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B. B. Chaudhuri and N. Sarkar, “Texture Segmentation Using Fractal Dimension,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 17, No. 1, pp. 72-77, 1995. doi:10.1109/34.368149

has been cited by the following article:

• TITLE: Fractal Dimension Based Shot Transition Detection in Sport Videos

  AUTHORS: Efnan Sora Gunal, Selcuk Canbek, Nihat Adar

  KEYWORDS: Scene Analysis, Shot Transition, Fractal Dimension, Differential Box Counting

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.4 No.4, April 29, 2011

  ABSTRACT: Increase in application fields of video has boosted the demand to analyze and organize video libraries for efficient scene analysis and information retrieval. This paper addresses the detection of shot transitions, which plays a crucial role in scene analysis, using a novel method based on fractal dimension (FD) that carries information on roughness of image intensity surface and textural structure. The proposed method is tested on sport videos including soccer and tennis matches that contain considerable amount of abrupt and gradual shot transitions. Experimental results indicate that the FD based shot transition detection method offers promising performance with respect to pixel and histogram based methods available in the literature.