Sparsity Based Image Retrieval using relevance feedback

Osman Gunay, A. Enis Cetin
2012 2012 19th IEEE International Conference on Image Processing  
In this paper, a Content Based Image Retrieval (CBIR) algorithm employing relevance feedback is developed. After each round of user feedback Biased Discriminant Analysis (BDA) is utilized to find a transformation that best separates the positive samples from negative samples. The algorithm determines a sparse set of eigenvectors by L1 based optimization of the generalized eigenvalue problem arising in BDA for each feedback round. In this way, a transformation matrix is constructed using the
more » ... se set of eigenvectors and a new feature space is formed by projecting the current features using the transformation matrix. Transformations developed using the sparse signal processing method provide better CBIR results and computational efficiency. Experimental results are presented.
doi:10.1109/icip.2012.6467382 dblp:conf/icip/GunayC12 fatcat:cruuaqfcdvfhti3gcp7c6l2ukq