Parallelized Algorithms for Finding Similar Images and Object Recognition

The paper addresses the issue of searching for similar images and objects in a repository of information. The contained images are annotated with the help of the sparse descriptors. In the presented research, different color and edge histogram descriptors were used. To measure similarities among images, various color descriptors are compared. For this purpose different distance measures were employed. In order to decrease execution time, several code optimization and parallelization methods are proposed. Results of these experiments, as well as discussion of the advantages and limitations of different combinations of methods are presented.