Technical Report for Soccernet 2023 -- Dense Video Captioning
Zheng Ruan, Ruixuan Liu, Shimin Chen, Mengying Zhou, Xinquan Yang, Wei Li, Chen Chen, Wei Shen
TL;DR
In the task of dense video captioning of Soccernet dataset, Blip is applied as a video caption framework to generate video captions and the timestamp of the caption is located by using multi-size sliding windows and temporal proposal generation.
Abstract
In the task of dense video captioning of Soccernet dataset, we propose to generate a video caption of each soccer action and locate the timestamp of the caption. Firstly, we apply Blip as our video caption framework to generate video captions. Then we locate the timestamp by using (1) multi-size sliding windows (2) temporal proposal generation and (3) proposal classification.