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 …

This paper presents a new method for supervised video summarization. To overcome
drawbacks of existing RNN-based summarization architectures, that relate to the modeling …

In this work, we describe a new method for unsupervised video summarization. To overcome
limitations of existing unsupervised video summarization approaches, that relate to the …

Video summarization is the process of selecting a subset of informative keyframes to
expedite storytelling with limited loss of information. In this article, we propose an EEG-Video …

Video summarization attempts to create concise and complete synopsis of a video through
identifying the most informative and explanatory parts while removing redundant video …

This paper presents a new method for unsupervised video thumbnail selection. The
developed network architecture selects video thumbnails based on two criteria: the …

With the broad growth of video capturing devices and applications on the web, it is more
demanding to provide desired video content for users efficiently. Video summarization …

With the increasing of ubiquitous devices with cameras, video content is widely produced in
the industry. Automation video summarization allows content consumers effectively retrieve …

As the number of video content has mushroomed in recent years, automatic video
summarization has come useful when we want to just peek at the content of the video …

Summarizing a video requires a diverse understanding of the video, ranging from
recognizing scenes to evaluating how much each frame is essential enough to be selected …