Title: Diamond search depend integrated projection error measurement motion estimation algorithm in video compression

Authors: H. Rajasekhar; B. Prabhakara Rao

Addresses: Department of Electronics and Communication Engineering, Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh, India ' Department of Electronics and Communication Engineering, Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh, India

Abstract: In the preceding video compression method, some limitations required to be enhanced, i.e., the compression ratio has to be improved. To enhance the conventional method negative aspect, an innovative video compression method employing diamond search depend integrated projection error measurement (DIPEM) estimation algorithm is anticipated. To begin with, the input video frames are processed by employing watershed algorithm and then the video frames motion vectors are evaluated by diamond search dependent integrated projection error motion inference algorithm. Subsequent the motion vectors assessment, encoding and decoding process are performed by JPEG-LS method. The execution result depicts the efficiency of anticipated method, in compressing more number of videos and the performance is assessed with conventional video compression techniques. The comparison result demonstrates that our anticipated method acquires high-quality compression ratio and PSNR than the conventional techniques.

Keywords: video compression; TDS algorithm; watershed algorithm; motion vectors; JPEG-LS; integral projection error measures; diamond search pattern.

DOI: 10.1504/IJBIDM.2019.100474

International Journal of Business Intelligence and Data Mining, 2019 Vol.15 No.1, pp.98 - 116

Received: 02 Mar 2017
Accepted: 03 May 2017
Published online: 29 Jun 2019 *

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