Varible Blocksize Motion Estimation for H.264
Shafee Vunnisa Sayyad1, V.S.K. Reddy2
1Shafee Vunnisa Sayyad, Research Scholar, Rayalaseema University, kurnool, Sreenidhi Institute of Science & Technology, Andhra Pradesh, India.
2V.S.K. Reddy, Director, Malla Reddy College of Engineering And Technology, Telangana, India.
Manuscript received on 05 March 2019 | Revised Manuscript received on 12 March 2019 | Manuscript Published on 20 March 2019 | PP: 218-222 | Volume-8 Issue- 4S2 March 2019 | Retrieval Number: D1S0046028419/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Digital video coding plays a vital role in Transmission of videos. A still image will not contain any temporal content but possesses only spatial information but video does. Main key point for video compression is Motion Estimation. The clarity of the reconstructed video depends on how best we estimated the motion between two successive frames. Motion Estimation is done by Block matching algorithms. In this paper six algorithms are explained & applied on different styles of videos like slow motion, medium motion, fast motion. The comparison results will give the summary and the best algorithm suitable for different category of input videos.
Keywords: ME, EBMA, ARPS, DS, SAD, PSNR.
Scope of the Article: Information Ecology and Knowledge Management