Mr. Joong Gon Yim Profile

Joong Gon Yim

at Google

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 21 August 2020 Presentation + Paper

Video transcoding optimization based on input perceptual quality

Yilin Wang, Hossein Talebi, Feng Yang, Joong Gon Yim, Neil Birkbeck, Balu Adsumilli, Peyman Milanfar

Proceedings Volume 11510, 1151015 (2020) https://doi.org/10.1117/12.2569332

KEYWORDS: Video, Video compression, RGB color model, Data modeling, Machine learning, Image quality

Read Abstract +

Today's video transcoding pipelines choose transcoding parameters based on rate-distortion curves, which mainly focus on the relative quality difference between original and transcoded videos. By investigating the recently released YouTube UGC dataset, we found that human subjects were more tolerant to changes in low quality videos than in high quality ones, which suggests that current transcoding frameworks can be further optimized by considering perceptual quality of the input. In this paper, an efficient machine learning metric is proposed to detect low quality inputs, whose bitrate can be further reduced without sacrificing perceptual quality. To evaluate the impact of our method on perceptual quality, we conducted a crowd-sourcing subjective experiment, and provided a methodology to evaluate statistical significance among different treatments. The results show that the proposed quality guided transcoding framework is able to reduce the average bitrate up to 5% with insignificant perceptual quality degradation.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years