But thank you very much for doing this. Okay? Great. hi!
My name is Carly Spina and i'm here with my colleague Joseph Anderson.
We're both librarians at the f it library and we're going to be talking about video captioning best practices.
Do you want to go to the next slide? So I thought we would start off with just talking about what are captions?
So captions transcribe the audio content of a video, And that includes important background sounds often for purposes of the types of things that libraries create.
We don't really need to worry about that so much because often we're really just talking about a track of an instruction video.
For example, where most of the important content is written in the text of the script, anyway.
But it is important to know that if you're captioning other video content.
Or if you're reviewing the captions that are created by vendors, they should include any background sounds that it's important to know about in order to fully understand and experience whatever you're watching so that is an important
distinction, I think, from just, you know, upload the script, which can sometimes be the way people think of captions.
There are 2 main types of captions. They can be what are called open captions, and that means that they're always visible on the video, or they can be closed captions, which is probably the more common type people talk about and that means
that the user can turn them on and off at their option.
The reason for this distinction is, there are advantages to both of these.
Open captions are advantageous because they allow you to include captions.
When you're uploading videos someplace where captions aren't natively supported, so an example of that would be social media.
Some social media sites don't allow you to turn on and off captions.
But if you upload a video that already has captions in it burned into the video and not removable, then that's something that will be visible, even though it doesn't have a built-in caption feature, the
downside of openc captions, and the reason why closed captions are usually preferable is that some people do find open captions very distracting, and they can block some of the video depending on where their place that's something you should try to
avoid, but it is an issue. so for maximum accessibility.
When you have the ability to generally the preferences to have closed captions with clear instructions about how someone can turn on the captions if they need them, or turn off the captions if that's something that they struggle
with processing, or find distracting when they're watching the video. So finally, generally they are placed over or just below the video.
If you are able to have them just below the video that's a little bit better, because they're not going to block anything, And generally you should try to make sure that you go through the video and think about whether any important visual information is
being blocked by the captions to but they are included right there with the video. With a slight preference for the bottom, you can put them at the top if that's necessary to not block important content.
This is unlike transcripts and that's One of the big difference between captions and transcripts.
Transcripts are generally separated. either they're to the side of, or they're below, and they're generally not even if they're interactive.
They're often in a different actual widget or application then the video itself.
So it's a separate piece of content from the video. So we are going to talk too much about transcripts today, but just to sort of explain what the difference is between them.
Next slide, please. So who are captions for well I think the primary audience is people who are deaf or hard of hearing, and that should be the audience that we're primarily thinking about when we're deciding how we're going to
create our captions of things like having the sound effects captions as well.
But there's a lot of advantages for other users as well captions can be really useful for users for whom the language of the video is their second language, because it can be a lot easier to read what You're watching a
video in a foreign language, then it can be to watch and just having both of the options presented to you simultaneously, can be really both an educational experience and support learning the language, and also make it easier to follow the language.
They're also really good for users who are either sitting in noisy locations, or who need to watch the video without sound.
And I think this is true as people who work in higher education for a lot of our students, whether they are studying at home or in a dorm room with lots of people around.
Or there's studying in the library they may not be able to have the sound on and pay attention to it.
So there's a lot of advantages to being able to offer them the option to read the content instead.
And then there's actually a lot of research that shows that they're just good for people who are learning to read in general that they're really a good support for people who are learning to read to be able to have the
captions on while they're listening to the video next slide, please. So it's really important to realize that accuracy is key.
And this is going to be something that joseph will talk about as well.
I think later, we've been talking about the different ways you can go about captioning.
But accuracy really is probably something that's more important than you realize.
It has to be higher percentage that you realize there is no clear legal standard.
So there isn't going to be a part of the Americans with Disabilities act, or similar law that says you have to read a certain percentage of accuracy.
Or but the accepted best practice is 99% accuracy for captions.
And the reason for that is because research shows that as mistakes increase, comprehension drops really rapidly.
And I think this makes sense, because for most of the captioning captions that are out there. If a mistake is introduced into the caption, it's not that it just doesn't have that word caption.
It actually has the wrong word. So if you're not hearing any input and you're following only from the captions.
It's not just that it's skipping a word, and you have to fill in in your mind what that word is.
It's that you're trying to read quickly you can't go back to the previous content, because it cycles off the screen.
And it's a wrong word. so you're trying to mentally make that fit into the model.
So I think people often think that 99% accuracy sounds pretty high, but it's really true that if you have no other input.
Other than what you can see on the screen, with the captions and the content on the screen, and you start introducing wrong words.
It quickly becomes very confusing and difficult to try to piece together what's happening.
Just to note that one reason why this accuracy percentage, I think, is really important right now is that, as of now, no commercially available automatic caption generation tool reaches 99% accuracy so that could change in the future people are
definitely working on these tools, but it's just something to keep in mind when you're thinking about what workflow you want.
None of them really quite reach they're they're pretty accurate at this point. Some of them but none of them reach this point, and they vary a lot based on how technical the terminology you're using
It's next slide, please. and then when you are doing captions. I just want to talk about what you want to consider for best practices.
So some of this is going to depend on what you use as the tool to deliver the video and the captions Youtube does not, for example, offer all that much customization by the end user.
But when you have the option it's great to try to follow the following sort of principles, or guidelines, if possible, offer the option for each users to themselves customize, where the captions are displayed so top
or bottom of the screen, and also the size of the font and the color.
And this is good, because it will help people who might also be low vision.
It'll help when there's not really great color contrast behind. You know, if you're on a white background, and you've got white captions, it's good to be able to switch those up for that video and it will just help
in general for people to be able to set it up whatever works best for them.
If you can't do that ensure that captions are sufficiently large in a readable format font, and in a Chi contrast color that's going to work well with the specific video, that you're working
with of these are particularly important to think about if you're doing open captions, because then they're on the video and they can't be edited or turned off at all. So it's in particularly good then to be thinking about okay
how can I make sure that i'm really making these readable the other thing is, remember that the difference between where you're presenting the video and where you're editing the video So sometimes when you're editing video content you're
viewing it presented much larger, maybe even full screen whereas it's gonna be just a tiny box on your lib guide, for example.
So you want to be thinking about that, too. when you think about how big the font is.
As I mentioned before, design the video So that captions do not cover key visual information, and then paste the captions at a speed that is readable, so that might sound obvious.
But I think it's worth thinking about and it's probably a slower speed than you think in a lot of ways generally.
Best practices are 5 to 12 words on the screen at a time, and generally that would mean like one, maybe 2 lines of captions.
You want to make sure that they're not so many that they're taking up a ton of the screen, and also you want to make sure that there aren't so many that in the amount of time that they're on the screen there's no
chance that the person's going to be able to really read them in general, also having too many on the screen at once just makes it visually more difficult, even if there were space for it to figure out where you are and stay on track so it's good to
just sort of present them pretty, you know. Concisely on each element of the video.
Next slide, please. So a little bit more, just about transcripts.
Transcripts can have different use cases so I think it's sometimes is worth considering whether or not you want to actually have both.
So transcripts can be used by individuals who are trying to search through the script of your video.
That's actually really a useful use, particularly in educational settings.
If somebody is studying for a test, they may not want to watch the whole video again.
If they are confused about a topic they may not remember which video it's in, and they might want to be able to search through it.
So I think that sometimes, particularly if you're integrating into a course, it can be nice to have both captions and the transcript and transcripts are also really absolutely necessary for accessibility for some users specifically users who are
using tools like refreshable braille entries or screen readers need to have a transcript they won't be able to access the captions.
Most assistive tools can't detect that a video has captions and can't access that caption file.
So if you were, for example, had a patron who was deaf blind, they would need access to a transcript to be able to make that video accessible for them.
That also leads into questions about other things like describing the visual elements, but as an initial matter for it to be accessible at all, you would have to have a transcript available for those individuals It can also be more easy to use for people who
have certain types of learning disabilities. If they have a transcript that they can just read, they might find that better and easier to understand than a video. Transcription also include relevant background noise So that they can be used separate from the
video completely, and transcripts If you're going to be using them instead of captions in particular, should appear as close to the video as possible.
It's very difficult to sort of go back and forth between the 2, and keep track of what's going on with both of them.
So you want to try to have it be in your range of view both the video and the transcripts, which is difficult.
And that's why captions are generally better unless there's some reason why, technologically, you can't offer captions in a particular tool that you have to use next slide.
Please. Yeah, I think that's it for me all right now it's my portion of the presentation, and again my name is Joseph Anderson, and I work at fet.
So today i'm going to talk about the sort of practical application of captioning you know at your instruction, and done generally speak about the sort of 2 different routes you can take when when you're captioning.
So we all, you know you have a set of videos and you're What do we do?
How do we caption these? So the sort of 2 routes that you can choose, generally speaking, are either doing it in the house or outsourcing it to a vendor.
And so before we get into those 2 kind of things I want to of just jump back and talk about sort of like the sort of bare bones, different approaches, and carly kind of went over this a little that you can take to
captioning. so, as kind of as I understand that there's about 3 different methods you can take so there's manual captioning. and so, as that kind of sounds it's like a person is sitting down and typing
out all the captions like what is said in the video and what is spoken, and the background noise and all those things.
And so, as you can imagine that's very laborious the next approach is what's very popular right now is the ai auto captions.
And so basically the video is fed into an algorithm, and it kind of shoots out this caption file and
That's wonderful, right But the problem with that is carly was detailing is like they're they're nowhere near as accurate as they need to be.
They're really they're really like kind of remarkable in some ways.
But then, when you look at them, they're like really stupid in a lot of ways like the kind of mistakes they make is not something a mistake that, like a a human being would make so because of that then, there's the
third approach, which is the hybrid approach which is very popular it's where you use both manual and the ai auto captions where you you have the ai generate a file.
And then you have a human being. go in after the fact, and review it and correct where the Ai has made mistakes, and that's generally like a I would say the the best approach to doing.
This if you have the means to do it. And so all of these different methods can be done, either in-house or outsource to a vendor.
So I think most fenders now probably do a mix of hybrid, or just one or just the ai there, I think there was a time before Ai where they were just doing straight manual.
But I think that's less less common now, because of the fact that, like starting out with the Ai sort of captions is like a just like a a great starting point.
But yeah, so you can do that in-house or outsource.
With all these different approaches, and so things to consider when, when when you sit down to start captioning of looking at these different approaches, or different routes between in-house or outsourcing number one not number one in
order of like importance, but let's talk about cost I would say in in most situations outsourcing is going to be radically cheaper than doing it in-house.
And that's just because of the sort of the fact that the vendors.
They have people like doing captioning that it's it's their job right?
It's their full. time job or you know like this they're dedicated to doing this and if you're doing captioning in house.
It's very likely that the person that's doing the captioning. They're also doing something else.
So they're never going to become as proficient at at it as the vendor. And so, because of that like they're just going to be way slower and spend more time on captioning than then then the vendor is or the person
working at the vendor and also yeah so that's just like the sort of basic economics of it it's. and and the only the only way that it might be cheaper in-house is if you have a
person that like you need that to do something and they're not going to do something else.
So you need them to just do caption, but you know, like
But in that rare circumstance I would I would lean toward the vendor.
And then so next consideration to think about is quality and again, I think, in most situations the vet for the same reasons that I was talking about for cost the the vendor is going to be more accurate just because like it's
involving professionals who are doing this they're dedicated to it.
And it's like their profession and so they're they're just gonna be better at it than the people that you're having do in-house most of the time.
There are situations on and Carly brought this up is when you're dealing with videos that have very specialized language.
Someone in high in house might be better at it than the the vendor, because the vendor is like you, very generalist.
Kind of approach, and they might not be familiar with you know the technical terms that are used in a video.
But even when you're working with a vendor in those cases, you can, you can.
You can notify them ahead of time of like you specialized video and give them like vocabulary that they'll use.
So there's there's ways to do that and so last kind of thing to think about is convenience.
One thing that's kind of a big headache with working with a vendor is is I imagine a lot of you know, like we, when you have to like get a contract or like go through an rfpef process that's kind of like a
very involved process, and like that sometimes can be like a hindrance to like just even doing it, because you may not have the sort of like the the energy or your department just doesn't have the the sort of energy to like get that done at your
institution. that organizing an in-house team requires a lot of education training.
So it's a big project to like organize a team and house to do that.
A convenience factor for a vendor is like usually they have like integrations.
Whatever video platform you're using so for instance if you're using Youtube like you, you can upload your video to the vendor, and they'll automatically integrate the captions on Youtube or Google drive or Vimeo or things like that so
that that's like a convenience of using a vendor.
A convenience of like the in-house approach is that it can give staff work to do during downtime or in a remote work environment.
So that's like nice is like in-house captioning can always be like something.
People can do when there's you know when things are slow So just to give you a little background of what happened at f it, and how we sort of approach Captioning, and how we we kind of went through the experience of doing both
in-house and working with a vendor, we initially were working in a very sort of unorganized environment where, like, we were using.
Youtube And so we were relying on their auto captions.
And then sometimes we would go in and have people correct those captions.
But it was very sort of like, unorganized. and we had this rule that, like Well, if a video ended up on the main college website, then it had to be reviewed by a human But anything else we kind of just like let the
auto captions do the trick, and then, so like when Eita compliance was developing at Salute Sunni, it required us to sort of form normalize the process and make it more scalable to be in
compliance. And so at that point we started to explore, working with a vendor, and we we started an Rfp.
Process with 3 different vendors. And so, while at the beginning of that that was when the Coronavirus pandemic began.
And so, all of a sudden, we had a lot of people working remotely what's in in some cases like unable to do their their main duty.
So they needed work to do. And so, at the that point we came up with this idea to do a sort of an in-house captioning project back in like April, 2020, maybe April, or May and So it was
a way to sort of like okay let's like why not let's do this.
Let's learn how to do captioning so be So, as a sort of a workflow, i'm gonna go over like the in-house approach that we took.
And of course, like if you're doing it in house you might be doing a different.
But this is kind of like how we figured it out, and what what worked for, what best for us during the the period that we were doing.
It. So the first thing that I would recommend that you would do is if you're doing in-house approaches like, identify a few people that you want to be your sort of your experts?
And these people are the ones who are going to like sort of like.
Understand captioning very well, and sort of be the leaders of the team of your captioning project.
It's just very you know in any situation it's good to have a few leaders when you have a project.
So these these people would be the ones that you would want to develop your workflow and also your style guide.
So one thing that Carly touched on is that there's no sort of like national guidelines for captioning out there.
There are some out there that are like widely used, like the Dcmp.
But like. So within your own project, you're gonna want to develop a sort of style guide of how you're going to format your captions like, How do you identify speakers?
How do you identify sounds that are happening in the background like you want to do that?
And also just develop like sort of some, some basic approaches to grammar, because, like one thing that happens when you have, like 15 people, captioning things is, they all have like different approaches, and you want to try to have some
consistency without sort of like going to overboard of like sort of micromanaging every little comma. So and then sort of the as you're developing this project, you want to identify and track all the videos that you need
caption captioning So it's good to do this in a spreadsheet. So as you go along, you can say like these, these videos have been captioned.
These videos need to be captioned. And then another big, important thing is like you need.
You need software to caption these videos. you can't just I mean you could do that.
You could open a text file and just like type in the captions. but that's a very like not efficient way to do this.
But you there there are. There are software out there that like is you know, set up in such a way that it makes captioning easier, so that it aligns with the the video and, like the the portion of the video or seeing So if you're already using Youtube for your
video platform Youtube. that the the captioning within Youtube. is is fairly usable and pretty good to do to you.
So I would recommend that there's also some other c caption software there's a product called Amara, which is open and free to the public where you can upload videos and it's a webin interface where you can
cash in videos there. and then finally there's something called subtitle edit, which I haven't used.
But it's a it's a it's a downloadable application, which is good because then you're not tied to sort of a particular platform like Youtube and So once you kind of figure out that in your workflows you want
to start like training your team of people that are going to caption.
And this is kind of hard for a lot, of people so as you go like I think it's important to keep in mind that like it's gonna be a slow process, and you're gonna want to like review people's work before
you let them out into the wild of just like captioning videos.
But at the same time. it's, very hard to if you have a team of people, or like a few people that are leading this project to review everyone's captions, because, like if you're reviewing everyone's caption it takes
as long as the video that you that's being captioned right because you're looking at every word and and etc.
So what we did at F. it is we developed this sort of like what we called like the triple pass method, where in each case where where it was available, we would start off the auto captions provided by Youtube have one person come in But
fix those captions, and and, you know, go and add punctuation.
Things like that correct words. And then we'd have a second person come in and review that person's work, and only when the second person had reviewed the work was the video ready to go so like in that and and so we created a sort of like
this community, proud, sourcing environment, with our within our own team. so we're like people, were kind of correcting their each other's, works, and like helping each other out.
And what was good about that? Is it created the sort of like environment where people are giving each other pointers and things like that because there it was.
It's like really hard, you the opposite approach of like where there would just be.
For like a top-down approach where there's like people reviewing all the work it's.
Just it's it's kind of undoable because like it's just like too much video.
And so in that way we kind of like yeah like i'm saying it created the sort of like proud sorts approach within our own team.
And so, finally, when the videos are done, you attach, the video you attach the captions to the video, either in your sort of like preservation storage system, and then also where wherever it's appearing in the public and so you can do
that either as as Carly was describing either through an open or a closed caption approach, and so some a few tips that i'll go over about doing things in-house.
One thing I would say is to try to emphasize to your team, to use their judgment and not get too overly bogged down in things like grammar and sort of syntax because like you can spend hours
by talking about like, Where should I come ago? How should we indicate like the sound is happening?
There are like ways to do that, and then like sort of approaches.
But you want to sort of like agree to that ahead of time, and try to be as consistent as possible, and always remember that the goal here is to successfully convey meaning to the user and like, Keep that in mind and then, you know so
like, if you think like i'm spending an hour this is an exaggeration like trying to figure out where the the comma goes in the sentence like try to think it was like, Does the Connor really hinder us
conveying meeting, meaning to the user you know like try to think like is is the person on the other end going to understand that.
And that's the most important thing. and not to be sort of overly bogged down what sort of syntax and the grammar too much.
I mean it's very important but don't don't obsess over it.
And so also also to keep in mind as I mentioned isn't a sort of a national standard about this or guidelines.
But so there's not always one right way to do this I mean. So if you open up a video at home or something, and you're watching a movie and you turn on the captions and you turn on the captions for another movie they might that they
are, the appearance of them is sometimes different. But importance is to be consistent throughout the video.
One thing. Another thing I will mention is that keep in mind.
Some people are like kind of going to be good at this kind of work.
The captioning and others are not and like if you find that there's people are just like kind of not getting it like I wouldn't try to like force them because it just kind of It's a it's a it's a kind of work that you need a certain kind
of personality to do, I think and like, even for myself, like I was trying to capture videos, and I was just like, I cannot do this.
I cannot through like 2 h of this video, typing out things and correcting things.
Other people just like love it. it's like relaxing so try to like identify people on your team.
That would be good at this kind of work. One thing another thing to recommend is,
Get your team to communicate with each other regularly, so they can like, give each other tips and pointers, because, like proficiency in the in captioning can be very slow.
So you know, we created a Google group with a captioning team, and they, you know each other stuff, and we had jokes about like the sort of inaccuracies that the Youtube Ai would do.
So it's it's kind of like a nice thing to do.
And so the next thing I would say is like when you're training your team like, identify the videos that are easier for first, as opposed to the harder videos like to you know gently kind of introduce them to this process So you
don't want to like start with people captioning panel discussions which are like incredibly hard to caption, because people are talking over each other.
There's multiple things happening at once, so like that kind of captioning is like super advanced level, so keep those ones till the end.
Yeah. And so those are some tips I would recommend and let's move on back.
I'm Sorry. Okay. sorry. So after we started our project our Rfp process was complete and we moved on to an outsource captioning video workflow.
And so our University chose verbat to use, and so orbit uses like a hybrid approach.
They they emphasize more of their Ai. And so in terms of accuracy, there are some other ones out there that emphasize more of like the that they have like people actually doing this more.
And so they might be a little better. But verbat is pretty good, and we've reviewed a lot of the videos that they've given us, and and it's pretty good.
So we started using them last year. We so as a workflow for verbid.
It's you know because you're outsourcing it's way less involved. and that's the advantage of using a vendor.
So basically what you're gonna want to do is like sort of create a team that represents different areas across the institution that are like making.
Video. So the this is the approach that we use like rather than like.
Have all the video come in to like sort of one department and they sort of caption it, or like work with verbat.
Or we're trying to use this approach that like the the department or the area that's creating the video as a part of like the making it.
They would upload it a verb it and have the captioning dome, and then, you know, sort of sort of like a decentralized approach.
And so that's been working pretty well. because like the the the actual platform, the verb platform, and a lot of these sort of vendor platforms are very easy to use.
You basically you're you upload a video and Then the next day it gives you a caption file.
So the thing you and just like with the the previous workflow of in-house.
You need to identify all the videos that need to be captioned.
And so an interesting thing about this is like we had all of our videos on. Youtube So we we wrote a script with a Youtube Api to identify, like all the videos that we have and their state of captioning So like videos
that had been manually added, that had, like the what you know, like good captions versus once.
I just had only the auto captions and then also videos that had no captioning whatsoever.
So it's good to kind of have a good inventory of like all your videos out there.
And so then, once you have those videos, you can begin uploading them to the vendor.
The captioning service platform. So you most of these are kind of like use.
The approach that you upload them one at a time, and you get the captions.
But verb it at least has an api where you can batch process things.
And so we wrote a script that so we could like batchload like a couple 100 videos at once and get the caption file and things like that. So that's worth exploring what's nice about verbat is that
it has an integration with Google drive and Youtube which and Youtube is the platform that we use.
So you can have a you know, either, a video on Youtube already there.
So you don't even have to upload it to the to the perfect platform.
It will just take it from Youtube to caption it and then reintegrate the captions with the Youtube file.
And then it also has an integration with things like Vimeo and Google drive.
So one thing that you have you can do to sort of get the captions more accurate with their vendor is, and I was talking about this previously is when you upload the video with verbat there's a sort
of a sort of a a form that you can fill out where you can include things like names of the speaker that are involved in the video, so that, like, So there's the correct spelling of like the the instructors name and you can also include a like
a list of vocabulary terms that might be useful to the person that's working on this video at verbit But again, that can get a little involved.
So you kind of want them to do more of the work, for you And so once you get the captions back, you kind of at the beginning want to do some sort of review process like spot check some of the videos to make sure
that They're they're they're reaching the 99% accuracy that they're promising.
But that's a court. it's sort of a double-edged sword, because, like if you're reviewing every video that you upload to verb it like down to the single minute like it kind of defeats the purpose of
outsourcing it because then you're you're pretty much like captioning it yourself.
If you're reviewing. it to that sort of detail, so at the beginning, you might want to like review things to make sure they're kind of doing good.
And then, after that sort of just like spot check things as you go.
But the the kind of thing with working with a vendor is you kind of have to have some sort of trust in them, because otherwise you're you're not you're not getting that economic savings that you're choosing
that thunder; for in the first place, but when you, when you do to review things with a vendor, you know in this case, verb it.
If you have errors, or you find errors or you can, you can send the video back and flag them, and then they'll have someone reprocess.
It. So yeah, when they're when the process is done you can either download the captions and associate them with the the sort of the preserved or the archive video, and also the public version But again, like with something like verbat
you can you can automatically integrate. it with whatever platform you're using so that as soon as the video is captioned it'll be updated on the platform.
So yeah, this process is way simpler than the in-house approach.
And so yeah, it's a there's less to be said about it.
So a few tips about working with a vendor.
When you go through this pr it's kind of in this case you want to identify priority videos, it's kind of the opposite of when you're doing in-house like I was saying was like work with the easiest videos
and in-house first, because it's like easier for your team.
But in this case, like when you're working with a vendor, you probably want to prioritize videos that have no captions whatsoever because of like a video with no captions is probably like worth out in public than a video
that has auto captions. I mean there's that you could probably argue both ways on that.
But so we made it a priority to sort of caption.
Everything that had like no captions whatsoever, and then to move on to things that only had auto captions.
When you work with your vendor, make sure that, like the integrations that they promise like actually were part of like our project that we wanted to do is to make sure, like all the videos that faculty had uploaded to to
blackboard were were captioned, but and we said they had an integration with blackboard.
But it turned out that it didn't actually work and So we were unable to actually caption a lot of those videos.
So just make sure, like whatever. However, you plan to like work with the videos that you're doing, actually, you know it works with the vendor.
I will say that with verb. it works really well with Youtube and Google drive and things like vimeo.
So yeah. I know, as I was saying earlier, like when you, when you approach to like what videos you want to caption like you, you kind of want to create this sort of tiered system of like what needs to be captioned
immediately what can wait. And so at f it, one of the things that we we sort of decided as like anything that's sort of like public has a sort of greater priority than things that are just like maybe used within the classroom because we have
a sort of a system within fit. Other with students.
We have this program called fitable like they can request videos, be captioned like weird need be, but like things on public that are publicly facing, we want to make sure those are like captioned as soon as they go public and So
how you figure that out May may may vary at your institution.
And so yeah, I have a well. we can share this presentation with you afterwards.
But I have. We have a few resources for you as your caption project, whether you want to do it in-house or outsource.
So some captioning guidelines I mentioned earlier the Dc.
And P. the described caption media program, which is sort of like one of the gold standards out there for how to caption, and they have some guidelines out there.
And again it's not like a 100% exhaustive.
So you might need to make your own sort of style guide to sort of add on to done to that.
So, and also linked to our own captioning guidelines that we used.
And so if you want to take a look at those they might be helpful and different captioning software.
You can look like, look at as I mentioned there's Youtube Amara and subtitle edit, and the captioning vendors that we are of peed with verbat 3 play media and Rev.
For of it's been really great and I think they're pretty good, I think.
3 plate media is maybe a little better but they're much more expensive.
And so that's one thing to keep in mind as you Look at different vendors.
You have to balance, you know, like what your institution can afford versus like the sort of accuracy you need.
Yeah, so that wraps up our presentation, so at this point If anyone has any questions or comments, we'd love to hear them. and just if it's if it's okay with you I can put the link to the presentation in
the chat right now. Oh, awesome. Yeah. Oh, yes, somebody raise their hand.
Holly. Yeah, hi! i'm wondering I i'm afraid I missed the first few minutes of this and I'm wondering, was this Is this an institution wide project the the f It one or is it the kind of
the library section of the institution only it's a It's A.
It's a campus wide thing at this point I don't know if I explain I mentioned this well, but, like you know, a couple years ago, captioning at F.
It was sort of like the library was doing it, some of it.
And then, you know, our External Relations Department was doing, and it was very sort of like, unorganized.
But when the sunni-wide Eita sort of compliance, started to go into effect.
We we centralized it, and we have a committee of people at f it from different departments.
That sort of work on this, and we're trying to sort of like centralize the captioning project process as much as possible.
It's not always perfect, but like I think it I think when you can do that?
It it's best also when you're working with a vendor.
It's it's best to be centralized because like you know, like you wanted to just come out of the library budget. Not necessarily.
If other people are going to use it so like at this point, like the the are vendor Costs are just coming out of the college budget budget.
So everyone has sort of stake in it. So yeah, hope that answers your question.
And just to add to that really quickly the when we were talking about the in-house Captioning Project that we did.
That was all library people doing the captions. But we did take in some videos from other departments that were then captioned by that group.
Yeah, and also like the library like so as part of like the library's sort of like preservation purpose.
We've taken videos throughout the college so we're like have videos across the departments.
But yeah, so it it was initially just a library project.
Project B in House captioning. Yeah. Are there any other questions?
This has been great. Thank you. Carly. and Joseph.
Yeah. and everyone can always email us. these are our email addresses.
So if you think of other questions, you can always send us an email to thank you for having us, Thank you very much.