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Design and development of compressed video sensing technique using shuffled sailfish optimization algorithm

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Abstract

In recent days, compressive video sensing combined both compression and video sensing into a single process, and has gained immense popularity in directly attaining compressed video data through arbitrary projections of each frame. However, it is a major issue in generating sophisticated videos. This paper devises a technique, namely a Shuffled sailfish optimizer (SSFO) for compressive video sensing using an encoder and decoder. The input video is divided into various Groups of Pictures and non-key frames. The video frames are divided into non-over-blocking blocks and every block is termed a vectorized column. The measurement vectors are quantized with Space Time Quantization and the bits linked with GOP are crowded in the packet and fed to the decoder once undergoing Huffman encoding. Once the decoder obtains the packet, it rebuilds GOP, and then the joint reconstruction is done with the proposed SSFO technique. Here, the proposed SSFO is obtained by combining the shuffled shepherd optimization algorithm, and the Sailfish optimizer. It utilizes a similar measurement matrix. The proposed SSFO outperformed with the highest Peak signal to noise ratio of 54.362 dB, Second derivative like measure of enhancement of 58.081 dB and structural similarity index measure of 0.927.

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Five videos from the Sports-1 M dataset taken from, “https://cs.stanford.edu/people/karpathy/deepvideo/”, accessed on August 2020.

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Acknowledgements

I would like to express my very great appreciation to the co-authors of this manuscript for their valuable and constructive suggestions during the planning and development of this research work.

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Authors and Affiliations

  1. Electronics and Communication Engineering, PSNA College of Engineering and Technology, Dindigul, 624622, India

    D. Gayathri

  2. Information Technology, PSNA College of Engineering and Technology, Dindigul, 624622, India

    R. PushpaLakshmi

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  1. D. Gayathri
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Contributions

All authors have made substantial contributions to the conception and design, revising the manuscript, and the final approval of the version to be published. Also, all authors agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. Mrs. D. Gayathri conceived the presented idea and designed the analysis. Also, she carried out the experiment and wrote the manuscript with support from Dr. R. PushpaLakshmi. All authors discussed the results and contributed to the final manuscript. All authors read and approved the final manuscript.

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Correspondence to D. Gayathri.

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Gayathri, D., PushpaLakshmi, R. Design and development of compressed video sensing technique using shuffled sailfish optimization algorithm. SIViP 18, 3537–3551 (2024). https://doi.org/10.1007/s11760-024-03019-1

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  • DOI: https://doi.org/10.1007/s11760-024-03019-1

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