Deep reinforcement learning augments the reinforcement learning framework and utilizes
the powerful representation of deep neural networks. Recent works have demonstrated the …

Deep reinforcement learning (DRL) augments the reinforcement learning framework, which
learns a sequence of actions that maximizes the expected reward, with the representative …

Video summarization technologies aim to create a concise and complete synopsis by
selecting the most informative parts of the video content. Several approaches have been …

Deep-learning (DL) algorithms are becoming the standard for processing ultrasound (US)
fetal images. A number of survey papers in the field is today available, but most of them are …

One of the critical multimedia analysis problems in today's digital world is video
summarization (VS). Many VS methods have been suggested based on deep learning …

Intelligent video summarization algorithms allow to quickly convey the most relevant
information in videos through the identification of the most essential and explanatory content …

Ultrasound (US) plays a vital role in breast cancer screening, especially for women with
dense breasts. Common practice requires a sonographer to recognize key diagnostic …

There is an abundance of digital video content due to the cloud's phenomenal growth and
security footage; it is therefore essential to summarize these videos in data centers. This …

It is known that changes in the mechanical properties of tissues are associated with the
onset and progression of certain diseases. Ultrasound elastography is a technique to …

Detecting surgical tools is an essential task for analyzing and evaluating surgical videos.
However, most studies focus on minimally invasive surgery (MIS) and cataract surgery …