Relevant Image Search Engine (RISE)

Digital image retrieval has attracted a surge of research interests in recent years. Most existing Web search engines usually search images by text only. They have yet to solve the retrieval tasks very effectively due to unreliable text information. Until now, general image retrieval is still a challenging research task. In this work, we study the methodology of cross-media retrieval and its effects on a tailor made visual search engine. Content Based Image Retrieval is a very active research topic which aims improving the performance of image classification. This work shows how to build a content based image retrieval engine. Later on several experiments consisting in changing some parameters and adding new retrieval techniques will show how they affect the global system. 1