Contextual information for image retrieval systems
Chee Sheen Chan, Adel Johar, Jer Lang Hong · 2013
Images in web come with valuable contextual information, which is useful for indexing and retrieval systems. However, there is no current acceptable standard which define the boundary and region where this information is located. In this paper, we discuss the state of the art image retrieval systems and address the current problem with these systems. We then formulate a hypothesis that contextual information can be found within the region nearby the images and we conduct a user study to validate our approach.