  Multi-modal information is essential to describe what has happened in a
video. In this work, we represent videos by various appearance, motion and
audio information guided with video topic. By following multi-stage training
strategy, our experiments show steady and significant improvement on the VATEX
benchmark. This report presents an overview and comparative analysis of our
system designed for both Chinese and English tracks on VATEX Captioning
Challenge 2019.
