Encoding Parameters Prediction for Convex Hull Video Encoding
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The Interplay of Compile-Time and Run-Time Options for Performance Prediction Luc Lesoil, Mathieu Acher, Xhevahire Tërnava, Arnaud Blouin, Jean-Marc Jézéquel
The Interplay of Compile-time and Run-time Options for Performance Prediction Luc Lesoil, Mathieu Acher, Xhevahire Tërnava, Arnaud Blouin, Jean-Marc Jézéquel To cite this version: Luc Lesoil, Mathieu Acher, Xhevahire Tërnava, Arnaud Blouin, Jean-Marc Jézéquel. The Interplay of Compile-time and Run-time Options for Performance Prediction. SPLC 2021 - 25th ACM Inter- national Systems and Software Product Line Conference - Volume A, Sep 2021, Leicester, United Kingdom. pp.1-12, 10.1145/3461001.3471149. hal-03286127 HAL Id: hal-03286127 https://hal.archives-ouvertes.fr/hal-03286127 Submitted on 15 Jul 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. The Interplay of Compile-time and Run-time Options for Performance Prediction Luc Lesoil, Mathieu Acher, Xhevahire Tërnava, Arnaud Blouin, Jean-Marc Jézéquel Univ Rennes, INSA Rennes, CNRS, Inria, IRISA Rennes, France [email protected] ABSTRACT Both compile-time and run-time options can be configured to reach Many software projects are configurable through compile-time op- specific functional and performance goals. tions (e.g., using ./configure) and also through run-time options (e.g., Existing studies consider either compile-time or run-time op- command-line parameters, fed to the software at execution time). -
Screen Capture Tools to Record Online Tutorials This Document Is Made to Explain How to Use Ffmpeg and Quicktime to Record Mini Tutorials on Your Own Computer
Screen capture tools to record online tutorials This document is made to explain how to use ffmpeg and QuickTime to record mini tutorials on your own computer. FFmpeg is a cross-platform tool available for Windows, Linux and Mac. Installation and use process depends on your operating system. This info is taken from (Bellard 2016). Quicktime Player is natively installed on most of Mac computers. This tutorial focuses on Linux and Mac. Table of content 1. Introduction.......................................................................................................................................1 2. Linux.................................................................................................................................................1 2.1. FFmpeg......................................................................................................................................1 2.1.1. installation for Linux..........................................................................................................1 2.1.1.1. Add necessary components........................................................................................1 2.1.2. Screen recording with FFmpeg..........................................................................................2 2.1.2.1. List devices to know which one to record..................................................................2 2.1.2.2. Record screen and audio from your computer...........................................................3 2.2. Kazam........................................................................................................................................4 -
Arxiv:2007.15943V1 [Cs.SE] 31 Jul 2020
MUZZ: Thread-aware Grey-box Fuzzing for Effective Bug Hunting in Multithreaded Programs Hongxu Chen§† Shengjian Guo‡ Yinxing Xue§∗ Yulei Sui¶ Cen Zhang† Yuekang Li† Haijun Wang# Yang Liu† †Nanyang Technological University ‡Baidu Security ¶University of Technology Sydney §University of Science and Technology of China #Ant Financial Services Group Abstract software performance. A typical computing paradigm of mul- tithreaded programs is to accept a set of inputs, distribute Grey-box fuzz testing has revealed thousands of vulner- computing jobs to threads, and orchestrate their progress ac- abilities in real-world software owing to its lightweight cordingly. Compared to sequential programs, however, multi- instrumentation, fast coverage feedback, and dynamic adjust- threaded programs are more prone to severe software faults. ing strategies. However, directly applying grey-box fuzzing On the one hand, the non-deterministic thread-interleavings to input-dependent multithreaded programs can be extremely give rise to concurrency-bugs like data-races, deadlocks, inefficient. In practice, multithreading-relevant bugs are usu- etc [32]. These bugs may cause the program to end up with ab- ally buried in the sophisticated program flows. Meanwhile, normal results or unexpected hangs. On the other hand, bugs existing grey-box fuzzing techniques do not stress thread- that appear under specific inputs and interleavings may lead interleavings that affect execution states in multithreaded pro- to concurrency-vulnerabilities [5, 30], resulting in memory grams. Therefore, mainstream grey-box fuzzers cannot ade- corruptions, information leakage, etc. quately test problematic segments in multithreaded software, although they might obtain high code coverage statistics. There exist a line of works on detecting bugs and vulner- To this end, we propose MUZZ, a new grey-box fuzzing abilities in multithreaded programs. -
Efficient Multi-Codec Support for OTT Services: HEVC/H.265 And/Or AV1?
Efficient Multi-Codec Support for OTT Services: HEVC/H.265 and/or AV1? Christian Timmerer†,‡, Martin Smole‡, and Christopher Mueller‡ ‡Bitmovin Inc., †Alpen-Adria-Universität San Francisco, CA, USA and Klagenfurt, Austria, EU ‡{firstname.lastname}@bitmovin.com, †{firstname.lastname}@itec.aau.at Abstract – The success of HTTP adaptive streaming is un- multiple versions (e.g., different resolutions and bitrates) and disputed and technical standards begin to converge to com- each version is divided into predefined pieces of a few sec- mon formats reducing market fragmentation. However, other onds (typically 2-10s). A client first receives a manifest de- obstacles appear in form of multiple video codecs to be sup- scribing the available content on a server, and then, the client ported in the future, which calls for an efficient multi-codec requests pieces based on its context (e.g., observed available support for over-the-top services. In this paper, we review the bandwidth, buffer status, decoding capabilities). Thus, it is state of the art of HTTP adaptive streaming formats with re- able to adapt the media presentation in a dynamic, adaptive spect to new services and video codecs from a deployment way. perspective. Our findings reveal that multi-codec support is The existing different formats use slightly different ter- inevitable for a successful deployment of today's and future minology. Adopting DASH terminology, the versions are re- services and applications. ferred to as representations and pieces are called segments, which we will use henceforth. The major differences between INTRODUCTION these formats are shown in Table 1. We note a strong differ- entiation in the manifest format and it is expected that both Today's over-the-top (OTT) services account for more than MPEG's media presentation description (MPD) and HLS's 70 percent of the internet traffic and this number is expected playlist (m3u8) will coexist at least for some time. -
User Manual 19HFL5014W Contents
User Manual 19HFL5014W Contents 1 TV Tour 3 13 Help and Support 119 1.1 Professional Mode 3 13.1 Troubleshooting 119 13.2 Online Help 120 2 Setting Up 4 13.3 Support and Repair 120 2.1 Read Safety 4 2.2 TV Stand and Wall Mounting 4 14 Safety and Care 122 2.3 Tips on Placement 4 14.1 Safety 122 2.4 Power Cable 4 14.2 Screen Care 123 2.5 Antenna Cable 4 14.3 Radiation Exposure Statement 123 3 Arm mounting 6 15 Terms of Use 124 3.1 Handle 6 15.1 Terms of Use - TV 124 3.2 Arm mounting 6 16 Copyrights 125 4 Keys on TV 7 16.1 HDMI 125 16.2 Dolby Audio 125 5 Switching On and Off 8 16.3 DTS-HD (italics) 125 5.1 On or Standby 8 16.4 Wi-Fi Alliance 125 16.5 Kensington 125 6 Specifications 9 16.6 Other Trademarks 125 6.1 Environmental 9 6.2 Operating System 9 17 Disclaimer regarding services and/or software offered by third parties 126 6.3 Display Type 9 6.4 Display Input Resolution 9 Index 127 6.5 Connectivity 9 6.6 Dimensions and Weights 10 6.7 Sound 10 7 Connect Devices 11 7.1 Connect Devices 11 7.2 Receiver - Set-Top Box 12 7.3 Blu-ray Disc Player 12 7.4 Headphones 12 7.5 Game Console 13 7.6 USB Flash Drive 13 7.7 Computer 13 8 Videos, Photos and Music 15 8.1 From a USB Connection 15 8.2 Play your Videos 15 8.3 View your Photos 15 8.4 Play your Music 16 9 Games 18 9.1 Play a Game 18 10 Professional Menu App 19 10.1 About the Professional Menu App 19 10.2 Open the Professional Menu App 19 10.3 TV Channels 19 10.4 Games 19 10.5 Professional Settings 20 10.6 Google Account 20 11 Android TV Home Screen 22 11.1 About the Android TV Home Screen 22 11.2 Open the Android TV Home Screen 22 11.3 Android TV Settings 22 11.4 Connect your Android TV 25 11.5 Channels 27 11.6 Channel Installation 27 11.7 Internet 29 11.8 Software 29 12 Open Source Software 31 12.1 Open Source License 31 2 1 TV Tour 1.1 Professional Mode What you can do In Professional Mode ON, you can have access to a large number of expert settings that enable advanced control of the TV’s state or to add additional functions. -
Ffmpeg Codecs Documentation Table of Contents
FFmpeg Codecs Documentation Table of Contents 1 Description 2 Codec Options 3 Decoders 4 Video Decoders 4.1 hevc 4.2 rawvideo 4.2.1 Options 5 Audio Decoders 5.1 ac3 5.1.1 AC-3 Decoder Options 5.2 flac 5.2.1 FLAC Decoder options 5.3 ffwavesynth 5.4 libcelt 5.5 libgsm 5.6 libilbc 5.6.1 Options 5.7 libopencore-amrnb 5.8 libopencore-amrwb 5.9 libopus 6 Subtitles Decoders 6.1 dvbsub 6.1.1 Options 6.2 dvdsub 6.2.1 Options 6.3 libzvbi-teletext 6.3.1 Options 7 Encoders 8 Audio Encoders 8.1 aac 8.1.1 Options 8.2 ac3 and ac3_fixed 8.2.1 AC-3 Metadata 8.2.1.1 Metadata Control Options 8.2.1.2 Downmix Levels 8.2.1.3 Audio Production Information 8.2.1.4 Other Metadata Options 8.2.2 Extended Bitstream Information 8.2.2.1 Extended Bitstream Information - Part 1 8.2.2.2 Extended Bitstream Information - Part 2 8.2.3 Other AC-3 Encoding Options 8.2.4 Floating-Point-Only AC-3 Encoding Options 8.3 flac 8.3.1 Options 8.4 opus 8.4.1 Options 8.5 libfdk_aac 8.5.1 Options 8.5.2 Examples 8.6 libmp3lame 8.6.1 Options 8.7 libopencore-amrnb 8.7.1 Options 8.8 libopus 8.8.1 Option Mapping 8.9 libshine 8.9.1 Options 8.10 libtwolame 8.10.1 Options 8.11 libvo-amrwbenc 8.11.1 Options 8.12 libvorbis 8.12.1 Options 8.13 libwavpack 8.13.1 Options 8.14 mjpeg 8.14.1 Options 8.15 wavpack 8.15.1 Options 8.15.1.1 Shared options 8.15.1.2 Private options 9 Video Encoders 9.1 Hap 9.1.1 Options 9.2 jpeg2000 9.2.1 Options 9.3 libkvazaar 9.3.1 Options 9.4 libopenh264 9.4.1 Options 9.5 libtheora 9.5.1 Options 9.5.2 Examples 9.6 libvpx 9.6.1 Options 9.7 libwebp 9.7.1 Pixel Format 9.7.2 Options 9.8 libx264, libx264rgb 9.8.1 Supported Pixel Formats 9.8.2 Options 9.9 libx265 9.9.1 Options 9.10 libxvid 9.10.1 Options 9.11 mpeg2 9.11.1 Options 9.12 png 9.12.1 Private options 9.13 ProRes 9.13.1 Private Options for prores-ks 9.13.2 Speed considerations 9.14 QSV encoders 9.15 snow 9.15.1 Options 9.16 vc2 9.16.1 Options 10 Subtitles Encoders 10.1 dvdsub 10.1.1 Options 11 See Also 12 Authors 1 Description# TOC This document describes the codecs (decoders and encoders) provided by the libavcodec library. -
Bosch Intelligent Streaming
Intelligent streaming | Bitrate-optimized high-quality video 1 | 22 Intelligent streaming Bitrate-optimized high-quality video – White Paper Data subject to change without notice | May 31st, 2019 BT-SC Intelligent streaming | Bitrate-optimized high-quality video 2 | 22 Table of contents 1 Introduction 3 2 Basic structures and processes 4 2.1 Image capture process ..................................................................................................................................... 4 2.2 Image content .................................................................................................................................................... 4 2.3 Scene content .................................................................................................................................................... 5 2.4 Human vision ..................................................................................................................................................... 5 2.5 Video compression ........................................................................................................................................... 6 3 Main concepts and components 7 3.1 Image processing .............................................................................................................................................. 7 3.2 VCA ..................................................................................................................................................................... 7 3.3 Smart Encoder -
Isize Bitsave:High-Quality Video Streaming at Lower Bitrates
Datasheet v20210518 iSIZE BitSave: High-Quality Video Streaming at Lower Bitrates iSIZE’s innovative BitSave technology comprises an AI-based perceptual preprocessing solution that allows conventional, third-party encoders to produce higher quality video at lower bitrate. BitSave achieves this by preprocessing the video content before it reaches the video encoder (Fig. 1), such that the output after compressing with any standard video codec is perceptually optimized with less motion artifacts or blurring, for the same or lower bitrate. BitSave neural networks are able to isolate areas of perceptual importance, such as those with high motion or detailed texture, and optimize their structure so that they are preserved better at lower bitrate by any subsequent encoder. As shown in our recent paper, when integrated as a preprocessor prior to a video encoder, BitSave is able to reduce bitrate requirements for a given quality level by up to 20% versus that encoder. When coupled with open-source AVC, HEVC and AV1 encoders, BitSave allows for up to 40% bitrate reduction at no quality compromise in comparison to leading third-party AVC, HEVC and AV1 encoding services. Lower bitrates equate to smaller filesizes, lower storage, transmission and distribution costs, reduced energy consumption and more satisfied customers. Source BitSave Encoder Delivery AI-based pre- Single pass processing processing prior One frame latency per content for an to encoding (AVC, entire ABR ladder HEVC, VP9, AV1) Improves encoding quality Integrated within Intel as measured by standard OpenVINO, ONNX and Dolby perceptual quality metrics Vision, easy to plug&play (VMAF, SSIM, VIF) within any existing workflow Figure 1. -
Is the Linux Desktop Less Secure Than Windows 10? Or How Super Mario Music Can Own Your System
IS THE LINUX DESKTOP LESS SECURE THAN WINDOWS 10? OR HOW SUPER MARIO MUSIC CAN OWN YOUR SYSTEM. Hanno Böck https://hboeck.de 1 This was too easy . It should not be possible to find a serious memory corruption vulnerability in the default Linux desktop attack surface with just a few minutes of looking. Although it’ s hard to say it, this is not the kind of situation that occurs with a latest Windows 10 default install. Is it possible that Linux desktop security has rotted? (Chris Evans) 2 NINTENDO SOUND FILES (1) Exploit against Gstreamer in Ubuntu 12.04 (LTS). Thumbnail parser. 3 NINTENDO SOUND FILES (2) NSF players are mini-emulators - the attacker can execute code in an emulator. Easier to bypass modern exploit mitigation techniques. 4 FIX The fix is to delete the affected NSF gstreamer plugin. No problem: Ubuntu shipped two different NSF player plugins. 5 FLIC EXPLOIT 6 AUTOMATIC DOWNLOADS Some browsers automatically download files to ~/Downloads. Any webpage can create files on your filesystem. (Chrome/Chromium, Epiphany, ... - not Linux specific) 7 TRACKER GNOME Desktop search tool automatically indexes all new files in a user's home - including ~/Downloads. 8 REACTION FROM TRACKER DEVELOPER Furthermore, the GStreamer guys were extremely fast in fixing it. You could claim that other libraries used for metadata extraction are just as insecure, but that'd really be bugs in these libraries to fix. (Carlos Garnacho) 9 TRACKER PARSERS (1) Gstreamer, ffmpeg, flac, totem-pl-parser, tiff, libvorbis, taglib, libpng, libexif, giflib, libjpeg-turbo, libosinfo, poppler, libxml2, exempi, libgxps, ghostscript, libitpcdata 10 TRACKER PARSERS (2) If you can exploit any of them you can exploit many Linux desktop users from the web without user interaction. -
Towards Optimal Compression of Meteorological Data: a Case Study of Using Interval-Motivated Overestimators in Global Optimization
Towards Optimal Compression of Meteorological Data: A Case Study of Using Interval-Motivated Overestimators in Global Optimization Olga Kosheleva Department of Electrical and Computer Engineering and Department of Teacher Education, University of Texas, El Paso, TX 79968, USA, [email protected] 1 Introduction The existing image and data compression techniques try to minimize the mean square deviation between the original data f(x; y; z) and the compressed- decompressed data fe(x; y; z). In many practical situations, reconstruction that only guaranteed mean square error over the data set is unacceptable. For example, if we use the meteorological data to plan a best trajectory for a plane, then what we really want to know are the meteorological parameters such as wind, temperature, and pressure along the trajectory. If along this line, the values are not reconstructed accurately enough, the plane may crash; the fact that on average, we get a good reconstruction, does not help. In general, what we need is a compression that guarantees that for each (x; y), the di®erence jf(x; y; z)¡fe(x; y; z)j is bounded by a given value ¢, i.e., that the actual value f(x; y; z) belongs to the interval [fe(x; y; z) ¡ ¢; fe(x; y; z) + ¢]: In this chapter, we describe new e±cient techniques for data compression under such interval uncertainty. 2 Optimal Data Compression: A Problem 2.1 Data Compression Is Important At present, so much data is coming from measuring instruments that it is necessary to compress this data before storing and processing. -
Adaptive Bitrate Streaming Over Cellular Networks: Rate Adaptation and Data Savings Strategies
Adaptive Bitrate Streaming Over Cellular Networks: Rate Adaptation and Data Savings Strategies Yanyuan Qin, Ph.D. University of Connecticut, 2021 ABSTRACT Adaptive bitrate streaming (ABR) has become the de facto technique for video streaming over the Internet. Despite a flurry of techniques, achieving high quality ABR streaming over cellular networks remains a tremendous challenge. First, the design of an ABR scheme needs to balance conflicting Quality of Experience (QoE) metrics such as video quality, quality changes, stalls and startup performance, which is even harder under highly dynamic bandwidth in cellular network. Second, streaming providers have been moving towards using Variable Bitrate (VBR) encodings for the video content, which introduces new challenges for ABR streaming, whose nature and implications are little understood. Third, mobile video streaming consumes a lot of data. Although many video and network providers currently offer data saving options, the existing practices are suboptimal in QoE and resource usage. Last, when the audio and video arXiv:2104.01104v2 [cs.NI] 14 May 2021 tracks are stored separately, video and audio rate adaptation needs to be dynamically coordinated to achieve good overall streaming experience, which presents interesting challenges while, somewhat surprisingly, has received little attention by the research community. In this dissertation, we tackle each of the above four challenges. Firstly, we design a framework called PIA (PID-control based ABR streaming) that strategically leverages PID control concepts and novel approaches to account for the various requirements of ABR streaming. The evaluation results demonstrate that PIA outperforms state-of-the-art schemes in providing high average bitrate with signif- icantly lower bitrate changes and stalls, while incurring very small runtime overhead. -
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Bitrate Requirements of Non-Panoramic VR Remote Rendering Viktor Kelkkanen Markus Fiedler David Lindero Blekinge Institute of Technology Blekinge Institute of Technology Ericsson Karlskrona, Sweden Karlshamn, Sweden Luleå, Sweden [email protected] [email protected] [email protected] ABSTRACT This paper shows the impact of bitrate settings on objective quality measures when streaming non-panoramic remote-rendered Virtual Reality (VR) images. Non-panoramic here refers to the images that are rendered and sent across the network, they only cover the viewport of each eye, respectively. To determine the required bitrate of remote rendering for VR, we use a server that renders a 3D-scene, encodes the resulting images using the NVENC H.264 codec and transmits them to the client across a network. The client decodes the images and displays them in the VR headset. Objective full-reference quality measures are taken by comparing the image before encoding on the server to the same image after it has been decoded on the client. By altering the average bitrate setting of the encoder, we obtain objective quality Figure 1: Example of the non-panoramic view and 3D scene scores as functions of bitrates. Furthermore, we study the impact that is rendered once per eye and streamed each frame. of headset rotation speeds, since this will also have a large effect on image quality. We determine an upper and lower bitrate limit based on headset 1 INTRODUCTION rotation speeds. The lower limit is based on a speed close to the Remote rendering for VR is commonly done by using panorama average human peak head-movement speed, 360°/s.