Friday 19th of April 2024
 

Mining Video Association Rules Based on Weighted Temporal Concepts


V.Vijayakumar and R.Nedunchezhian

Discovery of video association rules has been found useful in many applications to explore the video knowledge such as video indexing, summarization, classification and semantic event detection. The traditional classical association rule mining algorithms can not apply directly to the video database. It differs in two ways such as spatial and temporal properties of the video database and significance of the items in the vide cluster sequence. The proposed paper discovers significant relationships in video sequence using weighted temporal concepts. The weights of the video items take the quality of transactions into considerations using modified link-based models. The proposed Modified HITS based weighted temporal concept did not require pre-assigned weights. The mined association rules have more practical significance. This strategy identifies the valuable rules comparing with Apriori based video sequence algorithm. We also present results of applying these algorithms to a synthetic data set, which show the effectiveness of our algorithm.

Keywords: Video Temporal Sequence, Video Segmentation, Frequent Pattern, Modified HITS.

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ABOUT THE AUTHORS

V.Vijayakumar
Vijayakumar.V, Assistant Professor in the Department of Computer Applications, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India. He is currently pursuing his doctoral degree at Bharathiar University, Coimbatore, Tamil Nadu, India in the area of Multimedia Data Mining. He obtained his M.C.A degree and M.Phil degree in Computer-Science from Bharathiar University, Coimbatore. His research interests are Data Mining, Multimedia Information Retrieval, Image and Video Processing. He has presented six papers in National / International Conference and three in journal. He has guided several undergraduate, post-graduate projects and M.Phil research scholars. He is a student member of IEEE and life member of ISTE, IACSIT and IAENG.

R.Nedunchezhian
Dr. R.Nedunchezhian is currently working as the Professor and Head of Information Technology, Sri Ramakrishna Engineering College, Coimbatore. Previously he worked as the Vice-Principal of Kalaignar Karunanidhi Institute of Technology, Coimbatore. And also he served as Research Coordinator of the Institute and Head of Computer Science and Engineering Department (PG) at Sri Ramakrishna Engineering College, Coimbatore. He has more than 19 years of experience in research and teaching. He obtained his BE(Computer Science and Engineering) degree in the year 1991, ME(Computer Science and Engineering) degree in the year 1997 and Ph.D(Computer Science and Engineering) in the year 2007.He has guided several UG, PG and M.Phil projects and conducted a few sponsored conferences and workshops funded by private and government agencies. Recently he has obtained AICTE grant to the tune of Rs.10.5 lakh for conducting research in data mining. Currently, he is guiding many Ph.D scholars of Anna University, Bharathiar University and Manonmaniam Sundaranar university. He has produced one PhD and two more scholars have submitted their thesis recently. His research interests include knowledge discovery and data mining, Soft Computing, distributed computing, and information security. He has published 2 books, 45 research papers in international journals, 13 research papers in international conferences and 10 in national conferences. He is a Life member of Advanced Computing and Communication Society and Indian Society for Technical Education. He is a reviewer for a few international journals/conferences.


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