Image Navigation: A Massively Interactive Model for Similarity Retrieval of Images

摘要

The ultimate objective of image retrieval research is to improve the user experiences in dealing with images, which happens to be closely related not only to the retrieval accuracy but also to the way he/she interacts with the retrieval tools. In particular, recognizing the subjectivity inherent in the problem leads to more emphasis on active participation of humans. This paper proposes a new user-system interaction model in the context of similarity retrieval of images.