A while back now my wife started doing the final editing of some of her videos rather than having to wait around for me to get to it.
Anyway that was fine cos’ hey, it’s not like she was paying me!
Anyway one of the first hurdles we had to get over was that the videos she was uploading to YouTube had absolutely terrible color.
The workflow we had was that I would run the original footage through DaVinci Resolve making sure that the color and the audio were within correct parameters.
I would then pass it on to her for the editing part but to her, the color looked bad so she would then “correct” it.
That correction was the actual source of the problem because her monitor was displaying color incorrectly.
To fix that problem I had to get her to stop applying color correction to the video when she received it just because on her monitor it all looked wrong.
The real problem here is that all monitors and phone screens display color differently so for me I do two things.
First, I calibrate my monitor as best I can and secondly, I correct my colors using tools like you find in the Resolve Color Page so I don’t rely on how it looks to me.
I use those scopes and other tools to make sure the colors are correct independent of how they look on my monitor or anyone else’s for that matter.
This is a demonstration of the new(ish) AI Storytelling module in PowerDirector 365.
First up, this is only available in the subscription version of PowerDirector and using it costs credits like many of the A.I. features in software these days so there’s that.
It is an interesting deployment of A.I and although don’t see it as a total solution to creating a story, I think it could be useful as a starting point to at least get some ideas on the timeline.
These days just about all consumer level video editing programs come with some type of free screen recording function.
Most are accessible from within the program itself but in reality operate as a standalone module.
Back in the day this wasn’t the case and in fact a good quality screen recorder would set you back at least over $100!
So here’s the kind of interesting part of the new breed of screen recorders that are packaged with editing software.
I test a lot of software to work out which ones I would recommend and of course check out the screen recorders while I am at it.
After having done that many, many times I have realized they all look almost exactly the same!
Sure there are slight differences but but those differences are purely cosmetic and what I suspect is that they are all the same licensed software from whoever built one of the original ones.
Anyway, conspiracy theories aside here’s a tutorial form the Movavi guys showing how to correctly setup your screen recorder to get the best results.
This is Part 2 in the series covering the latest updates to Filmora 15.
Although they have been hitting the old A.I. button pretty hard, that’s certainly not the whole story!
There have been new features as well as some great upgrades to existing ones.
The HDR Color wheel is a pro level addition to what have become over time some excellent color correction and grading tools.
A week or two ago I posted a video highlighting some of the recent updates to Filmora 15.
One of the new features mentioned in that video was the Relight module but in that video there was no real demonstration of what it actually did.
So to fill that gap here’s a more complete explanation of the Relight feature covering what it does, how to access it and the available settings.
When A.I. content first started appearing on YouTube they announced they would be treating it pretty much the same a Google was treating all A.I. content.
That policy was basically they did not really care how the content was made as long as that content served the purpose for which is was intended and was of reasonable quality.
That was all very well at the time for YouTube until the amount of A.I. generated content started going through the roof!
Their first step in roping the situation in was that they required the creator to identify on uploading exactly to what degree A.I. had been used making the video.
That seemed fair enough at the time however the sheer volume of A.I. content of questionable quality has forced them into a more recent development.
Most likely through their own algorithm as well as A.I. they began a bit of a purge of channels creating such content by demonetizing them for “Inauthentic Content.”
As is usually the case with these automated actions a whole bunch of innocent parties got caught up in the mess and were incorrectly demonetized.
Initially such channel owners had very little success trying to appeal these decisions however recently there seems to have been an easing of the situation.
Here’s a video from Jacky Nguyen showing how he managed to get through the appeal process successfully.
Very soon after Jacky posted the video above on dealing with an “Inauthentic Content” demonetization by YouTube he has posted the one you will find below.
Essentially it is a warning to slow down, wait and be patient if you want to deal with the situation because rushing in may result in the situation getting worse!
One of the “hidden” factors in shooting videos that is strangely ever present is that of shot size.
By that we are referring to the amount of frame real estate the subject we are shooting occupies.
Very often we refer to shots as being wide, medium or closeup but the effect any of these shots has on the audience is the more important factor.
As newbies to shooting video we often tend to shoot based on what’s available, what is presented to us in a given circumstance.
The result of this is that often the shot itself doesn’t really convey the idea we had in the first place.
So here’s a rundown of the basic shot sizes with an explanation of what each one does with regards to audience perception or how it serves the video you are making.
Carrying on from the video above on shooting basics, in this one they cover “shot angle.”
This is another addition to the language of video that we all really need to understand.
As I have said before, I don’t expect amateurs to be religiously applying this information in their “How I grow Tomatoes” videos!
The reason I add it is so that we can all understand and be aware that certain angles and sizes of shot will create an effect which we may want or not want!
This just a very interesting scene-by-scene breakdown of the audio structure being created at a fully professional level.
Other than reiterating the need to address audio as an important part of video… not much to learn here really!
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