Adaptive in-band motion compensated temporal filtering based on motion mismatch detection in the highpass subbands

A Gao, CN Canagarajah, DR Bull

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

1 Citation (Scopus)

Abstract

This paper presents an adaptive in-band motion compensated temporal filtering (MCTF) scheme for 3-D wavelet based scalable video coding. The proposed scheme overcomes the problem of visual artifacts due to motion mismatch when motion information of the spatial lowpass subband is inaccurately applied to the highpass subbands in decoding high spatial resolution video. More specifically, the proposed scheme determines if the mismatch energy is beyond an acceptable threshold in the wavelet domain and then adaptively switches between using the motion information from the spatial lowpass and highpass subbands in the MCTF prediction step. As a result, the amount of motion overhead needs to be transmitted is minimized and a good trade-off between motion information and texture is realized. Experimental results show that the proposed scheme greatly improves the quality of the decoded video at high spatial resolutions while achieving a high coding efficiency. Furthermore, the proposed adaptive scheme requires only modifications when performing MCTF in the highpass subbands, hence the original strength of in-band MCTF for decoding low spatial resolution video is well preserved.
Translated title of the contributionAdaptive in-band motion compensated temporal filtering based on motion mismatch detection in the highpass subbands
Original languageEnglish
Title of host publicationVisual Communications and Image Processing 2006, San Jose, CA, USA
PublisherSociety of Photo-Optical Instrumentation Engineers (SPIE)
Pages1 - 8
Number of pages8
Volume6077
DOIs
Publication statusPublished - 17 Jan 2006

Fingerprint

Dive into the research topics of 'Adaptive in-band motion compensated temporal filtering based on motion mismatch detection in the highpass subbands'. Together they form a unique fingerprint.

Cite this