Mr. Jianing Chen Profile

Jianing Chen

at Peking Univ China

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 12 October 2022 Paper

Texture based adaptive computational resource allocation for fast AVS3 inter coding

Jianing Chen

Proceedings Volume 12342, 1234223 (2022) https://doi.org/10.1117/12.2644285

KEYWORDS: Video, Video coding, Computer programming, Data modeling, Video compression, Standards development, Binary data

Read Abstract +

The newest Audio Video Coding Standard (AVS3) generation provides better coding efficiency than its predecessor, where two new partitioning structures, i.e., Extend Quad-Tree (EQT) and Binary-Tree (BT), are adopted. Although these split tools bring remarkable coding performance, for the price of increasing of computational coding complexity. For the popular conference video applications, experiments show that the EQT or BT split times in different regions are quite different, which indicates that it is unnecessary to provide all partitioning candidate modes in different area. In this work, an effective partitioning resource allocation method is proposed to reduce computational complexity while guaranteeing the coding performance. Specifically, a Decision Tree (DT) model is trained to determine available partitioning modes for current Coding Unit (CU), where input features are the histogram, sobel texture and average residual difference between current and reference CU, along with the size of CU. The training data are selected from different test sequences of AVS and Joint Video Experts Team Common Test Conditions (JCT) sequences, which are identified by the Structural Similarity (SSIM). The experiments on 720p and Common Intermediate Format (CIF) sequences, implemented on platform of AVS3 reference software HPM-9.1, under Low Delay B (LB) configuration, show the efficiency of the proposed method, which can achieve more than 40.0% computational complexity reduction, and BDBR loss is less than 2.0%.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

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:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years