Khan, Nizam (2005) Multimedia database search techniques. [USQ Project]
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Abstract
From the past decade, the database area has been quite energetic. Several efficient
methods are being discovered for managing alphanumeric data. However, when new
types of data in the form of image, video and audio are first brought into a database
environment, these methods failed to efficiently manage the new kinds of data.
Therefore, new multimedia indexing and retrieval methods are required.
This project seeks to investigate possible approaches for deriving multimedia search
techniques. The project scope can be categorized into four areas, understanding of
different media types, extensive investigation of multimedia database management
system, broad research into multimedia document retrieval and implementing some
available methods for audio and image retrieval using MATLAB.
In this project, LPC analysis and Filter-Bank analysis are implemented for speaker
recognition. In addition, Histogram based image retrieval technique is implemented for
color image retrieval. Results are presented for these methods and their performance is
discussed.
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