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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. -
Application Note 1334 the LMH0030 in Segmented Frames Applications
The LMH0030 in Segmented Frames Applications AN-1334 National Semiconductor The LMH0030 in Application Note 1334 Kai Peters Segmented Frames August 2006 Applications 1.0 Introduction applications such as digital routers, production switchers, format converters or video servers. Figure 1 shows a typical The LMH0030 and LMH0031 Standard and High Definition application diagram with the LMH0030 Serializer and Video chipset is an ideal solution for a variety of products in LMH0031 Deserializer. the standard and high definition video systems realm. It allows easy integration in a number of professional video 20108501 FIGURE 1. Typical Application Diagram for the LMH0030 and LMH0031 The LMH0030 Digital Video Serializer automatically recog- video data compliant to SMPTE 259M and SMPTE 344M for nizes Standard Definition (SD) video and High Definition SD and SMPTE 292M for HD Video and serialization to the (HD) video formats according to the respective Society of output ports. Motion Picture and Television Engineers (SMPTE) stan- Table 1 summarizes the supported frame set of the dards. The device is compliant to SMPTE 125M/267M for LMH0030 and Figure 2 shows the simplified data path of the standard definition and SMPTE 260M/274M/295M/296M LMH0030 SD/HD Encoder/Serializer. high definition video as provided to the parallel 10bit or 20bit interfaces. The LMH0030 auto-detects and processes the TABLE 1. Automated Supported Frames by the LMH0030 Format Apecification Frame Rate Lines Active Lines Samples Active Samples SDTV, 54 SMPTE 344M 60I 525 507/1487 3432 2880 SDTV, 36 SMPTE 267M 60I 525 507/1487 2288 1920 SDTV, 27 SMPTE 125M 60I 525 507/1487 1716 1440 SDTV, 54 ITU-R BT 601.5 50I 625 577 3456 2880 SDTV, 36 ITU-R BT 601.5 50I 625 577 2304 1920 SDTV, 27 ITU-R BT 601.5 50I 625 577 1728 1440 PHYTER® is a registered trademark of National Semiconductor. -
(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. -
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 -
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. -
University of Florida Acceptable ETD Formats
University of Florida acceptable ETD formats The Acceptable ETD formats below are defined based on those media for which a preservation strategy exists. The aim is to make all ETD’s available into the future as the technology changes and software becomes obsolete. Media formats that are not listed in this table are ones that cannot presently be preserved at an acceptable level. Many of these can easily be converted to one of the acceptable formats. If you create a document using Word or LaTex it should be exported as a PDF. Please consult with the CIRCA ETD unit ([email protected]) for assistance or if you have any questions. The Acceptable ETD Formats are reviewed and updated regularly by the Graduate School, the Library, the ETD training staff in Academic Technology, and the Florida Center for Library Automation. All files should be scanned with up-to-date virus software before submission. Files with viruses will not be accepted. Media Acceptable formats (bold indicates preferred formats) Text - PDF/A-1 (ISO 19005-1) (*.pdf) - Plain text (encoding: USASCII, UTF-8, UTF-16 with BOM) - XML (includes XSD/XSL/XHTML, etc.; with included or accessible schema and character encoding explicitly specified) - Cascading Style Sheets (*.css) - DTD (*.dtd) - Plain text (ISO 8859-1 encoding) - PDF (*.pdf) (embedded fonts) - Rich Text Format 1.x (*.rtf) - HTML (include a DOCTYPE declaration) - SGML (*.sgml) - Open Office (*.sxw/*.odt) - OOXML (ISO/IEC DIS 29500) (*.docx) - Computer program source code (*.c, *.c++, *.java, *.js, *.jsp, *.php, *.pl, etc.) -
Research Paper a Study of Digital Video Compression Techniques
Volume : 5 | Issue : 4 | April 2016 ISSN - 2250-1991 | IF : 5.215 | IC Value : 77.65 Research Paper Engineering A Study of Digital Video Compression Techniques Dr. Saroj Choudhary Department of Applied Science JECRC, Jodhpur, Rajasthan, India Purneshwari Department of ECE JIET, Jodhpur, Rajasthan, India Varshney Earlier, digital video compression technologies have become an integral part of the creation, communication and consumption of visual information. In this, techniques for video compression techniques are reviewed. The paper explains the basic concepts of video codec design and various features which have been integrated into international standards and including the recent standard, H.264/AVC. The ITU-T H.264 video coding standard has been developed to achieve significant improvements over MPEG-2 standard in terms of compression. Although the basic coding framework of the ABSTRACT standard is similar to that of the existing standards, H.264 introduces many new features. KEYWORDS H.264, MPEG-2, PSNR. INTRODUCTION Since minimal information is sent between every four or five The basic communication problem may be posed as conveying frames, a significant reduction in bits required to describe the source data with the highest fidelity possible within an availa- image results. Consequently, compression ratios above 100:1 ble bit rate, or it may be posed as conveying the source data are common. The scheme is asymmetric; the MPEG encoder using the lowest bit rate possible while maintaining specified is very complex and places a very heavy computational load reproduction fidelity [7]. In either case, a fundamental tradeoff for motion estimation. Decoding is much simpler and can be is made between bit rate and fidelity. -
Understanding HD and 3G-SDI Video Poster
Understanding HD & 3G-SDI Video EYE DIGITAL SIGNAL TIMING EYE DIAGRAM The eye diagram is constructed by overlaying portions of the sampled data stream until enough data amplitude is important because of its relation to noise, and because the Y', R'-Y', B'-Y', COMMONLY USED FOR ANALOG COMPONENT ANALOG VIDEO transitions produce the familiar display. A unit interval (UI) is defined as the time between two adjacent signal receiver estimates the required high-frequency compensation (equalization) based on the Format 1125/60/2:1 750/60/1:1 525/59.94/2:1, 625/50/2:1, 1250/50/2:1 transitions, which is the reciprocal of clock frequency. UI is 3.7 ns for digital component 525 / 625 (SMPTE remaining half-clock-frequency energy as the signal arrives. Incorrect amplitude at the Y’ 0.2126 R' + 0.7152 G' + 0.0722 B' 0.299 R' + 0.587 G' + 0.114 B' 259M), 673.4 ps for digital high-definition (SMPTE 292) and 336.7ps for 3G-SDI serial digital (SMPTE 424M) sending end could result in an incorrect equalization applied at the receiving end, thus causing Digital video synchronization is provided by End of Active Video (EAV) and Start of Active Video (SAV) sequences which start with a R'-Y' 0.7874 R' - 0.7152 G' - 0.0722 B' 0.701 R' - 0.587 G' - 0.114 B' as shown in Table 1. A serial receiver determines if the signal is “high” or “low” in the center of each eye, and signal distortions. Overshoot of the rising and falling edge should not exceed 10% of the waveform HORIZONTAL LINE TIMING unique three word pattern: 3FFh (all bits in the word set to 1), 000h (all 0’s), 000h (all 0’s), followed by a fourth “XYZ” word whose B'-Y' -0.2126 R' - 0.7152 G' + 0.9278 B' -0.299 R' - 0.587 G' + 0.886 B' detects the serial data. -
ITC Confplanner DVD Pages Itcconfplanner
Comparative Analysis of H.264 and Motion- JPEG2000 Compression for Video Telemetry Item Type text; Proceedings Authors Hallamasek, Kurt; Hallamasek, Karen; Schwagler, Brad; Oxley, Les Publisher International Foundation for Telemetering Journal International Telemetering Conference Proceedings Rights Copyright © held by the author; distribution rights International Foundation for Telemetering Download date 25/09/2021 09:57:28 Link to Item http://hdl.handle.net/10150/581732 COMPARATIVE ANALYSIS OF H.264 AND MOTION-JPEG2000 COMPRESSION FOR VIDEO TELEMETRY Kurt Hallamasek, Karen Hallamasek, Brad Schwagler, Les Oxley [email protected] Ampex Data Systems Corporation Redwood City, CA USA ABSTRACT The H.264/AVC standard, popular in commercial video recording and distribution, has also been widely adopted for high-definition video compression in Intelligence, Surveillance and Reconnaissance and for Flight Test applications. H.264/AVC is the most modern and bandwidth-efficient compression algorithm specified for video recording in the Digital Recording IRIG Standard 106-11, Chapter 10. This bandwidth efficiency is largely derived from the inter-frame compression component of the standard. Motion JPEG-2000 compression is often considered for cockpit display recording, due to the concern that details in the symbols and graphics suffer excessively from artifacts of inter-frame compression and that critical information might be lost. In this paper, we report on a quantitative comparison of H.264/AVC and Motion JPEG-2000 encoding for HD video telemetry. Actual encoder implementations in video recorder products are used for the comparison. INTRODUCTION The phenomenal advances in video compression over the last two decades have made it possible to compress the bit rate of a video stream of imagery acquired at 24-bits per pixel (8-bits for each of the red, green and blue components) with a rate of a fraction of a bit per pixel. -
Input Formats & Codecs
Input Formats & Codecs Pivotshare offers upload support to over 99.9% of codecs and container formats. Please note that video container formats are independent codec support. Input Video Container Formats (Independent of codec) 3GP/3GP2 ASF (Windows Media) AVI DNxHD (SMPTE VC-3) DV video Flash Video Matroska MOV (Quicktime) MP4 MPEG-2 TS, MPEG-2 PS, MPEG-1 Ogg PCM VOB (Video Object) WebM Many more... Unsupported Video Codecs Apple Intermediate ProRes 4444 (ProRes 422 Supported) HDV 720p60 Go2Meeting3 (G2M3) Go2Meeting4 (G2M4) ER AAC LD (Error Resiliant, Low-Delay variant of AAC) REDCODE Supported Video Codecs 3ivx 4X Movie Alaris VideoGramPiX Alparysoft lossless codec American Laser Games MM Video AMV Video Apple QuickDraw ASUS V1 ASUS V2 ATI VCR-2 ATI VCR1 Auravision AURA Auravision Aura 2 Autodesk Animator Flic video Autodesk RLE Avid Meridien Uncompressed AVImszh AVIzlib AVS (Audio Video Standard) video Beam Software VB Bethesda VID video Bink video Blackmagic 10-bit Broadway MPEG Capture Codec Brooktree 411 codec Brute Force & Ignorance CamStudio Camtasia Screen Codec Canopus HQ Codec Canopus Lossless Codec CD Graphics video Chinese AVS video (AVS1-P2, JiZhun profile) Cinepak Cirrus Logic AccuPak Creative Labs Video Blaster Webcam Creative YUV (CYUV) Delphine Software International CIN video Deluxe Paint Animation DivX ;-) (MPEG-4) DNxHD (VC3) DV (Digital Video) Feeble Files/ScummVM DXA FFmpeg video codec #1 Flash Screen Video Flash Video (FLV) / Sorenson Spark / Sorenson H.263 Forward Uncompressed Video Codec fox motion video FRAPS: -
Ict R&D 기술로드맵 2025
ICT R&D 기술로드맵 2025 ICT융합·방송·콘텐츠 ICT융합 방송·미디어 디지털콘텐츠 ICT R&D 기술로드맵 2025 ICT융합·방송·콘텐츠 ICT융합 방송·미디어 디지털콘텐츠 ICT R&D 기술로드맵 2025 ICT융합·방송·콘텐츠 Contents 01 ICT융합 분야 02 방송·미디어 분야 ● ● Ⅰ. 개념 및 범위 006 Ⅰ. 개념 및 범위 160 Ⅱ. 동향 조사 분석 018 Ⅱ. 동향 조사 분석 162 Ⅲ. 기술 발전 전망 080 Ⅲ. 기술 발전 전망 176 Ⅳ. 대상 기술 선정 096 Ⅳ. 대상 기술 선정 182 Ⅴ. 기술로드맵 124 Ⅴ. 기술로드맵 192 Ⅵ. 기술 확보 전략 130 Ⅵ. 기술 확보 전략 194 03 디지털콘텐츠 분야 ● Ⅰ. 개념 및 범위 210 Ⅱ. 동향 조사 분석 216 Ⅲ. 기술 발전 전망 236 Ⅳ. 대상 기술 선정 242 Ⅴ. 기술로드맵 248 Ⅵ. 기술 확보 전략 250 [참고] 참여 전문가 명단 258 ICT R&D 기술로드맵 2025 ICT융합·방송·콘텐츠 ICT융합 분야 006 018 Ⅰ. 개념 및 범위 Ⅱ. 동향 조사 분석 080 096 Ⅲ. 기술 발전 전망 Ⅳ. 대상 기술 선정 124 130 Ⅴ. 기술로드맵 Ⅵ. 기술 확보 전략 개념 및 범위 Ⅰ ICT R&D 기술로드맵 2025 1.개념 및 정의 ICT 융합의 개념 ICT 융합 분야는 지능정보 기술 등 다양한 ICT 기술을 융합하여 미래사회 문제에 대응하고, 全 산업의‘디지털 전환(Digital Transformation)’을 통해 사람 중심(Human Driven)의 혁신적인 新 융합기술·서비스 실현을 목표로 함 - 기존 산업구조 기반에서 마련된 현재의 기술과의 융합에서 벗어나, ICT 기술을 뒷받침하는 이론에서 파생한 새로운 융합 신기술 발굴 - 미래의 ICT 융합은‘인간을 위한’도구로서, 인간의 편리하고 안전한 삶을 지원하고, 사회 전반의 고민과 과제를 해결하는데 기여하는 사람 중심(Human-Driven)의 핵심기술로 정의함 < ICT융합분야 개념도 > 006 ICT융합 분야 Ⅰ. 개념 및 범위 2.기술분류(Technology Tree) ICT 융합기술의 응용대상 분야 ※ ICT 융합 분야 특성상 융합기술을 활용한 서비스 중점 도출이 유의미하다고 판단하여, 본 로드맵에서 기존 기술분류체계(<참고>)를 기반으로 ICT융합기술 응용 대상 분야를 아래와 같이 새로이 설정하여 이에 따른 기술을 매칭하여 활용 ‘ 혁신성장을 위한 사람 중심의「4차산업혁명 대응계획」’(`18. -
Williams College Archives and Special Collections File Format Recommendations
Williams College Archives and Special Collections File Format Recommendations Based on current digital data curation best practice and recommendations, the Williams College Archives has set the following confidence levels for the longevity of commonly used file formats. Record creators are encouraged to take these recommendations into consideration when determining what file formats to save records as during their active lifecycle. The longer the active lifecycle is anticipated to be, the greater the need to use formats ranked as medium or high confidence. Media type High Confidence Level Medium Confidence Low Confidence Level Level Text - Plain text (encoding: USASCII, - Cascading Style Sheets - PDF (.pdf) (encrypted) UTF-8, UTF-16 with (.css) - Microsoft Word (.doc) BOM) - DTD (.dtd) - WordPerfect (.wpd) - XML (includes XSD/XSL/ - Plain text (ISO 8859-1 - DVI (.dvi) XHTML, etc.; with included or encoding) - All other text forMats accessible schema and - PDF (.pdf) (eMbedded not listed here character encoding explicitly fonts) specified) - Rich Text ForMat 1.x (.rtf) - PDF/A-1 (ISO 19005-1) - HTML (include a DOCTYPE (.pdf) declaration) - SGML (.sgMl) - Open Office (.sxw/.odt) - OOXML (ISO/IEC DIS 29500) (.docx) Raster Images - TIFF (uncoMpressed) - BMP (.bMp) - MrSID (.sid) - JPEG2000 (lossless) (.jp2) - JPEG/JFIF (.jpg) - TIFF (in Planar forMat) -PNG - JPEG2000 (lossy) (.jp2) - FlashPix (.fpx) - TIFF (coMpressed) - PhotoShop (.psd) - GIF (.gif) - RAW - Digital Negative DNG - JPEG 2000 Part 2 (*.jpf, (.dng) .jpx) - PNG (.png) - All other