1 research outputs found
Efficient Interactive Search for Geo-tagged Multimedia Data
Due to the advances in mobile computing and multimedia techniques, there are
vast amount of multimedia data with geographical information collected in
multifarious applications. In this paper, we propose a novel type of image
search named interactive geo-tagged image search which aims to find out a set
of images based on geographical proximity and similarity of visual content, as
well as the preference of users. Existing approaches for spatial keyword query
and geo-image query cannot address this problem effectively since they do not
consider these three type of information together for query. In order to solve
this challenge efficiently, we propose the definition of interactive top-
geo-tagged image query and then present a framework including candidate search
stage , interaction stage and termination stage. To enhance the searching
efficiency in a large-scale database, we propose the candidate search algorithm
named GI-SUPER Search based on a new notion called superior relationship and
GIR-Tree, a novel index structure. Furthermore, two candidate selection methods
are proposed for learning the preferences of the user during the interaction.
At last, the termination procedure and estimation procedure are introduced in
brief. Experimental evaluation on real multimedia dataset demonstrates that our
solution has a really high performance.Comment: 24 page