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, with the target to detect valuable segments given untrimmed videos, is
a meaningful yet understudied topic. Previous methods primarily consider inter-frame and …

Video summarization is one of the critical techniques in video retrieval, video browsing, and
management. It is still a challenging research task due to user subjectivity, excessive …

This paper proposes a novel lightweight thumbnail container-based summarization (LTC-
SUM) framework for full feature-length videos. This framework generates a personalized …

We introduce multimodal story summarization by leveraging TV episode recaps-short video
sequences interweaving key story moments from previous episodes to bring viewers up to …

Video Summarization (VS) has become one of the most effective solutions for quickly
understanding a large volume of video data. Dictionary selection with self representation …

Multimodal summarisation with multimodal output is drawing increasing attention due to the
rapid growth of multimedia data. While several methods have been proposed to summarise …

Keyframe extraction can effectively help users quickly understand video content. Generally,
keyframes should be representative of the video content and simultaneously be diverse to …

Dictionary learning methods have been extensively used in different types of image and
signal processing tasks. In a number of applications, the collected data/signal may have a …

Video summarization (VS) technology presents a multi-tendency development. However,
there are still certain challenges in shortening a long video into several diverse and concise …