Class-dependent and cross-modal memory network considering sentimental features for video-based captioning

Class-dependent and cross-modal memory network considering sentimental features for video-based captioning

Blog Article

The video-based commonsense captioning task aims to add multiple commonsense descriptions to video captions to understand video content better.This paper Stationary aims to consider the importance of cross-modal mapping.We propose a combined framework called Class-dependent and Cross-modal Memory Network considering SENtimental features (CCMN-SEN) for Video-based Captioning to enhance commonsense caption generation.Firstly, we develop class-dependent memory for recording the alignment between video features and text.It only allows cross-modal interactions Bucket Hat and generation on cross-modal matrices that share the same labels.

Then, to understand the sentiments conveyed in the videos and generate accurate captions, we add sentiment features to facilitate commonsense caption generation.Experiment results demonstrate that our proposed CCMN-SEN significantly outperforms the state-of-the-art methods.These results have practical significance for understanding video content better.