الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
video compression plays an important role in transmission and
Storage of digital video data. There are two kinds of redundancies in a
video sequence, namely spatial and temporal. The main idea for achieving
compression is to remove the temporal and spatial redundancies existing in
video sequence. Motion-compensated predictive coding is an effective
method that is commonly used in reducing the temporal redundancy and it
achieves one of the most important compression factors for a video coder.
Vector quantization (VQ) is an efficient technique for exploiting spatial
correlation. Temporal redundancies are usually removed by using motion
estimation/compensation techniques. Both VQ and motion estimation
algorithms are essentially template matching operations.
Motion estimation is the key issue in video compression. Several methods for
motion estimation based on the center biased strategy and minimum mean
square error trend searching have b