Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

regarding the logistic regression before plcc #18

Closed
seyeeet opened this issue Oct 28, 2020 · 3 comments
Closed

regarding the logistic regression before plcc #18

seyeeet opened this issue Oct 28, 2020 · 3 comments

Comments

@seyeeet
Copy link

seyeeet commented Oct 28, 2020

in the paper mentioned that:

Before calculating PLCC, logistic regression is first
applied to remove nonlinear rating caused by human visual
observation, as suggested in the report from Video Quality
Expert Group (VQEG) [11].

can you please share the logistic regression function that is used?

@lllllllllllll-llll
Copy link

Hello, you can use the matlab code for logistic regression.
https://github.com/lllllllllllll-llll/SROCC_PLCC_calculate

@seyeeet
Copy link
Author

seyeeet commented Oct 28, 2020

@lllllllllllll-llll thanks, I was hoping to get a python version :p

@lllllllllllll-llll
Copy link

@lllllllllllll-llll thanks, I was hoping to get a python version :p
Usually, when you do the single database evaluation test (e.g. train on LIVE, test on LIVE), you do not need to do the logistic regression for PLCC. The logistic regression is only applied when you do the cross test evaluation (e.g. train on LIVE, test on CSIQ), which you can use the matlab code.

@seyeeet seyeeet closed this as completed Oct 28, 2020
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants