Adaptive update using visual models for lifting-based motion-compensated temporal filtering

Song Li; H. Kai Xiong; Feng Wu; Hong Chen

doi:10.1117/12.588064

14 March 2005 Adaptive update using visual models for lifting-based motion-compensated temporal filtering

Song Li, H. Kai Xiong, Feng Wu, Hong Chen

Proceedings Volume 5685, Image and Video Communications and Processing 2005; (2005) https://doi.org/10.1117/12.588064
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

A fundamental difference in the MCTF coding scheme from the conventional compensated DCT schemes is that the predicted residue is further used to update the temporal low-pass frames. If the motion prediction is inaccurate, it would introduce ghost at the low-pass frames when some high-pass frames are dropped due to limited channel bandwidth or device capability. However, it will definitely hurt the coding efficiency if the update step is removed totally. To solve the dilemma, this paper proposes a content adaptive update scheme, where the JND (Just Noticeable Difference) metric is used to evaluate the impact of the update steps in terms of visual quality at the low-pass frames. The JND thresholds are image dependent, and as long as the update information remains below these thresholds, we achieve “update residual” transparency. Therefore, the potential ghost artifacts detected by the model can be alleviated by adaptively removing visible part of the predicted residues. Experimental results show that the proposed algorithm not only significantly improves subjective visual quality of the temporal low-pass frames but also maintains the PSNR performance compared with the normal full update.

Citation Download Citation

Song Li, H. Kai Xiong, Feng Wu, and Hong Chen "Adaptive update using visual models for lifting-based motion-compensated temporal filtering", Proc. SPIE 5685, Image and Video Communications and Processing 2005, (14 March 2005); https://doi.org/10.1117/12.588064

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
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Visualization

Motion models

Visual process modeling

Video

Digital filtering

Scalable video coding

Video compression

Show All Keywords

Keywords/Phrases

Search In:

Publication Years