A novel indexing approach for multimedia image databases
This paper proposes an algorithm for content-based image indexing whose formulation of similarity is borrowed from methods for fractal compression. Unlike most traditional block-based image indexing algorithms, the proposed method employs dynamic programming to exploit inter-block dependencies. A regularization constraint is globally imposed, and the overall optimal transformation relating two images is efficiently determined by application of the Viterbi algorithm. Preliminary experimental results on a sample of eighty binary images from the MPEG-7 database are presented.