Paper Abstract We present a method to analyze images taken from a passive egocentric wearable camera along with the contextual information, such as time and day of a week, to learn and predict everyday activities of an individual. We collected a dataset of 40,103 egocentric images over a 6 month period with 19 activity classes […]
In fall 2015 fall term, I am teaching two classes. Both for the Georgia Tech’s Online MSCS program. CS 6475: Computational Photography CS 6476: Computer Vision (This class was originally developed and offered by Aaron Bobick, but as he is now a Dean at Washington University, St. Louis, I have taken over as Instructor.
I was invited to participate and present at the King Abdullah University of Science & Technology Conference on Computational Imaging and Vision (CIV) March 1-4, 2015 Building 19 Level 3, Lecture Halls Visual Computing Center (VCC) Invited Speakers included Shree Nayar – Columbia University Daniel Cremers – Technical University of Munich Rene Vidal –The Johns […]
Today, the Inaugural Offering of the Computational Photography (CS 6475) was launched for the Georgia Tech’s Online MSCS Program using the Udacity platform. Course Description CS 6475* (3-0-3): Computational Photography – (Instructor: Irfan Essa) – This class explores how computation impacts the entire workflow of photography, which is traditionally aimed at capturing light from a (3D) scene to […]
William Mong Distinguished Lecture at the University of Hong Kong on "Video Cameras are Everywhere: Data-Driven Methods for Video Analysis and Enhancement"
Video Cameras are Everywhere: Data-Driven Methods for Video Analysis and Enhancement Irfan Essa (prof.irfanessa.com) Georgia Institute of Technology School of Interactive Computing GVU and RIM @ GT Centers Abstract In this talk, I will start with describing the pervasiveness of image and video content, and how such content is growing with the ubiquity of cameras. […]
Paper in ACM Ubicomp 2013 "Technological approaches for addressing privacy concerns when recognizing eating behaviors with wearable cameras"
Abstract First-person point-of-view (FPPOV) images taken by wearable cameras can be used to better understand people’s eating habits. Human computation is a way to provide effective analysis of FPPOV images in cases where algorithmic approaches currently fail. However, privacy is a serious concern. We provide a framework, the privacy-saliency matrix, for understanding the balance between […]
Teaching at the ICVSS 2013, in Calabria, Italy, July 2013 (Programme) Computational Video: Post-processing Methods for Stabilization, Retargeting and Segmentation Irfan Essa (This work in collaboration with Matthias Grundmann, Daniel Castro, Vivek Kwatra, Mei Han, S. Hussian Raza). Abstract We address a variety of challenges for analysis and enhancement of Computational Video. We present novel […]
Presentation at Google I/0 2013 by Matthias Grundmann, John Gregg, and Vivek Kwatra on our Video Stabilizer on YouTube Video stabilization is a key component of YouTubes video enhancement tools and youtube.com/editor. All YouTube uploads are automatically detected for shakiness and suggested stabilization if needed. This talk will describe the technical details behind our fully […]
I am here in Barcelona for my 4th summer, participating in the Georgia Tech, College of Computing’s International Study Abroad Programs in Barcelona, ESP. Teaching two classes and spending time with 64 student participants, 4 teaching assistants, and 6 faculty from GA Tech. Spending time with Faculty at Facultat d’Informàtica de Barcelona – UPC, our hosts […]