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Géodiversité
9 septembre 2011, par ,
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USGS Real-time Earthquakes
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SWFUpload Process
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La conservation du net art au musée. Les stratégies à l’œuvre
26 mai 2011
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Podcasting Legal guide
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Sur d’autres sites (4448)
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ffmpeg status & quality / cuda (CPU/GPU)
18 juin 2024, par coccoffmpeg am I doing it right ?


So much time has passed since I use ffmpeg to convert clips on my home web server, now that mp4 (h264 & aac) is the current overall standard (works on every console, smartphone, smartTV, pc) I decided to convert my old clips from various digital cameras to to this new container/codecs.


- 

- less space & the same quality.
- compatibility
- support for tags (subler for mac)








after some research I opted for ffmpeg because of various reasons


- 

- commandline (I made my simple web interface with default settings which I execute with php's exec)
- the quality/size amount






I read that many expensive video conversion software programs are not able to handle low bitrate videos properly. I also tested some of them and personally I could not find the proper export settings or I was not impressed by the results... some had fixed default export settings, most had a lower video quality at the same filesize. ffmpeg allows me to set the -crf (18-24 usually) and -preset (veryslow, fast..) which allows me to reduce the filesize drastically maintaining the same visible quality.


Said that I'm using the preset at very slow (there is also placebo but the final video file is only 1% smaller in size).


And here is the command I use


ffmpeg
-y //overwrite the file if it exists

-i INPUTFILE // replace with the input file

-metadata title=THETITLE // set a nice title, visible on modern devices
-metadata date=THEDATE // set a nice title, visible on modern devices

-c:v libx264 // use the h264 codec
 -crf 21 // try different numbers between 18-26
 -preset veryslow // placebo,slow,fast,ultrafast==big file 
 -tune film // tune it a little
 -pix_fmt yuv420p // preferred on most modern devices
 -profile:v main // preferred on most modern devices
 -level 3.1 // preferred on most modern devices 
 -refs 4 // preferred on most modern devices

-c:a libfdk_aac // use aac
 -metadata:s:a language=eng // set a language, visible on modern devices 
 -b:a 128k // audio bitrate 128k is like mp3 192k
 -ar 48000 // 44100 ... whatever
 -ac 2 // audiochannels
 -movflags +faststart //move the metadata in the front of the video so it loads faster

OUTPUTFILE



Some camcorder clips with m2ts already have the avc/h264 compatible codec so I just copy the stream.

some have the ac3/Dolby surround audio. I convert the audio but keep the ac3 as second audio track mapping the ffmpeg streams. this allows me to watch the mp4 on browsers and mobile devices but I'm able to keep the surround sound to playback on some tv's, advanced media players or devices like apple tv.

Not that I'm not happy with the speed (using quad core's) but I recently read again about cuda opencl and there is also the simple fact that I'm not using other converters than ffmpeg since a lot of time.


Is ffmpeg (with the setting I use) a good converter to keep the same video quality than the source reducing the space occupied by and average of 30-40% ?


Is GPU conversion really that bad (cuda .. testing a gtx970) ?
it would be nice to add some more speed to the conversions by using both the gpu and the cpu..but for my understanding they cannot work together ??? and using only GPU is a drastically quality loss...cpu is more precise, GPU is faster in calculation are too imprecise from what I read.. so expensive software programs use cuda only for preview purpose... right ?


Is ffmpeg or another software compatible with CPU+GPU encoding ?
I really don't remember where, but I read that the ffmpeg is not a good videoconverter.


I'm really happy with the size/quality, I gained an average of 30% in space with no visible quality loss. With some extra parameters i can adjust some really old analog videos that are deinterlaced in a really bad way.




maybe I could gain more size/quality with another software ???




note : I like ffmpeg.it's free and it has commandline so I can create my own interface with php html & js and use it on various machines without the need to install it in every device I use. I upload the idevice clips directly to the ffmpeg server.


EDIT :


@talonmies ...cuda tag removed :


http://www.nvidia.com/object/cuda_home_new.html




CUDA® is a parallel computing platform and programming model invented
by NVIDIA. It enables dramatic increases in computing performance by
harnessing the power of the graphics processing unit (GPU). With
millions of CUDA-enabled GPUs sold to date, software developers,
scientists and researchers are finding broad-ranging uses for GPU
computing with CUDA. Here are a few examples : - See more at :
http://www.nvidia.com/object/cuda_home_new.html#sthash.dEYaqae7.dpuf




isn't cuda the programming model that a theoretical ffmpeg library should support to handle GPU encoding on nvidia cards like the gtx 970 ?? like the badaboom software http://www.geforce.com/games-applications/pc-applications/badaboom-media-converter.


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How to Measure Marketing Effectiveness : A Step-by-Step Guide
22 février 2024, par Erin -
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.