Via Georgia Tech School of Interactive Computing‘s Website > Essa, Egerstedt Named IEEE Fellows. The IEEE Board of Directors has elected professors Irfan Essa and Magnus Egerstedt (both Interactive Computing) as Fellows in its Class of 2012. Essa is a professor whose research focus is in computer vision, computer graphics, computational perception, robotics and computer animation. In his […]
Paper/Citation Abstract Analysis and Recognition of motions and activities of objects in videos requires effective representations for analysis and matching of motion trajectories. In this paper, we introduce a new representation specifically aimed at matching motion trajectories. We model a trajectory as a continuous dense flow field from a sparse set of vector sequences using […]
Our work, as described in the following paper, now showcased in youtube. [bibtex file=IrfanEssaWS.bib key=2011-Grundmann-AVSWROCP] YouTube effects: Shake it like an Instagram picture via YouTube effects: Shake it like an Instagram picture — Online Video News. YouTube users can now apply a number of Instagram-like effects to their videos, giving them a cartoonish or Lomo-like look with […]
EAGER: Linguistic Task Transfer for Humans and Cyber Systems (Mike Stillman, Irfan Essa) NSF/RI This project, investigating formal languages as a general methodology for task transfer between distinct cyber-physical systems such as humans and robots, aims to expand the science of cyber physical systems by developing Motion Grammars that will enable task transfer between distinct […]
via Auto-Directed Video Stabilization with Robust L1 Optimal Camera Paths – Google Research Blog. Auto-Directed Video Stabilization with Robust L1 Optimal Camera Paths Posted by Matthias Grundmann, Vivek Kwatra, and Irfan Essa, Earlier this year, we announced the launch of new features on the YouTube Video Editor, including stabilization for shaky videos, with the ability to preview them in […]
Paper / Citation Abstract We present a novel algorithm for automatically applying constrainable, L1-optimal camera paths to generate stabilized videos by removing undesired motions. Our goal is to compute camera paths that are composed of constant, linear and parabolic segments mimicking the camera motions employed by professional cinematographers. To this end, our algorithm is based […]
“Spatio-Temporal Video Analysis and Visual Activity Recognition” at the Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA) 2011 Conference in Las Palmas de Gran Canaria. Spain. June 8-10. Abstract My research group is focused on various approaches for (a) low-level video analysis and synthesis and (b) recognizing activities in videos. In this talk, I will concentrate […]
Congratulations to Matthias Grundmann, winner of the Google PhD Fellowship in Computer Vision for 2012. via PhD Fellowships – Google Research. Google PhD Fellowship Program Overview Nurturing and maintaining strong relations with the academic community is a top priority at Google. The Google U.S./Canada PhD Student Fellowship Program was created to recognize outstanding graduate students […]
via YouTube Blog: Lights, Camera… EDIT! New Features for the YouTube Video Editor. [bibtex file=IrfanEssaWS.bib key=2011-Grundmann-AVSWROCP] Lights, Camera… EDIT! New Features for the YouTube Video Editor Nine months ago we launched our cloud-based video editor. It was a simple product built to provide our users with simple editing tools. Although it didn’t have all the features […]