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 …

Although video summarization has achieved tremendous success benefiting from Recurrent
Neural Networks (RNN), RNN-based methods neglect the global dependencies and multi …

This book revolves around the question of designing a matrix D∈ Rm× n called dictionary,
such that to obtain good sparse representations y≈ Dx for a class of signals y∈ Rm given …

Video summarization is the technique to condense large-scale videos into summaries
composed of key-frames or key-shots so that the viewers can browse the video content …

The explosive growth of video data has raised new challenges for many video processing
tasks such as video browsing and retrieval, hence, effective and efficient video …

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 …

Video contents are inherently heterogeneous. To exploit different feature modalities in a
diverse video collection for video summarization, we propose to formulate the task as a multi …

To achieve the better navigation performance of a mobile robot in the unknown
environments, a novel human-robot hybrid system incorporating a motor-imagery (MI)-based …

In this paper, an integrated framework consisting of the sensing, navigation and control is
proposed for an autonomous mobile manipulator driven by series elastic actuators (SEAs) to …

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 …