PROBLEM TO BE SOLVED: To provide a system and method for providing object localization in a query image based on a global representation of the image generated with a model derived from a convolutional neural network.SOLUTION: Representations of annotated images and a query image are each generated based on activation functions output by a layer of the model which precedes the fully-connected layers of the neural network. A similarity is computed between the query image representation and each of the annotated image representations to identify a subset of the annotated images having the highest computed similarity. Object location information from at least one of the subset of annotated images is transferred to the query image and information is output, based on the transferred object location information.SELECTED DRAWING: Figure 2
SIMILARITY-BASED DETECTION OF PROMINENT OBJECTS USING DEEP CNN POOLING LAYERS AS FEATURES