title: A Genetic Algorithm and Fuzzy Logic Approach for Video Shot Boundary Detection.
abstract: This paper proposed a shot boundary detection approach using Genetic Algorithm and Fuzzy Logic. In this, the membership functions of the fuzzy system are calculated using Genetic Algorithm by taking preobserved actual values for shot boundaries. The classification of the types of shot transitions is done by the fuzzy system. Experimental results show that the accuracy of the shot boundary detection increases with the increase in iterations or generations of the GA optimization process. The proposed system is compared to latest techniques and yields better result in terms of F1score parameter.
authors.affiliation: CSE Department, National Institute of Technology Silchar, Assam, India; CSE Department, Assam University Silchar, Assam, India.
authors.forename: Dalton Meitei
authors.initials: DM
authors.lastname: Thounaojam
authors.affiliation: CSE Department, National Institute of Technology Manipur, Manipur, India.
authors.forename: Thongam
authors.initials: T
authors.lastname: Khelchandra
authors.affiliation: CSE Department, National Institute of Technology Manipur, Manipur, India.
authors.forename: Kh
authors.initials: Kh
authors.lastname: Manglem Singh
authors.affiliation: CSE Department, Assam University Silchar, Assam, India.
authors.forename: Sudipta
authors.initials: S
authors.lastname: Roy
mesh_terms: D000465:Algorithms; D017143:Fuzzy Logic; D014741:Video Recording / Q000379:methods*