Detection of hard cuts and gradual transitions from video using fuzzy logic
by S. Das, S. Sural, A.K. Majumdar
International Journal of Artificial Intelligence and Soft Computing (IJAISC), Vol. 1, No. 1, 2008

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.

Online publication date: Fri, 14-Nov-2008

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