CSAIL Event Calendar: Previous Series
Learning a Compact Image Code for Efficient Recognition of Novel Classes
Speaker: Lorenzo Torresani , Visual Learning Group, Dartmouth College
Relevant URL: http://cbcl.mit.edu/
In this talk I will discuss methods enabling efficient object-class recognition in large image collections. We are specifically interested in scenarios where the classes to be recognized are not known in advance. The motivating application is "object-class search by example" where a user provides at query time a small set of training images defining an arbitrary novel category and the system must retrieve images belonging to this class from a large database. This application scenario poses challenging requirements on the system design: the object classifier must be learned efficiently at query time from few examples; recognition must have low computational cost with respect to the database size; finally, compact image descriptors must be used to allow storage of large collections in memory.