A Review of Emerging Video Codecs: Challenges and Opportunities
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Versatile Video Coding – the Next-Generation Video Standard of the Joint Video Experts Team
31.07.2018 Versatile Video Coding – The Next-Generation Video Standard of the Joint Video Experts Team Mile High Video Workshop, Denver July 31, 2018 Gary J. Sullivan, JVET co-chair Acknowledgement: Presentation prepared with Jens-Rainer Ohm and Mathias Wien, Institute of Communication Engineering, RWTH Aachen University 1. Introduction Versatile Video Coding – The Next-Generation Video Standard of the Joint Video Experts Team 1 31.07.2018 Video coding standardization organisations • ISO/IEC MPEG = “Moving Picture Experts Group” (ISO/IEC JTC 1/SC 29/WG 11 = International Standardization Organization and International Electrotechnical Commission, Joint Technical Committee 1, Subcommittee 29, Working Group 11) • ITU-T VCEG = “Video Coding Experts Group” (ITU-T SG16/Q6 = International Telecommunications Union – Telecommunications Standardization Sector (ITU-T, a United Nations Organization, formerly CCITT), Study Group 16, Working Party 3, Question 6) • JVT = “Joint Video Team” collaborative team of MPEG & VCEG, responsible for developing AVC (discontinued in 2009) • JCT-VC = “Joint Collaborative Team on Video Coding” team of MPEG & VCEG , responsible for developing HEVC (established January 2010) • JVET = “Joint Video Experts Team” responsible for developing VVC (established Oct. 2015) – previously called “Joint Video Exploration Team” 3 Versatile Video Coding – The Next-Generation Video Standard of the Joint Video Experts Team Gary Sullivan | Jens-Rainer Ohm | Mathias Wien | July 31, 2018 History of international video coding standardization -
Overview of Technologies for Immersive Visual Experiences: Capture, Processing, Compression, Standardization and Display
Overview of technologies for immersive visual experiences: capture, processing, compression, standardization and display Marek Domański Poznań University of Technology Chair of Multimedia Telecommunications and Microelectronics Poznań, Poland 1 Immersive visual experiences • Arbitrary direction of viewing System : 3DoF • Arbitrary location of viewer - virtual navigation - free-viewpoint television • Both System : 6DoF Virtual viewer 2 Immersive video content Computer-generated Natural content Multiple camera around a scene also depth cameras, light-field cameras Camera(s) located in a center of a scene 360-degree cameras Mixed e.g.: wearable cameras 3 Video capture Common technical problems • Synchronization of cameras Camera hardware needs to enable synchronization Shutter release error < Exposition interval • Frame rate High frame rate needed – Head Mounted Devices 4 Common task for immersive video capture: Calibration Camera parameter estimation: • Intrinsic – the parameters of individual cameras – remain unchanged by camera motion • Extrinsic – related to camera locations in real word – do change by camera motion (even slight !) Out of scope of standardization • Improved methods developed 5 Depth estimation • By video analysis – from at least 2 video sequences – Computationally heavy – Huge progress recently • By depth cameras – diverse products – Infrared illuminate of the scene – Limited resolution mostly Out of scope of standardization 6 MPEG Test video sequences • Large collection of video sequences with depth information -
Versatile Video Coding (VVC)
Versatile Video Coding (VVC) on the final stretch Benjamin Bross Fraunhofer Heinrich Hertz Institute, Berlin ITU Workshop on “The future of media” © Geneva, Switzerland, 8 October 2019 Versatile Video Coding (VVC) Joint ITU-T (VCEG) and ISO/IEC (MPEG) project Coding Efficiency Versatility 50% over H.265/HEVC Screen content HD / UHD / 8K resolutions Adaptive resolution change 10bit / HDR Independent sub-pictures 2 VVC – Coding Efficiency History of Video Coding Standards H.261 JPEG H.265 / H.264 / H.262 / (1991) (1990) PSNR MPEG-HEVC MPEG-4 AVC MPEG-2 (dB) (2013) (2003) (1995) 40 38 Bit-rate Reduction: 50% 35 36 34 32 30 28 0 100 200 300 bit rate (kbit/s) 3 VVC – Coding Efficiency History of Video Coding Standards H.261 JPEG H.265 / H.264 / H.262 / (1991) (1990) PSNR MPEG-HEVC MPEG-4 AVC MPEG-2 (dB) (2013) (2003) (1995) 40 38 36 Do we need more efficient video coding? 34 32 30 28 0 100 200 300 bit rate (kbit/s) 4 VVC – Coding Efficiency Jevons Paradox "The efficiency with which a resource is used tends to increase (rather than decrease) the rate of consumption of that resource." 5 VVC – Coding Efficiency Target for the final VVC standard H.262 / H.261 JPEG H.??? / H.265 / H.264 / MPEG-2 (1991) (1990) PSNR MPEG-VVC MPEG-HEVC MPEG-4 AVC (dB) (2013) (2003) (1995) 40 38 36 35 Bit-rate Reduction Target: 50% 34 32 30 28 0 100 200 300 bit rate (kbit/s) 6 VVC – Timeline 2015 Oct. – Exploration Phase • Joint Video Exploration Team (JVET) of ITU-T VCEG and ISO/IEC MPEG established October ‘15 in Geneva • Joint Video Exploration Model (JEM) as software playground to explore new coding tools • 34% bitrate savings for JEM relative to HEVC provided evidence to start a new joint standardization activity with a… 2017 Oct. -
On Audio-Visual File Formats
On Audio-Visual File Formats Summary • digital audio and digital video • container, codec, raw data • different formats for different purposes Reto Kromer • AV Preservation by reto.ch • audio-visual data transformations Film Preservation and Restoration Hyderabad, India 8–15 December 2019 1 2 Digital Audio • sampling Digital Audio • quantisation 3 4 Sampling • 44.1 kHz • 48 kHz • 96 kHz • 192 kHz digitisation = sampling + quantisation 5 6 Quantisation • 16 bit (216 = 65 536) • 24 bit (224 = 16 777 216) • 32 bit (232 = 4 294 967 296) Digital Video 7 8 Digital Video Resolution • resolution • SD 480i / SD 576i • bit depth • HD 720p / HD 1080i • linear, power, logarithmic • 2K / HD 1080p • colour model • 4K / UHD-1 • chroma subsampling • 8K / UHD-2 • illuminant 9 10 Bit Depth Linear, Power, Logarithmic • 8 bit (28 = 256) «medium grey» • 10 bit (210 = 1 024) • linear: 18% • 12 bit (212 = 4 096) • power: 50% • 16 bit (216 = 65 536) • logarithmic: 50% • 24 bit (224 = 16 777 216) 11 12 Colour Model • XYZ, L*a*b* • RGB / R′G′B′ / CMY / C′M′Y′ • Y′IQ / Y′UV / Y′DBDR • Y′CBCR / Y′COCG • Y′PBPR 13 14 15 16 17 18 RGB24 00000000 11111111 00000000 00000000 00000000 00000000 11111111 00000000 00000000 00000000 00000000 11111111 00000000 11111111 11111111 11111111 11111111 00000000 11111111 11111111 11111111 11111111 00000000 11111111 19 20 Compression Uncompressed • uncompressed + data simpler to process • lossless compression + software runs faster • lossy compression – bigger files • chroma subsampling – slower writing, transmission and reading • born -
Videocodecs in a Nutshell
Videocodecs in a Nutshell Wie funktioniert’s und was gibt’s neues? darkbit 14.08.2021 14.08.21 1 Gliederung ● Motivation ● Grundlagen moderner Videocodecs am Beispiel von HEVC ● Neue Videocodecs – AOMedia Video 1 (AV1) – Versatile Video Coding (VVC) – Essential Video Coding (EVC) – Low Complexity Enhancement Video Codec (LC EVC) ● Vergleich der Codecs ● Ausblick 14.08.21 Videocodecs in a Nutshell - darkbit 2 Motivation ● Rohvideo ist groß ● Bsp: Spielfilm auf DVD – Pixel hat je 8 Bit für die RGB-Komponenten => 24 bits pro Pixel – Übliche Auflösung 720x576 Pixel => 414‘720 Pixel => ~9,953Mbit pro Bild – 25 Bilder pro Sekunde => 248,825 Mbit/s – 90 Minuten Spielfilmlänge => 1,344 Tbit (168 Gbyte) pro Film – Wir haben aber nur max. 8,5 Gbyte pro DVD (Dual-Layer) – Wir müssen unser Video um mind. 95% komprimieren! ● Ziel eines Videocodecs: Möglichst hohe Kompression bei möglichst geringer visuellen Qualitätseinbußungen. 14.08.21 Videocodecs in a Nutshell - darkbit 3 Motivation CC-BY 3.0 - Blender Foundation CC-BY-SA 3.0 - Rdikeman Anforderungen On-Demand Video Live Video Kompression möglichst hoch auf Kanalbandbreite Encodingspeed irrelevant in Echtzeit Decodingspeed in Echtzeit in Echtzeit Bitrate adaptiv konstant 14.08.21 Videocodecs in a Nutshell - darkbit 4 State of the Art Videocodecs Veröffentlichung Codec Bitraten-reduktion Anwendungen Mai 1996 H.262, MPEG-2 Part 2 DVD, SDTV, Blu-Ray März 2003 AVC (H.264, MPEG-4 -50% gegenüber HDTV, Webvideo, Part 10) H.262 WebRTC, Blu-Ray September 2008 (seit VP8 -5% gegenüber AVC Webvideo, 2010 lizenzfrei) WebRTC Mai 2013 VP9 -20% gegenüber AVC Webvideo, WebRTC Dezember 2013 HEVC (H.265, MPEG-H -20% gegenüber AVC UHD Blu-Ray Part 2) 14.08.21 Videocodecs in a Nutshell - darkbit 5 Patentproblematiken Quelle: Jonatan Samuelsson und Per Hermansson. -
Amphion Video Codecs in an AI World
Video Codecs In An AI World Dr Doug Ridge Amphion Semiconductor The Proliferance of Video in Networks • Video produces huge volumes of data • According to Cisco “By 2021 video will make up 82% of network traffic” • Equals 3.3 zetabytes of data annually • 3.3 x 1021 bytes • 3.3 billion terabytes AI Engines Overview • Example AI network types include Artificial Neural Networks, Spiking Neural Networks and Self-Organizing Feature Maps • Learning and processing are automated • Processing • AI engines designed for processing huge amounts of data quickly • High degree of parallelism • Much greater performance and significantly lower power than CPU/GPU solutions • Learning and Inference • AI ‘learns’ from masses of data presented • Data presented as Input-Desired Output or as unmarked input for self-organization • AI network can start processing once initial training takes place Typical Applications of AI • Reduce data to be sorted manually • Example application in analysis of mammograms • 99% reduction in images send for analysis by specialist • Reduction in workload resulted in huge reduction in wrong diagnoses • Aid in decision making • Example application in traffic monitoring • Identify areas of interest in imagery to focus attention • No definitive decision made by AI engine • Perform decision making independently • Example application in security video surveillance • Alerts and alarms triggered by AI analysis of behaviours in imagery • Reduction in false alarms and more attention paid to alerts by security staff Typical Video Surveillance -
(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. -
Encoding H.264 Video for Streaming and Progressive Download
W4: KEY ENCODING SKILLS, TECHNOLOGIES TECHNIQUES STREAMING MEDIA EAST - 2019 Jan Ozer www.streaminglearningcenter.com [email protected]/ 276-235-8542 @janozer Agenda • Introduction • Lesson 5: How to build encoding • Lesson 1: Delivering to Computers, ladder with objective quality metrics Mobile, OTT, and Smart TVs • Lesson 6: Current status of CMAF • Lesson 2: Codec review • Lesson 7: Delivering with dynamic • Lesson 3: Delivering HEVC over and static packaging HLS • Lesson 4: Per-title encoding Lesson 1: Delivering to Computers, Mobile, OTT, and Smart TVs • Computers • Mobile • OTT • Smart TVs Choosing an ABR Format for Computers • Can be DASH or HLS • Factors • Off-the-shelf player vendor (JW Player, Bitmovin, THEOPlayer, etc.) • Encoding/transcoding vendor Choosing an ABR Format for iOS • Native support (playback in the browser) • HTTP Live Streaming • Playback via an app • Any, including DASH, Smooth, HDS or RTMP Dynamic Streaming iOS Media Support Native App Codecs H.264 (High, Level 4.2), HEVC Any (Main10, Level 5 high) ABR formats HLS Any DRM FairPlay Any Captions CEA-608/708, WebVTT, IMSC1 Any HDR HDR10, DolbyVision ? http://bit.ly/hls_spec_2017 iOS Encoding Ladders H.264 HEVC http://bit.ly/hls_spec_2017 HEVC Hardware Support - iOS 3 % bit.ly/mobile_HEVC http://bit.ly/glob_med_2019 Android: Codec and ABR Format Support Codecs ABR VP8 (2.3+) • Multiple codecs and ABR H.264 (3+) HLS (3+) technologies • Serious cautions about HLS • DASH now close to 97% • HEVC VP9 (4.4+) DASH 4.4+ Via MSE • Main Profile Level 3 – mobile HEVC (5+) -
Security Solutions Y in MPEG Family of MPEG Family of Standards
1 Security solutions in MPEG family of standards TdjEbhiiTouradj Ebrahimi [email protected] NET working? Broadcast Networks and their security 16-17 June 2004, Geneva, Switzerland MPEG: Moving Picture Experts Group 2 • MPEG-1 (1992): MP3, Video CD, first generation set-top box, … • MPEG-2 (1994): Digital TV, HDTV, DVD, DVB, Professional, … • MPEG-4 (1998, 99, ongoing): Coding of Audiovisual Objects • MPEG-7 (2001, ongo ing ): DitiDescription of Multimedia Content • MPEG-21 (2002, ongoing): Multimedia Framework NET working? Broadcast Networks and their security 16-17 June 2004, Geneva, Switzerland MPEG-1 - ISO/IEC 11172:1992 3 • Coding of moving pictures and associated audio for digital storage media at up to about 1,5 Mbit/s – Part 1 Systems - Program Stream – Part 2 Video – Part 3 Audio – Part 4 Conformance – Part 5 Reference software NET working? Broadcast Networks and their security 16-17 June 2004, Geneva, Switzerland MPEG-2 - ISO/IEC 13818:1994 4 • Generic coding of moving pictures and associated audio – Part 1 Systems - joint with ITU – Part 2 Video - joint with ITU – Part 3 Audio – Part 4 Conformance – Part 5 Reference software – Part 6 DSM CC – Par t 7 AAC - Advance d Au dio Co ding – Part 9 RTI - Real Time Interface – Part 10 Conformance extension - DSM-CC – Part 11 IPMP on MPEG-2 Systems NET working? Broadcast Networks and their security 16-17 June 2004, Geneva, Switzerland MPEG-4 - ISO/IEC 14496:1998 5 • Coding of audio-visual objects – Part 1 Systems – Part 2 Visual – Part 3 Audio – Part 4 Conformance – Part 5 Reference -
Press Release of 132Nd MPEG Meeting
ISO/IEC JTC 1/SC 29/AG 03 N00007 ISO/IEC JTC 1/SC 29/AG 03 MPEG Liaison and Communication Convenorship: KATS (Korea, Republic of) Document type: Press Release Title: Press Release of 132nd MPEG Meeting Status: Approved Date of document: 2020-10-16 Source: Convenor Expected action: INFO No. of pages: 8 (incl. cover page) Email of convenor: [email protected] Committee URL: https://isotc.iso.org/livelink/livelink/open/jtc1sc29ag3 INTERNATIONAL ORGANIZATION FOR STANDARDIZATION ORGANISATION INTERNATIONALE DE NORMALISATION ISO/IEC JTC 1/SC 29/AG 03 MPEG LIAISON AND COMMUNICATION ISO/IEC JTC 1/SC 29/AG 03 N00007 Online Meeting – October 2020 Source: Convenor of ISO/IEC JTC 1/SC 29/AG 03 Status: Approved by AG 03 Subject: Press Release of 132nd MPEG Meeting Date: 16 October 2020 Serial Number 19862 MPEG Continues to Progress – First Meeting with the New Structure The 132nd MPEG meeting was held online, 12 – 16 October 2020 Table of Contents: MPEG CONTINUES TO PROGRESS – FIRST MEETING WITH THE NEW STRUCTURE .......................................... 3 VERSATILE VIDEO CODING (VVC) ULTRA-HD VERIFICATION TEST COMPLETED AND CONFORMANCE AND REFERENCE SOFTWARE STANDARDS REACH THEIR FIRST MILESTONE ........................................................... 3 MPEG COMPLETES GEOMETRY-BASED POINT CLOUD COMPRESSION STANDARD ......................................... 4 MPEG EVALUATES EXTENSIONS AND IMPROVEMENTS TO MPEG-G AND ANNOUNCES A CALL FOR EVIDENCE ON NEW ADVANCED GENOMICS FEATURES AND TECHNOLOGIES ................................................................ 4 MPEG ISSUES DRAFT CALL FOR PROPOSALS ON THE CODED REPRESENTATION OF HAPTICS .......................... 5 MPEG EVALUATES RESPONSES TO MPEG IPR SMART CONTRACTS CFP ......................................................... 6 MPEG COMPLETES STANDARD ON HARMONIZATION OF DASH AND CMAF .................................................. 6 MPEG COMPLETES 2ND EDITION OF THE OMNIDIRECTIONAL MEDIA FORMAT .............................................. -
2021 TIW DRAFT AGENDA Revi
24th ITEA Test and Training Instrumentation Workshop Innovating for Tomorrow’s Challenges 5/5/21 REV I 11-May First Day – Tutorials 8:00 a.m. – 12:00 p.m. Morning Tutorials Basics of Aircraft Instrumentation Systems Bruce Johnson, NAWCAD This course will cover a wide variety of topics related to Aircraft Instrumentation. Data, Telemetry, Instrumentation System Block Diagram, Standards, Data Requirements, Transducers / Specifications, Video, 1553 Bus, Using Requirements to Configure an Analog Data Channel, Creating a PCM Map to Obtain a Sample Rate, Telemetry Bandwidth, Record Time, GPS, Audio, Telemetry Attributes Transfer Standard (TMATS), and Measurement Uncertainty - Interpreting the Results. This is great introduction for new hires or a refresher for current employees. IRIG 106-17 Chapter 7 Packet Telemetry Downlink Basis and Implementation Fundamentals Johnny Pappas, Safran Data Systems, Inc. This course will focus on presenting information to establish a basic understanding of the 2017 release of the IRIG 106, Chapter 7, Packet Telemetry Downlink Standard. It will also focus on the implementation of airborne and ground system hardware and methods to handle IRIG 106, Chapter 7, Packet Telemetry data. The presentation will address the implementation of special features necessary to support legacy RF Transmission, data recording, RF Receiving, Ground Reproduction, and Chapter 10 data processing methods. Predictive Analytics for Performance Assessment Mark J. Kiemele, Air Academy Associates Design of Experiments (DOE) is a method that can and should be used not only in the design and development of systems, but also in the modeling and validation of system performance. Building useful prediction models and then validating them can ease the burden of making procurement decisions. -
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.