A Quasi-random Sampling Approach to Image Retrieval
In this paper, we present a novel approach to contentsbased image retrieval. The method hinges in the use of quasi-random sampling to retrieve those images in a database which are related to a query image provided by the user. Departing from random sampling theory, we make use of the EM algorithm so as to organize the images in the database into compact clusters that can then be used for stratified random sampling. For the purposes of retrieval, we use the similarity between the query and the...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of The 23rd AAAI Conference on Artificial Intelligence (AAAI-08)|
|01_Zhou_A_Quasi-random_Sampling_2008.pdf||276.47 kB||Adobe PDF||Request a copy|
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