DOCSLIB.ORG

Ffmpeg Filters Documentation Table of Contents

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Ffmpeg Filters Documentation Table of Contents FFmpeg Filters Documentation Table of Contents 1 Description 2 Filtering Introduction 3 graph2dot 4 Filtergraph description 4.1 Filtergraph syntax 4.2 Notes on filtergraph escaping 5 Timeline editing 6 Options for filters with several inputs (framesync) 7 Audio Filters 7.1 acompressor 7.2 acontrast 7.3 acopy 7.4 acrossfade 7.4.1 Examples 7.5 acrusher 7.6 adelay 7.6.1 Examples 7.7 aecho 7.7.1 Examples 7.8 aemphasis 7.9 aeval 7.9.1 Examples 7.10 afade 7.10.1 Examples 7.11 afftfilt 7.11.1 Examples 7.12 afir 7.12.1 Examples 7.13 aformat 7.14 agate 7.15 aiir 7.15.1 Examples 7.16 alimiter 7.17 allpass 7.17.1 Commands 7.18 aloop 7.19 amerge 7.19.1 Examples 7.20 amix 7.21 anequalizer 7.21.1 Examples 7.21.2 Commands 7.22 anull 7.23 apad 7.23.1 Examples 7.24 aphaser 7.25 apulsator 7.26 aresample 7.26.1 Examples 7.27 areverse 7.27.1 Examples 7.28 asetnsamples 7.29 asetrate 7.30 ashowinfo 7.31 astats 7.32 atempo 7.32.1 Examples 7.33 atrim 7.34 bandpass 7.34.1 Commands 7.35 bandreject 7.35.1 Commands 7.36 bass 7.36.1 Commands 7.37 biquad 7.37.1 Commands 7.38 bs2b 7.39 channelmap 7.39.1 Examples 7.40 channelsplit 7.40.1 Examples 7.41 chorus 7.41.1 Examples 7.42 compand 7.42.1 Examples 7.43 compensationdelay 7.44 crossfeed 7.45 crystalizer 7.46 dcshift 7.47 drmeter 7.48 dynaudnorm 7.49 earwax 7.50 equalizer 7.50.1 Examples 7.50.2 Commands 7.51 extrastereo 7.52 firequalizer 7.52.1 Examples 7.53 flanger 7.54 haas 7.55 hdcd 7.56 headphone 7.56.1 Examples 7.57 highpass 7.57.1 Commands 7.58 join 7.59 ladspa 7.59.1 Examples 7.59.2 Commands 7.60 loudnorm 7.61 lowpass 7.61.1 Examples 7.61.2 Commands 7.62 lv2 7.62.1 Examples 7.63 mcompand 7.64 pan 7.64.1 Mixing examples 7.64.2 Remapping examples 7.65 replaygain 7.66 resample 7.67 rubberband 7.68 sidechaincompress 7.68.1 Examples 7.69 sidechaingate 7.70 silencedetect 7.70.1 Examples 7.71 silenceremove 7.71.1 Examples 7.72 sofalizer 7.72.1 Examples 7.73 stereotools 7.73.1 Examples 7.74 stereowiden 7.75 superequalizer 7.76 surround 7.77 treble 7.77.1 Commands 7.78 tremolo 7.79 vibrato 7.80 volume 7.80.1 Commands 7.80.2 Examples 7.81 volumedetect 7.81.1 Examples 8 Audio Sources 8.1 abuffer 8.1.1 Examples 8.2 aevalsrc 8.2.1 Examples 8.3 anullsrc 8.3.1 Examples 8.4 flite 8.4.1 Examples 8.5 anoisesrc 8.5.1 Examples 8.6 hilbert 8.7 sine 8.7.1 Examples 9 Audio Sinks 9.1 abuffersink 9.2 anullsink 10 Video Filters 10.1 alphaextract 10.2 alphamerge 10.3 ass 10.4 atadenoise 10.5 avgblur 10.6 bbox 10.7 bitplanenoise 10.8 blackdetect 10.9 blackframe 10.10 blend, tblend 10.10.1 Examples 10.11 boxblur 10.11.1 Examples 10.12 bwdif 10.13 chromakey 10.13.1 Examples 10.14 ciescope 10.15 codecview 10.15.1 Examples 10.16 colorbalance 10.16.1 Examples 10.17 colorkey 10.17.1 Examples 10.18 colorlevels 10.18.1 Examples 10.19 colorchannelmixer 10.19.1 Examples 10.20 colormatrix 10.21 colorspace 10.22 convolution 10.22.1 Examples 10.23 convolve 10.24 copy 10.25 coreimage 10.25.1 Examples 10.26 crop 10.26.1 Examples 10.26.2 Commands 10.27 cropdetect 10.28 curves 10.28.1 Examples 10.29 datascope 10.30 dctdnoiz 10.30.1 Examples 10.31 deband 10.32 decimate 10.33 deconvolve 10.34 deflate 10.35 deflicker 10.36 dejudder 10.37 delogo 10.37.1 Examples 10.38 deshake 10.39 despill 10.40 detelecine 10.41 dilation 10.42 displace 10.42.1 Examples 10.43 drawbox 10.43.1 Examples 10.44 drawgrid 10.44.1 Examples 10.45 drawtext 10.45.1 Syntax 10.45.2 Text expansion 10.45.3 Examples 10.46 edgedetect 10.46.1 Examples 10.47 eq 10.47.1 Commands 10.48 erosion 10.49 extractplanes 10.49.1 Examples 10.50 elbg 10.51 entropy 10.52 fade 10.52.1 Examples 10.53 fftfilt 10.53.1 Examples 10.54 field 10.55 fieldhint 10.56 fieldmatch 10.56.1 p/c/n/u/b meaning 10.56.1.1 p/c/n 10.56.1.2 u/b 10.56.2 Examples 10.57 fieldorder 10.58 fifo, afifo 10.59 fillborders 10.60 find_rect 10.60.1 Examples 10.61 cover_rect 10.61.1 Examples 10.62 floodfill 10.63 format 10.63.1 Examples 10.64 fps 10.64.1 Examples 10.65 framepack 10.66 framerate 10.67 framestep 10.68 frei0r 10.68.1 Examples 10.69 fspp 10.70 gblur 10.71 geq 10.71.1 Examples 10.72 gradfun 10.72.1 Examples 10.73 haldclut 10.73.1 Workflow examples 10.73.1.1 Hald CLUT video stream 10.73.1.2 Hald CLUT with preview 10.74 hflip 10.75 histeq 10.76 histogram 10.76.1 Examples 10.77 hqdn3d 10.78 hwdownload 10.79 hwmap 10.80 hwupload 10.81 hwupload_cuda 10.82 hqx 10.83 hstack 10.84 hue 10.84.1 Examples 10.84.2 Commands 10.85 hysteresis 10.86 idet 10.87 il 10.88 inflate 10.89 interlace 10.90 kerndeint 10.90.1 Examples 10.91 lenscorrection 10.91.1 Options 10.92 libvmaf 10.93 limiter 10.94 loop 10.95 lut3d 10.96 lumakey 10.97 lut, lutrgb, lutyuv 10.97.1 Examples 10.98 lut2, tlut2 10.98.1 Examples 10.99 maskedclamp 10.100 maskedmerge 10.101 mcdeint 10.102 mergeplanes 10.102.1 Examples 10.103 mestimate 10.104 midequalizer 10.105 minterpolate 10.106 mix 10.107 mpdecimate 10.108 negate 10.109 nlmeans 10.110 nnedi 10.111 noformat 10.111.1 Examples 10.112 noise 10.112.1 Examples 10.113 normalize 10.113.1 Examples 10.114 null 10.115 ocr 10.116 ocv 10.116.1 dilate 10.116.2 erode 10.116.3 smooth 10.117 oscilloscope 10.117.1 Examples 10.118 overlay 10.118.1 Commands 10.118.2 Examples 10.119 owdenoise 10.120 pad 10.120.1 Examples 10.121 palettegen 10.121.1 Examples 10.122 paletteuse 10.122.1 Examples 10.123 perspective 10.124 phase 10.125 pixdesctest 10.126 pixscope 10.127 pp 10.127.1 Examples 10.128 pp7 10.129 premultiply 10.130 prewitt 10.131 program_opencl 10.132 pseudocolor 10.132.1 Examples 10.133 psnr 10.134 pullup 10.135 qp 10.135.1 Examples 10.136 random 10.137 readeia608 10.137.1 Examples 10.138 readvitc 10.138.1 Examples 10.139 remap 10.140 removegrain 10.141 removelogo 10.142 repeatfields 10.143 reverse 10.143.1 Examples 10.144 roberts 10.145 rotate 10.145.1 Examples 10.145.2 Commands 10.146 sab 10.147 scale 10.147.1 Options 10.147.2 Examples 10.147.3 Commands 10.148 scale_npp 10.149 scale2ref 10.149.1 Examples 10.150 selectivecolor 10.150.1 Examples 10.151 separatefields 10.152 setdar, setsar 10.152.1 Examples 10.153 setfield 10.154 showinfo 10.155 showpalette 10.156 shuffleframes 10.156.1 Examples 10.157 shuffleplanes 10.157.1 Examples 10.158 signalstats 10.158.1 Examples 10.159 signature 10.159.1 Examples 10.160 smartblur 10.161 ssim 10.162 stereo3d 10.162.1 Examples 10.163 streamselect, astreamselect 10.163.1 Commands 10.163.2 Examples 10.164 sobel 10.165 spp 10.166 subtitles 10.167 super2xsai 10.168 swaprect 10.169 swapuv 10.170 telecine 10.171 threshold 10.171.1 Examples 10.172 thumbnail 10.172.1 Examples 10.173 tile 10.173.1 Examples 10.174 tinterlace 10.175 tonemap 10.175.1 Options 10.176 transpose 10.177 trim 10.178 unpremultiply 10.179 unsharp 10.179.1 Examples 10.180 uspp 10.181 vaguedenoiser 10.182 vectorscope 10.183 vidstabdetect 10.183.1 Examples 10.184 vidstabtransform 10.184.1 Options 10.184.2 Examples 10.185 vflip 10.186 vfrdet 10.187 vignette 10.187.1 Expressions 10.187.2 Examples 10.188 vmafmotion 10.189 vstack 10.190 w3fdif 10.191 waveform 10.192 weave, doubleweave 10.192.1 Examples 10.193 xbr 10.194 yadif 10.195 zoompan 10.195.1 Examples 10.196 zscale 10.196.1 Options 11 Video Sources 11.1 buffer 11.2 cellauto 11.2.1 Examples 11.3 coreimagesrc 11.3.1 Examples 11.4 mandelbrot 11.5 mptestsrc 11.6 frei0r_src 11.7 life 11.7.1 Examples 11.8 allrgb, allyuv, color, haldclutsrc, nullsrc, rgbtestsrc, smptebars, smptehdbars, testsrc, testsrc2, yuvtestsrc 11.8.1 Examples 11.8.2 Commands 11.9 openclsrc 12 Video Sinks 12.1 buffersink 12.2 nullsink 13 Multimedia Filters 13.1 abitscope 13.2 ahistogram 13.3 aphasemeter 13.4 avectorscope 13.4.1 Examples 13.5 bench, abench 13.5.1 Examples 13.6 concat 13.6.1 Examples 13.6.2 Commands 13.7 drawgraph, adrawgraph 13.8 ebur128 13.8.1 Examples 13.9 interleave, ainterleave 13.9.1 Examples 13.10 metadata, ametadata 13.10.1 Examples 13.11 perms, aperms 13.12 realtime, arealtime 13.13 select, aselect 13.13.1 Examples 13.14 sendcmd, asendcmd 13.14.1 Commands syntax 13.14.2 Examples 13.15 setpts, asetpts 13.15.1 Examples 13.16 setrange 13.17 settb, asettb 13.17.1 Examples 13.18 showcqt 13.18.1 Examples 13.19 showfreqs 13.20 showspectrum 13.20.1 Examples 13.21 showspectrumpic 13.21.1 Examples 13.22 showvolume 13.23 showwaves 13.23.1 Examples 13.24 showwavespic 13.24.1 Examples 13.25 sidedata, asidedata 13.26 spectrumsynth 13.26.1 Examples 13.27 split, asplit 13.27.1 Examples 13.28 zmq, azmq 13.28.1 Examples 14 Multimedia Sources 14.1 amovie 14.2 movie 14.2.1 Examples 14.2.2 Commands 15 See Also 16 Authors 1 Description# TOC This document describes filters, sources, and sinks provided by the libavfilter library.
Load more

Recommended publications
  • User Manual for Your Receiver Or Display for More Information on How to Enable HDMI Audio and Connecting a Display to Your A/V Receiver
    C M Y CM MY CY CMY K ECM 2 High Performance Balanced Network Media Player (with integrated DAC and Streamer) Owner's Manual Version 1.1 EN ENGLISH ENG Table of contents Safety & precautions ............................................................................................. 4 The contents of the carton ...................................................................................... 4 Front panel ........................................................................................................... 4 Navigator controls ................................................................................................ 5 Rear panel connections ......................................................................................... 5 Remote control ...................................................................................................... 6 Installation .................................................................................................................. 7 Connecting audio/video..................................................................................... 7 • Analog audio output – balanced XLR ................................................ 7 • Analog audio output – unbalanced RCA ........................................... 7 • Digital audio output – HDMI ............................................................ 7 • Digital audio output – S/PDIF............................................................ 7 Connecting to a network .................................................................................
    [Show full text]
  • Edge Detection of Noisy Images Using 2-D Discrete Wavelet Transform Venkata Ravikiran Chaganti
    Florida State University Libraries Electronic Theses, Treatises and Dissertations The Graduate School 2005 Edge Detection of Noisy Images Using 2-D Discrete Wavelet Transform Venkata Ravikiran Chaganti Follow this and additional works at the FSU Digital Library. For more information, please contact [email protected] THE FLORIDA STATE UNIVERSITY FAMU-FSU COLLEGE OF ENGINEERING EDGE DETECTION OF NOISY IMAGES USING 2-D DISCRETE WAVELET TRANSFORM BY VENKATA RAVIKIRAN CHAGANTI A thesis submitted to the Department of Electrical Engineering in partial fulfillment of the requirements for the degree of Master of Science Degree Awarded: Spring Semester, 2005 The members of the committee approve the thesis of Venkata R. Chaganti th defended on April 11 , 2005. __________________________________________ Simon Y. Foo Professor Directing Thesis __________________________________________ Anke Meyer-Baese Committee Member __________________________________________ Rodney Roberts Committee Member Approved: ________________________________________________________________________ Leonard J. Tung, Chair, Department of Electrical and Computer Engineering Ching-Jen Chen, Dean, FAMU-FSU College of Engineering The office of Graduate Studies has verified and approved the above named committee members. ii Dedicate to My Father late Dr.Rama Rao, Mother, Brother and Sister-in-law without whom this would never have been possible iii ACKNOWLEDGEMENTS I thank my thesis advisor, Dr.Simon Foo, for his help, advice and guidance during my M.S and my thesis. I also thank Dr.Anke Meyer-Baese and Dr. Rodney Roberts for serving on my thesis committee. I would like to thank my family for their constant support and encouragement during the course of my studies. I would like to acknowledge support from the Department of Electrical Engineering, FAMU-FSU College of Engineering.
    [Show full text]
  • Audio Engineering Society Convention Paper
    Audio Engineering Society Convention Paper Presented at the 128th Convention 2010 May 22–25 London, UK The papers at this Convention have been selected on the basis of a submitted abstract and extended precis that have been peer reviewed by at least two qualified anonymous reviewers. This convention paper has been reproduced from the author's advance manuscript, without editing, corrections, or consideration by the Review Board. The AES takes no responsibility for the contents. Additional papers may be obtained by sending request and remittance to Audio Engineering Society, 60 East 42nd Street, New York, New York 10165-2520, USA; also see www.aes.org. All rights reserved. Reproduction of this paper, or any portion thereof, is not permitted without direct permission from the Journal of the Audio Engineering Society. Loudness Normalization In The Age Of Portable Media Players Martin Wolters1, Harald Mundt1, and Jeffrey Riedmiller2 1 Dolby Germany GmbH, Nuremberg, Germany [email protected], [email protected] 2 Dolby Laboratories Inc., San Francisco, CA, USA [email protected] ABSTRACT In recent years, the increasing popularity of portable media devices among consumers has created new and unique audio challenges for content creators, distributors as well as device manufacturers. Many of the latest devices are capable of supporting a broad range of content types and media formats including those often associated with high quality (wider dynamic-range) experiences such as HDTV, Blu-ray or DVD. However, portable media devices are generally challenged in terms of maintaining consistent loudness and intelligibility across varying media and content types on either their internal speaker(s) and/or headphone outputs.
    [Show full text]
  • EECS 442 Computer Vision: Homework 2
    EECS 442 Computer Vision: Homework 2 Instructions • This homework is due at 11:59:59 p.m. on Friday February 26th, 2021. • The submission includes two parts: 1. To Canvas: submit a zip file of all of your code. We have indicated questions where you have to do something in code in red. Your zip file should contain a single directory which has the same name as your uniqname. If I (David, uniqname fouhey) were submitting my code, the zip file should contain a single folder fouhey/ containing all required files. What should I submit? At the end of the homework, there is a canvas submission checklist provided. We provide a script that validates the submission format here. If we don’t ask you for it, you don’t need to submit it; while you should clean up the directory, don’t panic about having an extra file or two. 2. To Gradescope: submit a pdf file as your write-up, including your answers to all the questions and key choices you made. We have indicated questions where you have to do something in the report in blue. You might like to combine several files to make a submission. Here is an example online link for combining multiple PDF files: https://combinepdf.com/. The write-up must be an electronic version. No handwriting, including plotting questions. LATEX is recommended but not mandatory. Python Environment We are using Python 3.7 for this course. You can find references for the Python standard library here: https://docs.python.org/3.7/library/index.html.
    [Show full text]
  • The Kid3 Handbook
    The Kid3 Handbook Software development: Urs Fleisch The Kid3 Handbook 2 Contents 1 Introduction 11 2 Using Kid3 12 2.1 Kid3 features . 12 2.2 Example Usage . 12 3 Command Reference 14 3.1 The GUI Elements . 14 3.1.1 File List . 14 3.1.2 Edit Playlist . 15 3.1.3 Folder List . 15 3.1.4 File . 16 3.1.5 Tag 1 . 17 3.1.6 Tag 2 . 18 3.1.7 Tag 3 . 18 3.1.8 Frame List . 18 3.1.9 Synchronized Lyrics and Event Timing Codes . 21 3.2 The File Menu . 22 3.3 The Edit Menu . 28 3.4 The Tools Menu . 29 3.5 The Settings Menu . 32 3.6 The Help Menu . 37 4 kid3-cli 38 4.1 Commands . 38 4.1.1 Help . 38 4.1.2 Timeout . 38 4.1.3 Quit application . 38 4.1.4 Change folder . 38 4.1.5 Print the filename of the current folder . 39 4.1.6 Folder list . 39 4.1.7 Save the changed files . 39 4.1.8 Select file . 39 4.1.9 Select tag . 40 The Kid3 Handbook 4.1.10 Get tag frame . 40 4.1.11 Set tag frame . 40 4.1.12 Revert . 41 4.1.13 Import from file . 41 4.1.14 Automatic import . 41 4.1.15 Download album cover artwork . 42 4.1.16 Export to file . 42 4.1.17 Create playlist . 42 4.1.18 Apply filename format . 42 4.1.19 Apply tag format .
    [Show full text]
  • Extending the Faust VST Architecture with Polyphony, Portamento and Pitch Bend Yan Michalevsky Julius O
    Extending the Faust VST Architecture with Polyphony, Portamento and Pitch Bend Yan Michalevsky Julius O. Smith Andrew Best Department of Electrical Center for Computer Research in Blamsoft, Inc. Engineering, Music and Acoustics (CCRMA), [email protected] Stanford University Stanford University [email protected] AES Fellow [email protected] Abstract VST (Virtual Studio Technology) plugin stan- We introduce the vsti-poly.cpp architecture for dard was released by Steinberg GmbH (famous the Faust programming language. It provides sev- for Cubase and other music and sound produc- eral features that are important for practical use of tion products) in 1996, and was followed by the Faust-generated VSTi synthesizers. We focus on widespread version 2.0 in 1999 [8]. It is a partic- the VST architecture as one that has been used tra- ularly common format supported by many older ditionally and is supported by many popular tools, and newer tools. and add several important features: polyphony, note Some of the features expected from a VST history and pitch-bend support. These features take plugin can be found in the VST SDK code.2 Faust-generated VST instruments a step forward in Examining the list of MIDI events [1] can also terms of generating plugins that could be used in Digital Audio Workstations (DAW) for real-world hint at what capabilities are expected to be im- music production. plemented by instrument plugins. We also draw from our experience with MIDI instruments and Keywords commercial VST plugins in order to formulate sound feature requirements. Faust, VST, Plugin, DAW In order for Faust to be a practical tool for generating such plugins, it should support most 1 Introduction of the features expected, such as the following: Faust [5] is a popular music/audio signal pro- • Responding to MIDI keyboard events cessing language developed by Yann Orlarey et al.
    [Show full text]
  • Rockbox User Manual
    The Rockbox Manual for Sansa Fuze+ rockbox.org October 1, 2013 2 Rockbox http://www.rockbox.org/ Open Source Jukebox Firmware Rockbox and this manual is the collaborative effort of the Rockbox team and its contributors. See the appendix for a complete list of contributors. c 2003-2013 The Rockbox Team and its contributors, c 2004 Christi Alice Scarborough, c 2003 José Maria Garcia-Valdecasas Bernal & Peter Schlenker. Version unknown-131001. Built using pdfLATEX. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sec- tions, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled “GNU Free Documentation License”. The Rockbox manual (version unknown-131001) Sansa Fuze+ Contents 3 Contents 1. Introduction 11 1.1. Welcome..................................... 11 1.2. Getting more help............................... 11 1.3. Naming conventions and marks........................ 12 2. Installation 13 2.1. Before Starting................................. 13 2.2. Installing Rockbox............................... 13 2.2.1. Automated Installation........................ 14 2.2.2. Manual Installation.......................... 15 2.2.3. Bootloader installation from Windows................ 16 2.2.4. Bootloader installation from Mac OS X and Linux......... 17 2.2.5. Finishing the install.......................... 17 2.2.6. Enabling Speech Support (optional)................. 17 2.3. Running Rockbox................................ 18 2.4. Updating Rockbox............................... 18 2.5. Uninstalling Rockbox............................. 18 2.5.1. Automatic Uninstallation....................... 18 2.5.2. Manual Uninstallation......................... 18 2.6. Troubleshooting................................. 18 3. Quick Start 20 3.1.
    [Show full text]
  • Image Segmentation Based on Sobel Edge Detection Yuqin Yao1,A
    5th International Conference on Advanced Materials and Computer Science (ICAMCS 2016) Image Segmentation Based on Sobel Edge Detection Yuqin Yao 1,a 1 Chengdu University of Information Technology, Chengdu, 610225, China a email: [email protected] Keywords: MM-sobel, edge detection, mathematical morphology, image segmentation Abstract. This paper aiming at the digital image processing, the system research to add salt and pepper noise, digital morphological preprocessing, image filtering noise reduction based on the MM-sobel edge detection and region growing for edge detection. System in this paper, the related knowledge, and application in various fields and studied and fully unifies in together, the four finished a pair of gray image edge detection is relatively complete algorithm, through the simulation experiment shows that the algorithm for edge detection effect is remarkable, in the case of almost can keep more edge details. Research overview The edge of the image is the most important visual information in an image. Image edge detection is the base of image analysis, image processing, computer vision, pattern recognition and human visual [1]. The ultimate goal is image segmentation; the largest premise is image edge detection. Image edge extraction plays an important role in image processing and machine vision. Proper image detection method is always the research hotspots in digital image processing, there are many methods to achieve edge detection, we expect to find an accurate positioning, strong anti-noise, not false, not missing detection algorithm [2]. The edge is an important feature of an image. Typically, when we take the digital image as input, the image edge is that the gray value of the image is changing radically and discontinuous, in mathematics the point is known as the break point of signal or singular point.
    [Show full text]
  • The Top 10 Open Source Music Players Scores of Music Players Are Available in the Open Source World, and Each One Has Something That Is Unique
    For U & Me Overview The Top 10 Open Source Music Players Scores of music players are available in the open source world, and each one has something that is unique. Here are the top 10 music players for you to check out. verybody likes to use a music player that is hassle- Amarok free and easy to operate, besides having plenty of Amarok is a part of the KDE project and is the default music Efeatures to enhance the music experience. The open player in Kubuntu. Mark Kretschmann started this project. source community has developed many music players. This The Amarok experience can be enhanced with custom scripts article lists the features of the ten best open source music or by using scripts contributed by other developers. players, which will help you to select the player most Its first release was on June 23, 2003. Amarok has been suited to your musical tastes. The article also helps those developed in C++ using Qt (the toolkit for cross-platform who wish to explore the features and capabilities of open application development). Its tagline, ‘Rediscover your source music players. Music’, is indeed true, considering its long list of features. 98 | FEBRUARY 2014 | OPEN SOURCE FOR YoU | www.LinuxForU.com Overview For U & Me Table 1: Features at a glance iPod sync Track info Smart/ Name/ Fade/ gapless and USB Radio and Remotely Last.fm Playback and lyrics dynamic Feature playback device podcasts controlled integration resume lookup playlist support Amarok Crossfade Both Yes Both Yes Both Yes Yes (Xine), Gapless (Gstreamer) aTunes Fade only
    [Show full text]
  • Implementing a Parametric EQ Plug-In in C++ Using the Multi-Platform VST Specification
    2003:044 C EXTENDED ESSAY Implementing a parametric EQ plug-in in C++ using the multi-platform VST specification JONAS EKEROOT SCHOOL OF MUSIC Audio Technology Supervisor: Jan Berg 2003:044 • ISSN: 1402 – 1773 • ISRN: LTU - CUPP - - 03/44 - - SE Implementing a parametric EQ plug-in in C++ using the multi-platform VST specification Jonas Ekeroot Division of Sound Recording School of Music in Pite˚a Lule˚aUniversity of Technology April 23, 2003 Abstract As the processing power of desktop computer systems increase by every year, more and more real-time audio signal processing is per- formed on such systems. What used to be done in external effects units, e.g. adding reverb, can now be accomplished within the com- puter system using signal processing code modules – plug-ins. This thesis describes the development of a peak/notch parametric EQ VST plug-in. First a prototype was made in the graphical audio program- ming environment Max/MSP on MacOS, and then a C++ implemen- tation was made using the VST Software Development Kit. The C++ source code was compiled on both Windows and MacOS, resulting in versions of the plug-in that can be used in any VST host application on Windows and MacOS respectively. Writing a plug-in relieves the programmer of the burden to deal directly with audio interface details and graphical user interface specifics, since this is taken care of by the host application. It can thus be an interesting way to start developing audio DSP algorithms, since the host application also provides the op- portunity to listen to and measure the performance of the implemented plug-in algorithm.
    [Show full text]
  • Study and Comparison of Different Edge Detectors for Image
    Global Journal of Computer Science and Technology Graphics & Vision Volume 12 Issue 13 Version 1.0 Year 2012 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA) Online ISSN: 0975-4172 & Print ISSN: 0975-4350 Study and Comparison of Different Edge Detectors for Image Segmentation By Pinaki Pratim Acharjya, Ritaban Das & Dibyendu Ghoshal Bengal Institute of Technology and Management Santiniketan, West Bengal, India Abstract - Edge detection is very important terminology in image processing and for computer vision. Edge detection is in the forefront of image processing for object detection, so it is crucial to have a good understanding of edge detection operators. In the present study, comparative analyses of different edge detection operators in image processing are presented. It has been observed from the present study that the performance of canny edge detection operator is much better then Sobel, Roberts, Prewitt, Zero crossing and LoG (Laplacian of Gaussian) in respect to the image appearance and object boundary localization. The software tool that has been used is MATLAB. Keywords : Edge Detection, Digital Image Processing, Image segmentation. GJCST-F Classification : I.4.6 Study and Comparison of Different Edge Detectors for Image Segmentation Strictly as per the compliance and regulations of: © 2012. Pinaki Pratim Acharjya, Ritaban Das & Dibyendu Ghoshal. This is a research/review paper, distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License http://creativecommons.org/licenses/by-nc/3.0/), permitting all non-commercial use, distribution, and reproduction inany medium, provided the original work is properly cited. Study and Comparison of Different Edge Detectors for Image Segmentation Pinaki Pratim Acharjya α, Ritaban Das σ & Dibyendu Ghoshal ρ Abstract - Edge detection is very important terminology in noise the Canny edge detection [12-14] operator has image processing and for computer vision.
    [Show full text]
  • How to Create Music with GNU/Linux
    How to create music with GNU/Linux Emmanuel Saracco [email protected] How to create music with GNU/Linux by Emmanuel Saracco Copyright © 2005-2009 Emmanuel Saracco How to create music with GNU/Linux Warning WORK IN PROGRESS Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is available on the World Wide Web at http://www.gnu.org/licenses/fdl.html. Revision History Revision 0.0 2009-01-30 Revised by: es Not yet versioned: It is still a work in progress. Dedication This howto is dedicated to all GNU/Linux users that refuse to use proprietary software to work with audio. Many thanks to all Free developers and Free composers that help us day-by-day to make this possible. Table of Contents Forword................................................................................................................................................... vii 1. System settings and tuning....................................................................................................................1 1.1. My Studio....................................................................................................................................1 1.2. File system..................................................................................................................................1 1.3. Linux Kernel...............................................................................................................................2
    [Show full text]