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 :
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