Shot boundary detection using frame transition parameters and edge strength scatter

  • Authors:
  • P. P. Mohanta;S. K. Saha;B. Chanda

  • Affiliations:
  • Indian Statistical Institute, Kolkata, India;CSE Department, Jadavpur University, Kolkata, India;Indian Statistical Institute, Kolkata, India

  • Venue:
  • PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

We have presented a unified model for various types of video shot transitions. Based on that model, we adhere to frame estimation scheme using previous and next frames. The frame parameters accompanied by a scatter measure of edge strength and average intensity constitute the feature vector of a frame. Finally, the frames are classified as no change (within shot frame), abrupt change or gradual change frames using a multilayer perceptron network. The scheme is free from the problems of selecting thresholds and/or window size as used by various schemes. Moreover, the handling of both, abrupt and gradual transitions along with non-transition frames under a single and uniform framework is the unique feature of the work.