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#7 Ambience
16 octobre 2011, par
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Autres articles (79)
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Publier sur MédiaSpip
13 juin 2013Puis-je poster des contenus à partir d’une tablette Ipad ?
Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir -
Encoding and processing into web-friendly formats
13 avril 2011, parMediaSPIP automatically converts uploaded files to internet-compatible formats.
Video files are encoded in MP4, Ogv and WebM (supported by HTML5) and MP4 (supported by Flash).
Audio files are encoded in MP3 and Ogg (supported by HTML5) and MP3 (supported by Flash).
Where possible, text is analyzed in order to retrieve the data needed for search engine detection, and then exported as a series of image files.
All uploaded files are stored online in their original format, so you can (...) -
Submit bugs and patches
13 avril 2011Unfortunately a software is never perfect.
If you think you have found a bug, report it using our ticket system. Please to help us to fix it by providing the following information : the browser you are using, including the exact version as precise an explanation as possible of the problem if possible, the steps taken resulting in the problem a link to the site / page in question
If you think you have solved the bug, fill in a ticket and attach to it a corrective patch.
You may also (...)
Sur d’autres sites (8996)
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5 perfect feature combinations to use with Heatmaps and Session Recordings
28 janvier 2020, par Jake Thornton — UncategorizedGaining valuable insights by simply creating a heatmap or setting up recordings on your most important web pages is a good start, but using the Heatmaps and Session Recordings features in combination with other Matomo features is where the real magic happens.
If you’re serious about significantly increasing conversions on your website to impact your bottom line, you need to accurately answer these questions :
- Are you analysing the most important pages that influence conversions ?
- Are you segmenting heatmaps and recordings towards your most valuable visitors ?
- Are you using these features to create better customer journeys ?
- Have you identified current pain points for visitors before setting up heatmaps and recordings ?
- Are you learning what content resonates best for your audience ?
With Matomo Analytics, you have the ability to integrate heatmaps and session recordings with all the features of a powerful web analytics platform, which means you get the complete picture of your visitor’s experience of your website.
Here are five features that work with Heatmaps and Session Recordings to maximise conversions :
1. Behaviour feature with Heatmaps
Before creating heatmaps on pages you think are most important to your website, first check out Behaviour – Pages. Here you get valuable information around unique pageviews, bounce rate, average time on page and exit rates for every page on your website.
Use this data as your starting point for heatmaps. Here you’ll identify current pain points for your visitors before using heatmaps to analyse their interactions on these pages.
Here’s how to use the behaviour feature to determine which pages to setup heatmaps on :
- Make sure you know what pages are generating the most unique page views, it could be your blog rather than your homepage
- Which pages have the highest bounce rates – can you make some quick changes above-the-fold and see if this makes a difference
- When the average time on page is high, why are visitors so engaged with these pages ? What keeps them reading ? Setup a heatmap to learn more
- Reduce exit rates by moving them along to other pages on your website
- Determine some milestones you want to achieve e.g. use heatmaps as your visual guide to improve average time on page, bounce rates and exit rates. A milestone could be that the exit rate for your previous blog was 34%, work towards getting this down to 30%
2. Ecommerce feature and Custom Segments
If you run an ecommerce business, you may want to learn only about visitors who are more likely to be your customers. For example, if you find 65% of product sales come from customers based in New York, but visits to your product pages are from every state in the USA, how can you learn more specifically about visitors only from New York ?
Using Segments to target a particular audience :
- First, make sure you have created heatmaps and recordings on the popular product pages you want to learn about your visitor’s interactions
- Note : Make sure the segment you create generates enough pageviews to apply a heatmap for more accurate results. We recommend a minimum of 1,000 page views per sample size.
- Then create a custom Segment – search Ecommerce and find the Product Name and select the product. Learn how to do this here.
Click on ‘Add a new segment’ or on the ‘edit’ link next to an existing segment name to open the segment editor :
Click on any item on the left to see the list of information you can segment by. In this case search “City”, then select “Is” and in the third column search “New York” (example in the image above) :
You can also use the search box at the bottom to search through the whole list.
- This will give you insights across the Matomo platform based only on customers who purchased this product
- Then go to the Ecommerce feature – and find Sales. Here you will learn what your most popular locations are for your product sales.
- Once you know the location you want to segment, go back and update the custom Segment you just created. Click on the edit pencil icon and update it by selecting Add AND condition, and add the sub group you would like to track on the product page. In this example, select City – New York. Click Save & Apply.
Now you should have successfully created a segment for your popular product page with visitors only from New York.
Check out the heatmap or recordings you created for this page. You may be very surprised to see how this segment engaged with your website compared to all website visitors.
Note : If you run a lead generation website you can use the Goals feature instead of Ecommerce to track the success metrics you need.
3. Visitor Profiles within Session Recordings
Seeing visitor location, device, OS and browser for your recordings is very valuable, but it’s even more valuable to integrate visitor profiles with session recordings as you get to see everything that visitor has done on your website … ever !
What pages they visited before/after the recording, what actions they took, how long they spent on your website etc. All this is captured in the visitor profile of every individual session recording so you can see where exactly engaged viewers are in their journey with your business, for example :
- How has this visitor behaved on your website in the past ?
- Is this visitor already a customer ?
- Is this the visitors first time to your website and
- What other pages on your website are they interested in seeing in this session ?
Use the visitor profiles feature within session recordings to understand the users better when watching each session.
You get the full picture of what role the page you recorded played in the overall experience of your website’s visitor. And more importantly, to see if they took the desired action you wanted them to take.
4. Funnels feature (premium feature)
The Funnels feature lets you see the customer journey from the first entry page through to the conversion page.
Once you create a funnel, you can see the % of visitors who drop off between pages on their way to converting.
In our example, you may then see page one to page two has a drop-off rate of 47%. Page two to page three 95% users drop-off rate and page three to page four 97.3% users drop-off rate.
Why is the drop-off rate so high from page two to page three and why is the drop-off rate so low from page three to page four ?
So, you may need to simplify things on page one because you may unknowingly be offering your visitor an easy way out of the funnel. Maybe the visitor is stuck reading your content and not understanding the value of your offering.
Small tip for session recordings …
With session recordings especially you can see firsthand through live recordings where exactly visitors click away from the page which exits them from your conversion funnel. Take note to see if this is a recurring issue with other visitors, then take action into fixing this hole.
Whatever the case, work towards reducing drop-off rates through your conversion funnels by discovering where the problems exist, make changes and learn how these changes affect engagement through heatmaps and recordings.
5. A/B Testing feature (premium feature)
Following on from the example with the Funnels feature, once you identify there is a problem in your conversion funnel, how do you know what is preventing visitors from taking an action that pushes them to the next page in the funnel ? You need to test different variations of content to see what works best for your visitors.
A/B Testing lets you test a variety of things, including :
- different headlines
- less copy vs more copy
- different call-to-actions
- different colour schemes
- entirely different page layouts
Once you’ve created two or more variations of specific landing pages in the conversion funnel, see how visitors interacted differently between the variations of landing pages through your heatmaps and recordings.
You may see that your visitors have scrolled further down the page because more content was provided or an important CTA button was clicked more due to a colour change. Whatever the case, using A/B testing with heatmaps and session recordings is an effective combination for increasing user engagement.
The conversion rate optimization (CRO) strategy
CRO is the process of learning what the most valuable content/aspect of your website is and how to best optimize this for your visitors to increase conversion chances.
Heatmaps and session recordings play a vital role in this strategy, but it’s how you work these features in tandem with other valuable Matomo features that will give you the most actionable insights you need to grow your business.
Want to learn how to create an effective CRO strategy ?
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ffmpeg conversion : Twitter rejects video with "Not valid video"
12 février 2020, par DeadlyBaconI have an app that uploads via twitter api chunked upload, and it finally works with photos.
However, I am trying to get it to work with videos.
Uploading didnt work out-of-the-box even though the video format is mp4. The twitter guidelines for uploads are these
With that in mind, I have this ffmpeg command so far :
ffmpeg -i in.mp4 -vf \"scale=1280:720\" -b:v 5000K -minrate 5000K -maxrate 5000K -b:a 128K -r 30 -f mp4 -vcodec libx264 -profile:v high -pix_fmt yuv420p -strict -2 -ac 2 -acodec aac out.mp4I still get "Not valid video", and I don’t know why.
Here’s my mediainfo output for out.mp4 :
General
Count : 328
Count of stream of this kind : 1
Kind of stream : General
Kind of stream : General
Stream identifier : 0
Count of video streams : 1
Count of audio streams : 1
Video_Format_List : AVC
Video_Format_WithHint_List : AVC
Codecs Video : AVC
Video_Language_List : English
Audio_Format_List : AAC
Audio_Format_WithHint_List : AAC
Audio codecs : AAC LC
Audio_Language_List : English
Complete name : video-5e4405cd4348a5e4405cd434d2.mp4
File name : video-5e4405cd4348a5e4405cd434d2
File extension : mp4
Format : MPEG-4
Format : MPEG-4
Format/Extensions usually used : mov mp4 m4v m4a m4b m4p 3ga 3gpa 3gpp 3gp 3gpp2 3g2 k3g jpm jpx mqv ismv isma ismt f4a f4b f4v
Commercial name : MPEG-4
Format profile : Base Media
Internet media type : video/mp4
Codec ID : isom
Codec ID : isom (isom/iso2/avc1/mp41)
Codec ID/Url : http://www.apple.com/quicktime/download/standalone.html
CodecID_Compatible : isom/iso2/avc1/mp41
Codec : MPEG-4
Codec : MPEG-4
Codec/Extensions usually used : mov mp4 m4v m4a m4b m4p 3ga 3gpa 3gpp 3gp 3gpp2 3g2 k3g jpm jpx mqv ismv isma ismt f4a f4b f4v
File size : 52664272
File size : 50.2 MiB
File size : 50 MiB
File size : 50 MiB
File size : 50.2 MiB
File size : 50.22 MiB
Duration : 79744
Duration : 1 min 19 s
Duration : 1 min 19 s 744 ms
Duration : 1 min 19 s
Duration : 00:01:19.744
Duration : 00:01:19:20
Duration : 00:01:19.744 (00:01:19:20)
Overall bit rate : 5283334
Overall bit rate : 5 283 kb/s
Frame rate : 30.000
Frame rate : 30.000 FPS
Frame count : 2390
Stream size : 88780
Stream size : 86.7 KiB (0%)
Stream size : 87 KiB
Stream size : 87 KiB
Stream size : 86.7 KiB
Stream size : 86.70 KiB
Stream size : 86.7 KiB (0%)
Proportion of this stream : 0.00169
HeaderSize : 40
DataSize : 52575500
FooterSize : 88732
IsStreamable : No
File last modification date : UTC 2020-02-12 14:05:37
File last modification date (local) : 2020-02-12 15:05:37
Writing application : Lavf57.83.100
Writing application : Lavf57.83.100
Video
Count : 342
Count of stream of this kind : 1
Kind of stream : Video
Kind of stream : Video
Stream identifier : 0
StreamOrder : 0
ID : 1
ID : 1
Format : AVC
Format/Info : Advanced Video Codec
Format/Url : http://developers.videolan.org/x264.html
Commercial name : AVC
Format profile : High@L3.1
Format settings : CABAC / 4 Ref Frames
Format settings, CABAC : Yes
Format settings, CABAC : Yes
Format settings, ReFrames : 4
Format settings, ReFrames : 4 frames
Internet media type : video/H264
Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Codec : AVC
Codec : AVC
Codec/Family : AVC
Codec/Info : Advanced Video Codec
Codec/Url : http://developers.videolan.org/x264.html
Codec/CC : avc1
Codec profile : High@L3.1
Codec settings : CABAC / 4 Ref Frames
Codec settings, CABAC : Yes
Codec_Settings_RefFrames : 4
Duration : 79667
Duration : 1 min 19 s
Duration : 1 min 19 s 667 ms
Duration : 1 min 19 s
Duration : 00:01:19.667
Duration : 00:01:19:20
Duration : 00:01:19.667 (00:01:19:20)
Bit rate : 5000000
Bit rate : 5 000 kb/s
Width : 1280
Width : 1 280 pixels
Height : 720
Height : 720 pixels
Sampled_Width : 1280
Sampled_Height : 720
Pixel aspect ratio : 1.000
Display aspect ratio : 1.778
Display aspect ratio : 16:9
Rotation : 0.000
Frame rate mode : CFR
Frame rate mode : Constant
FrameRate_Mode_Original : VFR
Frame rate : 30.000
Frame rate : 30.000 FPS
Frame count : 2390
Resolution : 8
Resolution : 8 bits
Colorimetry : 4:2:0
Color space : YUV
Chroma subsampling : 4:2:0
Chroma subsampling : 4:2:0
Bit depth : 8
Bit depth : 8 bits
Scan type : Progressive
Scan type : Progressive
Interlacement : PPF
Interlacement : Progressive
Bits/(Pixel*Frame) : 0.181
Stream size : 51297022
Stream size : 48.9 MiB (97%)
Stream size : 49 MiB
Stream size : 49 MiB
Stream size : 48.9 MiB
Stream size : 48.92 MiB
Stream size : 48.9 MiB (97%)
Proportion of this stream : 0.97404
Writing library : x264 - core 152 r2854 e9a5903
Writing library : x264 core 152 r2854 e9a5903
Encoded_Library_Name : x264
Encoded_Library_Version : core 152 r2854 e9a5903
Encoding settings : cabac=1 / ref=3 / deblock=1:0:0 / analyse=0x3:0x113 / me=hex / subme=7 / psy=1 / psy_rd=1.00:0.00 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=1 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-2 / threads=12 / lookahead_threads=2 / sliced_threads=0 / nr=0 / decimate=1 / interlaced=0 / bluray_compat=0 / constrained_intra=0 / bframes=3 / b_pyramid=2 / b_adapt=1 / b_bias=0 / direct=1 / weightb=1 / open_gop=0 / weightp=2 / keyint=250 / keyint_min=25 / scenecut=40 / intra_refresh=0 / rc_lookahead=40 / rc=abr / mbtree=1 / bitrate=5000 / ratetol=1.0 / qcomp=0.60 / qpmin=0 / qpmax=69 / qpstep=4 / ip_ratio=1.40 / aq=1:1.00
Language : en
Language : English
Language : English
Language : en
Language : eng
Language : en
Audio
Count : 275
Count of stream of this kind : 1
Kind of stream : Audio
Kind of stream : Audio
Stream identifier : 0
StreamOrder : 1
ID : 2
ID : 2
Format : AAC
Format/Info : Advanced Audio Codec
Commercial name : AAC
Format profile : LC
Format settings, SBR : No (Explicit)
Format settings, SBR : No (Explicit)
Codec ID : mp4a-40-2
Codec : AAC LC
Codec : AAC LC
Codec/Family : AAC
Codec/CC : 40
Duration : 79744
Duration : 1 min 19 s
Duration : 1 min 19 s 744 ms
Duration : 1 min 19 s
Duration : 00:01:19.744
Duration : 00:01:19:25
Duration : 00:01:19.744 (00:01:19:25)
Bit rate mode : CBR
Bit rate mode : Constant
Bit rate : 128257
Bit rate : 128 kb/s
Channel(s) : 2
Channel(s) : 2 channels
Channel positions : Front: L R
Channel positions : 2/0/0
ChannelLayout : L R
Samples per frame : 1024
Sampling rate : 48000
Sampling rate : 48.0 kHz
Samples count : 3827712
Frame rate : 46.875
Frame rate : 46.875 FPS (1024 SPF)
Frame count : 3738
Compression mode : Lossy
Compression mode : Lossy
Stream size : 1278470
Stream size : 1.22 MiB (2%)
Stream size : 1 MiB
Stream size : 1.2 MiB
Stream size : 1.22 MiB
Stream size : 1.219 MiB
Stream size : 1.22 MiB (2%)
Proportion of this stream : 0.02428
Language : en
Language : English
Language : English
Language : en
Language : eng
Language : en
Default : Yes
Default : Yes
Alternate group : 1
Alternate group : 1Edit : Guess Ill add my PHP code too (This is chopped in a sensible manner because the actual file is very large) :
// Set up Codebird
\Codebird\Codebird::setConsumerKey($consumer_key, $consumer_secret); // static, see README
$cb = \Codebird\Codebird::getInstance();
$cb->setToken($token, $token_secret);
$cb->setTimeout(60 * 1000); // 60 second request timeout
$video = new Video($path);
// Convert to the parameter required by twitter.
$converted = $video->convert();
$path = realpath('videos/' . $converted);
$file = fopen($path, 'rb');
$size = fstat($file)['size'];
$mime_type = mime_content_type($path);
$media = $cb->media_upload([
'command' => 'INIT',
'media_type' => $mime_type,
'media_category' => 'tweet_video',
'total_bytes' => $size,
]);
$success = $media->httpstatus >= 200 && $media->httpstatus < 300; # 2xx
if (!$success) {
throw new TwitterException("Failed to INIT upload for $path...");
}
// APPEND chunks to upload.
$mediaId = $media->media_id_string;
$segmentId = 0;
while (!feof($file)) {
echo "chunk #$segmentId....";
$chunk = fread($file, 512 * 1024); // caps out at 512 MB
echo "chunk size: ". strlen($chunk);
$media = $cb->media_upload([
'command' => 'APPEND',
'media_id' => $mediaId,
'segment_index' => $segmentId,
'media' => $chunk,
]);
$success = $media->httpstatus >= 200 && $media->httpstatus < 300; # 2xx
if (!$success) {
throw new TwitterException("Failed to APPEND to upload for $path, chunk $segmentId...");
}
$segmentId++;
}
// Close file and FINALIZE upload.
fclose($file);
echo "FINALIZING id $mediaId...";
$media = $cb->media_upload([
'command' => 'FINALIZE',
'media_id' => $mediaId,
]);
$success = $media->httpstatus >= 200 && $media->httpstatus < 300; # 2xx
if (!$success) {
var_dump($media);
throw new TwitterException("Failed to FINALIZE upload for $path...");
}
return $mediaId;Video is my ffmpeg class, which I’ll paste below, and $path is a URL leading to a perfectly valid mp4 video.
Video.php :
<?php
class VideoConversionException extends \Exception {}
class Video {
public $name;
public $converted;
public function __construct($name) {
self::clear();
$this->name = $name;
}
public function convert() {
$tmpVideo = 'video-' . uniqid() . uniqid() . '.mp4';
$videoPath = 'videos/' . $tmpVideo;
//$ffmpeg = "ffmpeg -i https://tvcanarias.acfipress.com/BC_190907_gc_teror.mp4 -vf "scale=1280:720" -b:v 5000K -b:a 128K -r 30 -f mp4 -vcodec libx264 -acodec aac output_video.mp4";
$ffmpeg = "ffmpeg -i {$this->name} -vf \"scale=1280:720\" -b:v 5000K -minrate 5000K -maxrate 5000K -b:a 128K -r 30 -f mp4 -vcodec libx264 -profile:v high -pix_fmt yuv420p -strict -2 -ac 2 -acodec aac $videoPath";
//$ffmpeg = "ffmpeg -i {$this->name} -pix_fmt yuv420p -vcodec libx264 -vf scale=640:-1 -acodec aac -vb 1024k -minrate 1024k -maxrate 1024k -bufsize 1024k -ar 44100 -ac 2 -strict experimental -r 30 $videoPath";
$output = [];
exec($ffmpeg, $output, $status);
if ($status != 0) {
//die("Couldnt run ffmpeg. (Error code: #$status)");
throw new VideoConversionException("Couldn't run ffmpeg. (Error code: #$status)");
}
$this->converted = $tmpVideo;
return $tmpVideo;
}
public function shredConverted() {
// delete video.
@unlink("videos/{$this->$converted}");
}
public static function clear() {
// We can't really shred videos right away as they might be still uploading.
// Therefore, every time this library is used, we will just delete videos older
// than, say, an hour.
$files = scandir('videos');
$curtime = time();
foreach ($files as $file) {
if ($file == '.gitignore' || $file == '.' || $file == '..') {
continue;
}
$mtime = filemtime("videos/$file");
$diff = $curtime - $mtime;
$overAnHour = $diff > (60 * 60);
if ($overAnHour) {
@unlink("videos/$file");
}
}
}
} -
FFmpeg -segment with a lot of time codes
24 février 2020, par GrenightI’m making program that splits videos for running parallel encodes.
My problem is that with putting all segments into command like i can hit a limit of maximum characters in windows console. Approximately 600, while 1-2 hour movie can easily be 1000-2000 scenes.
Is there a way to use .csv file for segment so i don’t need to put all time codes to command line ? Or is there another ways ?
Here is example of command line that is used in program :
timecodes is where all time codes passed.cmd = f'{self.FFMPEG} -i {video} -map_metadata 0 -an -f segment -segment_times {timecodes} -c copy -avoid_negative_ts 1 {self.temp_dir / "split" / "%04d.mkv"}
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