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 […]
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 […]
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 […]
Citation Additional details A collaborative project between the School of Interactive Computing, Georgia Institute of Technology, Atlanta, Georgia, Division of Cardiothoracic Surgery, Emory University School of Medicine, Atlanta, Georgia, and Inova Heart and Vascular Institute1, Fairfax, Virginia. This was a Video and a Poster presentation at the Society of Thoracic Surgeons Annual Meeting in San Diego, CA, Jan […]
Bilayer Segmentation of Webcam Videos Using Tree-Based Classifiers Pei Yin, A. Criminisi, J. Winn, I. Essa (2011), “Bilayer Segmentation of Webcam Videos Using Tree-Based Classifiers” in Pattern Analysis and Machine Intelligence, IEEE Transactions on, Jan. 2011, Volume : 33 , Issue:1, ISSN : 0162-8828, Digital Object Identifier : 10.1109/TPAMI.2010.65, IEEE Computer Society [Project Page|DOI] ABSTRACT This paper […]
In Spring 2011, I am teaching 2 classes. Computational Photography (CS 4475 HP/ 8803 PHO) This class explores perceptual and technical aspects of pictures, and more precisely the capture and depiction of reality on a 2D medium. The scientific, perceptual, and artistic principles behind image-making will be emphasized. Topics include the relationship between pictorial techniques […]
Fall 2010 GRASP Seminar – Irfan Essa, Georgia Institute Of Technology, “Two Talks On Video Analysis: 1 Segmentation Of Video And 2 Prediction Of Actions In Video” | GRASP Laboratory – University Of Pennsylvania. Friday September 24, 2010 from 11:00am to 12:00pm My research group is focused on a variety if approaches for video […]