Human Vision System's Region of Interest Based Video Coding

Authors

  • Asha K. UG Scholar, IT Department, P.S.V. College of Engineering and Technology, Krishnagiri, India.
  • Anuradha D UG Scholar, IT Department, P.S.V. College of Engineering and Technology, Krishnagiri, India.
  • Saravanan V Assistant Professor, IT Department, P.S.V. College of Engineering and Technology, Krishnagiri, India
  • Rizvana M. Assistant Professor, IT Department, P.S.V. College of Engineering and Technology, Krishnagiri, India

Keywords:

Video Compression, Human Vision System, Background, Foreground, Spatial, Temporal

Abstract

While watching a video human visual system gives more attention on the foreground objects than background objects. That is to say, human vision system pays more attention to region of interest, such as the human faces in the video content. Most of the video encoders compress video by considering every part of the video frames with equal importance. So the video size could not be Video Compressionreduced to maintain quality. The proposed system can detect the foreground and it can allocate different bit rates for different regions. By doing this the video quality can be maintained and the size can be reduced up to 40%.

References

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Published

2024-02-26

How to Cite

Asha, K., Anuradha, D., Saravanan, V., & Rizvana, M. (2024). Human Vision System’s Region of Interest Based Video Coding. COMPUSOFT: An International Journal of Advanced Computer Technology, 2(05), 127–129. Retrieved from https://ijact.in/index.php/j/article/view/24

Issue

Section

Original Research Article

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