G404_001.mp4 -


The Channel Editor for SAMSUNG Televisions.

OR Load Demo

G404_001.mp4 -

The "g404" prefix typically refers to a specific subject or session ID within the dataset's structured folder system. Why this paper is relevant

Researchers use this specific paper to understand how (where the person is looking) can be used to improve the accuracy of recognizing complex, long-term actions. If you are working with this file for a project, you likely need to cite this paper for the dataset's methodology and baseline results. g404_001.mp4

by Fathi, A., Li, Y., & Rehg, J. M., published in the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) . Key Details about the Dataset The "g404" prefix typically refers to a specific

The video is part of the GTEA Gaze+ Dataset hosted by the Georgia Institute of Technology. by Fathi, A

The dataset consists of first-person videos of subjects performing meal preparation tasks (e.g., making a sandwich, tea, or coffee) while wearing a head-mounted camera and eye-tracker.

The "proper" or seminal paper associated with this dataset and its specific video naming convention is:

G404_001.mp4 -

K

K-Series

J

J-Series

H

H-Series

F

F-Series

E

E-Series

D

D-Series

G404_001.mp4 -

Do you want to get some impressions of SamyCHAN in action? Here are some screens.

  • g404_001.mp4
  • g404_001.mp4

The "g404" prefix typically refers to a specific subject or session ID within the dataset's structured folder system. Why this paper is relevant

Researchers use this specific paper to understand how (where the person is looking) can be used to improve the accuracy of recognizing complex, long-term actions. If you are working with this file for a project, you likely need to cite this paper for the dataset's methodology and baseline results.

by Fathi, A., Li, Y., & Rehg, J. M., published in the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) . Key Details about the Dataset

The video is part of the GTEA Gaze+ Dataset hosted by the Georgia Institute of Technology.

The dataset consists of first-person videos of subjects performing meal preparation tasks (e.g., making a sandwich, tea, or coffee) while wearing a head-mounted camera and eye-tracker.

The "proper" or seminal paper associated with this dataset and its specific video naming convention is: