Lior Wolf

Image Annotation using Deep Learning and Fisher Vectors

We present a system for solving the holy grail of computer vision -- matching images and text and describing an image by an automatically generated text. Our system is based on combining deep learning tools for images and text, namely Convolutional Neural Networks, word2vec, and Recurrent Neural Networks, together with a classical computer vision tool, the Fisher Vector. The Fisher Vector is modified to support hybrid distributions that are a better fit natural language processing. Our method proves to be extremely potent and we outperform by a significant margin all concurrent methods.

