Generative & discriminative models for classifying social images on the MICC-Flickr101 dataset

Combining Generative and Discriminative Models for Classifying Social Images from 101 Object Categories” has been accepted at ICPR’12. We use a hybrid generative-discriminative approach (LDA + SVM with non-linear kernels) over several visual descriptors (SIFT, GIST, colorSIFT).

We also present a novel dataset, called MICC-Flickr101, based on the popular Caltech 101 and collected from Flickr. This new collection was conceived with the idea of cloning a reference datasets as Caltech 101, but using realistic representations and also textual descriptions.