Mr. Jeehwan Lee Profile

Jeehwan Lee

at Sungkyunkwan Univ

SPIE Involvement:

Author

Publications (3)

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 | 26 March 2023 Paper

CCLM combined with decoder-side intra mode derivation

Jeehwan Lee, Bumyoon Kim, Byeungwoo Jeon

Proceedings Volume 12592, 125922I (2023) https://doi.org/10.1117/12.2669362

KEYWORDS: Video coding, Statistical modeling

Read Abstract +

The Cross Component Linear Model (CCLM) is an intra prediction tool for chroma that was adopted in Versatile Video Coding (VVC) standard. It generates an intra-predictor by utilizing the linear correlation existing between the current chroma block and its co-located reconstructed luma region. However, the predictor generated by CCLM can potentially have discontinuity with its adjacent regions since it does not consider the adjacent samples during its predictor generation. So, we propose a new method called CCLM Combined with Decoder-side Intra Mode Derivation (CCDIMD) to overcome this problem. The key idea of CCDIMD is a weighted combination of the predictor generated by CCLM and the predictor generated by an intra-prediction mode inferred using the intra mode derivation process of DIMD. Our proposed method shows BDBR gains respectively of -0.02%, -1.05%, and -0.96% in Y, Cb, and Cr for 4:2:0 color format videos; -0.03%, - 0.34%, and -0.29% in Y, Cb, and Cr for 4:2:2 color format videos; and -0.10%, -0.40%, and -0.53% in Y, Cb, and Cr for 4:4:4 color format videos.

Proceedings Article | 26 March 2023 Paper

CCLM combined with decoder-side intra mode derivation

Jeehwan Lee, Bumyoon Kim, Byeungwoo Jeon

Proceedings Volume 12592, 125922I (2023) https://doi.org/10.1117/12.2669362

KEYWORDS: Video coding, Statistical modeling

Read Abstract +

Proceedings Article | 1 May 2022 Paper

CCIP: combined CCLM and intra prediction

Jeehwan Lee, Bumyoon Kim, Byeungwoo Jeon

Proceedings Volume 12177, 121771A (2022) https://doi.org/10.1117/12.2624328

KEYWORDS: Video compression, Video, Video coding, Scientific research

Read Abstract +

In this paper, we propose a new coding method, called combined CCLM and intra prediction (CCIP) to improve the prediction efficiency of the cross component linear model (CCLM) in versatile video coding (VVC) standard for chroma. While the CCLM technique in VVC can use the linear correlation between the current chroma block and its co-located reconstructed luma region, it cannot take into account the correlation existing between the current chroma block and its adjacent chroma blocks in prediction. The proposed CCIP overcomes this shortcoming by combining two predictors, respectively, generated by conventional CCLM models and by intra prediction using its spatial chroma reference sample. Our experimental results show BDBR of 0.06% in Y component, -0.60% in Cb, and -0.54% in Cr in 4:2:0 color format, and -0.09% in Y component, -0.33% in Cb, -0.42% in Cr in 4:4:4 color format.

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