  Significant development of communication technology over the past few years
has motivated research in multi-modal summarization techniques. A majority of
the previous works on multi-modal summarization focus on text and images. In
this paper, we propose a novel extractive multi-objective optimization based
model to produce a multi-modal summary containing text, images, and videos.
Important objectives such as intra-modality salience, cross-modal redundancy
and cross-modal similarity are optimized simultaneously in a multi-objective
optimization framework to produce effective multi-modal output. The proposed
model has been evaluated separately for different modalities, and has been
found to perform better than state-of-the-art approaches.
