Summary: | The purpose of this work is to discuss possible methods to retrieve a frame in a source
video sequence starting from a given image query (for example, a screen shot of a movie
scene). In order to do that, we develop and test different approaches that rely on SIFT
local descriptors. First, we briefly recall the SIFT algorithm and propose a
straightforward way to use it in order to find a few candidate frames which are similar to
the query image. Then, we propose an improvement of this method by focusing on the moving
regions to filter out the irrelevant features. Finally, we formulate a different way to
detect the right candidate using a geometric approach that accounts for the relative
position of the points of interest.
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