Background: The massive database of videos is growing day by day in this era. Analyzing
such huge data is always a time-consuming process. The effective use of video content …

Lots of approaches for automated video analysis have been suggested since the 1990ies,
which have the potential to support quantitative and qualitative analysis in film studies …

This paper introduces an algorithm for fast temporal segmentation of videos into shots. The
proposed method detects abrupt and gradual transitions, based on the visual similarity of …

One of the essential pre-processing steps of semantic video analysis is the video shot
boundary detection (SBD). It is the primary step to segment the sequence of video frames …

Due to the rapid growth of digital videos and the massive increase in video content, there is
an urgent need to develop efficient automatic video content analysis mechanisms for …

Video summarization techniques have allowed the content analysis of large volumes of
digital video sequences of different categories, such as movies, documentaries, lectures …

Video summarization is an integral component of video archiving systems. It provides small
versions of the videos that are suitable for enhancing browsing and navigation capabilities …

Shot boundary detection (SBD) is an important and fundamental step in video content
analysis such as content-based video indexing, browsing, and retrieval. In this paper, a …

Key frame extraction is very important in video summarization and content-based video
analysis to address the problem of data redundancy in a video. Key frame extraction …

Aim: Advancements in multimedia technology have facilitated the uploading and processing
of videos with substantial content. Automated tools and techniques help to manage vast …