We propose a new “content-free” image retrieval method which attempts to exploit certain common tendencies that exist among people’s interpretation of images from user feedb...
The performance of a new content-free approach to image retrieval is demonstrated. Accumulated user feedback data that specify which images are (ir)relevant to each other and keywo...
This paper describes Pinview, a content-based image retrieval system that exploits implicit relevance feedback during a search session. Pinview contains several novel methods that...
Peter Auer, Zakria Hussain, Samuel Kaski, Arto Kla...
Abstract. In this paper, the Ssair (Semi-Supervised Active Image Retrieval) approach, which attempts to exploit unlabeled data to improve the performance of content-based image ret...
TION ABSTRACT Personalised Video Retrieval: Application of Implicit Feedback and Semantic User Profiles Frank Hopfgartner University of Glasgow Glasgow G12 8QQ United Kingdom A ch...