Rate Distortion Performance of Motion Estimation for High Efficiency Video Coding
Perla Anitha1, P. Sudhakara Reddy2, M N Giri Prasad3
1Perla Anitha, Full Time Scholar, Department of Electronics and Communication Engineering, Jawaharlal Nehru Technological University (Ananthapur), Ananthapur, India.
2P.sudhakara Reddy, Department of Electronics and Communication Engineering, Jawaharlal Nehru Technological University (Ananthapur), Ananthapur, India.
3M N Giri Prasad, Department of Electronics and Communication Engineering, Jawaharlal Nehru Technological University (Ananthapur), Ananthapur, India.
Manuscript received on 18 March 2019 | Revised Manuscript received on 23 March 2019 | Manuscript published on 30 July 2019 | PP: 2855-2860 | Volume-8 Issue-2, July 2019 | Retrieval Number: B2132078219/19©BEIESP | DOI: 10.35940/ijrteB2132.078219
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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: The contemporary coding standard for video is High Efficiency Video Coding Standard (HEVC). It’s introduced by ITU-T (International Telegraph Union) and Joint Collaborative Team on Video Coding (JCT-VC). HEVC attains the requirement of video storage and transmission with high resolution. Although it requires the high amount of computational complexity. Motion Vectors are determined with motion estimation analysis; it is implemented with different types of algorithm. In this paper, Motion Estimation Process is implementing with the content split block search algorithm. It improves Peak Signal Noise Ratio (PSNR) than to the existing algorithms. The Objective evaluation has been performed with various video sequences such as BQ Terrace and also improved PSNR.
Index Terms: High Resolution, Motion Vectors, Video Storage and Transmission, Motion Estimation.
Scope of the Article: High Performance Computing