International Journal of Approximate Reasoning
Neural networks: algorithms, applications, and programming techniques
Neural networks: algorithms, applications, and programming techniques
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Automatic partitioning of full-motion video
Multimedia Systems
Feature-Based Algorithms for Detecting and Classifying Scene Breaks
Feature-Based Algorithms for Detecting and Classifying Scene Breaks
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We describe a fuzzy inference approach for detecting and classifying shot transitions in video sequences. Our approach basically extends FAM(Fuzzy Associative Memory) to detect and classify shot transitions, including cuts, fades and dissolves. We consider a set of feature values that characterize differences between two consecutive frames as input fuzzy sets, and the types of shot transitions as output fuzzy sets. An initial implementation runs at approximately 7 frames per second on PC and yields promising results.