Abstract
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.
Cite
CITATION STYLE
Jang, S. W., Kim, G. Y., & Choi, H. I. (2001). Detecting shot transitions for video indexing with FAM. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2130, pp. 1020–1025). Springer Verlag. https://doi.org/10.1007/3-540-44668-0_141
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