Kudos to the team from Machine Perception at Google Research that just launched the Motion Still App to generate novel photos on an iOS device. This work is in part aimed at combining efforts like Video Textures and Video Stabilization and a lot more. Today we are releasing Motion Stills, an iOS app from Google […]
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 […]
Our paper was listed as the “Excellent Paper” by Google Research for 2012 We honor the influential papers authored or co-authored by Googlers covering all of 2012 — covering roughly 6% of our total publications. It’s tough choosing, so we may have left out some important papers. So, do see the publications list to review the […]
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 […]
Title: Computational Video: Post-processing Methods for Stabilization, Retargeting and Segmentation Matthias Grundmann School of Interactive Computing College of Computing Georgia Institute of Technology Date: February 04, 2013 (Monday) Time: 3:00p – 6:00p EST Location: Nano building, 116-118 Abstract: In this thesis, we address a variety of challenges for analysis and enhancement of Computational Video. We […]
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 […]
Video Enhancement and Analysis: From Content Analysis to Video Stabilization for YouTube Irfan Essa Georgia Institute of Technology October 14, 2012 15:00 – 16:00, Huxely Room. South Kensington Campus, Imperial College, London Abstract The talk will describe a variety of efforts undertaken on analysis of video to enhancement and synthesis of video. An overview of […]
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 developing methods for making casual videos look more professional, thereby providing users with a better viewing experience. Professional videos have several characteristics that differentiate […]
Calibration-Free Rolling Shutter Removal 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 not need any knowledge of the camera used, nor does it require calibration using specially recorded calibration sequences. Our algorithm can perform rolling shutter removal under […]
Our work, as described in the following paper, now showcased in youtube. 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 the click of […]