Change Point Detection (CPD) methods identify the times associated with changes in the
trends and properties of time series data in order to describe the underlying behaviour of the …

Action segmentation is the task of predicting the actions for each frame of a video. As
obtaining the full annotation of videos for action segmentation is expensive, weakly …

Recently, there is an increasing interest in highlight detection research where the goal is to
create a short duration video from a longer video by extracting its interesting moments …

Object tracking is a well-studied problem in computer vision while identifying salient spots of
objects in a video is a less explored direction in the literature. Video eye gaze estimation …

Recent advances in deep learning have led to the creation of various methods for change-
point detection (CPD). These methods enhance the ability of CPD techniques to handle …

We address the task of recognizing the category of an ongoing human action from a video
stream. This task is challenging because of the need to output categorization decisions …

With the rapid increase of mobile devices and online media, more and more people prefer
posting/viewing videos online. Generally, these videos are presented on video streaming …

In this work, we address the problem of precisely localizing key frames of an action, for
example, the precise time that a pitcher releases a baseball, or the precise time that a crowd …

We present a domain-and user-preference-agnostic approach to detect highlightable
excerpts from human-centric videos. Our method works on the graph-based representation …

We propose a method to detect individualized highlights for users on given target videos
based on their preferred highlight clips marked on previous videos they have watched. Our …