Paper Abstract We present a method to analyze images taken from a passive egocentric wearable camera along with contextual information, such as time and day of the week, to learn and predict the everyday activities of an individual. We collected a dataset of 40,103 egocentric images over 6 months with 19 activity classes and demonstrate […]
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, Visual Computing Center (VCC) Invited Speakers included This event was hosted by the Visual Computing Center (Wolfgang Heidrich, Bernard Ghanem, Ganesh Sundaramoorthi). Daniel Castro also attended and presented a poster at the meeting.
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"
Abstract In this talk, I will start by describing the pervasiveness of image and video content and how such content is growing with the ubiquity of cameras. I will use this to motivate the need for better tools for the analysis and enhancement of video content. I will start with some of our earlier work […]
Paper in ACM Ubicomp 2013 "Technological approaches for addressing privacy concerns when recognizing eating behaviors with wearable cameras"
[bibtex file=IrfanEssaWS.bib key=2013-Thomaz-TAAPCWREBWWC] 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 […]
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 […]