Title: Adaptive frame assessment tactics for high quality therapeutic video compression

Authors: D. Raveena Judie Dolly; D.J. Jagannath

Addresses: Department of Electronics and Communication Engineering, Karunya Institute of Technology and Sciences, Coimbatore, 641114, India ' Department of Electronics and Communication Engineering, Karunya Institute of Technology and Sciences, Coimbatore, 641114, India

Abstract: Video compression came into existence three decades ago. It became a challenging and demanding task due to massive information content, as in the case of medical procedures and other essential footage. Digital storage of medical information has become a staggering task, since the requirements for information storage have become limited and expensive in the fast growing engineering technology. This daunting situation is a result of the unavailability of above par methodologies to store mega sized videos. Hence, video compression makes itself vital for the modern age. An exhaustive investigation using adaptive frame determination (AFD) is proposed in this research work for obtaining high quality compressed video. The perception of choosing the frames varies from the traditional method of video compression. Adaptive frame determination ascertains frames based on correlation for obtaining enhanced visual quality. Appropriate choice of the frames (intra frame, predictive frame, bi-directional frame) based on the motion type leads to better reconstruction quality which is validated by the two most reliable performance metrics, peak signal to noise ratio (PSNR) and structural similarity index (SSIM).

Keywords: adaptive frame determination; AFD; medical video compression; intra frame; predictive frame; bi-directional frame; group of pictures; GoP.

DOI: 10.1504/IJCAET.2021.115946

International Journal of Computer Aided Engineering and Technology, 2021 Vol.15 No.1, pp.46 - 57

Received: 20 Oct 2018
Accepted: 13 Dec 2018
Published online: 06 Jul 2021 *

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