Title :
Fast approximate kernel-based similarity search for image retrieval task
Author :
Gorisse, David ; Cord, Matthieu ; Precioso, Frederic ; Philipp-foliguet, Sylvie
Author_Institution :
CNRS, Univ Cergy-Pontoise, Pontoise, France
Abstract :
In content based image retrieval, the success of any distance-based indexing scheme depends critically on the quality of the chosen distance metric. We propose in this paper a kernel-based similarity approach working on sets of vectors to represent images. We introduce a method for fast approximate similarity search in large image databases with our kernel-based similarity metric. We evaluate our algorithm on image retrieval task and show it to be accurate and faster than linear scanning.
Keywords :
image representation; image retrieval; visual databases; content based image retrieval; distance-based indexing scheme; fast approximate kernel-based similarity search; image representation; large image database; Bismuth; Computer vision; Content based retrieval; Image databases; Image retrieval; Indexing; Information retrieval; Kernel; Vectors; Voting;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761225