Visualization and Intelligent Systems Laboratory
VISLab

 

 

Contact Information

VISLab
Winston Chung Hall Room 216
University of California, Riverside
900 University Avenue
Riverside, CA 92521-0425


Tel: (951)-827-3954

CRIS
Bourns College of Engineering
UCR
NSF IGERT on Video Bioinformatics

UCR Collaborators:
CSE
ECE
ME
STAT
PSYC
ENTM
BIOL
BPSC
ECON
MATH
BIOENG
MGNT

Other Collaborators:
Keio University

Other Activities:
IEEE Biometrics Workshop 2014
IEEE Biometrics Workshop 2013
Worshop on DVSN 2009
Multibiometrics Book

Webmaster Contact Information:
Alex Shin
wshin@ece.ucr.edu

Last updated: July 1, 2017

 

 

Modeling Concept Learning Process for Image Retrieval

Presented by: Anlei Dong

ABSTRACT : Relevance feedback reduces the gap between low-level visual features and high-level human concepts in image retrieval. However, it is only the adaptation of feedback received from a single user in response to a query image. Exploiting previous retrieval experiences from multiple users further helps to learn visual concepts. Currently, this learning process is only empirical without a mathematical model. This paper proposes a statistical model consisting of overlapped clusters which are modeled as Gaussian density functions. Based on this model, we analyze how retrieval performance is improved with relevance feedback and retrieval experience. Both simulation and real data results support the theory.