In recent years, video surveillance technology has become ubiquitous in every sphere of our
life. But automated video surveillance generates huge quantities of data, which ultimately …

Video summarization is the process to extract the most significant contents of a video and to
represent it in a concise form. The existing methods for video summarization could not …

Video summarization deals with the generation of a condensed version of the original video
by including meaningful frames or segments while eliminating redundant information. The …

Within user-created videos, the constantly changing content among neighboring images
brings more challenge for the prior video summarization methods. Assuming the images' …

End-to-end Long Short-Term Memory (LSTM) has been successfully applied to video
summarization. However, the weakness of the LSTM model, poor generalization with …

Existing methods for video summarization fails to achieve a satisfactory result for a video
with camera movement, low contrast, and significant illumination changes. To solve these …

Video summarization is the process to extract the most significant contents of a video and to
represent it in a concise form so that a user can understand about all the important events of …

Video summarization is a process to extract objects and their activities from a video and
represent them in a condensed form. Existing methods for video summarization fail to detect …

The computational resources required by video processing tasks in human activity
recognition (HAR) applications can be reduced if the input data is limited to only those …

Video summarization is the process to extract informative events of a video and represent in
the condensed form. The paper proposes a new method for extracting important contents of …