Computational Video

May 2, 2014 / Last updated : February 22, 2021 irfan Thesis

PhD Thesis (2014) by S. Hussain Raza “Temporally Consistent Semantic Segmentation in Videos”

Title : Temporally Consistent Semantic Segmentation in VideosS. Hussain Raza, Ph. D. Candidate in ECE (https://sites.google.com/site/shussainraza5/) Committee: Prof. Irfan Essa (advisor), School of Interactive Computing Prof. David Anderson (co-advisor), School of Electrical and Computer Engineering Prof. Frank Dellaert, School of Interactive Computing Prof. Anthony Yezzi, School of Electrical and Computer Engineering Prof. Chris Barnes, School […]
October 3, 2013 / Last updated : February 22, 2021 irfan CVIU

Paper in CVIU 2013 “A Visualization Framework for Team Sports Captured using Multiple Static Cameras”

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. […]
July 11, 2013 / Last updated : September 2, 2020 irfan Presentations

At ICVSS (International Computer Vision Summer School) 2013, in Calabria, ITALY (July 2013)

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 […]
June 27, 2013 / Last updated : February 22, 2021 irfan CVPR

Paper in IEEE CVPR 2013: “Geometric Context from Videos”

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, […]
May 28, 2013 / Last updated : March 26, 2023 irfan Presentations

Google I/O 2013: Secrets of Video Stabilization on YouTube

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 […]
February 4, 2013 / Last updated : February 22, 2021 irfan Thesis

Matthias Grundmann’s PhD Thesis Defense (2013): “Title: Computational Video: Post-processing Methods for Stabilization, Retargeting and Segmentation”

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 […]