New Compression Techniques for Content - based Retrieval

Due to the proliferation of multimedia information over the internet, users are confronted with large amounts of content from many sources around the world. Techniques that enable users to efficiently search and exchange information are greatly needed. Content-based retrieval system was proposed to automatically annotate and index the multimedia information by their own audio/visual contents instead of text-based keywords that were manually entered. Most of current content-based retrieval systems are designed in a centralized fashion where feature extraction, indexing and querying are all done in a single database server. This paradigm faces problems of intensive computation and difficulty to scale up.