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 …

In this work, we describe a new method for unsupervised video summarization. To overcome
limitations of existing unsupervised video summarization approaches, that relate to the …

One of the critical multimedia analysis problems in today's digital world is video
summarization (VS). Many VS methods have been suggested based on deep learning …

This paper presents a new method for supervised video summarization. To overcome
drawbacks of existing RNN-based summarization architectures, that relate to the modeling …

Video summarization shortens a lengthy video into a succinct version, whose challenges
mainly originate from the difficulties of discovering the inherent relations between the …

This paper presents a video summarization technique for an Internet video to provide a
quick way to overview its content. This is a challenging problem because finding important …

The goal of video summarization is to distill a raw video into a more compact form without
losing much semantic information. However, previous methods mainly consider the diversity …

This paper addresses the problem of supervised video summarization by formulating it as a
sequence-to-sequence learning problem, where the input is a sequence of original video …

In this paper, we propose a Detect-to-Summarize network (DSNet) framework for supervised
video summarization. Our DSNet contains anchor-based and anchor-free counterparts. The …

This article studies supervised video summarization by formulating it into a sequence-to-
sequence learning framework, in which the input and output are sequences of original video …