International Journal of Multimedia Information Retrieval

This paper proposed a new approach for the extraction of tags from users’ comments made about videos. In fact, videos on the social media, like Facebook and YouTube, are usually accompanied by comments where users may give opinions about things …

Cross-modal retrieval requires the retrieval from image to text and vice versa. Most existing methods leverage attention mechanism to explore advanced encoding network and utilize the ranking losses to reduce modal gap. Although these methods have …

Pedestrian detection is one of the most challenging research areas in computer vision, as it involves classifying the image and localizing the pedestrian. Its applications, especially in automated surveillance and robotics, are exceedingly …

This paper proposes a novel deep learning model called deep multi-scale network (DMSN) for background subtraction. This convolutional neural network is built to use RGB color channels and Depth maps as inputs with which it can fuse semantic and …

In most Music Emotion Recognition (MER) tasks, researchers tend to use supervised learning models based on music features and corresponding annotation. However, few researchers have considered applying unsupervised learning approaches to labeled …