DocumentCode
1570495
Title
An Efficient and Low-Delay Mctf Partitioning
Author
Xu, Lie ; Kumar, Sudhakar
Author_Institution
Omneon Video Networks, Beaverton, OR, USA
fYear
2006
Firstpage
1901
Lastpage
1904
Abstract
In this paper, we compute the residual energy of predictive frames (i.e., unidirectional and bidirectional motion prediction) by using the autocorrelation between successive video frames at different frame lags (or prediction terms). A new low-delay motion compensated temporal filtering (MCTF) structure is proposed based on the residual energy computations, which outperforms the `low-delay MCTF´ scheme suggested in the joint scalable video model (JSVM) in terms of delay, number of badly matched blocks and PSNR performance. The PSNR performance of the proposed scheme is only slightly lower than the `conventional 5/3 MCTF´ scheme. This scheme can also be used with other types of wavelet filters (e.g., Haar) and can substitute the MCTF in 3D wavelet-based video codecs to achieve low delay with only minor reduction in coding efficiency.
Keywords
correlation methods; filtering theory; motion compensation; video codecs; video coding; 3D wavelet-based video codecs; JSVM; autocorrelation; coding efficiency; joint scalable video model; low-delay MCTF partitioning; motion compensated temporal filtering structure; predictive frames; residual energy computation; wavelet filter; Autocorrelation; Computer networks; Delay; Filtering; Filters; PSNR; Scalability; Static VAr compensators; Video codecs; Video coding; JSVM; MCTF; Scalable; Video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2006 IEEE International Conference on
Conference_Location
Atlanta, GA
ISSN
1522-4880
Print_ISBN
1-4244-0480-0
Type
conf
DOI
10.1109/ICIP.2006.313108
Filename
4106926
Link To Document