Abstract: A method, apparatus and system for orienting a disoriented image, and a method, apparatus and system for training a plurality of Gaussian mixture models (GMMs) to orient the disoriented image are provided. The method of training the plurality of GMMs includes: obtaining a plurality of color and texture features from the disoriented image; selecting a plurality of discriminative features from the color and texture features; calculating probabilities of each of the GMMs orienting the disoriented image, where each of the GMMs represents one of a plurality of rotation classes, and each of the rotation classes represents a rotation angle that is a multiple of a right angle. Furthermore, the system includes an electronic device that includes an embedded platform including a processor which processes the disoriented image.

Abstract: A method and system for content based image categorization is provided. The method includes: identifying one or more regions of interest from a plurality of images, in which each image is associated with a category; extracting a plurality of pixels from the one or more regions of interest and determining a plurality of color values for the plurality of pixels; grouping the plurality of color values in a codebook corresponding to the respective category; indexing the plurality of pixels based on the plurality of color values; creating a classifier for the plurality of color values using a support vector machine.