Video summarization technologies aim to create a concise and complete synopsis by
selecting the most informative parts of the video content. Several approaches have been …

Video summarization (VSUMM) has become a popular method in processing massive video
data. The key point of VSUMM is to select the key frames to represent the effective contents …

There has been an unrestrained growth of videos on the Internet due to proliferation of
multimedia devices. These videos are mostly stored in unstructured repositories which pose …

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 …

The huge amount of video data on the internet requires efficient video browsing and retrieval
strategies. One of the viable solutions is to provide summaries of the videos in the form of …

Key frames are playing a very important role for many video applications, such as on-line
movie preview and video information retrieval. Although a number of key frame selection …

Video processing and analysis have become an urgent task, as a huge amount of videos
(eg, YouTube, Hulu) are uploaded online every day. The extraction of representative key …

Audio and vision are two main modalities in video data. Multimodal learning, especially for
audiovisual learning, has drawn considerable attention recently, which can boost the …

In this paper we present our work on improving the efficiency of adversarial training for
unsupervised video summarization. Our starting point is the SUM-GAN model, which creates …

Summarization of videos for different applications like video object recognition and
classification, video retrieval and archival and surveillance is an active research area in …