience. In particular, to support live 4K video stream- ing, we should (i) adapt to highly variable and unpredictable 1 INTRODUCTION wireless throughput, (ii) support efficient 4K video coding on commodity devices. To this end, we propose a novel sys- Motivation: The popularity of 4K videos has grown rapidly, tem, Jigsaw. It consists of (i) easy-to-compute layered video thanks to a wide range of display options, more affordable coding to seamlessly adapt to unpredictable wireless link displays, and widely available 4K content. The first 4K TVs fluctuations, (ii) efficient GPU implementation of video cod- cost $20K in 2012, but now we can buy a good 4K TV under ing on commodity devices, and (iii) effectively leveraging $200. -
E Dawn of Robot Surveillance AI, Video Analytics, and Privacy
e Dawn of Robot Surveillance AI, Video Analytics, and Privacy June 2019 e Dawn of Robot Surveillance AI, Video Analytics, and Privacy By Jay Stanley © 2019 AMERICAN CIVIL LIBERTIES UNION Cover: Sources images, shutterstock.com “The robots are here. The robots control your warnings. They analyze and notify, following instructions you have set.” — Promotional web site for “Video Surveillance as a Service”1 “The overwhelming majority of images are now made by machines for other machines” 2 — Trevor Paglen 1 http://www.vsaas.com/. 2 https://thenewinquiry.com/invisible-images-your-pictures-are-looking-at-you/. 1 Table of Contents I. INTRODUCTION ...................................................................................................... 3 II. WHAT IS AI VIDEO ANALYTICS .......................................................................... 5 The rise of deep learning ........................................................................................... 6 Overcoming challenges with new sources of data .................................................. 8 III. CURRENT DEPLOYMENTS ................................................................................ 9 Government deployments ......................................................................................... 9 Commercial deployments ........................................................................................ 10 Analytics in the cloud .............................................................................................. 11 IV. HOW COMPUTERS WILL -
Digital Video Quality Handbook (May 2013
Digital Video Quality Handbook May 2013 This page intentionally left blank. Executive Summary Under the direction of the Department of Homeland Security (DHS) Science and Technology Directorate (S&T), First Responders Group (FRG), Office for Interoperability and Compatibility (OIC), the Johns Hopkins University Applied Physics Laboratory (JHU/APL), worked with the Security Industry Association (including Steve Surfaro) and members of the Video Quality in Public Safety (VQiPS) Working Group to develop the May 2013 Video Quality Handbook. This document provides voluntary guidance for providing levels of video quality in public safety applications for network video surveillance. Several video surveillance use cases are presented to help illustrate how to relate video component and system performance to the intended application of video surveillance, while meeting the basic requirements of federal, state, tribal and local government authorities. Characteristics of video surveillance equipment are described in terms of how they may influence the design of video surveillance systems. In order for the video surveillance system to meet the needs of the user, the technology provider must consider the following factors that impact video quality: 1) Device categories; 2) Component and system performance level; 3) Verification of intended use; 4) Component and system performance specification; and 5) Best fit and link to use case(s). An appendix is also provided that presents content related to topics not covered in the original document (especially information related to video standards) and to update the material as needed to reflect innovation and changes in the video environment. The emphasis is on the implications of digital video data being exchanged across networks with large numbers of components or participants. -
4K Resolution in a Compact and Flexible Package
4K LCOS PROJECTOR PROJECTORS.USA.CANON.COM Markets/Applications recommended for: • Simulation and Training • Museums and Galleries • Design and Engineering • Higher Education • Corporate • Houses of Worship • Medical Education and Training • Film and TV • Government • Rental and Staging 4K RESOLUTION IN A COMPACT AND FLEXIBLE PACKAGE The REALiS 4K501ST Pro AV LCOS Projector brings true-to-life 4K resolution to the top of KEY FEATURES Canon’s LCOS projector line. A high level of detail and clarity is achieved by combining Canon’s • 4K Resolution (4096 x 2400) LCOS Technology with AISYS-enhancement, as well as a Genuine Canon 4K Lens, all within a • 5000 Lumens* compact and lightweight design. All of this as well as two HDMI 2.0 inputs provide versatile • Throw Ratio 1.0 – 1.3:1 connectivity that make the 4K501ST ideal for a variety of applications that demand highly • LCOS Technology with detailed, realistic images and video, from simulation and training to museums and galleries. AISYS-enhancement • Genuine Canon 4K Lens NATIVE 4K RESOLUTION (4096 X 2400) MARGINAL FOCUS • Marginal Focus for Projecting Canon 4K (4096 x 2400) on Spherically Domed Surfaces Center area DCI (4096 x 2160) • Dual Image Processing Engines for QFHD (3840 x 2160) Uncompressed 4K 60p Playback • Advanced Professional Installation Corner area and Calibration Settings Full HD (1920 x 1080) • HDMI 2.0 x2, DVI-D x4 With Marginal Without • Crestron Room View, AMX Device Focus Marginal Focus Adjustment Discovery and PJLink • DICOM® Simulation Mode** At 4096 x 2400, Canon’s 4K resolution generates a The Marginal Focus feature helps to ensure that bigger, richer picture made up of more than 9.8 million images projected onto a spherically domed surface * When in Presentation Mode and lamp is set to pixels – higher than the Digital Cinema Initiative (DCI) are kept in focus right up to the very edges. -
Detectability Model for the Evaluation of Lossy Compression Methods on Radiographic Images Vivek Ramaswami Iowa State University
Iowa State University Capstones, Theses and Retrospective Theses and Dissertations Dissertations 1996 Detectability model for the evaluation of lossy compression methods on radiographic images Vivek Ramaswami Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/rtd Part of the Electrical and Electronics Commons Recommended Citation Ramaswami, Vivek, "Detectability model for the evaluation of lossy compression methods on radiographic images" (1996). Retrospective Theses and Dissertations. 250. https://lib.dr.iastate.edu/rtd/250 This Thesis is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Retrospective Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Detectability model for the evaluation of lossy compression methods on radiographic images by Vivek Ramaswami A thesis submitted to the graduate faculty in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Major: Electrical Engineering Major Professors: Satish S. Udpa and Joseph N. Gray Iowa State University Ames, Iowa 1996 Copyright © Vivek Ramaswami, 1996. All rights reserved. 11 Graduate College Iowa State University This is to certify that the Master's thesis of Vivek Ramaswami has met the t hesis requirements of Iowa State University Signature redacted for privacy 111 TABLE OF CONTENTS ACKNOWLEDGEMENTS IX 1 INTRODUCTION . 1 2 IMAGE COMPRESSION METHODS 5 201 Introduction o 0 0 0 0 0 5 2o2 Vector quantization 0 0 ..... 5 20201 Classified vector quantizer 6 20202 Coding of shade blocks o ..... -
(A/V Codecs) REDCODE RAW (.R3D) ARRIRAW
What is a Codec? Codec is a portmanteau of either "Compressor-Decompressor" or "Coder-Decoder," which describes a device or program capable of performing transformations on a data stream or signal. Codecs encode a stream or signal for transmission, storage or encryption and decode it for viewing or editing. Codecs are often used in videoconferencing and streaming media solutions. A video codec converts analog video signals from a video camera into digital signals for transmission. It then converts the digital signals back to analog for display. An audio codec converts analog audio signals from a microphone into digital signals for transmission. It then converts the digital signals back to analog for playing. The raw encoded form of audio and video data is often called essence, to distinguish it from the metadata information that together make up the information content of the stream and any "wrapper" data that is then added to aid access to or improve the robustness of the stream. Most codecs are lossy, in order to get a reasonably small file size. There are lossless codecs as well, but for most purposes the almost imperceptible increase in quality is not worth the considerable increase in data size. The main exception is if the data will undergo more processing in the future, in which case the repeated lossy encoding would damage the eventual quality too much. Many multimedia data streams need to contain both audio and video data, and often some form of metadata that permits synchronization of the audio and video. Each of these three streams may be handled by different programs, processes, or hardware; but for the multimedia data stream to be useful in stored or transmitted form, they must be encapsulated together in a container format. -
EN User Manual 1 Customer Care and Warranty 28 Troubleshooting & Faqs 32 Table of Contents
499P9 www.philips.com/welcome EN User manual 1 Customer care and warranty 28 Troubleshooting & FAQs 32 Table of Contents 1. Important ...................................... 1 1.1 Safety precautions and maintenance ................................. 1 1.2 Notational Descriptions ............ 3 1.3 Disposal of product and packing material .......................................... 4 2. Setting up the monitor .............. 5 2.1 Installation .................................... 5 2.2 Operating the monitor .............. 9 2.3 Built-in Windows Hello™ pop- up webcam .................................14 2.4 MultiClient Integrated KVM .....16 2.5 MultiView ..................................... 17 2.6 Remove the Base Assembly for VESA Mounting ..........................18 3. Image Optimization ..................19 3.1 SmartImage .................................19 3.2 SmartContrast ............................20 3.3 Adaptive Sync .............................21 4. HDR ............................................. 22 5. Technical Specifications ......... 23 5.1 Resolution & Preset Modes ...26 6. Power Management ................ 27 7. Customer care and warranty . 28 7.1 Philips’ Flat Panel Displays Pixel Defect Policy ..............................28 7.2 Customer Care & Warranty ...... 31 8. Troubleshooting & FAQs ......... 32 8.1 Troubleshooting ........................ 32 8.2 General FAQs ............................. 33 8.3 Multiview FAQs .........................36 1. Important discoloration and damage to the 1. Important monitor. This electronic -
Review of Existing Smart Video Surveillance Systems Capable of Being Integrated with ADDPRIV Project Deliverable 2.1
Review of existing smart video surveillance systems capable of being integrated with ADDPRIV project Deliverable 2.1 GDANSK D 2.1 – Review of existing smart video surveillance systems capable of being integrated with ADDPRIV Automatic Data relevancy Discrimination for a PRIVacy-sensitive video surveillance SEC-2010.6.5-2 - Use of smart surveillance systems, data protection, integrity and sharing information within privacy rules D2.1 – Review of existing smart video surveillance systems capable of being integrated with ADDPRIV project Due date of deliverable: 31-07-2011 Actual submission date: 31-07-2011 Start of project: 01 February 2011 Duration: 36 Months Lead Contractor for this deliverable: GDANSK Revision: 1.0 Project co-funded by the European Commission within the Seventh Framework Programme Dissemination level PU Public + Confidential, only for members of the consortium (including the CO Commission Services) Page 2 Status: Final version Version: 1.1 Date: 28.07.2011 D 2.1 – Review of existing smart video surveillance systems capable of being integrated with ADDPRIV Revision History Deliverable Administration and summary Project Acronym: ADDPRIV Grant Agreement no: 261653 Document Identifier: ADDPRIV_20113107_WP2_GDANSK_Scoreboard_R11.pdf Leading partner: GDANSK Report version: 1.1 Report preparation date: 28-07-20011 Classification: Public Nature: Report Author(s) and contributors: GDANSK, KU Status Plan Draft Working + Final Submitted Approved The ADDPRIV consortium has addressed all comments received, making changes as necessary. Changes to the document are detailed in the change log table below. Date Edited by Status Changes made 20.07.2011 GDANSK Beta version 25.07.2011 KU Reviewed 28.07.2011 GDANSK Corrected 31.07.2011 ANOVA Quality check Page 3 Status: Final version Version: 1.1 Date: 28.07.2011 D 2.1 – Review of existing smart video surveillance systems capable of being integrated with ADDPRIV Copyright This report is © ADDPRIV Consortium 2011. -
On the Accuracy of Video Quality Measurement Techniques
On the accuracy of video quality measurement techniques Deepthi Nandakumar Yongjun Wu Hai Wei Avisar Ten-Ami Amazon Video, Bangalore, India Amazon Video, Seattle, USA Amazon Video, Seattle, USA Amazon Video, Seattle, USA, [email protected] [email protected] [email protected] [email protected] Abstract —With the massive growth of Internet video and therefore measuring and optimizing for video quality in streaming, it is critical to accurately measure video quality these high quality ranges is an imperative for streaming service subjectively and objectively, especially HD and UHD video which providers. In this study, we lay specific emphasis on the is bandwidth intensive. We summarize the creation of a database measurement accuracy of subjective and objective video quality of 200 clips, with 20 unique sources tested across a variety of scores in this high quality range. devices. By classifying the test videos into 2 distinct quality regions SD and HD, we show that the high correlation claimed by objective Globally, a healthy mix of devices with different screen sizes video quality metrics is led mostly by videos in the SD quality and form factors is projected to contribute to IP traffic in 2021 region. We perform detailed correlation analysis and statistical [1], ranging from smartphones (44%), to tablets (6%), PCs hypothesis testing of the HD subjective quality scores, and (19%) and TVs (24%). It is therefore necessary for streaming establish that the commonly used ACR methodology of subjective service providers to quantify the viewing experience based on testing is unable to capture significant quality differences, leading the device, and possibly optimize the encoding and delivery to poor measurement accuracy for both subjective and objective process accordingly. -
JPEG and JPEG 2000
JPEG and JPEG 2000 Past, present, and future Richard Clark Elysium Ltd, Crowborough, UK [email protected] Planned presentation Brief introduction JPEG – 25 years of standards… Shortfalls and issues Why JPEG 2000? JPEG 2000 – imaging architecture JPEG 2000 – what it is (should be!) Current activities New and continuing work… +44 1892 667411 - [email protected] Introductions Richard Clark – Working in technical standardisation since early 70’s – Fax, email, character coding (8859-1 is basis of HTML), image coding, multimedia – Elysium, set up in ’91 as SME innovator on the Web – Currently looks after JPEG web site, historical archive, some PR, some standards as editor (extensions to JPEG, JPEG-LS, MIME type RFC and software reference for JPEG 2000), HD Photo in JPEG, and the UK MPEG and JPEG committees – Plus some work that is actually funded……. +44 1892 667411 - [email protected] Elysium in Europe ACTS project – SPEAR – advanced JPEG tools ESPRIT project – Eurostill – consensus building on JPEG 2000 IST – Migrator 2000 – tool migration and feature exploitation of JPEG 2000 – 2KAN – JPEG 2000 advanced networking Plus some other involvement through CEN in cultural heritage and medical imaging, Interreg and others +44 1892 667411 - [email protected] 25 years of standards JPEG – Joint Photographic Experts Group, joint venture between ISO and CCITT (now ITU-T) Evolved from photo-videotex, character coding First meeting March 83 – JPEG proper started in July 86. 42nd meeting in Lausanne, next week… Attendance through national