Hybrid approach for video compression using block matching motion estimation

Abstract

Video is a collection chronological frame in a sequence. Video compression means reducing the size of video. To discard the redundancies present in video some video compression technique are involved. In video sequence there are two types of technique are present that are temporal redundancy and spatial redundancy. In this paper, we discuss about hybrid technique. Hybrid means combination of two technique i.e. efficient three step search algorithm (E3SS) and cross hexagonal search algorithm (CHS). There for E3SS used for core search and CHS is used for fine search so it occupies less disk space and file transferring is faster. In today's date block matching algorithm for motion estimation is powerful technique for high compression ratio and to reduce computational complexity. motion estimation calculate the position of pixel and it is a custom to calculate the pixel from current frame to reference frame. The main approach of motion estimation is reducing the search point and redundancy present in video. The experiment result shows that the proposal algorithm performs better than previous proposed block matching algorithms and required less computation.