William Mong Distinguished Lecture at the University of Hong Kong on “Video Cameras are Everywhere: Data-Driven Methods for Video Analysis and Enhancement”

Thursday, December 11th, 2014 Posted in Computational Photography and Video, Computer Vision, Presentations | No Comments »

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 ... Read more..

Computation + Journalism Symposium 2014

Saturday, October 25th, 2014 Posted in Computational Journalism, Events, Nick Diakopoulos | No Comments »

Hosted the 3rd Computation + Journalism Symposium 2014 at The Brown Institute for Media Innovation in the Pulitzer Hall, Columbia University, New York, NY, USA, on October 24-25. It was a huge ... Read more..

Paper in M2CAI 2014: “Video Based Assessment of OSATS Using Sequential Motion Textures”

Sunday, September 14th, 2014 Posted in Activity Recognition, Behavioral Imaging, Computer Vision, Medical, MICCAI, Papers, Thomas Ploetz, Vinay Bettadapura, Yachna Sharma | No Comments »

Paper [bibtex file=IrfanEssaWS.bib key=2014-Sharma-VBAOUSMT] Abstract A fully automated framework for video-based surgical skill assessment is presented that incorporates the sequential and qualitative aspects of surgical motion in a data-driven manner. The Objective Structured ... Read more..

Paper in BMCV (2014): “Depth Extraction from Videos Using Geometric Context and Occlusion Boundaries”

Friday, September 5th, 2014 Posted in Computational Photography and Video, PAMI/ICCV/CVPR/ECCV, S. Hussain Raza | No Comments »

[bibtex file=IrfanEssaWS.bib key=2014-Raza-DEFVUGCOBDEFVUGCOB] We present an algorithm to estimate depth in dynamic video scenes.We present an algorithm to estimate depth in dynamic video scenes. We propose to learn and infer depth in ... Read more..

Paper in CVPR 2014 “Efficient Hierarchical Graph-Based Segmentation of RGBD Videos”

Sunday, June 22nd, 2014 Posted in Computer Vision, Henrik Christensen, Papers, Steven Hickson | No Comments »

[bibtex file=IrfanEssaWS.bib key=2014-Hickson-EHGSRV] Abstract We present an efficient and scalable algorithm for seg- menting 3D RGBD point clouds by combining depth, color, and temporal information using a multistage, hierarchical graph-based approach. Our ... Read more..