Detection of hard cuts and gradual transitions from video using fuzzy logic

  • Authors:

  • S. Das;S. Sural;A. K. Majumdar

  • Affiliations:

  • School of Information Technology, Indian Institute of Technology, Kharagpur, Kharagpur – 721302, India.;School of Information Technology, Indian Institute of Technology, Kharagpur, Kharagpur – 721302, India.;Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, Kharagpur – 721302, India

  • Venue:
  • International Journal of Artificial Intelligence and Soft Computing
  • Year:
  • 2008

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Abstract

In this paper, we introduce a novel approach for the detection and classification of shot boundaries based on interval type-2 fuzzy logic. We consider fuzzy low level features (Fuzzy Histogram (FH) and Fuzzy Co-occurrence Matrix (FCM)) and evaluate a fuzzy rule base modelled by interval type-2 sets to detect cut boundaries. After detection of cuts, a recovery mechanism is used to reduce false positives caused by illumination variation (e.g., camera flash light). The fuzzy rules used for gradual transition form a unified approach to detect various types gradual transitions like dissolves, fades and wipes, by a single method. Test results indicate that very high precision and recall could be achieved for the test videos, particularly the recall value of gradual transitions.