STUDENT PROJECT PAGE


Master's project: Thesauri and the Mirror multimedia retrieval model

Querying non-textual data in databases is difficult. In this project, we attempted to improve the results of content-based retrieval systems with the addition of explicit knowledge. Mark van Doorn investigated how and if "thesauri" can be integrated in the Mirror approach, and maybe also perform some experiments to test whether thesauri really improve retrieval.

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Master's project: Content-based retrieval of music

Two techniques for music retrieval have been described in literature. Harold Oortwijn implemented the Musclefish approach to retrieve music based on results from this previous research. We started with MATLAB procedures to calculate features. Later, we may integrate these in a module for the Monet extendible database system.

Together with Symbol, a start-up in the market for radio broadcasting equipment, we evaluated the performance against a manually classified music collection. The results are encouraging more research.

Master's project: A software architecture for Mirror and AMIS

In Mirror, we have a pretty complex environment: daemons to calculate features, clients for retrieval and maintenance, an extensible database managing the meta information, and a modern multimedia file system to service the video data. Erik van het Hof organized this "spaghetti" into a software architecture, with clear instructions how to write components for this architecture. Java and CORBA play an important role in this complex environment.

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Design project: Applying the GEMINI-algorithm to medical measurements

Roessingh Research and Development BV (RRD) is a selfsupporting company focussed on research and development activities in rehabilitation of the locomotion system. Pieter Kuijpers investigated the possibility of using database technology to enable the retrieval of similar patients using the measurements of one patient as input. This idea may be very beneficial for selection and evaluation of medical treatment.

Master's project: A neural network for audio retrieval

Traditional speech recognition is not suited for information filtering tasks, since you have to work with a predefined vocabulary. By indexing phoneme sequences instead of words, this problem could be overcome. Hong H. He started realization of a neural network recognizer for such phoneme sequences in his master's project.

Master's project: Wavelets and multimedia indexing

The properties of Wavelet Transforms for the indexing of multimedia databases has been the research topic for the Master's project by Ivan H.P. Meert. The Discrete Fourier Transform has been used for indexing time series in previous research. The first two or three (complex) coefficients can be stored in a spatial indexing structure to speed up retrieval of time series. Instead of Fourier transforms, one may be able to use wavelet transforms for the same indexing process. We expect the wavelet transform to be especially beneficial for the processing of sub-pattern matching.

Design project: Intelligent Television against Information Overload

"Without information no retrieval!"

This design project by five undergraduate students developed an environment in which a database is filled with television data from several information channels. Philips Sound and Vision provided us with a prototype television that was very suited to be used in this project.

Short design project: Querying Illustra with a Java Client

In this short design project for one student, Remko M. Wiersma developed a Java wrapper around an Illustra database. This would have made it much easier to create new client programs on top of Illustra. A case study into course information on the web has been investigated by Remko.
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