On the adaptive selection of partitioning tree types for coding video color channels

Kiran Misra; Andrew Segall; Jie Zhao; Weijia Zhu; Michael Horowitz

doi:10.1117/12.2322958

17 September 2018 On the adaptive selection of partitioning tree types for coding video color channels

Kiran Misra, Andrew Segall, Jie Zhao, Weijia Zhu, Michael Horowitz

Proceedings Volume 10752, Applications of Digital Image Processing XLI; 107520Y (2018) https://doi.org/10.1117/12.2322958
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

Abstract

We explore the use of separate partitioning structures for luma and chroma channels in the design of next generation video codecs. The proposed methods are evaluated relative to the Quad-Tree, Ternary-Tree and Binary-Tree (QTTTBT) partitioning framework currently implemented in the BenchMark Set (BMS-1.0) software being used in the development of the Versatile Video Coding (VVC) project. VVC is the next generation video compression standard under development by the Joint Video Experts Team (JVET), which is joint collaboration between MPEG and the ITU-T. In the paper, the performance of using shared or separate partitioning tree structures for luma and chroma channels is measured for sequences including those used for the Joint Call for Proposals on video compression with capability beyond HEVC issued by MPEG/ITU-T and trends are analyzed. The use of separate partitioning tree structures is restricted to intra coded regions. Objective performance is reported using the Bjøntegaard Delta (BD) bitrate, and visual observations are also provided. To demonstrate the efficacy of using different partition structures, bitrate savings are computed using simulations and show an average improvement of 0.46%(Y)/7.83%(Cb)/7.96%(Cr) relative to state-ofthe-art. It is asserted that the coding efficiency improvement is especially pronounced in sequences with occlusions/emergence of objects or dynamic changing content (e.g. fire, water, smoke). In the tests conducted, the Campfire sequence which has a large portion of the picture exhibiting a burning fire, shows the most BD bitrate saving of 1.79%(Y)/5.45%(Cb)/1.82%(Cr).

Conference Presentation

Citation Download Citation

Kiran Misra, Andrew Segall, Jie Zhao, Weijia Zhu, and Michael Horowitz "On the adaptive selection of partitioning tree types for coding video color channels", Proc. SPIE 10752, Applications of Digital Image Processing XLI, 107520Y (17 September 2018); https://doi.org/10.1117/12.2322958

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