Network Working Group T. Daede Internet-Draft J. Moffitt Intended Status: Informational Mozilla Expires: April 21, 2016 October 19, 2015
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Network Working Group A
Network Working Group A. Filippov Internet Draft Huawei Technologies Intended status: Informational A. Norkin Netflix J.R. Alvarez Huawei Technologies Expires: May 17, 2017 November 17, 2016 <Video Codec Requirements and Evaluation Methodology> draft-ietf-netvc-requirements-04.txt Status of this Memo This Internet-Draft is submitted in full conformance with the provisions of BCP 78 and BCP 79. Internet-Drafts are working documents of the Internet Engineering Task Force (IETF), its areas, and its working groups. Note that other groups may also distribute working documents as Internet- Drafts. The list of current Internet-Drafts can be accessed at http://datatracker.ietf.org/drafts/current/ Internet-Drafts are draft documents valid for a maximum of six months and may be updated, replaced, or obsoleted by other documents at any time. It is inappropriate to use Internet-Drafts as reference material or to cite them other than as "work in progress." The list of current Internet-Drafts can be accessed at http://www.ietf.org/1id-abstracts.html The list of Internet-Draft Shadow Directories can be accessed at http://www.ietf.org/shadow.html This Internet-Draft will expire on May 17, 2017. Copyright Notice Copyright (c) 2016 IETF Trust and the persons identified as the document authors. All rights reserved. This document is subject to BCP 78 and the IETF Trust’s Legal Provisions Relating to IETF Documents (http://trustee.ietf.org/license-info) in effect on the date of publication of this document. Please review these documents carefully, as they describe your rights and restrictions with <Filippov> Expires May 17, 2017 [Page 1] Internet-Draft Video Codec Requirements and Evaluation November 2016 respect to this document. -
DVP Tutorial
IP Video Conferencing: A Tutorial Roman Sorokin, Jean-Louis Rougier Abstract Video conferencing is a well-established area of communications, which have been studied for decades. Recently this area has received a new impulse due to significantly increased bandwidth of Local and Wide area networks, appearance of low-priced video equipment and development of web based media technologies. This paper presents the main techniques behind the modern IP-based videoconferencing services, with a particular focus on codecs, network protocols, architectures and standardization efforts. Questions of security and topologies are also tackled. A description of a typical video conference scenario is provided, demonstrating how the technologies, responsible for different conference aspects, are working together. Traditional industrial disposition as well as modern innovative approaches are both addressed. Current industry trends are highlighted in respect to the topics, described in the tutorial. Legacy analog/digital technologies, together with the gateways between the traditional and the IP videoconferencing systems, are not considered. Keywords Video Conferencing, codec, SVC, MCU, SIP, RTP Roman Sorokin ALE International, Colombes, France e-mail: [email protected] Jean-Louis Rougier Télécom ParisTech, Paris, France e-mail: [email protected] 1 1 Introduction Video conferencing is a two-way interactive communication, delivered over networks of different nature, which allows people from several locations to participate in a meeting. Conference participants use video conferencing endpoints of different types. Generally a video conference endpoint has a camera and a microphone. The video stream, generated by the camera, and the audio stream, coming from the microphone, are both compressed and sent to the network interface. -
Ogg Audio Codec Download
Ogg audio codec download click here to download To obtain the source code, please see the xiph download page. To get set up to listen to Ogg Vorbis music, begin by selecting your operating system above. Check out the latest royalty-free audio codec from Xiph. To obtain the source code, please see the xiph download page. Ogg Vorbis is Vorbis is everywhere! Download music Music sites Donate today. Get Set Up To Listen: Windows. Playback: These DirectShow filters will let you play your Ogg Vorbis files in Windows Media Player, and other OggDropXPd: A graphical encoder for Vorbis. Download Ogg Vorbis Ogg Vorbis is a lossy audio codec which allows you to create and play Ogg Vorbis files using the command-line. The following end-user download links are provided for convenience: The www.doorway.ru DirectShow filters support playing of files encoded with Vorbis, Speex, Ogg Codecs for Windows, version , ; project page - for other. Vorbis Banner Xiph Banner. In our effort to bring Ogg: Media container. This is our native format and the recommended container for all Xiph codecs. Easy, fast, no torrents, no waiting, no surveys, % free, working www.doorway.ru Free Download Ogg Vorbis ACM Codec - A new audio compression codec. Ogg Codecs is a set of encoders and deocoders for Ogg Vorbis, Speex, Theora and FLAC. Once installed you will be able to play Vorbis. Ogg Vorbis MSACM Codec was added to www.doorway.ru by Bjarne (). Type: Freeware. Updated: Audiotags: , 0x Used to play digital music, such as MP3, VQF, AAC, and other digital audio formats. -
Opus, a Free, High-Quality Speech and Audio Codec
Opus, a free, high-quality speech and audio codec Jean-Marc Valin, Koen Vos, Timothy B. Terriberry, Gregory Maxwell 29 January 2014 Xiph.Org & Mozilla What is Opus? ● New highly-flexible speech and audio codec – Works for most audio applications ● Completely free – Royalty-free licensing – Open-source implementation ● IETF RFC 6716 (Sep. 2012) Xiph.Org & Mozilla Why a New Audio Codec? http://xkcd.com/927/ http://imgs.xkcd.com/comics/standards.png Xiph.Org & Mozilla Why Should You Care? ● Best-in-class performance within a wide range of bitrates and applications ● Adaptability to varying network conditions ● Will be deployed as part of WebRTC ● No licensing costs ● No incompatible flavours Xiph.Org & Mozilla History ● Jan. 2007: SILK project started at Skype ● Nov. 2007: CELT project started ● Mar. 2009: Skype asks IETF to create a WG ● Feb. 2010: WG created ● Jul. 2010: First prototype of SILK+CELT codec ● Dec 2011: Opus surpasses Vorbis and AAC ● Sep. 2012: Opus becomes RFC 6716 ● Dec. 2013: Version 1.1 of libopus released Xiph.Org & Mozilla Applications and Standards (2010) Application Codec VoIP with PSTN AMR-NB Wideband VoIP/videoconference AMR-WB High-quality videoconference G.719 Low-bitrate music streaming HE-AAC High-quality music streaming AAC-LC Low-delay broadcast AAC-ELD Network music performance Xiph.Org & Mozilla Applications and Standards (2013) Application Codec VoIP with PSTN Opus Wideband VoIP/videoconference Opus High-quality videoconference Opus Low-bitrate music streaming Opus High-quality music streaming Opus Low-delay -
High Efficiency, Moderate Complexity Video Codec Using Only RF IPR
Thor High Efficiency, Moderate Complexity Video Codec using only RF IPR draft-fuldseth-netvc-thor-00 Arild Fuldseth, Gisle Bjontegaard (Cisco) IETF 93 – Prague, CZ – July 2015 1 Design principles • Moderate complexity to allow real-time implementation in SW on common HW, as well as new HW designs • Basic building blocks from well-known hybrid approach (motion compensated prediction and transform coding) • Common design elements in modern codecs – Larger block sizes and transforms, up to 64x64 – Quarter pixel interpolation, motion vector prediction, etc. • Cisco RF IPR (note well: declaration filed on draft) – Deblocking, transforms, etc. (some also essential in H.265/4) • Avoid non-RF IPR – If/when others offer RF IPR, design/performance will improve 2 Encoder Architecture Input Transform Quantizer Entropy Output video Coding bitstream - Inverse Transform Intra Frame Prediction Loop filters Inter Frame Prediction Reconstructed Motion Frame Estimation Memory 3 Decoder Architecture Input Entropy Inverse Bitstream Decoding Transform Intra Frame Prediction Loop filters Inter Frame Prediction Output video Reconstructed Frame Memory 4 Block Structure • Super block (SB) 64x64 • Quad-tree split into coding blocks (CB) >= 8x8 • Multiple prediction blocks (PB) per CB • Intra: 1 PB per CB • Inter: 1, 2 (rectangular) or 4 (square) PBs per CB • 1 or 4 transform blocks (TB) per CB 5 Coding-block modes • Intra • Inter0 MV index, no residual information • Inter1 MV index, residual information • Inter2 Explicit motion vector information, residual information -
Multi-Core Platforms for Audio and Multimedia Coding Algorithms in Telecommunications
Antti Pakarinen Multi-core platforms for audio and multimedia coding algorithms in telecommunications School of Electrical Engineering Thesis submitted for examination for the degree of Master of Science in Technology. Kirkkonummi 14.9.2012 Thesis supervisor: Prof. Vesa V¨alim¨aki Thesis instructor: M.Sc. (Tech.) Jussi Pekonen Aalto University School of Electrical A! Engineering aalto university abstract of the school of electrical engineering master's thesis Author: Antti Pakarinen Title: Multi-core platforms for audio and multimedia coding algorithms in telecommunications Date: 14.9.2012 Language: English Number of pages: 9+63 Department of Signal processing and Acoustics Professorship: Acoustics and Audio Signal processing Code: S-89 Supervisor: Prof. Vesa V¨alim¨aki Instructor: M.Sc. (Tech.) Jussi Pekonen Multimedia coding algorithms used in telecommunications evolve constantly. Ben- efits and properties of two new hybrid audio codecs (USAC, Opus) were reviewed on a high level as a literature study. It was found that both have succeeded well in subjective sound quality measurements. Tilera TILEPro64-multicore platform and a related software library was evaluated in terms of performance in multimedia coding. The performance in video coding was found to increase with the number of processing cores up to a certain point. With the tested audio codecs, increasing the number of cores did not increase coding performance. Additionally, multicore products of Tilera, Texas Instruments and Freescale were compared. Develop- ment tools of all three vendors were found to have similiar features, despite the differences in hardware architectures. Keywords: Multimedia, audio, video, coding algorithms, multicore aalto-yliopisto diplomityon¨ sahk¨ otekniikan¨ korkeakoulu tiivistelma¨ Tekij¨a:Antti Pakarinen Ty¨onnimi: Moniydinsuorittimet audion ja multimedian koodausalgoritmeille tietoliikenteess¨a P¨aiv¨am¨a¨ar¨a:14.9.2012 Kieli: Englanti Sivum¨a¨ar¨a:9+63 Signaalink¨asittelynja akustiikan laitos Professuuri: Akustiikka ja ¨a¨anenk¨asittely Koodi: S-89 Valvoja: Prof. -
Video Compression Optimized for Racing Drones
Video compression optimized for racing drones Henrik Theolin Computer Science and Engineering, master's level 2018 Luleå University of Technology Department of Computer Science, Electrical and Space Engineering Video compression optimized for racing drones November 10, 2018 Preface To my wife and son always! Without you I'd never try to become smarter. Thanks to my supervisor Staffan Johansson at Neava for providing room, tools and the guidance needed to perform this thesis. To my examiner Rickard Nilsson for helping me focus on the task and reminding me of the time-limit to complete the report. i of ii Video compression optimized for racing drones November 10, 2018 Abstract This thesis is a report on the findings of different video coding tech- niques and their suitability for a low powered lightweight system mounted on a racing drone. Low latency, high consistency and a robust video stream is of the utmost importance. The literature consists of multiple comparisons and reports on the efficiency for the most commonly used video compression algorithms. These reports and findings are mainly not used on a low latency system but are testing in a laboratory environment with settings unusable for a real-time system. The literature that deals with low latency video streaming and network instability shows that only a limited set of each compression algorithms are available to ensure low complexity and no added delay to the coding process. The findings re- sulted in that AVC/H.264 was the most suited compression algorithm and more precise the x264 implementation was the most optimized to be able to perform well on the low powered system. -
Scape D10.1 Keeps V1.0
Identification and selection of large‐scale migration tools and services Authors Rui Castro, Luís Faria (KEEP Solutions), Christoph Becker, Markus Hamm (Vienna University of Technology) June 2011 This work was partially supported by the SCAPE Project. The SCAPE project is co-funded by the European Union under FP7 ICT-2009.4.1 (Grant Agreement number 270137). This work is licensed under a CC-BY-SA International License Table of Contents 1 Introduction 1 1.1 Scope of this document 1 2 Related work 2 2.1 Preservation action tools 3 2.1.1 PLANETS 3 2.1.2 RODA 5 2.1.3 CRiB 6 2.2 Software quality models 6 2.2.1 ISO standard 25010 7 2.2.2 Decision criteria in digital preservation 7 3 Criteria for evaluating action tools 9 3.1 Functional suitability 10 3.2 Performance efficiency 11 3.3 Compatibility 11 3.4 Usability 11 3.5 Reliability 12 3.6 Security 12 3.7 Maintainability 13 3.8 Portability 13 4 Methodology 14 4.1 Analysis of requirements 14 4.2 Definition of the evaluation framework 14 4.3 Identification, evaluation and selection of action tools 14 5 Analysis of requirements 15 5.1 Requirements for the SCAPE platform 16 5.2 Requirements of the testbed scenarios 16 5.2.1 Scenario 1: Normalize document formats contained in the web archive 16 5.2.2 Scenario 2: Deep characterisation of huge media files 17 v 5.2.3 Scenario 3: Migrate digitised TIFFs to JPEG2000 17 5.2.4 Scenario 4: Migrate archive to new archiving system? 17 5.2.5 Scenario 5: RAW to NEXUS migration 18 6 Evaluation framework 18 6.1 Suitability for testbeds 19 6.2 Suitability for platform 19 6.3 Technical instalability 20 6.4 Legal constrains 20 6.5 Summary 20 7 Results 21 7.1 Identification of candidate tools 21 7.2 Evaluation and selection of tools 22 8 Conclusions 24 9 References 25 10 Appendix 28 10.1 List of identified action tools 28 vi 1 Introduction A preservation action is a concrete action, usually implemented by a software tool, that is performed on digital content in order to achieve some preservation goal. -
Daala: a Perceptually-Driven Still Picture Codec
DAALA: A PERCEPTUALLY-DRIVEN STILL PICTURE CODEC Jean-Marc Valin, Nathan E. Egge, Thomas Daede, Timothy B. Terriberry, Christopher Montgomery Mozilla, Mountain View, CA, USA Xiph.Org Foundation ABSTRACT and vertical directions [1]. Also, DC coefficients are com- bined recursively using a Haar transform, up to the level of Daala is a new royalty-free video codec based on perceptually- 64x64 superblocks. driven coding techniques. We explore using its keyframe format for still picture coding and show how it has improved over the past year. We believe the technology used in Daala Multi-Symbol Entropy Coder could be the basis of an excellent, royalty-free image format. Most recent video codecs encode information using binary arithmetic coding, meaning that each symbol can only take 1. INTRODUCTION two values. The Daala range coder supports up to 16 values per symbol, making it possible to encode fewer symbols [6]. Daala is a royalty-free video codec designed to avoid tra- This is equivalent to coding up to four binary values in parallel ditional patent-encumbered techniques used in most cur- and reduces serial dependencies. rent video codecs. In this paper, we propose to use Daala’s keyframe format for still picture coding. In June 2015, Daala was compared to other still picture codecs at the 2015 Picture Perceptual Vector Quantization Coding Symposium (PCS) [1,2]. Since then many improve- Rather than use scalar quantization like the vast majority of ments were made to the bitstream to improve its quality. picture and video codecs, Daala is based on perceptual vector These include reduced overlap in the lapped transform, finer quantization (PVQ) [7]. -
CELT Overview
Overview of CELT Jean-Marc Valin Timothy B. Terriberry Gregory Maxwell CELT: Constrained Energy Lapped Transform ● Transform codec (MDCT, like MP3, Vorbis) – Short windows (5-22 ms), poor frequency resolution ● Explicitly code energy of each band of the signal – Coarse shape of sound preserved no matter what ● Code remaining details using vector quantization ● Variable time-frequency resolution for transients ● Now uses pitch post-filtering 2 Block Diagram Encoder Decoder Band Q1 energy band energy Pre- Post- Input Window MDCT / Q x -1 WOLA Output filter 3 residual MDCT filter Side information (period and gain) 3 "Lapped Transform" Modified DCT ● The normal DCT causes coding artifacts (sharp discontinuities) between blocks, easily audible ● The "Modified" DCT (MDCT) uses a decaying window to overlap multiple blocks – Same transform used in MP3, Vorbis, AAC, etc. – But with much smaller blocks, less overlap 4 "Constrained Energy" Critical Bands ● Group MDCT coefficients into bands approximating the critical bands (Bark scale) Bark Scale vs. CELT @ 48kHz, Frame Size=256 Bark CELT 0 2000 4000 6000 8000 10000 12000 14000 16000 18000 20000 Frequency (Hz) 5 "Constrained Energy" Coding Band Energy ● Most important psychoacoustic lesson learned from Vorbis: Preserve the energy in each band ● Vorbis does this implicitly with its "floor curve" ● CELT codes the energy explicitly – Coarse energy (6 dB resolution), predicted from previous frame and from previous band – Fine energy, improves resolution where we have available bits, not predicted 6 Coding -
Supported Codecs and Formats Codecs
Supported Codecs and Formats Codecs: D..... = Decoding supported .E.... = Encoding supported ..V... = Video codec ..A... = Audio codec ..S... = Subtitle codec ...I.. = Intra frame-only codec ....L. = Lossy compression .....S = Lossless compression ------- D.VI.. 012v Uncompressed 4:2:2 10-bit D.V.L. 4xm 4X Movie D.VI.S 8bps QuickTime 8BPS video .EVIL. a64_multi Multicolor charset for Commodore 64 (encoders: a64multi ) .EVIL. a64_multi5 Multicolor charset for Commodore 64, extended with 5th color (colram) (encoders: a64multi5 ) D.V..S aasc Autodesk RLE D.VIL. aic Apple Intermediate Codec DEVIL. amv AMV Video D.V.L. anm Deluxe Paint Animation D.V.L. ansi ASCII/ANSI art DEVIL. asv1 ASUS V1 DEVIL. asv2 ASUS V2 D.VIL. aura Auravision AURA D.VIL. aura2 Auravision Aura 2 D.V... avrn Avid AVI Codec DEVI.. avrp Avid 1:1 10-bit RGB Packer D.V.L. avs AVS (Audio Video Standard) video DEVI.. avui Avid Meridien Uncompressed DEVI.. ayuv Uncompressed packed MS 4:4:4:4 D.V.L. bethsoftvid Bethesda VID video D.V.L. bfi Brute Force & Ignorance D.V.L. binkvideo Bink video D.VI.. bintext Binary text DEVI.S bmp BMP (Windows and OS/2 bitmap) D.V..S bmv_video Discworld II BMV video D.VI.S brender_pix BRender PIX image D.V.L. c93 Interplay C93 D.V.L. cavs Chinese AVS (Audio Video Standard) (AVS1-P2, JiZhun profile) D.V.L. cdgraphics CD Graphics video D.VIL. cdxl Commodore CDXL video D.V.L. cinepak Cinepak DEVIL. cljr Cirrus Logic AccuPak D.VI.S cllc Canopus Lossless Codec D.V.L. -
Implementing OPUS Voice Code for Tm4c129x Device
Application Report SPMA076–June 2016 Implementing OPUS Voice Code for TM4C129x Device AmitAshara ABSTRACT Opus is an open source, royalty-free audio compression format developed by Xiph and standardized by the IETF. It utilizes lossy compression which is designed to efficiently code audio with a low latency making it suitable for real time communication. Opus replaces both the Vorbis and Speex codecs, and is intended for storage and streaming applications. Its low complexity allows it to be run efficiently on TM4C129x series microcontroller from Texas Instruments. This document describes how to use the Code Composer Studio™ v6.1.1 software to build Opus and the examples that can be used to exercise compression and decompression functions provided. Project collateral and source code mentioned in this document can be downloaded from the following URL: http://www.ti.com/lit/zip/spma076. NOTE: This document applies to TM4C129x series microcontrollers. All screen captures reflect the TM4C129x device and Code Composer Studio v6.1.1 IDE. Contents 1 Introduction ................................................................................................................... 2 2 System Details ............................................................................................................... 2 3 Example Code Description ................................................................................................. 4 4 Executing OPUS Example Project ......................................................................................