Neural network based intra prediction for video coding

J. Pfaff; P. Helle; D. Maniry; S. Kaltenstadler; W. Samek; H. Schwarz; D. Marpe; T. Wiegand

doi:10.1117/12.2321273

17 September 2018 Neural network based intra prediction for video coding

J. Pfaff, P. Helle, D. Maniry, S. Kaltenstadler, W. Samek, H. Schwarz, D. Marpe, T. Wiegand

Proceedings Volume 10752, Applications of Digital Image Processing XLI; 1075213 (2018) https://doi.org/10.1117/12.2321273
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

Abstract

Today’s hybrid video coding systems typically perform an intra-picture prediction whereby blocks of samples are predicted from previously decoded samples of the same picture. For example, HEVC uses a set of angular prediction patterns to exploit directional sample correlations. In this paper, we propose new intra-picture prediction modes whose construction consists of two steps: First, a set of features is extracted from the decoded samples. Second, these features are used to select a predefined image pattern as the prediction signal. Since several intra prediction modes are proposed for each block-shape, a specific signalization scheme is also proposed. Our intra prediction modes lead to significant coding gains over state of the art video coding technologies.

Citation Download Citation

J. Pfaff, P. Helle, D. Maniry, S. Kaltenstadler, W. Samek, H. Schwarz, D. Marpe, and T. Wiegand "Neural network based intra prediction for video coding", Proc. SPIE 10752, Applications of Digital Image Processing XLI, 1075213 (17 September 2018); https://doi.org/10.1117/12.2321273

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