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Médias (91)
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Chuck D with Fine Arts Militia - No Meaning No
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
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Paul Westerberg - Looking Up in Heaven
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
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Le Tigre - Fake French
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
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Thievery Corporation - DC 3000
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
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Dan the Automator - Relaxation Spa Treatment
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
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Gilberto Gil - Oslodum
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
Autres articles (57)
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Websites made with MediaSPIP
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Creating farms of unique websites
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This allows (among other things) : implementation costs to be shared between several different projects / individuals rapid deployment of multiple unique sites creation of groups of like-minded sites, making it possible to browse media in a more controlled and selective environment than the major "open" (...) -
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 (6742)
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Amazon Elastic Transcoder vs FFMPEG [closed]
7 juillet 2017, par KiranDI’m developing a website (php based) and there is a provision to upload videos in different formats. I’m using HTML5 player for the front end presentation. So, as the ideal format that is supported by most of the browsers is mp4, I tried using ffmpeg and it works fine.
I would like to know which transcoder (Amazon Elastic Transcoder or FFMPEG) would be best for handling conversions parallely when there is a huge traffic.
There could me approximately thousands of users watching the videos and may be hundreds uploading the videos at the same time. I’m using Amazon EC2 for deployment and the traffic is mostly spiky (not flat).
I’m not sure about the acceptable speed. But, I need the one which can transcode the videos much faster.
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What is the right command to convert an mp3 file to the required codec version (MPEG version 2) and bit rate (48 kbps) for Amazon Alexa SSML ?
1er février 2019, par Asimov4I am trying to convert an mp3 file to the format expected by the audio tag in the Amazon Alexa SSML markup language as described here : https://developer.amazon.com/public/solutions/alexa/alexa-skills-kit/docs/speech-synthesis-markup-language-ssml-reference
The documentation recommends using https://www.ffmpeg.org/ffmpeg.html
I tried this command but can’t find the right codec to use :
ffmpeg -y -i input.mp3 -ar 44100 -ab 48k -codec:a mpeg2 -ac 1 output.mp3
I know I need to convert the file because Alexa fails with the following error :
The audio is not of a supported MPEG version
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Upload FFmpeg output directly to Amazon S3
26 octobre 2017, par user1790300I am using the fluent-ffmpeg library with node.js to transcode videos originally in a flash movie format to the mp3 format with multiple resolutions, 1080p, etc.. Once the transcoding is complete, I would like to move the transcoded video to an s3 bucket.
I pull the original .flv file from a source s3 bucket and pass the stream to the ffmpeg constructor function. The issue is after the transcoding completes, how do I then get the stream of the mp4 data to send to s3.
Here is the code I have so far :
var params = {
Bucket: process.env.SOURCE_BUCKET,
Key: fileName
};
s3.getObject(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
var format = ffmpeg(data)
.size('854x480')
.videoCodec('libx264')
.format('flv')
.toFormat('mp4');
.on('end', function () {
//Ideally, I would like to do the uploading here
var params = {
Body: //{This is my confusion, how do I get the stream to add here?},
Bucket: process.env.TRANSCODED_BUCKET,
Key: fileName
};
s3.putObject(params, function (err, data) {
});
})
.on('error', function (err) {
console.log('an error happened: ' + err.message);
});
});For the code above, where can I get the transcoded stream to add to the "Body" property of the params object ?
Update :
Here is a revision of what I am trying to do :
var outputStream: MemoryStream = new MemoryStream();
var proc = ffmpeg(currentStream)
.size('1920x1080')
.videoCodec('libx264')
.format('avi')
.toFormat('mp4')
.output(outputStream)
// setup event handlers
.on('end', function () {
uploadFile(outputStream, "").then(function(){
resolve();
})
})
.on('error', function (err) {
console.log('an error happened: ' + err.message);
});I would like to avoid copying the file to the local filesystem from s3, rather I would prefer to process the file in memory and upload back to s3 when finished. Would fluent-ffmpeg allow this scenario ?