The introduction of wearable video cameras (eg, GoPro) in the consumer market has
promoted video life-logging, motivating users to generate large amounts of video data. This …

Video Stabilization (VS) has been an active area of research in the last two decades. Many
approaches have been successfully proposed and it is time to take a step back and offer a …

This paper proposes a simple self-supervised approach for learning a representation for
visual correspondence from raw video. We cast correspondence as prediction of links in a …

This paper addresses the problem of unsupervised video summarization, formulated as
selecting a sparse subset of video frames that optimally represent the input video. Our key …

This paper addresses the problem of video summarization. Given an input video, the goal is
to select a subset of the frames to create a summary video that optimally captures the …

The emergence of wearable devices such as portable cameras and smart glasses makes it
possible to record life logging first-person videos. Browsing such long unstructured videos is …

In this paper, we address the problem of unsupervised video summarization that
automatically extracts key-shots from an input video. Specifically, we tackle two critical …

With the rapid growth of video data, video summarization technique plays a key role in
reducing people's efforts to explore the content of videos by generating concise but …

We present a method for retiming people in an ordinary, natural video--manipulating and
editing the time in which different motions of individuals in the video occur. We can …

In order to summarize a content video properly, it is important to grasp the sequential
structure of video as well as the long-term dependency between frames. The necessity of …