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Personnaliser en ajoutant son logo, sa bannière ou son image de fond
5 septembre 2013, parCertains thèmes prennent en compte trois éléments de personnalisation : l’ajout d’un logo ; l’ajout d’une bannière l’ajout d’une image de fond ;
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Support de tous types de médias
10 avril 2011Contrairement à beaucoup de logiciels et autres plate-formes modernes de partage de documents, MediaSPIP a l’ambition de gérer un maximum de formats de documents différents qu’ils soient de type : images (png, gif, jpg, bmp et autres...) ; audio (MP3, Ogg, Wav et autres...) ; vidéo (Avi, MP4, Ogv, mpg, mov, wmv et autres...) ; contenu textuel, code ou autres (open office, microsoft office (tableur, présentation), web (html, css), LaTeX, Google Earth) (...)
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MediaSPIP v0.2
21 juin 2013, parMediaSPIP 0.2 est la première version de MediaSPIP stable.
Sa date de sortie officielle est le 21 juin 2013 et est annoncée ici.
Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
Comme pour la version précédente, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...)
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What is last click attribution ? A beginner’s guide
10 mars 2024, par ErinImagine you just finished a successful marketing campaign. You reached new highs in campaign revenue. Your conversion was higher than ever. And you did it without dramatically increasing your marketing budget.
So, you start planning your next campaign with a bigger budget.
But what do you do ? Where do you invest the extra money ?
You used several marketing tactics and channels in the last campaign. To solve this problem, you need to track marketing attribution — where you give conversion credit to a channel (or channels) that acted as a touchpoint along the buyer’s journey.
One of the most popular attribution models is last click attribution.
In this article, we’ll break down what last click attribution is, its advantages and disadvantages, and examples of how you can use it to gain insights into the marketing strategies driving your growth.
What is last click attribution ?
Last click, or last interaction, is a marketing attribution model that seeks to give all credit for a conversion to the final touchpoint in the buyer’s journey. It assumes the customer’s last interaction with your brand (before the sale) was the most influential marketing channel for the conversion decision.
Example of last click attribution
Let’s say a woman named Jill stumbles across a fitness equipment website through an Instagram ad. She explores the website, looking at a few fitness bands and equipment, but she doesn’t buy anything.
A few days later, Jill was doing a workout but wished she had equipment to use.
So, she Googles the name of the company she checked out earlier to take a look at the fitness bands it offers. She’s not sure which one to get, but she signs up for a 10% discount by entering her email.
A few days later, she sees an ad on Facebook and visits the site but exits before purchasing.
The next day, Jill gets an email from the store stating that her discount code is expiring. She clicks on the link, plugs in the discount code, and buys a fitness band for $49.99.
Under the last click attribution model, the fitness company would attribute full credit for the sale to their email campaign while ignoring all other touchpoints (the Instagram ad, Jill’s organic Google search, and the Facebook ad).
3 advantages of last click attribution
Last click attribution is one of the most popular methods to credit a conversion. Here are the primary advantages of using it to measure your marketing efforts :
1. Easiest attribution method for beginners
If something’s too complicated, many people simply won’t touch it.
So, when you start diving into attribution, you might want to keep it simple. Fortunately, last click attribution is a wonderful method for beginner marketers to try out. And when you first begin tracking your marketing efforts, it’s one of the easiest methods to grasp.
2. It can have more impact on revenue
Attribution and conversions go hand in hand. But conversions aren’t just about making a sale or generating more revenue. We often need to track the conversions that take place before a sale.
This could include gaining a new follower on Instagram or capturing an email subscriber with a new lead magnet.
If you’re trying to attribute why someone converted into a follower or lead, you may want to ditch last click for something else.
But when you’re looking strictly at revenue-generating conversions, last click can be one of the most impactful methods for giving credit to a conversion.
3. It helps you understand bottom-of-funnel conversions
If SEO is your focus, chances are pretty good that you aren’t looking for a direct sale right out of the gate. You likely want to build your authority, inform and educate your audience, and then maybe turn them into a lead.
However, when your primary focus isn’t generating traffic or leads but turning your leads into customers, then you’re focused on the bottom of your sales funnel.
Last click can be helpful to use in bottom-of-funnel (BoFu) conversions since it often means following a paid ad or sales email that allows you to convert your warm audience member.
If you’re strictly after revenue, you may not need to pay as much attention to the person who reads your latest blog post. After they read the article, they may have seen a social media post. And then, maybe they saw your email with a discount to buy now — which converted them into a paying customer.
3 challenges of last click attribution
Last click attribution is a simple way to start analysing the channels that impact your conversions. But it’s not perfect.
Here are a few challenges of last click attribution you should keep in mind :
1. It ignores all other touchpoints
Last click attribution is a single-touch attribution model. This type of model declares that a single channel gets 100% of the credit for a sale.
But this can overlook impactful contributions from other channels.
Multi-touch attribution seeks to give credit to multiple channels for each conversion. This is a more holistic approach.
2. It fragments the customer journey
Most customers need a few touchpoints before they’ll make a purchase.
Maybe it’s reading a blog post via Google, checking out a social media post on Instagram, and receiving a nurture email.
If you look only at the last touchpoint before a sale, then you ignore the impact of the other channels. This leads to a fragmented customer journey.
Imagine this : You tell your marketing leaders that Facebook ads are responsible for your success because they were the last touch for 65% of conversions. So, you pour your entire budget into Facebook ads.
What happens ?
Your sales drop by 60% in one month. This happens because you ignored the traffic you were generating from SEO blog posts that led to that conversion — the nurturing that took place in email marketing.
3. Say goodbye to brand awareness marketing
Without a brand, you can’t have a sustainable business.
Some marketing activities, like brand awareness campaigns, are meant to fuel brand awareness to build a business that lasts for years.
But if you’re going to use last click attribution to measure the effectiveness of your marketing efforts, then you’re going to diminish the impact of brand awareness.
Your brand, as a whole, has the ability to generate multiples of your current revenue by simply reaching more people and creating unique brand experiences with new audiences.
Last click attribution can’t easily measure brand awareness activities, which means their importance is often ignored.
Last click attribution vs. other attribution models
Last click attribution is just one type of attribution model. Here are five other common marketing attribution models you might want to consider :
First interaction
We’ve already touched on last click interaction as a marketing attribution model. But one of the most common models does the opposite.
First interaction, or first touch, gives full credit to the first channel that brought a lead in.
First interaction is best used for top-of-funnel (ToFU) conversions, like user acquisition.
Last non-direct interaction
A similar model to last click attribution is one called last non-direct interaction. But one major difference is that it excludes all direct traffic from the calculation. Instead, it assigns full conversion credit to the channel that precedes it.
For instance, let’s say you see someone comes to your website via a Facebook ad but doesn’t purchase. Then one week later, they go directly to your website through a bookmark they saved and they complete a purchase. Instead of giving attribution to the direct traffic touchpoint (entering your site through a saved bookmark), you attribute the conversion to the previous channel.
In this case, the Facebook ad gets the credit.
Last non-direct attribution is best used for BoFu conversions.
Linear
Another common attribution model is called linear attribution. Here, you split the credit for a conversion equally across every single touchpoint.
This means if someone clicks on your blog post in Google, TikTok post, email, and a Facebook ad, then the credit for the conversion is equally split between each of these channels.
This model is helpful for looking at both BoFu and ToFu activities.
Time decay
Time decay is an attribution model that more accurately credits conversions across different touchpoints. This means the closer a channel is to a conversion, the more weight is given to it.
The time decay model assumes that the closer a channel is to a conversion, the greater that channel’s impact is on a sale.
Position based
Position-based, also called U-shaped attribution, is an interesting model that gives multiple channels credit for a conversion.
But it doesn’t give equal credit to channels or weighted credit to the channels closest to the conversion.
Instead, it gives the most credit to the first and last interactions.
In other words, it emphasises the conversion of someone to a lead and, eventually, a customer.
It gives the first and last interaction 40% of the credit for a conversion and then splits the remaining 20% across the other touchpoints in the customer journey.
If you’re ever unsure about which attribution model to use, with Matomo, you can compare them to determine the one that best aligns with your goals and accurately reflects conversion paths.
In the above screenshot from Matomo, you can see how last-click compares to first-click and linear models to understand their respective impacts on conversions.
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
Use Matomo to track last click attribution
If you want to improve your marketing, you need to start tracking your efforts. Without marketing attribution, you will never be certain which marketing activities are pushing your business forward.
Last click attribution is one of the most popular ways to get started with attribution since it, very simply, gives full credit to the last interaction for a conversion.
If you want to start tracking last click attribution (or any other previously mentioned attribution model), sign up for Matomo’s 21-day free trial today. No credit card required.
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ffmpeg converting .vob to .mp4 --- colors are washed out
28 mai 2021, par BlattlaI am very new to ffmpeg. Currently I am trying to convert old family movies from vob to mp4.
After getting some help I used this command :


ffmpeg -i 1998.vob -codec:v libx264 -crf 17 -pix_fmt yuv420p -codec:a aac -movflags +faststart 1998.mp4


Two things that still bug me. The output is almost 20% larger than the input and the colors are washed out. Although the movies are old and of low quality (grainy, rather flat colors, ...) the colors in the output movie are less intense than in the original one. Larger file size would be ok for me but do you have any idea which part of my command might cause the color issue ?


ffmpeg version 4.4 Copyright (c) 2000-2021 the FFmpeg developers
 built with Apple clang version 12.0.0 (clang-1200.0.32.29)
 configuration: --prefix=/usr/local/Cellar/ffmpeg/4.4_1 --enable-shared --enable-pthreads --enable-version3 --enable-avresample --cc=clang --host-cflags= --host-ldflags= --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libbluray --enable-libdav1d --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox
 libavutil 56. 70.100 / 56. 70.100
 libavcodec 58.134.100 / 58.134.100
 libavformat 58. 76.100 / 58. 76.100
 libavdevice 58. 13.100 / 58. 13.100
 libavfilter 7.110.100 / 7.110.100
 libavresample 4. 0. 0 / 4. 0. 0
 libswscale 5. 9.100 / 5. 9.100
 libswresample 3. 9.100 / 3. 9.100
 libpostproc 55. 9.100 / 55. 9.100
Input #0, mpeg, from '1995.vob':
 Duration: 00:00:14.64, start: 0.232178, bitrate: 1676252 kb/s
 Stream #0:0[0x1bf]: Data: dvd_nav_packet
 Stream #0:1[0x1e0]: Video: mpeg2video (Main), yuv420p(tv, bt470bg, top first), 704x576 [SAR 12:11 DAR 4:3], 25 fps, 25 tbr, 90k tbn, 50 tbc
 Side data:
 cpb: bitrate max/min/avg: 9548800/0/0 buffer size: 1835008 vbv_delay: N/A
 Stream #0:2[0x80]: Audio: ac3, 48000 Hz, stereo, fltp, 256 kb/s
File '999.mp4' already exists. Overwrite? [y/N] y
Stream mapping:
 Stream #0:1 -> #0:0 (mpeg2video (native) -> h264 (libx264))
 Stream #0:2 -> #0:1 (ac3 (native) -> aac (native))
Press [q] to stop, [?] for help
[libx264 @ 0x7ff666814400] using SAR=12/11
[libx264 @ 0x7ff666814400] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
[libx264 @ 0x7ff666814400] profile High, level 3.0, 4:2:0, 8-bit
[libx264 @ 0x7ff666814400] 264 - core 161 r3049 55d517b - H.264/MPEG-4 AVC codec - Copyleft 2003-2021 - http://www.videolan.org/x264.html - options: 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=6 lookahead_threads=1 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=crf mbtree=1 crf=17.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
Output #0, mp4, to '999.mp4':
 Metadata:
 encoder : Lavf58.76.100
 Stream #0:0: Video: h264 (avc1 / 0x31637661), yuv420p(tv, bt470bg, top coded first (swapped)), 704x576 [SAR 12:11 DAR 4:3], q=2-31, 25 fps, 12800 tbn
 Metadata:
 encoder : Lavc58.134.100 libx264
 Side data:
 cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
 Stream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, stereo, fltp, 128 kb/s
 Metadata:
 encoder : Lavc58.134.100 aac
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q=22.0 size= 51456kB time=00:00:34.88 bitrate=12085.1kbitsframe= 898 fps= 32 q=22.0 size= 52480kB time=00:00:35.54 bitrate=12096.2kbitsframe= 913 fps= 32 q=22.0 size= 53504kB time=00:00:36.18 bitrate=12114.1kbitsframe= 923 fps= 32 q=22.0 size= 54016kB time=00:00:36.54 bitrate=12108.7kbitsframe= 940 fps= 32 q=22.0 size= 55040kB time=00:00:37.20 bitrate=12118.9kbitsframe= 958 fps= 32 q=22.0 size= 55808kB time=00:00:37.90 bitrate=12059.8kbitsframe= 975 fps= 32 q=22.0 size= 56832kB time=00:00:38.61 bitrate=12057.2kbitsframe= 994 fps= 32 q=22.0 size= 58112kB time=00:00:39.38 bitrate=12088.3kbitsframe= 1012 fps= 32 q=22.0 size= 59136kB time=00:00:40.02 bitrate=12104.6kbitsframe= 1026 fps= 32 q=22.0 size= 59904kB time=00:00:40.64 bitrate=12075.1kbitsframe= 1038 fps= 31 q=22.0 size= 60928kB time=00:00:41.21 bitrate=12109.9kbitsframe= 1046 fps= 31 q=22.0 size= 61440kB time=00:00:41.53 bitrate=12117.6kbitsframe= 1057 fps= 31 q=22.0 size= 61952kB time=00:00:41.87 bitrate=12119.0kbitsframe= 1071 fps= 31 q=22.0 size= 62976kB time=00:00:42.45 bitrate=12152.2kbitsframe= 1083 fps= 31 q=22.0 size= 63488kB time=00:00:42.90 bitrate=12123.0kbitsframe= 1096 fps= 31 q=22.0 size= 64256kB time=00:00:43.41 bitrate=12125.0kbitsframe= 1110 fps= 31 q=22.0 size= 65280kB time=00:00:44.09 bitrate=12127.5kbitsframe= 1126 fps= 31 q=22.0 size= 66048kB time=00:00:44.62 bitrate=12123.5kbitsframe= 1131 fps= 30 q=19.0 size= 66560kB time=00:00:44.86 bitrate=12153.6kbitsframe= 1147 fps= 30 q=22.0 size= 67584kB time=00:00:45.46 bitrate=12178.4kbitsframe= 1155 fps= 30 q=22.0 size= 68096kB time=00:00:45.88 bitrate=12156.6kbitsframe= 1167 fps= 30 q=22.0 size= 68864kB time=00:00:46.33 bitrate=12174.9kbitsframe= 1175 fps= 30 q=22.0 size= 69376kB time=00:00:46.59 bitrate=12198.0kbitsframe= 1184 fps= 30 q=22.0 size= 70144kB time=00:00:46.93 bitrate=12243.3kbitsframe= 1196 fps= 30 q=22.0 size= 70912kB time=00:00:47.44 bitrate=12243.8kbitsframe= 1211 fps= 30 q=22.0 size= 71936kB time=00:00:48.06 bitrate=12260.7kbitsframe= 1226 fps= 30 q=22.0 size= 73216kB time=00:00:48.66 bitrate=12325.7kbitsframe= 1240 fps= 29 q=22.0 size= 73984kB time=00:00:49.17 bitrate=12325.3kbitsframe= 1256 fps= 29 q=22.0 size= 75264kB time=00:00:49.85 bitrate=12366.9kbitsframe= 1271 fps= 29 q=22.0 size= 76032kB time=00:00:50.43 bitrate=12350.4kbitsframe= 1280 fps= 29 q=22.0 size= 76800kB time=00:00:50.81 bitrate=12380.9kbitsframe= 1288 fps= 29 q=22.0 size= 77312kB time=00:00:51.13 bitrate=12385.4kbitsframe= 1295 fps= 29 q=22.0 size= 77824kB time=00:00:51.39 bitrate=12405.3kbitsframe= 1303 fps= 29 q=22.0 size= 78080kB time=00:00:51.73 bitrate=12364.0kbitsframe= 1316 fps= 29 q=22.0 size= 78848kB time=00:00:52.28 bitrate=12353.2kbitsframe= 1331 fps= 29 q=22.0 size= 79872kB time=00:00:52.86 bitrate=12377.3kbitsframe= 1349 fps= 29 q=22.0 size= 80896kB time=00:00:53.56 bitrate=12371.2kbitsframe= 1364 fps= 29 q=22.0 size= 81920kB time=00:00:54.14 bitrate=12394.5kbitsframe= 1379 fps= 29 q=22.0 size= 82944kB time=00:00:54.74 bitrate=12412.5kbitsframe= 1396 fps= 29 q=22.0 size= 83968kB time=00:00:55.38 bitrate=12420.5kbitsframe= 1417 fps= 29 q=22.0 size= 84992kB time=00:00:56.27 bitrate=12371.9kbitsframe= 1438 fps= 29 q=22.0 size= 86016kB time=00:00:57.10 bitrate=12338.5kbitsframe= 1458 fps= 29 q=22.0 size= 87040kB time=00:00:57.92 bitrate=12310.6kbitsframe= 1478 fps= 29 q=22.0 size= 88064kB time=00:00:58.64 bitrate=12301.4kbitsframe= 1498 fps= 29 q=22.0 size= 89088kB time=00:00:59.47 bitrate=12270.4kbits[mp4 @ 0x7ff666813200] Starting second pass: moving the moov atom to the beginning of the file
frame= 1500 fps= 28 q=-1.0 Lsize= 91853kB time=00:00:59.98 bitrate=12543.2kbits/s speed=1.13x 
video:90866kB audio:941kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.049858%
[libx264 @ 0x7ff666814400] frame I:12 Avg QP:18.57 size:116766
[libx264 @ 0x7ff666814400] frame P:426 Avg QP:20.52 size: 87768
[libx264 @ 0x7ff666814400] frame B:1062 Avg QP:23.56 size: 51088
[libx264 @ 0x7ff666814400] consecutive B-frames: 2.5% 6.4% 9.0% 82.1%
[libx264 @ 0x7ff666814400] mb I I16..4: 1.0% 87.7% 11.3%
[libx264 @ 0x7ff666814400] mb P I16..4: 0.5% 23.0% 4.2% P16..4: 25.2% 30.8% 16.1% 0.0% 0.0% skip: 0.1%
[libx264 @ 0x7ff666814400] mb B I16..4: 0.1% 1.3% 0.6% B16..8: 37.5% 21.2% 9.4% direct:28.6% skip: 1.4% L0:31.5% L1:22.8% BI:45.8%
[libx264 @ 0x7ff666814400] 8x8 transform intra:80.8% inter:75.0%
[libx264 @ 0x7ff666814400] coded y,uvDC,uvAC intra: 97.5% 95.0% 63.3% inter: 90.0% 62.4% 12.3%
[libx264 @ 0x7ff666814400] i16 v,h,dc,p: 36% 46% 6% 12%
[libx264 @ 0x7ff666814400] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 14% 16% 25% 5% 6% 7% 7% 8% 12%
[libx264 @ 0x7ff666814400] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 10% 29% 12% 6% 7% 6% 10% 7% 13%
[libx264 @ 0x7ff666814400] i8c dc,h,v,p: 36% 30% 20% 14%
[libx264 @ 0x7ff666814400] Weighted P-Frames: Y:29.3% UV:14.1%
[libx264 @ 0x7ff666814400] ref P L0: 39.8% 15.4% 21.2% 19.9% 3.8%
[libx264 @ 0x7ff666814400] ref B L0: 76.4% 19.1% 4.5%
[libx264 @ 0x7ff666814400] ref B L1: 90.7% 9.3%
[libx264 @ 0x7ff666814400] kb/s:12406.19
[aac @ 0x7ff666815c00] Qavg: 181.322


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Getting small file size from ffmpeg [duplicate]
20 février 2020, par sukachI am not an ffmpeg expert. I am trying to get some movies converted to a smaller DIVX file for a cheap portable DVD player for a family trip. The movies are for my kids so I’m not too concerned about quality.
The DVD player is a 10.1", 1024x600 screen. It says it supports DIVX/MPEG2 files. It took me a lot of experimentation to get the right ffmpeg settings to even get it to work, but I found another answer that provided a very complex set of parameters that ultimately worked.
I have converted about 20 movies with this setting and every one results in a file size of 1.1GB. I have tried different file sizes and crf settings and it is the same every time.
Here is an example. First, the original file :
General
Complete name : Charlotte's Web.m4v
Format : MPEG-4
Format profile : Base Media / Version 2
Codec ID : mp42 (isom/iso2/avc1/mp41)
File size : 4.17 GiB
Duration : 1 h 36 min
Overall bit rate mode : Variable
Overall bit rate : 6 161 kb/s
Movie name : Charlotte's Web
Performer : Julia Roberts, Steve Buscemi, John Cleese, Oprah Winfrey, Cedric the Entertainer, Reba McEntire, Kathy Bates, Robert Redford, Thomas Haden Church, André Benjamin, Dominic Scott Kay, Sam Shepard, Abraham Benrubi, Dakota Fanning, Kevin Anderson, Essie Davis, Siobhan Fallon, Louis Corbett, Robyn Arthur, Julian O'Donnell, Gary Basaraba, Nate Mooney, Nicholas Bell, Beau Bridges, Teague Rook, Julia Zemiro, Denise Kirby, Robert Plazek, Joseph Lotesto, Michael Roland, Don Bridges, Ian Watkin, Joel McCrary, Brian Stepanek, Fred Tatasciore, Bradley White, Maia Kirkpatrick, Jennessa Rose, Briana Hodge, Dale Azzopardi, Geoff Burgess, Ella Scott Lynch, Greg Marian, Stefano Mazzeo, Elizabeth Saunders
Director : Gary Winick
Actor : Julia Roberts / Steve Buscemi / John Cleese / Oprah Winfrey / Cedric the Entertainer / Reba McEntire / Kathy Bates / Robert Redford / Thomas Haden Church / André Benjamin / Dominic Scott Kay / Sam Shepard / Abraham Benrubi / Dakota Fanning / Kevin Anderson / Essie Davis / Siobhan Fallon / Louis Corbett / Robyn Arthur / Julian O'Donnell / Gary Basaraba / Nate Mooney / Nicholas Bell / Beau Bridges / Teague Rook / Julia Zemiro / Denise Kirby / Robert Plazek / Joseph Lotesto / Michael Roland / Don Bridges / Ian Watkin / Joel McCrary / Brian Stepanek / Fred Tatasciore / Bradley White / Maia Kirkpatrick / Jennessa Rose / Briana Hodge / Dale Azzopardi / Geoff Burgess / Ella Scott Lynch / Greg Marian / Stefano Mazzeo / Elizabeth Saunders
Screenplay by : Karey Kirkpatrick / Susannah Grant / Earl Hamner / Jr. / E.B. White
Producer : Julia Pistor / Jordan Kerner / Paul Neesan / Edgar M. Bronfman / Bernard Williams / Tony Winley
Genre : Comedy
ContentType : Short Film
Description : Wilbur the pig is scared of the end of the season, because he knows that come that time, he will end up on the dinner table. He hatches a plan with Charlotte, a spider that lives in his pen, to ensure that this will never happen.
Recorded date : UTC 2006-12-15 11:00:00
Encoded date : UTC 2017-01-23 02:37:54
Tagged date : UTC 2017-01-24 01:19:52
Writing application : HandBrake 1.0.1 2016122900
Cover : Yes
LongDescription : Wilbur the pig is scared of the end of the season, because he knows that come that time, he will end up on the dinner table. He hatches a plan with Charlotte, a spider that lives in his pen, to ensure that this will never happen.
ContentRating : mpaa|G|100|
Video
ID : 1
Format : AVC
Format/Info : Advanced Video Codec
Format profile : High@L4
Format settings : CABAC / 4 Ref Frames
Format settings, CABAC : Yes
Format settings, ReFrames : 4 frames
Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Duration : 1 h 36 min
Bit rate : 5 691 kb/s
Width : 1 920 pixels
Height : 1 080 pixels
Display aspect ratio : 16:9
Frame rate mode : Variable
Frame rate : 23.976 (24000/1001) FPS
Minimum frame rate : 23.974 FPS
Maximum frame rate : 23.981 FPS
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Bits/(Pixel*Frame) : 0.114
Stream size : 3.86 GiB (92%)
Writing library : x264 core 148 r2708 86b7198
Encoding settings : cabac=1 / ref=3 / deblock=1:-1:-1 / analyse=0x3:0x113 / me=hex / subme=7 / psy=1 / psy_rd=1.00:0.15 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=1 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-3 / threads=6 / lookahead_threads=1 / 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=240 / keyint_min=24 / scenecut=40 / intra_refresh=0 / rc_lookahead=40 / rc=crf / mbtree=1 / crf=22.0 / qcomp=0.60 / qpmin=0 / qpmax=69 / qpstep=4 / vbv_maxrate=25000 / vbv_bufsize=31250 / crf_max=0.0 / nal_hrd=none / filler=0 / ip_ratio=1.40 / aq=1:1.00
Encoded date : UTC 2017-01-23 02:37:54
Tagged date : UTC 2017-01-23 02:37:54
Color range : Limited
Color primaries : BT.709
Transfer characteristics : BT.709
Matrix coefficients : BT.709
Menus : 4Here is the first encode settings :
ffmpeg -i "$1" -sn -c:a libmp3lame -ar 48000 -ab 128k -ac 2 -c:v mpeg4 -crf 24 -vtag DIVX -vf scale=1024x600:force_original_aspect_ratio=decrease -mbd rd -flags +mv4+aic -trellis 2 -cmp 2 -subcmp 2 -g 30 -vb 1500k "$2"And the resulting mediainfo :
General
Complete name : Charlotte's Web (2006) - DIVX.avi
Format : AVI
Format/Info : Audio Video Interleave
Format profile : OpenDML
File size : 1.11 GiB
Duration : 1 h 36 min
Overall bit rate : 1 644 kb/s
Movie name : Charlotte's Web
Director : Julia Roberts, Steve Buscemi, John Cleese, Oprah Winfrey, Cedric the Entertainer, Reba McEntire, Kathy Bates, Robert Redford, Thomas Haden Church, André Benjamin, Dominic Scott Kay, Sam Shepard, Abraham Benrubi, Dakota Fanning, Kevin Anderson, Essie Davis, Siobhan Fallon, Louis Corbett, Robyn Arthur, Julian O'Donnell, Gary Basaraba, Nate Mooney, Nicholas Bell, Beau Bridges, Teague Rook, Julia Zemiro, Denise Kirby, Robert Plazek, Joseph Lotesto, Michael Roland, Don Bridges, Ian Watkin, Joel McCrary, Brian Stepanek, Fred Tatasciore, Bradley White, Maia Kirkpatrick, Jennessa Rose, Briana Hodge, Dale Azzopardi, Geoff Burgess, Ella Scott Lynch, Greg Marian, Stefano Mazzeo, Elizabeth Saunders
Genre : Comedy
Recorded date : UTC 2006-12-15 11:00:00
Writing application : Lavf57.56.100
Video
ID : 0
Format : MPEG-4 Visual
Format profile : Simple@L1
Format settings, BVOP : No
Format settings, QPel : No
Format settings, GMC : No warppoints
Format settings, Matrix : Default (H.263)
Codec ID : DIVX
Codec ID/Info : Project Mayo
Codec ID/Hint : DivX 4
Duration : 1 h 36 min
Bit rate : 1 500 kb/s
Width : 1 024 pixels
Height : 576 pixels
Display aspect ratio : 16:9
Frame rate : 23.976 (24000/1001) FPS
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Compression mode : Lossy
Bits/(Pixel*Frame) : 0.106
Stream size : 1.02 GiB (91%)
Writing library : Lavc57.64.100Here was my attempt at a smaller file size (lower crf and smaller scale setting) :
ffmpeg -i "Charlotte's Web.m4v" -sn -c:a libmp3lame -ar 48000 -ab 128k -ac 2 -c:v mpeg4 -crf 30 -vtag DIVX -vf scale=800:480 -mbd rd -flags +mv4+aic -trellis 2 -cmp 2 -subcmp 2 -g 30 -vb 1500k "Charlotte's Web (2006) - DIVX 2.avi"And the resulting mediainfo :
General
Complete name : Charlotte's Web (2006) - DIVX 2.avi
Format : AVI
Format/Info : Audio Video Interleave
Format profile : OpenDML
File size : 1.11 GiB
Duration : 1 h 36 min
Overall bit rate : 1 643 kb/s
Movie name : Charlotte's Web
Director : Julia Roberts, Steve Buscemi, John Cleese, Oprah Winfrey, Cedric the Entertainer, Reba McEntire, Kathy Bates, Robert Redford, Thomas Haden Church, André Benjamin, Dominic Scott Kay, Sam Shepard, Abraham Benrubi, Dakota Fanning, Kevin Anderson, Essie Davis, Siobhan Fallon, Louis Corbett, Robyn Arthur, Julian O'Donnell, Gary Basaraba, Nate Mooney, Nicholas Bell, Beau Bridges, Teague Rook, Julia Zemiro, Denise Kirby, Robert Plazek, Joseph Lotesto, Michael Roland, Don Bridges, Ian Watkin, Joel McCrary, Brian Stepanek, Fred Tatasciore, Bradley White, Maia Kirkpatrick, Jennessa Rose, Briana Hodge, Dale Azzopardi, Geoff Burgess, Ella Scott Lynch, Greg Marian, Stefano Mazzeo, Elizabeth Saunders
Genre : Comedy
Recorded date : UTC 2006-12-15 11:00:00
Writing application : Lavf57.56.100
Video
ID : 0
Format : MPEG-4 Visual
Format profile : Simple@L1
Format settings, BVOP : No
Format settings, QPel : No
Format settings, GMC : No warppoints
Format settings, Matrix : Default (H.263)
Codec ID : DIVX
Codec ID/Info : Project Mayo
Codec ID/Hint : DivX 4
Duration : 1 h 36 min
Bit rate : 1 499 kb/s
Width : 800 pixels
Height : 480 pixels
Display aspect ratio : 16:9
Frame rate : 23.976 (24000/1001) FPS
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Compression mode : Lossy
Bits/(Pixel*Frame) : 0.163
Stream size : 1.02 GiB (91%)
Writing library : Lavc57.64.100Same file size but lower resolution.
Any ideas on what the best settings to achieve my goal ?
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