Scalable video coding using adaptive directional lifting-based wavelet transform

Chao Hsiung Hung*, Hsueh-Ming Hang

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

3-D wavelet video coding technique provides an elegant solution to the multimedia transmission scalability requirement. It uses motion-compensated temporal filtering (MCTF) for temporal decomposition and 2-D discrete wavelet transform (2-D DWT) for spatial decomposition. MCTF decomposes video frames into temporal high-pass residuals and temporal low-pass residuals. The temporal high-pass residuals have similar statistical properties as the motion compensation residuals but the temporal low-pass ones are similar to the original images. The adaptive directional lifting-based wavelet transform (ADLWT) finds the best filter direction in an image local area and provides better energy compaction than DWT. In this paper, we use ADLWT to replace 2-D DWT to improve the performance of 3-D wavelet video coding.

Original languageEnglish
Pages1043-1046
Number of pages4
StatePublished - 1 Dec 2011
EventAsia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011 - Xi'an, China
Duration: 18 Oct 201121 Oct 2011

Conference

ConferenceAsia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011
CountryChina
CityXi'an
Period18/10/1121/10/11

Fingerprint Dive into the research topics of 'Scalable video coding using adaptive directional lifting-based wavelet transform'. Together they form a unique fingerprint.

Cite this