Generating Natural Language Summaries for Multimedia

Abstract

In this paper we introduce an automatic system that generates textual summaries of Internet-style video clips by first identifying suitable high-level descriptive features that have been detected in the video (e.g. visual concepts, recognized speech, actions, objects, persons, etc.). Then a natural language generator is constructed using SimpleNLG to… (More)

Topics

2 Figures and Tables

Cite this paper

@inproceedings{Ding2012GeneratingNL, title={Generating Natural Language Summaries for Multimedia}, author={Duo Ding and Florian Metze and Shourabh Rawat and Peter F. Schulam and Susanne Burger}, booktitle={INLG}, year={2012} }