Sample-adaptive-prediction for HEVC SCC intra coding with ridge estimation from spatially neighboring samples

Je-Won Kang; Soo-Kyung Ryu

doi:10.1117/12.2266115

8 February 2017 Sample-adaptive-prediction for HEVC SCC intra coding with ridge estimation from spatially neighboring samples

Je-Won Kang, Soo-Kyung Ryu

Author Affiliations +

Proceedings Volume 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016); 102251J (2017) https://doi.org/10.1117/12.2266115
Event: Eighth International Conference on Graphic and Image Processing, 2016, Tokyo, Japan

Abstract

In this paper a sample-adaptive prediction technique is proposed to yield efficient coding performance in an intracoding for screen content video coding. The sample-based prediction is to reduce spatial redundancies in neighboring samples. To this aim, the proposed technique uses a weighted linear combination of neighboring samples and applies the robust optimization technique, namely, ridge estimation to derive the weights in a decoder side. The ridge estimation uses L₂ norm based regularization term, and, thus the solution is more robust to high variance samples such as in sharp edges and high color contrasts exhibited in screen content videos. It is demonstrated with the experimental results that the proposed technique provides an improved coding gain as compared to the HEVC screen content video coding reference software.

Citation Download Citation

Je-Won Kang and Soo-Kyung Ryu "Sample-adaptive-prediction for HEVC SCC intra coding with ridge estimation from spatially neighboring samples", Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 102251J (8 February 2017); https://doi.org/10.1117/12.2266115

ACCESS THE FULL ARTICLE

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