Implementation of Efficient Block Based Motion Estimation Algorithm using Skipping Technique
B. Prabhakar1, D. Krishna Reddy2
1B. Prabhaka, Department of Engineering and Communication Engineering, JNTUHCEJ Jagtial, Telangana, Inida
2Dr. D. Krishna Reddy, Department of Engineering and Communication Engineering BIT, Hyderabad, Telangana, India.
Manuscript received on 05 April 2019 | Revised Manuscript received on 10 May 2019 | Manuscript published on 30 May 2019 | PP: 1941-1945 | Volume-8 Issue-1, May 2019 | Retrieval Number: A3013058119/19©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: Block-Matching (BM)Motion Estimation (ME) algorithm is used in most of the video coding systems. The advantage offered is in terms of reduced temporal redundancy in inter frames of video sequences. Though many BM algorithms have been proposed to reduce the computational complexity of ME, the computationally cost of effective Block-Matching (BM)ME algorithm is better choice for video conferencing, video telecasting and mobile communications applications. An operationally cost effective BMME algorithm using Enhanced Summed Area Table (ESAT) with skipping technique is developed. The proposed algorithm in this paper skips more number of unnecessary operations by incorporating suitable conditions before calculating block matching distortion. Through simulation results the effectiveness of proposed algorithmis shown which effectively curtails the computational complexity of the ME with ESAT while guarantee the motion prediction quality. The results show that about 79.85% operations have been skipped or eliminated. Keywords: Video, BMME, ESAT
Scope of the Article: Block Chain-Enabled IoT Device and Data Security and Privacy