# Beyond Caption To Narrative: Video Captioning With Multiple Sentences

arXiv: https://arxiv.org/abs/1605.05440 · HTML: https://mlsanity.com/paper/1605.05440/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 May 2016.

## Built on by (most cited first, 4 of 4)

- [A Review of Deep Learning for Video Captioning](https://mlsanity.com/paper/2304.11431/) (2023)
- [MICap: A Unified Model for Identity-aware Movie Descriptions](https://mlsanity.com/paper/2405.11483/) (2024)
- [From Vision To Language through Graph of Events in Space and Time: An Explainable Self-supervised Approach](https://mlsanity.com/paper/2507.04815/) (2025)
- [Video Captioning: a comparative review of where we are and which could be the route](https://mlsanity.com/paper/2204.05976/) (2022)

## Abstract (arXiv)

Recent advances in image captioning task have led to increasing interests in video captioning task. However, most works on video captioning are focused on generating single input of aggregated features, which hardly deviates from image captioning process and does not fully take advantage of dynamic contents present in videos. We attempt to generate video captions that convey richer contents by temporally segmenting the video with action localization, generating multiple captions from multiple frames, and connecting them with natural language processing techniques, in order to generate a story-like caption. We show that our proposed method can generate captions that are richer in contents and can compete with state-of-the-art method without explicitly using video-level features as input.