Image Retrieval 2.0
Filip Radenovic
(Center for Machine Perception, CTU Prague, Czech Republic)
Abstract:
In the talk, I will address the topic of image retrieval. In
particular, I will focus on retrieval methods based on bag of words
image representation that exploit geometric constrains. Novel
formulations of image retrieval problem will be discussed, showing that
the classical ranking of images based on similarity addresses only one
of possible user requirements. Retrieval methods efficiently solving
the new formulations by exploiting geometric constraints will be used
in different scenarios. These include online browsing of image
collections, image analysis based on large collections of photographs,
or model construction.
For online browsing, I will show queries that try to answer question
such as: "What is this?" (zoom in at a detail), "Where is that?"
(zoom-out to larger visual context), or "What is to the left / right of
this?". For image analysis, two novel problems straddling the boundary
between image retrieval and data mining are formulated: for every pixel
in the query image, (i) find the database image with the maximum
resolution depicting the pixel and (ii) find the frequency with which
it is photographed in detail.