Parallel Motion Estimation Using Cluster Computing For Fast Video Sequence Compression
S. Jeyakumar · i-manager’s Journal on Software Engineering · 2009
Compression of video is ubiquitous in today's multimedia and Internet world. The increasing demand to incorporate video data into telecommunications services, multimedia applications, the corporate environment, the entertainment industry, and even at home has made digital video technology a necessity. Video images are moving pictures which are sampled at frequent intervals usually, 25 frames per second and stored as sequence of frames. A problem, however, is that digital video data rates are very large, typically in the range of 150 Mbits/sec. Data rates of this magnitude would consume a lot of the bandwidth, storage and computing resources in the typical personal computer. For this reason, video compression standards have been developed and intensive research is going on to derive effective techniques to eliminate picture redundancy, allowing video information to be transmitted and stored in a compact and efficient manner. Though video compression system is available and several advanced compression techniques evolved, the compression tasks are computationally intensive, mainly due to the large By