Optimizing intra coding in 3D-HEVC with DMP: a deep learning-based depth modeling mode prediction strategy

Tingkai Zhou; Jing Chen; Qi Lin

doi:10.1117/12.3040497

10 September 2024 Optimizing intra coding in 3D-HEVC with DMP: a deep learning-based depth modeling mode prediction strategy

Tingkai Zhou, Jing Chen, Qi Lin

Author Affiliations +

Proceedings Volume 13257, International Conference on Advanced Image Processing Technology (AIPT 2024); 1325711 (2024) https://doi.org/10.1117/12.3040497
Event: International Conference on Advanced Image Processing Technology (AIPT 2024), 2024, Chongqing, China

Abstract

3D-HEVC is the latest 3D video coding standard which encodes a small number of texture and depth maps of a few viewpoints by Multi-view plus depth (MVD) format. The depth map is essential to synthesize virtual viewpoints for display. To ensure the quality of depth map coding, depth modeling modes (DMMs) are introduced and added to the candidate list directly for RD Cost calculation of all PUs to protect the edge information of depth map. Thus, increase the computational burden significantly. A depth mode prediction CNN, named DMP-CNN, is proposed in this paper to decide whether DMM modes should be added to the candidate list or not, and skip unnecessary mode decision calculations. Experimental results show that the proposed method achieves 14.64% of coding time saving compared to HTM-16.0 with 1.41% PSNR degradation of synthesis viewpoints at the same bitrate.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Tingkai Zhou, Jing Chen, and Qi Lin "Optimizing intra coding in 3D-HEVC with DMP: a deep learning-based depth modeling mode prediction strategy", Proc. SPIE 13257, International Conference on Advanced Image Processing Technology (AIPT 2024), 1325711 (10 September 2024); https://doi.org/10.1117/12.3040497

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Depth maps

Video coding

Modeling

Mathematical optimization

Artificial intelligence

Feature extraction

Video

Keywords/Phrases

Search In:

Publication Years