Fast encoding parameter selection for convex hull video encoding

Ping-Hao Wu; Volodymyr Kondratenko; Ioannis Katsavounidis

doi:10.1117/12.2567502

21 August 2020 Fast encoding parameter selection for convex hull video encoding

Ping-Hao Wu, Volodymyr Kondratenko, Ioannis Katsavounidis

Proceedings Volume 11510, Applications of Digital Image Processing XLIII; 115100Z (2020) https://doi.org/10.1117/12.2567502
Event: SPIE Optical Engineering + Applications, 2020, Online Only

Abstract

With the recent development of video codecs, compression efficiency is expected to improve by at least 30% over their predecessors. Such impressive improvements come with a significant, typically orders of magnitude, increase in computational complexity. At the same time, objective video quality metrics that correlate increasingly better with human perception, such as SSIM and VMAF, have been gaining popularity. In this work, we build on the per-shot encoding optimization framework that can produce the optimal encoding parameters for each shot in a video, albeit carrying itself another significant computational overhead. We demonstrate that, with this framework, a faster encoder can be used to predict encoding parameters that can be directly applied to a slower encoder. Experimental results show that we can approximate within 1% the optimal convex hull, with significant reduction in complexity. This can significantly reduce the energy spent on optimal video transcoding.

Conference Presentation

Citation Download Citation

Ping-Hao Wu, Volodymyr Kondratenko, and Ioannis Katsavounidis "Fast encoding parameter selection for convex hull video encoding", Proc. SPIE 11510, Applications of Digital Image Processing XLIII, 115100Z (21 August 2020); https://doi.org/10.1117/12.2567502

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