Paper in IEEE CVPR 2012: “Detecting Regions of Interest in Dynamic Scenes with Camera Motions”

Saturday, June 16th, 2012 Posted in Activity Recognition, Kihwan Kim, Machine Learning, PAMI/ICCV/CVPR/ECCV, Papers, PERSEAS, Visual Surviellance | No Comments »

Detecting Regions of Interest in Dynamic Scenes with Camera Motions [bibtex file=IrfanEssaWS.bib key=2012-Kim-DRIDSWCM] Abstract We present a method to detect the regions of interests in moving camera views of dynamic scenes with multiple ... Read more..

Presentation at CVPR 2012 workshop on Large Scale Video Search and Mining “Extracting Content and Context from Video.”

Tuesday, June 5th, 2012 Posted in Activity Recognition, PAMI/ICCV/CVPR/ECCV | No Comments »

Extracting Content and Context from Video. (Presentation at CVPR 2012 workshop on Large Scale Video Search and Mining 2012, June 21, 2012) Irfan Essa GEORGIA Tech prof.irfanessa.com Abstract In this talk, I will describe various efforts ... Read more..

AT IWCV 2012: “Videos Understanding: Extracting Content and Context from Video.”

Thursday, May 24th, 2012 Posted in Activity Recognition, Computational Photography and Video, Presentations, Visual Surviellance | No Comments »

Videos Understanding: Extracting Content and Context from Video. (Presentation at the International Workshop on Computer Vision 2012, Ortigia, Siracusa, Sicily, May 22-24, 2012.) Irfan Essa GEORGIA Tech Abstract In this talk, I will describe various efforts ... Read more..

Video Stabilization on YouTube

Sunday, May 6th, 2012 Posted in Computational Photography and Video, Google, In The News, Matthias Grundmann, Vivek Kwatra | No Comments »

Here is an excerpt from a Google Research Blog on our Video Stabilization on YouTube.  Now even more improved. One thing we have been working on within Research at Google is ... Read more..

Paper in IEEE ICCP 2012: “Calibration-Free Rolling Shutter Removal”

Saturday, April 28th, 2012 Posted in Computational Photography and Video, Daniel Castro, ICCP, Matthias Grundmann, Vivek Kwatra | No Comments »

Calibration-Free Rolling Shutter Removal [bibtex file=IrfanEssaWS.bib key=2012-Grundmann-CRSR] Abstract We present a novel algorithm for efficient removal of rolling shutter distortions in uncalibrated streaming videos. Our proposed method is calibration free as it does ... Read more..

Award (2012): Best Computer Vision Paper Award by Google Research

Thursday, March 22nd, 2012 Posted in Computational Photography and Video, Matthias Grundmann, Papers, Vivek Kwatra | No Comments »

Our following paper was just awarded the Excellent Paper for 2011 in Computer Vision by Google Research. [bibtex file=IrfanEssaWS.bib key=2011-Grundmann-AVSWROCP] Casually shot videos captured by handheld or mobile cameras suffer from significant ... Read more..

Teaching: Spring 2012

Wednesday, January 11th, 2012 Posted in CnJ, Computational Journalism, Computational Photography and Video, DVFX | No Comments »

In Spring 2012, I am teaching 2 classes. Advanced Computational Photography (CS 8803 PHO) [with Grant Schindler] This is an advanced topics class in Computational Photography, building on my intro class and ... Read more..

Welcome 2012!

Sunday, January 1st, 2012 Posted in Interesting | No Comments »

Just a brief post to welcome in the new year and to wish all a very happy 2012.  2011 was a very busy and productive year in terms of research ... Read more..