Abstract We present a novel approach for robust localization of multiple people observed using a set of static cameras. We use this location information to generate a visualization of the virtual offside line in soccer games. To compute the position of the offside line, we need to localize players′ positions and identify their team roles. […]
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 […]
Citation Abstract We present a novel algorithm for estimating the broad 3D geometric structure of outdoor video scenes. Leveraging spatio-temporal video segmentation, we decompose a dynamic scene captured by a video into geometric classes, based on predictions made by region-classifiers that are trained on appearance and motion features. By examining the homogeneity of the prediction, […]
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 […]
The Computational Photography MOOC offering in Coursera came to a close with the following final announcement (abridged here) on May 7, 2013. Computational photographers: Thanks for joining us for an engaging 5 weeks of collaboratively learning the wonderful aspects of computational photography. We bid you all farewell now and hope to see some of you […]
We present a novel data-driven technique for radiometric self-calibration of video from an unknown camera. Our approach self-calibrates radiometric variations in video, and is applied as a post-process; there is no need to access the camera, and in particular, it is applicable to internet videos.
Title: Computational Video: Post-processing Methods for Stabilization, Retargeting and Segmentation Matthias GrundmannSchool of Interactive ComputingCollege of ComputingGeorgia Institute of TechnologyDate: February 04, 2013 (Monday)Time: 3:00p – 6:00p ESTLocation: Nano building, 116-118 Abstract: In this thesis, we address a variety of challenges for analysis and enhancement of Computational Video. We present novel post-processing methods to bridge […]
Video Analysis and Enhancement: Video Stabilization and Rolling Shutter Removal on YouTube Irfan Essa Georgia Tech School of Interactive Computing GVU and RIM @ GT Centers October 19, 2012, 3:30 PM, NSH 1305 Abstract In this talk, I will discuss a variety of approaches my group is working on for video analysis and enhancement. In […]
