Quality of Service (Qos): Measurements of Video Streaming
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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. -
'DIY' Digital Preservation for Audio Identify · Appraise · Organise · Preserve · Access Plan + Housekeeping
'DIY' Digital Preservation for Audio Identify · Appraise · Organise · Preserve · Access Plan + housekeeping Part 1 (10:00am-10:50am) Part 2 (11:00am-11:45am) 10:00am-10:10am Intros and housekeeping 10:50am-11:00am [10-minute comfort break] 10:10am-10:30am Digital Preservation for audio 11:00am-11:15am Organise (Migrate) What material do you care 11:15am-11:45am Store, Maintain, Access about and hope to keep?_ Discussion & Questions 10:30am-10:50am Locate, Appraise, Identify What kind of files are you working with?_ Feel free to Using Zoom swap to ‘Grid View’ when slides are not in use, to gage ‘the room’. Please use the chat Please keep function to your mic on ask questions ‘mute’ when while slides not speaking. are in use. Who are we? • Bridging the Digital Gap traineeship scheme • UK National Archives (National Lottery Heritage Fund) • bringing ‘digital’ skills into the archives sector Why are we doing these workshops? • agitate the cultural record to reflect lived experience • embrace tools that support historical self-determination among non- specialists • raise awareness, share skills, share knowledge What is digital preservation? • digital material is vulnerable in different ways to analog material • digital preservation = “a series of managed activities undertaken to ensure continued access to digital materials for as long as necessary.” Audio practices and technological dependency Image credit: Tarje Sælen Lavik Image credit: Don Shall Image credit: Mk2010 Image credit: Stahlkocher Image credit: JuneAugust Digital preservation and ‘born-digital’ audio Bitstream File(s) Digital Content Rendered Content • codecs (e.g. LPCM) • formats and containers (e.g. -
A Forensic Database for Digital Audio, Video, and Image Media
THE “DENVER MULTIMEDIA DATABASE”: A FORENSIC DATABASE FOR DIGITAL AUDIO, VIDEO, AND IMAGE MEDIA by CRAIG ANDREW JANSON B.A., University of Richmond, 1997 A thesis submitted to the Faculty of the Graduate School of the University of Colorado Denver in partial fulfillment of the requirements for the degree of Master of Science Recording Arts Program 2019 This thesis for the Master of Science degree by Craig Andrew Janson has been approved for the Recording Arts Program by Catalin Grigoras, Chair Jeff M. Smith Cole Whitecotton Date: May 18, 2019 ii Janson, Craig Andrew (M.S., Recording Arts Program) The “Denver Multimedia Database”: A Forensic Database for Digital Audio, Video, and Image Media Thesis directed by Associate Professor Catalin Grigoras ABSTRACT To date, there have been multiple databases developed for use in many forensic disciplines. There are very large and well-known databases like CODIS (DNA), IAFIS (fingerprints), and IBIS (ballistics). There are databases for paint, shoeprint, glass, and even ink; all of which catalog and maintain information on all the variations of their specific subject matter. Somewhat recently there was introduced the “Dresden Image Database” which is designed to provide a digital image database for forensic study and contains images that are generic in nature, royalty free, and created specifically for this database. However, a central repository is needed for the collection and study of digital audios, videos, and images. This kind of database would permit researchers, students, and investigators to explore the data from various media and various sources, compare an unknown with knowns with the possibility of discovering the likely source of the unknown. -
© 2019 Jimi Jones
© 2019 Jimi Jones SO MANY STANDARDS, SO LITTLE TIME: A HISTORY AND ANALYSIS OF FOUR DIGITAL VIDEO STANDARDS BY JIMI JONES DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Library and Information Science in the Graduate College of the University of Illinois at Urbana-Champaign, 2019 Urbana, Illinois Doctoral Committee: Associate Professor Jerome McDonough, Chair Associate Professor Lori Kendall Assistant Professor Peter Darch Professor Howard Besser, New York University ABSTRACT This dissertation focuses on standards for digital video - the social aspects of their design and the sociotechnical forces that drive their development and adoption. This work is a history and analysis of how the MXF, JPEG 2000, FFV1 and Matroska standards have been adopted and/or adapted by libraries and archives of different sizes. Well-funded institutions often have the resources to develop tailor-made specifications for the digitization of their analog video objects. Digital video standards and specifications of this kind are often derived from the needs of the cinema production and television broadcast realms in the United States and may be unsuitable for smaller memory institutions that are resource-poor and/or lack staff with the knowledge to implement these technologies. This research seeks to provide insight into how moving image preservation professionals work with - and sometimes against - broadcast and film production industries in order to produce and/or implement standards governing video formats and encodings. This dissertation describes the transition of four digital video standards from niches to widespread use in libraries and archives. It also examines the effects these standards produce on cultural heritage video preservation by interviewing people who implement the standards as well as people who develop them. -
(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. -
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. -
Vulnerability Summary for the Week of July 31, 2017
Vulnerability Summary for the Week of July 31, 2017 The vulnerabilities are based on the CVE vulnerability naming standard and are organized according to severity, determined by the Common Vulnerability Scoring System (CVSS) standard. The division of high, medium, and low severities correspond to the following scores: High - Vulnerabilities will be labeled High severity if they have a CVSS base score of 7.0 - 10.0 Medium - Vulnerabilities will be labeled Medium severity if they have a CVSS base score of 4.0 - 6.9 Low - Vulnerabilities will be labeled Low severity if they have a CVSS base score of 0.0 - 3.9 High Vulnerabilities CVS S Primary Publishe Scor Source & Vendor -- Product Description d e Patch Info CVE-2017- 12065 BID(link is external) CONFIRM(lin spikekill.php in Cacti before k is external) 1.1.16 might allow remote CONFIRM(lin attackers to execute arbitrary k is external) code via the avgnan, outlier- 2017-08- CONFIRM(lin cacti -- cacti start, or outlier-end parameter. 01 7.5 k is external) The Comcast firmware on Cisco DPC3939 (firmware version dpc3939-P20-18- v303r20421746-170221a- CMCST) devices allows remote attackers to execute arbitrary commands as root by leveraging local network access and connecting to the syseventd CVE-2017- server, as demonstrated by 9479 copying configuration data into 2017-07- MISC(link is cisco -- dpc3939_firmware a readable filesystem. 30 10.0 external) The Comcast firmware on Cisco DPC3939 (firmware version dpc3939-P20-18- v303r20421746-170221a- CMCST) devices allows remote CVE-2017- attackers to obtain root access to 9482 the Network Processor (NP) 2017-07- MISC(link is Linux system by enabling a cisco -- dpc3939_firmware 30 10.0 external) TELNET daemon (through CVS S Primary Publishe Scor Source & Vendor -- Product Description d e Patch Info CVE-2017-9479 exploitation) and then establishing a TELNET session. -
The H.264 Advanced Video Coding (AVC) Standard
Whitepaper: The H.264 Advanced Video Coding (AVC) Standard What It Means to Web Camera Performance Introduction A new generation of webcams is hitting the market that makes video conferencing a more lifelike experience for users, thanks to adoption of the breakthrough H.264 standard. This white paper explains some of the key benefits of H.264 encoding and why cameras with this technology should be on the shopping list of every business. The Need for Compression Today, Internet connection rates average in the range of a few megabits per second. While VGA video requires 147 megabits per second (Mbps) of data, full high definition (HD) 1080p video requires almost one gigabit per second of data, as illustrated in Table 1. Table 1. Display Resolution Format Comparison Format Horizontal Pixels Vertical Lines Pixels Megabits per second (Mbps) QVGA 320 240 76,800 37 VGA 640 480 307,200 147 720p 1280 720 921,600 442 1080p 1920 1080 2,073,600 995 Video Compression Techniques Digital video streams, especially at high definition (HD) resolution, represent huge amounts of data. In order to achieve real-time HD resolution over typical Internet connection bandwidths, video compression is required. The amount of compression required to transmit 1080p video over a three megabits per second link is 332:1! Video compression techniques use mathematical algorithms to reduce the amount of data needed to transmit or store video. Lossless Compression Lossless compression changes how data is stored without resulting in any loss of information. Zip files are losslessly compressed so that when they are unzipped, the original files are recovered. -
Episode Engine User’S Guide
Note on License The accompanying Software is licensed and may not be distributed without writ- ten permission. Disclaimer The contents of this document are subject to revision without notice due to con- tinued progress in methodology, design, and manufacturing. Telestream shall have no liability for any error or damages of any kind resulting from the use of this doc- ument and/or software. The Software may contain errors and is not designed or intended for use in on-line facilities, aircraft navigation or communications systems, air traffic control, direct life support machines, or weapons systems (“High Risk Activities”) in which the failure of the Software would lead directly to death, personal injury or severe physical or environmental damage. You represent and warrant to Telestream that you will not use, distribute, or license the Software for High Risk Activities. Export Regulations. Software, including technical data, is subject to Swedish export control laws, and its associated regulations, and may be subject to export or import regulations in other countries. You agree to comply strictly with all such regulations and acknowledge that you have the responsibility to obtain licenses to export, re-export, or import Software. Copyright Statement ©Telestream, Inc, 2010 All rights reserved. No part of this document may be copied or distributed. This document is part of the software product and, as such, is part of the license agreement governing the software. So are any other parts of the software product, such as packaging and distribution media. The information in this document may be changed without prior notice and does not represent a commitment on the part of Telestream. -
Recommended File Formats for Long-Term Archiving and for Web Dissemination in Phaidra
Recommended file formats for long-term archiving and for web dissemination in Phaidra Edited by Gianluca Drago May 2019 License: https://creativecommons.org/licenses/by-nc-sa/4.0/ Premise This document is intended to provide an overview of the file formats to be used depending on two possible destinations of the digital document: long-term archiving uploading to Phaidra and subsequent web dissemination When the document uploaded to Phaidra is also the only saved file, the two destinations end up coinciding, but in general one will probably want to produce two different files, in two different formats, so as to meet the differences in requirements and use in the final destinations. In the following tables, the recommendations for long-term archiving are distinct from those for dissemination in Phaidra. There are no absolute criteria for choosing the file format. The choice is always dependent on different evaluations that the person who is carrying out the archiving will have to make on a case by case basis and will often result in a compromise between the best achievable quality and the limits imposed by the costs of production, processing and storage of files, as well as, for the preceding, by the opportunity of a conversion to a new format. 1 This choice is particularly significant from the perspective of long-term archiving, for which a quality that respects the authenticity and integrity of the original document and a format that guarantees long-term access to data are desirable. This document should be seen more as an aid to the reasoned choice of the person carrying out the archiving than as a list of guidelines to be followed to the letter. -
FFV1 Video Codec Specification
FFV1 Video Codec Specification by Michael Niedermayer [email protected] Contents 1 Introduction 2 2 Terms and Definitions 2 2.1 Terms ................................................. 2 2.2 Definitions ............................................... 2 3 Conventions 3 3.1 Arithmetic operators ......................................... 3 3.2 Assignment operators ........................................ 3 3.3 Comparison operators ........................................ 3 3.4 Order of operation precedence .................................... 4 3.5 Range ................................................. 4 3.6 Bitstream functions .......................................... 4 4 General Description 5 4.1 Border ................................................. 5 4.2 Median predictor ........................................... 5 4.3 Context ................................................ 5 4.4 Quantization ............................................. 5 4.5 Colorspace ............................................... 6 4.5.1 JPEG2000-RCT ....................................... 6 4.6 Coding of the sample difference ................................... 6 4.6.1 Range coding mode ..................................... 6 4.6.2 Huffman coding mode .................................... 9 5 Bitstream 10 5.1 Configuration Record ......................................... 10 5.1.1 In AVI File Format ...................................... 11 5.1.2 In ISO/IEC 14496-12 (MP4 File Format) ......................... 11 5.1.3 In NUT File Format .................................... -
Pragmatic Audiovisual Preservation
http://doi.org/10.7207/twr20-10 Pragmatic Audiovisual Preservation Ashley Blewer DPC Technology Watch Report October 2020 © Digital Preservation Coalition 2020 and Ashley Blewer 2020 ISSN: 2048-7916 DOI: http://doi.org/10.7207/twr20-10 All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, without prior permission in writing from the publisher. The moral rights of the author have been asserted. First published in Great Britain in 2020 by the Digital Preservation Coalition. Pragmatic Audiovisual Preservation Foreword The Digital Preservation Coalition (DPC) is an advocate and catalyst for digital preservation, ensuring our members can deliver resilient long-term access to digital content and services. It is a not-for- profit membership organization whose primary objective is to raise awareness of the importance of the preservation of digital material and the attendant strategic, cultural and technological issues. It supports its members through knowledge exchange, capacity building, assurance, advocacy and partnership. The DPC’s vision is to make our digital memory accessible tomorrow. The DPC Technology Watch Reports identify, delineate, monitor and address topics that have a major bearing on ensuring our collected digital memory will be for the future. They provide an advanced introduction in order to support those charged with ensuring a robust digital memory, and they are of general interest to a wide and international audience with interests in computing, information management, collections management and technology. The reports are commissioned after consultation among DPC members about shared priorities and challenges; they are commissioned from experts; and they are thoroughly scrutinized by peers before being released.