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 …

With the massive expansion of videos on the internet, searching through millions of them
has become quite challenging. Smartphones, recording devices, and file sharing are all …

This paper proposes a new evaluation approach for video summarization algorithms. We
start by studying the currently established evaluation protocol; this protocol, defined over the …

Human activity detection and recognition is a challenging task. Video surveillance can
benefit greatly by advances in Internet of Things (IoT) and cloud computing. Artificial …

Video summarization is a timely and rapidly developing research field with broad
commercial interest, due to the increasing availability of massive video data. Relevant …

Because the data volume of news videos is increasing exponentially, a way to quickly
browse a sketch of the video is important in various applications, such as news media …

Video summarization has become more prominent during the last decade, due to the
massive amount of available digital video content. A video summarization algorithm is …

In recent times, there has been a significant amount of interest in video summary technology.
The reason behind video summarizing is to condense the information from the original video …

Storage, browsing and analysis of human activity videos can be significantly facilitated by
automated video summarization. Unsupervised key-frame extraction remains the most …

In this paper we propose a temporal segmentation and a keyframe selection method for
User-Generated Video (UGV). Since UGV is rarely structured in shots and usually user's …