Open AccessAn Innovative Video Summary and Pattern Mining using VSP Algorithm
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c1122.1083s19
Subject(s) - cluster analysis , computer science , tree (set theory) , data mining , frame (networking) , sequence (biology) , association rule learning , cluster (spacecraft) , pattern recognition (psychology) , artificial intelligence , algorithm , mathematics , mathematical analysis , telecommunications , biology , genetics , programming language
This paper proposes a VSP-TREE algorithm that mines l associations from video. A tool is designed to annotate the Video sequences by giving appropriate values to the sequence and then these values are converted into two-dimensional datasets suitable for clustering. The datasets are clustered using innovative algorithm to form distinct group and known as summary candidate with user size, our system make summary by choosing important frame from candidate cluster and put them in original. A VSP-TREE Based Mining method is used find out frequent patterns occurrence in the video. Association mining algorithm used on clustered datasets with innovative method, Video sequential pattern Tree (VSP Tree) Structure to generate frequent patterns through efficient methodology called conditional search.