Video Scene Segmentation : A Novel Method to Determine Objects

Authors

  • A. Syed Kalith  M. Phil Scholar, Department of Computer Applications ,Alagappa University, Karaikudi, Tamil Nadu, India
  • D. Mohanapriya  Ph.DScholar, Department of Computer Applications, Alagappa University, Karaikudi, Tamil Nadu, India
  • Dr. K. Mahesh  Professor ,Department of Computer Applications , Alagappa University, Karaikudi, Tamil Nadu, India

Keywords:

MPEG-4 Standard, Video Segmentation, Filtering, Noise Removal, Background Difference, Object Detection.

Abstract

Video segmentation plays an important role in the MPEG-4 standard for multimedia applications. Segmentation of videos into their respective foreground and background articulate its importance in Video compression, human-computer interaction, video editing and manipulation etc. Video sequences are converted into frames and processing is done. The key perspective consider in this paper is the moving object detection with noise reduction. The video segmentation is done by detecting the moving objects on each frames and then labeling on it. A hybrid algorithm is proposed that quickly and efficiently extract the moving objects from the video sequence. Background difference is involved so as to acquire the initial object masking and to solve the uncovered background problem in the frames. The combination of noise reduction and background difference will yield the moving object within the video sequences with accuracy. The proposed algorithm is evaluated with varying input video sequences and results are produced. The experimental results show the method defers low computational complexity and better results in real time applications.

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International Journal of Scientific Research in Science and Technology

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Published

2018-02-28

Issue

Volume 4, Issue 2, January-February-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
A. Syed Kalith, D. Mohanapriya, Dr. K. Mahesh, " Video Scene Segmentation : A Novel Method to Determine Objects, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 2, pp.90-94, January-February-2018.