Abstract: Systems and methods for identifying trends in image data using image classification is disclosed. An image is processed to detect an object in the image by performing foreground detection on the image. The object is classified in accordance with an object category, and one or more attributes of the object are determined. A visual token is generated that comprises information including the object category and the one or more attributes of the object. A trend is identified in at least one of the object and an attribute of the object by analyzing a database storing a plurality of visual tokens.

Abstract: A method for resolving out of stock products in online shopping using image classification is disclosed. Product images are processed to determine feature descriptors to generate object classifiers to associated image similarities. A product is determined to be unavailable from a retailer. The product identifier is then provided to a hierarchical database containing indexed product images to determine therefrom other products whose images have classified similarities to images of the product. Similar products can then be presented to the user based upon their visual characteristics providing an improved product correlation.