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Novel Optimized Framework for Video Processing in IoRT Driven Hospitals

Mani Deepak Choudhry1,*, B. Aruna Devi2, M. Sundarrajan3

1 KGiSL Institute of Technology, Coimbatore, 641035, India
2 Dr. N.G.P. Institute of Technology, Coimbatore, 641048, India
3 K. Ramakrishnan College of Engineering, Thiruchirapalli, 621112, India

* Corresponding Author: Mani Deepak Choudhry. Email:

Intelligent Automation & Soft Computing 2022, 34(1), 267-278.


Internet of Remote things (IoRT) has gained recent attention and is considered as one most prominent research topics being carried out by numerous researchers worldwide. IoRT is being used in various applications and this paper mainly concentrates on the healthcare industry wherein it could be used effectively for patient monitoring. IoRT plays a crucial role in monitoring the patients in any healthcare center remotely by allowing simultaneous video transmissions possible from the emergency areas like Intensive Care Unit (ICU). Considering general scenarios, the video transmissions are done by the main use of Gaussian distribution. With the help of the proposed IoRT based system, the video transmission could be effectively done by making use of short-term snapshots. This system enables a wide range of intermittent distributions. As the system basically works on multiple videos, denoising these videos is the primary challenge. Image-denoising is one of the important pre-processing stages, used to improve the overall quality of the images used in video transmission. The use of a Median Filter is done to minimize the overall Signal-to-Noise Ratio (SNR). Even though numerous types of Median filters are available, in this work we have made use of a 3D (Dimension) filter to get more effective results as the edges of the video frames are preserved. The paper has made use of a Hybrid algorithm combining the Cuckoo Search Optimization technique along with a Genetic Algorithm (GA) to optimize the frames in the video. The use of this hybrid algorithm paves a way to obtain equal intensity-based frames. For analyzing collective performance Peak Signal Noise Ratio (PSNR), Universal Image Quality Index (UIQI) and Structural Similarity Index (SSI) are used as quality assessment metrics to deliver a high-performance noise-free optimized video. The simulation results show better performance when compared with other image Noise Filtering Methods and other optimization algorithms when used in IoRT driven hospitals.


Cite This Article

M. Deepak Choudhry, B. Aruna Devi and M. Sundarrajan, "Novel optimized framework for video processing in iort driven hospitals," Intelligent Automation & Soft Computing, vol. 34, no.1, pp. 267–278, 2022.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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