Motion Detection and Projection Based Block Motion Estimation Using the Radon Transform for Video Coding
Shilpa P. Metkar and Sanjay N. Talbar
DOI : 10.3844/jcssp.2010.979.986
Journal of Computer Science
Volume 6, Issue 9
Problem statement: Motion estimation and compensation is the most computationally complex module of video coder. In this study, an innovative algorithm was proposed for a further complexity reduction of the Motion Estimation (ME) module of video coder by employing motion detection prior to motion compensation. Approach: A Motion Detection (MD) module can be added to the video coder in order to decide whether the current block contains motion or is with zero motion. This study propounded a MD module that depends on motion activity. Generally, the correlation of the two consecutive frames is a good criterion to measure motion activity. We applied the correlation as a threshold to detect the motion activity. To assure the correct motion vector and thus better video quality, to calculate motion vector of motion blocks this study also proposed a new block matching motion estimation criterion based on the Radon transform using projection-matching method. However, computationally complex, the method had the ability to be implemented in real time by using pipeline architecture. Results: A comparative result showed that the MD module reduced the number of search points for motion estimation and compared with some well-known algorithm that uses minimum absolute difference criterion, the new criterion can provide much higher performance. Conclusion: The result showed that this proposed scheme can simplify the encoder complexity maintaining good video quality.
© 2010 Shilpa P. Metkar and Sanjay N. Talbar. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.