
Recherche avancée
Autres articles (52)
-
Les autorisations surchargées par les plugins
27 avril 2010, parMediaspip core
autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs -
Librairies et binaires spécifiques au traitement vidéo et sonore
31 janvier 2010, parLes logiciels et librairies suivantes sont utilisées par SPIPmotion d’une manière ou d’une autre.
Binaires obligatoires FFMpeg : encodeur principal, permet de transcoder presque tous les types de fichiers vidéo et sonores dans les formats lisibles sur Internet. CF ce tutoriel pour son installation ; Oggz-tools : outils d’inspection de fichiers ogg ; Mediainfo : récupération d’informations depuis la plupart des formats vidéos et sonores ;
Binaires complémentaires et facultatifs flvtool2 : (...) -
Contribute to a better visual interface
13 avril 2011MediaSPIP is based on a system of themes and templates. Templates define the placement of information on the page, and can be adapted to a wide range of uses. Themes define the overall graphic appearance of the site.
Anyone can submit a new graphic theme or template and make it available to the MediaSPIP community.
Sur d’autres sites (9544)
-
Why when creating video file with ffmpeg when playing the video file the video is moving very fast ?
22 août 2013, par user2704319This is how I am using the
ffmpeg
arguments :public void Start(string pathFileName, int BitmapRate)
{
try
{
string outPath = pathFileName;
Logger.Write("Output Video File Directory: " + outPath);
Logger.Write("Frame Rate: " + BitmapRate.ToString());
p = new NamedPipeServerStream(pipename, PipeDirection.Out, 1, PipeTransmissionMode.Byte);
b = new byte[1920 * 1080 * 3]; // some buffer for the r g and b of pixels of an image of size 720p
ProcessStartInfo psi = new ProcessStartInfo();
psi.WindowStyle = ProcessWindowStyle.Hidden;
psi.UseShellExecute = false;
psi.CreateNoWindow = true;
psi.FileName = ffmpegFileName; // the ffmpegFileName is the ffmpeg.exe !
Logger.Write("psi.FileName: " + psi.FileName);
psi.WorkingDirectory = workingDirectory;
Logger.Write("psi.WorkingDirectory: " + psi.WorkingDirectory);
psi.Arguments = @"-f rawvideo -pix_fmt bgr0 -video_size 1920x1080 -i \\.\pipe\mytestpipe -map 0 -c:v libx264 -r " + BitmapRate + " " + outPath;
Logger.Write("ProcessStartInfo Arguments" + @"-f rawvideo -pix_fmt bgr0 -video_size 1920x1080 -i \\.\pipe\mytestpipe -map 0 -c:v libx264 -r " + BitmapRate + " " + outPath);
//psi.RedirectStandardOutput = true;
process = Process.Start(psi);
process.EnableRaisingEvents = false;
p.WaitForConnection();
}
catch (Exception err)
{
Logger.Write("Exception Error: " + err.ToString());
}
}I guess it is something with the arguments command, but I am not sure where the problem is.
I tried to google and saw that you can use h264 or libx264 only with an mp4 output file ?How can I fix this ?
When I am running the video file on any player I see everything moving very fast.
This is a screenshot of the ffmpeg cmd window :
And this is a link for the video file it created 1.37MB size and only 3 seconds length playing it with Media Player Classic :
https://skydrive.live.com/redir?resid=EB1C71C44C3976D5 !295&authkey= !AJjCZ-zINYp7h4A
https://skydrive.live.com/redir?resid=EB1C71C44C3976D5!295&authkey=!AJjCZ-zINYp7h4A
The ffmpeg command from the cmd window :
ffmpeg version N-53885-gf97e28e Copyright (c) 2000-2013 the FFmpeg developers
built on Jun 7 2013 00:32:38 with gcc 4.7.3 (GCC)
configuration: --enable-gpl --enable-version3 --disable-w32threads --enable-av
isynth --enable-bzlib --enable-fontconfig --enable-frei0r --enable-gnutls --enab
le-iconv --enable-libass --enable-libbluray --enable-libcaca --enable-libfreetyp
e --enable-libgsm --enable-libilbc --enable-libmodplug --enable-libmp3lame --ena
ble-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-l
ibopus --enable-librtmp --enable-libschroedinger --enable-libsoxr --enable-libsp
eex --enable-libtheora --enable-libtwolame --enable-libvo-aacenc --enable-libvo-
amrwbenc --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libxavs --
enable-libxvid --enable-zlib
libavutil 52. 35.100 / 52. 35.100
libavcodec 55. 15.100 / 55. 15.100
libavformat 55. 8.102 / 55. 8.102
libavdevice 55. 2.100 / 55. 2.100
libavfilter 3. 75.101 / 3. 75.101
libswscale 2. 3.100 / 2. 3.100
libswresample 0. 17.102 / 0. 17.102
libpostproc 52. 3.100 / 52. 3.100And this is when its working :
ffmpeg version N-53885-gf97e28e Copyright (c) 2000-2013 the FFmpeg developers
built on Jun 7 2013 00:32:38 with gcc 4.7.3 (GCC)
configuration: --enable-gpl --enable-version3 --disable-w32threads --enable-av
isynth --enable-bzlib --enable-fontconfig --enable-frei0r --enable-gnutls --enab
le-iconv --enable-libass --enable-libbluray --enable-libcaca --enable-libfreetyp
e --enable-libgsm --enable-libilbc --enable-libmodplug --enable-libmp3lame --ena
ble-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-l
ibopus --enable-librtmp --enable-libschroedinger --enable-libsoxr --enable-libsp
eex --enable-libtheora --enable-libtwolame --enable-libvo-aacenc --enable-libvo-
amrwbenc --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libxavs --
enable-libxvid --enable-zlib
libavutil 52. 35.100 / 52. 35.100
libavcodec 55. 15.100 / 55. 15.100
libavformat 55. 8.102 / 55. 8.102
libavdevice 55. 2.100 / 55. 2.100
libavfilter 3. 75.101 / 3. 75.101
libswscale 2. 3.100 / 2. 3.100
libswresample 0. 17.102 / 0. 17.102
libpostproc 52. 3.100 / 52. 3.100
Input #0, rawvideo, from '\\.\pipe\mytestpipe':
Duration: N/A, start: 0.000000, bitrate: 1658880 kb/s
Stream #0:0: Video: rawvideo (BGR[0] / 0x524742), bgr0, 1920x1080, 1658880 k
b/s, 25 tbr, 25 tbn, 25 tbc
No pixel format specified, yuv444p for H.264 encoding chosen.
Use -pix_fmt yuv420p for compatibility with outdated media players.
[libx264 @ 003bc420] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2
[libx264 @ 003bc420] profile High 4:4:4 Predictive, level 4.0, 4:4:4 8-bit
Output #0, avi, to 'D:\okwow.avi':
Metadata:
ISFT : Lavf55.8.102
Stream #0:0: Video: h264 (libx264) (H264 / 0x34363248), yuv444p, 1920x1080,
q=-1--1, 25 tbn, 25 tbc
Stream mapping:
Stream #0:0 -> #0:0 (rawvideo -> libx264)
Press [q] to stop, [?] for help
frame= 10 fps=1.9 q=0.0 size= 6kB time=00:00:00.00 bitrate=N/A -
Make better marketing decisions with attribution modeling
19 décembre 2017, par InnoCraftDo you suspect some traffic sources are not getting the rewards they deserve ? Do you want to know how much credit each of your marketing channel actually gets ?
When you look at which referrers contribute the most to your goal conversions or purchases, Matomo (Piwik) shows you only the referrer of the last visit. However, in reality, a visitor often visits a website multiple times from different referrers before they convert a goal. Giving all credit to the referrer of the last visit ignores all other referrers that contributed to a conversion as well.
You can now push your marketing analysis to the next level with attribution modeling and finally discover the true value of all your marketing channels. As a result, you will be able to shift your marketing efforts and spending accordingly to maximize your success and stop wasting resources. In marketing, studying this data is called attribution modeling.
Get the true value of your referrers
Attribution is a premium feature that you can easily purchase from the Matomo (Piwik) marketplace.
Once installed, you will be able to :
- identify valuable referrers that you did not see before
- invest in potential new partners
- attribute a new level of conversion
- make this work very easily by filling just a couple of form information
Identify valuable referrers that you did not see before
You probably have hundreds or even thousands of different sources listed within the referrer reports. We also guess that you have the feeling that it is always the same referrers which are credited of conversions.
Guess what, those data are probably biased or at least are not telling you the whole story.
Why ? Because by default, Matomo (Piwik) only attributes all credit to the last referrer.It is likely that many non credited sources played a role in the conversion process as well as people often visit your website several times before converting and they may come from different referrers.
This is exactly where attribution modeling comes into play. With attribution modeling, you can decide which touchpoint you want to study. For example, you can choose to give credit to all the referrers a single visitor came from each time the user visits your website, and not only look at the last one. Without this feature, chances are, that you have spent too much money and / or efforts on the wrong referrer channels in the past because many referrers that contributed to conversions were ignored. Based on the insights you get by applying different attribution models, you can make better decisions on where to shift your marketing spending and efforts.
Invest in potential new partners
Once you apply different attribution models, you will find out that you need to consider a new list of referrers which you before either over- or under-estimated in terms of how much they contributed to your conversions. You probably did not identify those sources before because Matomo (Piwik) shows only the last referrer before a conversion. But you can now also look at what these newly discovered referrers are saying about your company, looking for any advertising programs they may offer, getting in contact with the owner of the website, and more.
Apply up to 6 different attribution models
By default, Matomo (Piwik) is attributing the conversion to the last referrer only. With attribution modeling you can analyze 6 different models :
- Last Interaction : the conversion is attributed to the last referrer, even if it is a direct access.
- Last Non-Direct : the conversion is attributed to the last referrer, but not in the case of a direct access.
- First Interaction : the conversion is attributed to the first referrer which brought you the visit.
- Linear : whatever the number of referrers which brought you the conversion, they will all get the same value.
- Position Based : first and last referrer will be attributed 40% each the conversion value, the remaining 60% is divided between the rest of the referrers.
- Time Decay : this attribution model means that the closer to the date of the conversion is, the more your last referrers will get credit.
Those attribution models will enable you to analyze all your referrers deeply and increase your conversions.
Let’s look at an example where we are comparing two models : “last interaction” and “first interaction”. Our goal is to identify whether some referrers that we are currently considering as less important, are finally playing a serious role in the total amount of conversions :
Comparing Last Interaction model to First Interaction model
Here it is interesting to observe that the website www.hongkiat.com is bringing almost 90% conversion more with the first interaction model rather than the last one.
As a result we can look at this website and take the following actions :
- have a look at the message on this website
- look at opportunities to change the message
- look at opportunities to display extra marketing messages
- get in contact with the owner to identify any other communication opportunities
The Multi Channel Attribution report
Attribution modeling in Matomo (Piwik) does not require you to add any tracking code. The only thing you need is to install the plugin and let the magic happen.
Simple as pie is the word you should keep in mind for this feature. Once installed, you will find the report within the goal section, just above the goals you created :The Multi Attribution menu
There you can select the attribution model you would like to apply or compare.
Attribution modeling is not just about playing with a new report. It is above all an opportunity to increase the number of conversions by identifying referrers that you may have not recognized as valuable in the past. To grow your business, it is crucial to identify the most (and least) successful channels correctly so you can spend your time and money wisely.
The post Make better marketing decisions with attribution modeling appeared first on Analytics Platform - Matomo.
-
5 Key Benefits of Using a Tag Manager
12 décembre 2021, par erin — Analytics Tips, Marketing