  There is amazing progress in Deep Learning based models for Image captioning
and Low Light image enhancement. For the first time in literature, this paper
develops a Deep Learning model that translates night scenes to sentences,
opening new possibilities for AI applications in the safety of visually
impaired women. Inspired by Image Captioning and Visual Question Answering, a
novel Interactive Image Captioning is developed. A user can make the AI focus
on any chosen person of interest by influencing the attention scoring.
Attention context vectors are computed from CNN feature vectors and
user-provided start word. The Encoder-Attention-Decoder neural network learns
to produce captions from low brightness images. This paper demonstrates how
women safety can be enabled by researching a novel AI capability in the
Interactive Vision-Language model for perception of the environment in the
night.
