Visual Features Selection

Giuseppe Amato, Fabrizio Falchi, Claudio Gennaro
2013 Italian Information Retrieval Workshop  
The state-of-the-art algorithms for large visual content recognition and content based similarity search today use the "Bag of Features" (BoF) or "Bag of Words" (BoW) approach. The idea, borrowed from text retrieval, enables the use of inverted files. A very well known issue with the BoF approach is that the query images, as well as the stored data, are described with thousands of words. This poses obvious efficiency problems when using inverted files to perform efficient image matching. In
more » ... paper, we propose and compare various techniques to reduce the number of words describing an image to improve efficiency.
dblp:conf/iir/AmatoFG13 fatcat:pjwdmgiapfepnj7fu6nnkl3onm