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Carte de Schillerkiez
13 mai 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Texte
Autres articles (36)
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Keeping control of your media in your hands
13 avril 2011, parThe vocabulary used on this site and around MediaSPIP in general, aims to avoid reference to Web 2.0 and the companies that profit from media-sharing.
While using MediaSPIP, you are invited to avoid using words like "Brand", "Cloud" and "Market".
MediaSPIP is designed to facilitate the sharing of creative media online, while allowing authors to retain complete control of their work.
MediaSPIP aims to be accessible to as many people as possible and development is based on expanding the (...) -
HTML5 audio and video support
13 avril 2011, parMediaSPIP uses HTML5 video and audio tags to play multimedia files, taking advantage of the latest W3C innovations supported by modern browsers.
The MediaSPIP player used has been created specifically for MediaSPIP and can be easily adapted to fit in with a specific theme.
For older browsers the Flowplayer flash fallback is used.
MediaSPIP allows for media playback on major mobile platforms with the above (...) -
De l’upload à la vidéo finale [version standalone]
31 janvier 2010, parLe chemin d’un document audio ou vidéo dans SPIPMotion est divisé en trois étapes distinctes.
Upload et récupération d’informations de la vidéo source
Dans un premier temps, il est nécessaire de créer un article SPIP et de lui joindre le document vidéo "source".
Au moment où ce document est joint à l’article, deux actions supplémentaires au comportement normal sont exécutées : La récupération des informations techniques des flux audio et video du fichier ; La génération d’une vignette : extraction d’une (...)
Sur d’autres sites (4606)
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Custom Segmentation Guide : How it Works & Segments to Test
13 novembre 2023, par Erin — Analytics Tips, UncategorizedStruggling to get the insights you’re looking for with premade reports and audience segments in your analytics ?
Custom segmentation can help you better understand your customers, app users or website visitors, but only if you know what you’re doing.
You can derive false insights with the wrong segments, leading your marketing campaigns or product development in the wrong direction.
In this article, we’ll break down what custom segmentation is, useful custom segments to consider, how new privacy laws affect segmentation options and how to create these segments in an analytics platform.
What is custom segmentation ?
Custom segmentation is when you divide your audience (customers, users, website visitors) into bespoke segments of your own design, not premade segments designed by the analytics or marketing platform provider.
To do this, you single out “custom segment input” — data points you will use to pinpoint certain users. For example, it could be everyone who has visited a certain page on your site.
Segmentation isn’t just useful for targeting marketing campaigns and also for analysing your customer data. Creating segments is a great way to dive deeper into your data beyond surface-level insights.
You can explore how various factors impact engagement, conversion rates, and customer lifetime value. These insights can help guide your higher-level strategy, not just campaigns.
How custom segments can help your business
As the global business world clamours to become more “data-driven,” even smaller companies collect all sorts of data on visitors, users, and customers.
However, inexperienced organisations often become “data hoarders” without meaningful insights. They have in-house servers full of data or gigabytes stored by Google Analytics and other third-party providers.
One way to leverage this data is with standard customer segmentation models. This can help you get insights into your most valuable customer groups and other standard segments.
Custom segments, in turn, can help you dive deeper. They help you unlock insights into the “why” of certain behaviours. They can help you segment customers and your audience to figure out :
- Why and how someone became a loyal customer
- How high-order-value customers interact with your site before purchases
- Which behaviours indicate audience members are likely to convert
- Which traffic sources drive the most valuable customers
This specific insight’s power led Gartner to predict that 70% of companies will shift focus from “big data” to “small and wide” by 2025. The lateral detail is what helps inform your marketing strategy.
You don’t need the same volume of data if you’re analysing and segmenting it effectively.
Custom segment inputs : 6 data points you can use to create valuable custom segments
To help you get started, here are six useful data points you can use as a basis to create segments — AKA customer segment inputs :
Visits to certain pages
A basic data point that’s great for custom segments is visits to certain pages. Create segments for popular middle-of-funnel pages and compare their engagement and conversion rates.
For example, if a user visits a case study page, you can compare their likelihood to convert vs. other visitors.
This is a type of behavioural segmentation, but it is the easiest custom segment to set up in terms of analysis and marketing efforts.
Visitors who perform certain actions
The other important type of behavioural segment is visitors or users who take certain actions. Think of things like downloading a file, clicking a link, playing a video or scrolling a certain amount.
For instance, you can create a segment of all visitors who have downloaded a white paper. This can help you explore, for example, what drives someone to download a white paper. You can look at the typical user journey and make it easier for them to access the white paper — especially if your sales reps indicate many inbound leads mention it as a key driver of their interest.
User devices
Device-based segmentation lets you compare engagement and conversion rates on mobile, desktop and tablets. You can also get insights into their usage patterns and potential issues with certain mobile elements.
This is one aspect of technographic segmentation, where you segment based on users’ hardware or software. You can also create segments based on browser software or even specific versions.
Loyal or high-value customers
The best way to get more loyal or high-value customers is to explore their journey in more detail. These types of segments can help you better understand your ideal customers and how they act on your site.
You can then use this insight to alter your campaigns or how you communicate with your target audience.
For example, you might notice that high-value customers tend to come from a certain source. You can then focus your marketing efforts on this source to reach more of your ideal customers.
Visitor or customer source
You need to track the results if you’re investing in marketing (like an influencer campaign or a sponsored post) outside platforms with their own analytics.
Before you can create a reliable segment, you need to make sure that you use campaign tracking parameters to reliably track the source. You can use our free campaign tracking URL builder for that.
Demographic segments — location (country, state) and more
Web analytics tools, such as Matomo, use visitors’ IP addresses to pinpoint their location more accurately by cross-referencing with a database of known and estimated IP locations. In addition, these tools can detect a visitor’s location through the language settings in their browser.
This can help create segments based on location or language. By exploring these trends, you can identify patterns in behaviour, tailor your content to specific audiences, and adapt your overall strategy to better meet the preferences and needs of your diverse visitor base.
How new privacy laws affect segmentation options
Over the past few years, new legislation regarding privacy and customer data has been passed globally. The most notable privacy laws are the GDPR in the EU, the CCPA in California and the VCDPA in Virginia.
For most companies, it can save a lot of work and future headaches to choose a GDPR-compliant web analytics solution not only streamlines operations, saving considerable effort and preventing future headaches, but also ensures peace of mind by guaranteeing the collection of compliant and accurate data. This approach allows companies to maintain compliance with privacy regulations while remaining firmly committed to a data-driven strategy.
Create your very own custom segments in Matomo (while ensuring compliance and data accuracy)
Crafting precise marketing messages and optimising ROI is crucial, but it becomes challenging without the right tools, especially when it comes to maintaining accurate data.
That’s where Matomo comes in. Our privacy-friendly web analytics platform is GDPR-compliant and ensures accurate data, empowering you to effortlessly create and analyse precise custom segments.
If you want to improve your marketing campaigns while remaining GDPR-compliant, start your 21-day free trial of Matomo. No credit card required.
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VLC Player shows broken HLS stream with 4k HDR10 mkv
8 avril 2023, par goodkid38I am trying to convert a 4k mkv to an HLS stream but I am not having any luck. I have tried a few ffmpeg commands to try and fix the issue but none have worked. Here are the commands I have tried.


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- Basic copy command :




ffmpeg -i "video.mkv" -c copy -f hls "plexTemp/out.m3u8"

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- Command used to see if it was an HDR color issue :




ffmpeg -i "video.mkv" -c copy -pix_fmt yuv420p10le -f hls "plexTemp/out.m3u8"
3. Command used to revert to 8 bit color :

ffmpeg -i "video.mkv" -c copy -pix_fmt yuv420p -f hls "plexTemp/out.m3u8"

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- I tried removing extra streams and just focusing on audio and video :




ffmpeg -i "out.mkv" -map 0:v:0 -map 0:a:1 -c copy -pix_fmt yuv420p10le -f hls "plexTemp/out.m3u8"

I also saw these warnings when running each command.
Stream HEVC is not hvc1, you should use tag:v hvc1 to set it.
And this

[matroska,webm @ 000001d7921803c0] Stream #12: not enough frames to estimate rate; consider increasing probesize
[matroska,webm @ 000001d7921803c0] Could not find codec parameters for stream 6 (Subtitle: hdmv_pgs_subtitle (pgssub)): unspecified size
Consider increasing the value for the 'analyzeduration' (0) and 'probesize' (5000000) options
[matroska,webm @ 000001d7921803c0] Could not find codec parameters for stream 7 (Subtitle: hdmv_pgs_subtitle (pgssub)): unspecified size
Consider increasing the value for the 'analyzeduration' (0) and 'probesize' (5000000) options
[matroska,webm @ 000001d7921803c0] Could not find codec parameters for stream 8 (Subtitle: hdmv_pgs_subtitle (pgssub)): unspecified size
Consider increasing the value for the 'analyzeduration' (0) and 'probesize' (5000000) options
[matroska,webm @ 000001d7921803c0] Could not find codec parameters for stream 9 (Subtitle: hdmv_pgs_subtitle (pgssub)): unspecified size
Consider increasing the value for the 'analyzeduration' (0) and 'probesize' (5000000) options
[matroska,webm @ 000001d7921803c0] Could not find codec parameters for stream 10 (Subtitle: hdmv_pgs_subtitle (pgssub)): unspecified size
Consider increasing the value for the 'analyzeduration' (0) and 'probesize' (5000000) options
[matroska,webm @ 000001d7921803c0] Could not find codec parameters for stream 11 (Subtitle: hdmv_pgs_subtitle (pgssub)): unspecified size
Consider increasing the value for the 'analyzeduration' (0) and 'probesize' (5000000) options


So I tried increasing the
analyzedurationandprobesizeand adding the tag like so :
ffmpeg -analyzeduration 10000000 -probesize 10000000 -i "out.mkv" -c copy -tag:v hvc1 -f hls "plexTemp/out.m3u8"

To no avail. Here is what the output looks like on VLC. It's mostly black with a few lines of color that randomly change.


On my TV I see this :




One thing I see that stands out in ffmpegs output is this :


[hls @ 00000207239a9ec0] Opening 'plexTemp/out0.ts' for writing7 bitrate= -0.0kbits/s speed=N/A
[hls @ 00000207239a9ec0] Opening 'plexTemp/out.m3u8.tmp' for writing


Here is the audio and video info on the mkv :


General
Unique ID : 92280908398971492516286250889389584022 (0x456CA80EF29B1357B572719D6EC4AE96)
Complete name : I:\video.mkv
Format : Matroska
Format version : Version 2
File size : 49.4 GiB
Duration : 1 h 39 min
Overall bit rate mode : Variable
Overall bit rate : 71.2 Mb/s
Frame rate : 23.976 FPS
Movie name : video
Encoded date : 2023-04-06 22:39:53 UTC
Writing application : MakeMKV v1.16.7 win(x64-release)
Writing library : libmakemkv v1.16.7 (1.3.10/1.5.2) win(x64-release)
Cover : Yes
Attachments : cover.jpg

Video
ID : 1
ID in the original source medium : 4113 (0x1011)
Format : HEVC
Format/Info : High Efficiency Video Coding
Format profile : Main 10@L5.1@High
HDR format : SMPTE ST 2086, HDR10 compatible
Codec ID : V_MPEGH/ISO/HEVC
Duration : 1 h 39 min
Bit rate : 63.6 Mb/s
Width : 3 840 pixels
Height : 2 160 pixels
Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 23.976 (24000/1001) FPS
Color space : YUV
Chroma subsampling : 4:2:0 (Type 2)
Bit depth : 10 bits
Bits/(Pixel*Frame) : 0.320
Stream size : 44.1 GiB (89%)
Writing library : ATEME Titan File 3.9.6 (4.9.6.2) 
Language : English
Default : No
Forced : No
Color range : Limited
Color primaries : BT.2020
Transfer characteristics : PQ
Matrix coefficients : BT.2020 non-constant
Mastering display color primaries : Display P3
Mastering display luminance : min: 0.0050 cd/m2, max: 1000 cd/m2
Maximum Content Light Level : 1000 cd/m2
Maximum Frame-Average Light Level : 140 cd/m2
Original source medium : Blu-ray

Audio #1
ID : 2
ID in the original source medium : 4352 (0x1100)
Format : DTS XLL X
Format/Info : Digital Theater Systems
Commercial name : DTS:X
Codec ID : A_DTS
Duration : 1 h 39 min
Bit rate mode : Variable
Bit rate : 4 174 kb/s
Channel(s) : 8 channels
Channel layout : C L R LFE Lb Rb Lss Rss
Sampling rate : 48.0 kHz
Frame rate : 93.750 FPS (512 SPF)
Bit depth : 24 bits
Stream size : 2.89 GiB (6%)
Title : Surround 7.1
Language : English
Default : Yes
Forced : No
Original source medium : Blu-ray
Here is information on the HLS output:
General
Complete name : I:\out.m3u8
Format : HLS
Format profile : Media
File size : 67.4 MiB
Duration : 8 s 138 ms
Overall bit rate mode : Variable
Overall bit rate : 69.4 Mb/s
Frame rate : 23.976 FPS


And my
Here is the output of my HLS stream :


Video
ID : 256 (0x100)
Menu ID : 1 (0x1)
Format : HEVC
Format/Info : High Efficiency Video Coding
Format profile : Main 10@L5.1@High
HDR format : SMPTE ST 2086, HDR10 compatible
Muxing mode : MPEG-TS
Codec ID : 36
Duration : 8 s 49 ms
Width : 3 840 pixels
Height : 2 160 pixels
Display aspect ratio : 16:9
Frame rate : 23.976 (24000/1001) FPS
Color space : YUV
Chroma subsampling : 4:2:0 (Type 2)
Bit depth : 10 bits
Writing library : ATEME Titan File 3.9.6 (4.9.6.2) 
Color range : Limited
Color primaries : BT.2020
Transfer characteristics : PQ
Matrix coefficients : BT.2020 non-constant
Mastering display color primaries : Display P3
Mastering display luminance : min: 0.0050 cd/m2, max: 1000 cd/m2
Maximum Content Light Level : 1000 cd/m2
Maximum Frame-Average Light Level : 140 cd/m2
Source : out92.ts

Audio
ID : 257 (0x101)
Menu ID : 1 (0x1)
Format : DTS XLL X
Format/Info : Digital Theater Systems
Commercial name : DTS:X
Muxing mode : MPEG-TS
Codec ID : 130
Duration : 8 s 138 ms
Bit rate mode : Variable
Channel(s) : 8 channels
Channel layout : C L R LFE Lb Rb Lss Rss
Sampling rate : 48.0 kHz
Frame rate : 93.750 FPS (512 SPF)
Bit depth : 24 bits
Delay relative to video : -125 ms
Language : English
Source : out92.ts


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How to transcode avi or mov file to mpeg-ts with specific results ?
15 juillet 2015, par Andy DoCan someone please help me convert a mov or mp4 file to mpeg-ts to look like the output below ?
So far I have this :
ffmpeg -i test_5.mp4 -c copy -bsf h264_mp4toannexb -b:a test_5.ts
and want to replicate this :
Format : MPEG-TS
File size : 1.48 GiB
Duration : 11mn 45s
Overall bit rate mode : Constant
Overall bit rate : 18.0 Mbps
Video
ID : 481 (0x1E1)
Menu ID : 1 (0x1)
Format : MPEG Video
Format version : Version 2
Format profile : Main@Main
Format settings, BVOP : Yes
Format settings, Matrix : Custom
Format settings, GOP : M=3, N=15
Format settings, picture structure : Frame
Codec ID : 2
Duration : 11mn 45s
Bit rate : 16.9 Mbps
Maximum bit rate : 15.0 Mbps
Width : 720 pixels
Height : 480 pixels
Display aspect ratio : 4:3
Frame rate : 29.970 fps
Standard : NTSC
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Interlaced
Scan order : Top Field First
Compression mode : Lossy
Bits/(Pixel*Frame) : 1.633
Time code of first frame : 00:00:00;00
Time code source : Group of pictures header
Stream size : 1.39 GiB (94%)
Audio
ID : 482 (0x1E2)
Menu ID : 1 (0x1)
Format : AC-3
Format/Info : Audio Coding 3
Mode extension : CM (complete main)
Format settings, Endianness : Big
Codec ID : 129
Duration : 11mn 45s
Bit rate mode : Constant
Bit rate : 192 Kbps
Channel(s) : 2 channels
Channel positions : Front: L R
Sampling rate : 48.0 KHz
Bit depth : 16 bits
Compression mode : Lossy
Stream size : 16.2 MiB (1%)
Language : EnglishThanks if you can !
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