CapMate 101 – Caption/Subtitle Files Verification and Correction Solution
Many of our customers had been telling us that the process of validating and correcting closed caption files is tedious, time consuming and costly! And that they needed an innovative QC solution for caption and subtitle files, similar to what we have done for Audio/Video QC. We took that request to heart and have introduced CapMate, the first comprehensive cloud native caption QC software that provides verification and correction of captions and subtitle files.
In fact, CapMate is so innovative and bleeding edge that many are not even aware of such a solution category! Of course, there are a large selection of capable programs in the ‘captioning’ category that allow for creation of caption and subtitle files. However, until CapMate came around, there was NO solution to address the dire need for an innovative automated software for caption QC that could find caption related issues, much less fix them! Before CapMate, caption verification and correction was a painfully slow, manual, and error prone process.
And so starting with this blog post and following up with a series of short blogs, I would like to introduce you to this new category of software and tell you more about CapMate!
Let me start by giving you the highlights! CapMate:
Is a cloud-native solution that can work with your local content or those in the AWS cloud
Has been in heavy production use for over a year and so it already is a robust and proven solution
Helps drastically reduce the amount of time needed to verify and fix caption files, improving operational efficiency
Supports all the major caption formats such as SCC, SRT, IMSC, EBU-STL, and many more
Has usage-based pricing (monthly/annual/ad-hoc) so you only pay for what you use
Can detect the most common and difficult caption issues, like Sync, Text Overlap, missing caption, and many more
Can also correct these issues, in most cases automatically, and allow you to generate a new clean caption file
And so much more….
You can see a short 1-min clip highlighting CapMate’s features here.
Be on a look out for CapMate 102, the next blog in this series where I will write about one of the key features of CapMate, its ability to accurately detect and correct caption sync issues! At any time that you think CapMate may be the subtitle QC software solution you have been looking for, contact us (
[email protected]), and we are happy to give you a live demo of CapMate and set you up with a FREE trial account!
This content first appeared here on: https://www.veneratech.com/capmate-101-solution-for-verification-and-correction-of-caption-subtitle-files/
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MotoGP 2021: Rider's Championship
Here's a statistical breakdown on the race results and points for each rider in the championship. This only accounts for the riders who were the regular riders throughout the season, so no replacement riders (or Savadori). As I did before, the stats don't really include analysis on why certain riders have certain results (like injuries, older bikes etc.) but rather provide numerical values for the season.
Explanation on the terms:
avg - the average finish in races that the rider finished, DNF's not included
median - the median of all the race results, DNF's included
wins - the number of wins this season
podium - the number of 2nd and 3rd places
dnf - the number of retirements
ppr - points per race, out of all races finished how many points scored on average
* - anything to add, like missed races, team changes etc
This is a long one so click on to read!
1. Fabio Quartararo (278pt.)
avg - 3,82
median - 3
wins - 5
podiums - 5
dnf - 1
ppr - 16,35
2. Francesco Bagnaia (252 pt.)
avg - 4,31
median - 3,5
wins - 4
podiums - 5
dnf - 2
ppr - 15,75
3. Joan Mir (208 pt.)
avg - 5
median - 4,5
wins - 0
podiums - 5
dnf - 2
ppr - 13
4. Jack Miller (181 pt.)
avg - 5,21
median - 6
wins - 2
podium - 3
dnf - 4
ppr - 12,93
5. Johann Zarco (173 pt.)
avg - 6,27
median - 6
wins - 0
podiums - 4
dnf - 3
ppr - 11,53
6. Brad Binder (151 pt.)
avg - 7,82
median - 8
wins - 1
podiums - 0
dnf - 1
ppr - 8,88
7. Marc Márquez (142 pt.) *
avg - 5,5
median - 7,5
wins - 3
podiums - 1
dnf - 4
ppr - 14,2
* missed 4 races
8. Aleix Espargaró (113 pt.)
avg - 7,08
median - 8
wins - 0
podiums - 1
dnf - 5
ppr - 8,69
9. Jorge Martin (111 pt.) *
avg - 7,1
median - 10,5
wins - 1
podiums - 3
dnf - 4
ppr - 11,1
* missed 4 races
10. Maverick Viñales (106 pt.) *
Monster Energy Yamaha MotoGP (9 races + 1 nc)
avg - 7,56
median - 7
ppr - 10,56
Aprilia Racing Team Gresini (5 races)
avg - 14,2
median - 16
ppr - 2,2
Complete season:
avg - 9,93
median - 9
wins - 1
podiums - 1
dnf - 0
ppr - 7,57
* missed 1 race, one race not classified, team change
11. Enea Bastianini (102 pt.)
avg - 9,6
median - 10,5
wins - 0
podiums - 2
dnf - 3
ppr - 6,8
12. Pol Espargaró (100 pt.) *
avg - 9,73
median - 10
wins - 0
podiums - 1
dnf - 2
ppr - 6,67
* missed 1 race
13. Álex Rins (99 pt.) *
avg - 8,75
median - 11,5
wins - 0
podiums - 1
dnf - 5
ppr - 8,25
* missed 1 race
14. Miguel Oliveira (94 pt.)
avg - 10,77
median - 14,5
wins - 1
podiums - 2
dnf - 4
ppr - 6,71
15. Takaaki Nakagami (76 pt.)
avg - 11,13
median - 13
wins - 0
podiums - 0
dnf - 3
ppr - 5,07
16. Álex Márquez (70 pt.)
avg - 10,25
median - 13,5
wins - 0
podiums - 0
dnf - 6
ppr - 5,83
17. Franco Morbidelli (47 pt.) *
Petronas Yamaha SRT (8 races)
avg - 12
median - 14
ppr - 5
Monster Energy Yamaha MotoGP (5 races)
avg - 15,8
median - 17
ppr - 1,4
Total season:
avg - 13,46
median - 17,5
wins - 0
podiums - 1
dnf - 0
ppr - 3,62
* missed 5 races, team change
18. Valentino Rossi (44 pt.)
avg - 13,47
median - 14,5
wins - 0
podiums - 0
dnf - 3
ppr - 2,92
19. Luca Marini (41 pt.)
avg - 14,44
median - 15
wins - 0
podiums - 0
dnf - 0
ppr - 2,28
20. Iker Lecuona (39 pt.)
avg - 13
median - 16,5
wins - 0
podiums - 0
dnf - 6
ppr - 3,25
21. Danilo Petrucci (37 pt.)
avg - 13,85
median - 17
wins - 0
podiums - 0
dnf - 5
ppr - 2,85
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