G - Physics – 06 – F
Patent
G - Physics
06
F
G06F 17/30 (2006.01)
Patent
CA 2307264
A methodology of highly interactive intra-object relevance feedback is used to retrieve images from a database. The query is adjusted using the information fed-back by the user about the relevance of previously extracted part(s) from the object itself, such that the adjusted query is a better approximation to the user's perception. Since a single query image is utilized in the system according to the invention, high-performance learning techniques can be employed for this intra-object learning of user's perception. The refined query is subsequently used for intra-object relevance feedback where images are retrieved from the database based on parameters learnt by intra-image feedback mechanism, and the user provides feedback by ranking the retrieved objects in order of their relevance to him or her. In the system according to the invention, intra- object learning of user's perception is expedited by utilizing the learnt parameters in the intra-object relevance feedback. Furthermore, the methodology of the invention allows for building refined queries based on part(s) of the query object rather than the entire object itself, thereby reducing the number of irrelevant objects, retrieved from the database.
Aggarwal Gaurav
Dubey Pradeep K.
Ghosal Suqata
Kulshreshtha Ashutosh
Ravi Tumkur V. Rao
Bereskin & Parr Llp/s.e.n.c.r.l.,s.r.l.
International Business Machines Corporation
Ipg Healthcare 501 Limited
LandOfFree
An interactive framework for understanding user's perception... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with An interactive framework for understanding user's perception..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An interactive framework for understanding user's perception... will most certainly appreciate the feedback.
Profile ID: LFCA-PAI-O-1672649