On SVD-free latent semantic indexing for image retrieval for application in a hard industrial environment

Retrieval system based on latent semantic indexing (LSI) is presented in our paper. LSI is usually based on single value decomposition, which is time-consuming computation. New, fast algorithm for computing the LSI was developed. The algorithm was tested on text and image data collection. Experimental results are given. The algorithms are intended for practical industrial use within a control and information system operating at coking plant at Nova hut Ostrava. The description of the industrial environment is given.