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Original Articles

A Data Structure for Interactive Multimedia Database Systems

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Pages 3-15 | Published online: 26 Mar 2015
 

Abstract

A data structure for an Interactive Multimedia database system has been developed in Visual Basic (Ver. 6.0). Here, the item retrieval method is both hierarchic and relational through the use of object oriented approach. The searching and sorting of data, joining of two or more files and database query generation are adopted through the text annotated primary key to save the overall execution time. In query generation, the system enables indirect querying to retrieve the contents of heterogeneous types of data by adopting the domain knowledge. The condition of queries is represented in a single media such as text for ease of specifying queries. In indirect querying, the type of specified condition differs from that of target data. Such facilities provide more freedom in specifying a query for retrieval in a multimedia database. The domain knowledge describes how the system views the target multimedia data for the retrieval of data by using MSQL (Multimedia SQL). MSQL supports the spatial predicates for image and graphic data retrieval. The arguments of the predicates can be semantics, image/graphics or dual entities. Since the present system is object oriented in nature it doesn't require any separate control for each media type and thus saves both time and resource. The system has been tested with 500 text and 500 image/graphics data for file creation, retrieval and query generation with 20 users in 30 minutes for nearly 99% accuracy.

Additional information

Notes on contributors

Partha Kr Mukherjee

Partha Kumar Mukherjee received his MCA degree from M.M.M Engineering College, Gorakhpur University in 1993. He served as a Sr. Lecturer in Institute of Engineering and Management, Salt Lake, Kolkata, from 1993–1997, then in GlobsynTechnologies Ltd., Salt Lake, Kolkata, as a Project Manager from 1997–2001. Currently he is working as a Project Manager in HCL Technologies, Salt Lake, Kolkata, since 2001, in the field of Data Warehouse and Data Mining Technologies.

Mita Nasipuri

Mita Nasipuri received her BETelE, METelE and PhD(Engg.) degrees from Jadavpur University, Kolkata, India, in 1979, 1981 and 1990 respectively. She is currently a Professor in Computer Science & Engg department of Jadavpur University. Her current research interest includes computer architecture, image processing, multimedia systems, bio-medical signal processing etc. She has a large number of research publications in International/National Journals and International/National conferences. She is a Senior Member of the IEEE, USA, Fellow, The Institution of Engineers (India), Fellow, West Bengal Academy of Science and Technology.

Dipak Kumar Basu

Dipak Kumar Basu received his BETelE, METelE and PhD (Engg.) degrees from Jadavpur University, Kolkata, India, in 1964, 1966, 1969 respectively. He joined Electronics & Telecommunication Engg department of Jadavpur University as a faculty member in 1968. He is currently a Professor in Computer Science & Engineering Department of the same university. His field of research interest includes digital electronics, microprocessor applications, bio-medical signal processing, knowledge based systems, image processing, and multimedia systems. He has a large number of research publications in International/National Journals and International/National conferences. He is a former fellow of the AvH Foundation, Germany, Fellow, The Institution of Engineers (India), Fellow, West Bengal Academy of Science and Technology and Senior Member of the IEEE. USA.

Mahantapas Kundu

Mahantapas Kundu received his BEE. METelE and PhD (Engg) degrees from the Jadavpur University, Kolkata, India, in 1983, 1985 and 1995 respectively. He worked as a Research Engineer in the Centre for Microprocessor Application for Training Education and Research, Jadavpur University, during 1985–1988. He has co-authored two textbooks on computer fundamentals and programming, and a number of research papers in the areas of pattern recognition, image processing, multimedia databases, artificial intelligence and bio-medical signal processing.

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