Abstract: To acknowledge the existence frequently appearing object is called Theme discovery. Discovering common objects that appear frequently in a no. of images is challenging problem, due to 1. The appearance variations of the same common object and 2. The enormous computational cost involved in exploring the huge solution space, pruning procedure is image as a collection of visual primitives and propose a novel bottom up approach to gradually prune local primitives to recover the whole common object. A multilayer candidate pruning procedure is designed to accelerate the image data mining process. By searching the subimage of the highest commonness score in each image, we can locate and crop the theme object required.

Keywords: Image Data mining, Theme object Discovery.