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 requires
a user-friendly access to information. This leads to the evolution of the research area known as video
summarization. The effective techniques of video summarization, the videos have let to analyze the
content of large volumes of digital video sequences in various categories, such as surveillance, documentaries,
movies, sports, lectures, and news. In video summarization, the automatic selection of
necessary and informative section from videos using accurate algorithms is essential. The keyframe
extraction in video summarization is intended to suffice comprehensive analysis of video by eliminating
replications and extraction of keyframes from the video.
Methods: Recent keyframe extraction techniques like clustering, shot, visual content based
keyframe extraction methods are discussed for effective keyframe extraction.
Results: First an introduction of various techniques for keyframe extraction pursued by the state-ofthe-
art review on their properties. Although we have outlined some ideas for effective evaluation of
video keyframes, the analytical evaluation of various keyframe extraction techniques is discussed
and the approaches based on the methods, dataset and the results are compared.
Conclusion: In the recent years, the use of digital video data has been increasing significantly due to
the extensive use of multimedia applications in the areas of education, entertainment, business. So
the video has received an incredible attention and research interest in video processing. The use of
keyframe extraction has been given incredible attention, in this work, we have carried out a comprehensive
survey and review of the research in keyframe extraction techniques. We believe the review
paper will provide an update for the reader regarding the progress of keyframe extraction by different
keyframe extraction techniques.