Project

Social Event Detection

The aim of this work is to classify images related to the corresponding social event. With advances in digital image processing, automated classification of event related images over large categories of dataset is possible by knowing the name of the event. The purpose of the paper is to identify different events in a given set of images with the help of visual content. We compare the performance of Global (GIST) as well as Local Descriptors (SIFT) which is helpful in achieving this classification and retrieval of images to its class. We assess the performances of both the approaches.

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