Dancing is an activity commonly known to many. Learning dance of any dance genre can be difficult and even more difficult without professional training. Dance move terminology often gets lost in the learning process. This can make searching for digital dance resources challenging. This project explores the design of a database to store dance terminology and multimedia, e.g. video, image and audio, in conjunction with a dance system that implements a comprehensive search engine. The search engine uses query expansion techniques to improve the effectiveness of the search results by improving the recall of predictive results.
Develop a system for dancers, from novice to expert, to improve the accessibility of dance multimedia
The multimedia database is a fundamental aspect of the project. It is the backbone of the DanceBase system and houses the data used by the system and the query implementations.
The design of the database happened over a series of three iterations. With each iteration came an adjustment to better fit the porject to the scope of project. The third iteration produced the final conceptual model for the dance database. This model was used as the guide to produce to dance database created in PostgreSQL.
Explores academic literature on multimedia databases and exisiting dance systems