Abstract Video-Text Retrieval (VTR) aims to search for the most relevant video related to the
semantics in a given sentence, and vice versa. In general, this retrieval task is composed of …

RGB-induced salient object detection has recently witnessed substantial progress, which is
attributed to the superior feature learning capability of deep convolutional neural networks …

Detecting anomalies in videos is a fundamental issue in public security. The majority of
existing deep learning methods often perform anomaly detection based on the behavior or …

Hashing methods have captured much attention for cross-modal retrieval in recent years.
Most existing approaches mainly focus on preserving the semantic similarity across …

With a large number of video surveillance systems installed for the requirement from
industrial security, the task of object tracking, which aims to locate objects of interest in …

The deep hashing based retrieval method is widely adopted in large-scale image and video
retrieval. However, there is little investigation on its security. In this paper, we propose a …

Despite the fact that automatic content analysis has made remarkable progress over the last
decade-mainly due to significant advances in machine learning-interactive video retrieval is …

The gap in data distribution motivates domain adaptation research. In this area, image
classification intrinsically requires the source and target features to be co-located if they are …

The exponential growth in the production of video contents in different industries causes an
urgent need for effective video summarization (VS) techniques, in order to get an optimal …

Integration of multi-level contextual information, such as feature maps and side outputs, is
crucial for Convolutional Neural Networks (CNNs)-based salient object detection. However …