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Research Article | Open Access |

Object Pre-processing using Motion Stabilization and Key Frame Extraction with Machine Learning Techniques

Author 1: Kande Archana Author 2: V Kamakshi Prasad
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 13, No. 11 · Published 2022

DOI: https://doi.org/10.14569/IJACSA.2022.0131116

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Abstract

Video information processing is one of the most important application areas in research and to solve in various pre-processing issues. The pre-processing issues such as unstable video frame rates or capture angle, noisy data and large size of the video data prevent the researchers to apply information retrieval or categorization algorithms. The video data itself plays a vital role in various areas. This work aims to solve the motion stabilization, noise reduction and key frame extraction, without losing the information and in reduced time. The work results into 66% reduction in key frame extraction and nearly 6 ns time for complete video data processing.

Keywords

Information loss preventive mean angle measure key frame extraction moving average dynamic thresholding

How to Cite this Article

Archana, K., & Prasad, V. K. (2022). Object Pre-processing using Motion Stabilization and Key Frame Extraction with Machine Learning Techniques. International Journal of Advanced Computer Science and Applications, 13(11). https://doi.org/10.14569/IJACSA.2022.0131116

Archana, Kande, and V Kamakshi Prasad. "Object Pre-processing using Motion Stabilization and Key Frame Extraction with Machine Learning Techniques." International Journal of Advanced Computer Science and Applications, vol. 13, no. 11, 2022, https://doi.org/10.14569/IJACSA.2022.0131116.

@article{Archana2022,
  title     = {Object Pre-processing using Motion Stabilization and Key Frame Extraction with Machine Learning Techniques},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {13},
  number    = {11},
  year      = {2022},
  publisher = {The Science and Information Organization},
  author    = {Kande Archana and V Kamakshi Prasad},
  doi       = {10.14569/IJACSA.2022.0131116},
  url       = {https://doi.org/10.14569/IJACSA.2022.0131116}
}

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