Title
An Efficient and Low-Delay Mctf Partitioning
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.
Year
DOI
Venue
2006
10.1109/ICIP.2006.313108
Atlanta, GA
Keywords
Field
DocType
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,JSVM,MCTF,Scalable,Video coding
Computer vision,Block-matching algorithm,Algorithmic efficiency,Pattern recognition,Computer science,Motion compensation,Multiview Video Coding,Filter (signal processing),Artificial intelligence,Codec,Wavelet,Autocorrelation
Conference
ISSN
ISBN
Citations 
1522-4880
1-4244-0480-0
0
PageRank 
References 
Authors
0.34
4
2
Name
Order
Citations
PageRank
Liyang Xu100.34
Sunil Kumar28610.07