Video captioning (VC) is a fast-moving, cross-disciplinary area of research that comprises
contributions from domains such as computer vision, natural language processing …

What will the future be? We wonder! In this survey, we explore the gap between current
research in egocentric vision and the ever-anticipated future, where wearable computing …

The rapid expansion of video content across a variety of industries, including social media,
education, entertainment, and surveillance, has made video summarization an essential …

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 …

Our goal is to predict the camera wearer's location and pose in his/her environment based
on what's captured by the camera wearer's first-person wearable camera. Toward this goal …

Given a multi-view video, which viewpoint is most informative for a human observer?
Existing methods rely on heuristics or expensive``best-view" supervision to answer this …

We introduce Switch-a-View, a model that learns to automatically select the viewpoint to
display at each timepoint when creating a how-to video. The key insight of our approach is …

Quality of Experience (QoE) in multi-view streaming systems is known to be severely
affected by the latency associated with view-switching procedures. Anticipating the …

In many intelligent systems, a network of agents collaboratively perceives the environment
for better and more efficient situation awareness. As these agents often have limited …

The rapid growth of digital video content presents significant challenges in information
accessibility and consumption, creating a pressing need for efficient video summarization …