Title :
Motion estimation methods for overlapped block motion compensation
Author :
Su, Jonathan K. ; Mersereau, Russell M.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fDate :
9/1/2000 12:00:00 AM
Abstract :
An extension of conventional block motion compensation (BMC), overlapped block motion compensation (OBMC) has been shown to reduce residual errors and blocking effects in motion-compensated video. However, the overlap creates a noncausal spatial dependence between blocks and complicates motion estimation (ME) for OBMC. Iterative methods have traditionally been employed for overlapped block motion estimation (OBME). For compression, the rate for the motion vector field (MVF) may also be constrained. This work considers several rate-constrained OBME algorithms, both iterative and noniterative. Experiments demonstrate that a simple raster-scan algorithm is effective as a suboptimal, noniterative solution, with comparable or better rate-distortion performance and computational complexity than iterative OBME algorithms. Depending on the application, either this method or a simple block-matching algorithm plus iteration are the most attractive of the tested OBME schemes
Keywords :
computational complexity; data compression; image matching; iterative methods; motion compensation; motion estimation; rate distortion theory; video coding; block-matching algorithm; blocking effects reduction; computational complexity; experiments; iterative OBME algorithms; motion estimation methods; motion vector field; motion-compensated video; noncausal spatial dependence; noniterative algorithms; overlapped block motion compensation; raster-scan algorithm; rate-constrained OBME algorithms; rate-distortion performance; residual errors reduction; suboptimal noniterative solution; video compression; Computational complexity; Iterative algorithms; Iterative methods; Laboratories; Motion compensation; Motion estimation; Telecommunication computing; Testing; Transform coding; Video compression;
Journal_Title :
Image Processing, IEEE Transactions on