Recent years have seen remarkable advances in visual understanding. However, how to
understand a story-based long video with artistic styles, eg movie, remains challenging. In …

The ability to distinguish between different movie scenes is critical for understanding the
storyline of a movie. However, accurately detecting movie scenes is often challenging as it …

Video indexing and retrieval have a wide spectrum of promising applications, motivating the
interest of researchers worldwide. This paper offers a tutorial and an overview of the …

Scene, as the crucial unit of storytelling in movies, contains complex activities of actors and
their interactions in a physical environment. Identifying the composition of scenes serves as …

With the widespread availability of video cameras, we are facing an ever-growing enormous
collection of unedited and unstructured video data. Due to lack of an automatic way to …

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 …

Video skimming, also known as dynamic video summarization, generates a temporally
abridged version of a given video. Skimming can be achieved by identifying significant …

Videos such as movies or TV episodes usually need to divide the long storyline into
cohesive units, ie, scenes, to facilitate the understanding of video semantics. The key …

In this paper, a novel approach to video temporal decomposition into semantic units, termed
scenes, is presented. In contrast to previous temporal segmentation approaches that employ …

Video indexing requires the efficient segmentation of video into scenes. The video is first
segmented into shots and a set of key-frames is extracted for each shot. Typical scene …