Watching YouTube: Extraordinary Videos from Ordinary People

A System That Learns to Tag Videos by Watching Youtube

We present a system that automatically tags videos, i.e. detects high-level semantic concepts like objects or actions in them. To do so, our system does not rely on datasets manually annotated for research purposes. Instead, we propose to use videos from online portals like youtube.com as a novel source of training data, whereas tags provided by users during upload serve as ground truth annotat...

Happiness from Ordinary and Extraordinary Experiences

Tracking Objects in YouTube Videos

Object tracking is an area of active research in Computer Vision. Tracking is a challenging problem, fundamentally due to the loss of information caused by the projection of a 3D scene on a 2D image. In this project, we are interested in tracking objects in YouTube videos, which are very diverse and have high variation in terms of changes in illumination, scale of objects, viewpoint, intra clas...

New Ideas: Ordinary is Extraordinary

With the initial issue of this journal, a new challenge has been offered to the world of sports nutrition: initiate "team oriented" research and clinical trials in order to make dynamic progress in terms of understanding and applying nutrition principals to the field of competitive sports. It is our further challenge that these teams think "outside the box" in terms of their approach to elucida...

People in videos from people in pictures

We propose an appearance based model for face recognition in news videos using an enormously large databank of still images. This is a step towards building an elaborate face-query system using multimodal audio-visual data. We use the fact that faces of the same person appear similar than of different people. We preprocess the videos, apply feature extraction, feature matching and a unique para...