The explosive growth of video data has raised new challenges for many video processing
tasks such as video browsing and retrieval, hence, effective and efficient video …

Video summarization (VS) is generally formulated as a subset selection problem where a set
of representative keyframes or key segments is selected from an entire video frame set …

In recent years, sparse representation has been successfully utilized for video
summarization (VS). However, most of the sparse representation based VS methods …

The rapid growth of video data demands both effective and efficient video summarization
methods so that users are empowered to quickly browse and comprehend a large amount of …

The ever increasing volume of video content has created profound challenges for
developing efficient video summarization (VS) techniques to access the data. Recent …

Keyframe selection is a common way to summarize video contents. However, delimiting shot
boundaries to extract a representative keyframe from each shot is not trivial as most shot …

The rapid growth of consumer videos requires an effective and efficient content
summarization method to provide a user-friendly way to manage and browse the huge …

Online videos have been growing explosively in recent years. How to help human users
efficiently browse videos becomes more and more important. Video summarization can …

Recently, dictionary learning methods for unsupervised video summarization have
surpassed traditional video frame clustering approaches. This paper addresses static …

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 …