Paper Abstract We present an approach for identifying picturesque highlights from large amounts of egocentric video data. Given a set of egocentric videos captured over the course of a vacation, our method analyzes the videos and looks for images that have good picturesque and artistic properties. We introduce novel techniques to automatically determine aesthetic features […]
Video Analysis and Enhancement: Spatio-Temporal Methods for Extracting Content from Videos and Enhancing Video Output Irfan Essa (prof.irfanessa.com) Georgia Institute of Technology School of Interactive Computing Hosted by Max-Planck-Institut für Informatik in Saarbrucken (Bernt Schiele, Director of Computer Vision and Multimodal Computing) Abstract In this talk, I will start with describing the pervasiveness of image and video content, […]
Participated in the Dagstuhl Workshop on “Modeling and Simulation of Sports Games, Sport Movements, and Adaptations to Training” at the Dagstuhl Castle, September 13 – 16, 2015. Motivation Source: Schloss Dagstuhl : Seminar HomepagePast Seminars on this topic include
Irfan EssaGeorgia Institute of Technology Thursday, September 10, 2 pm,Max Planck House Lecture Hall (Spemannstr. 36)Hosted by Max-Planck-Institute for Intelligent Systems (Michael Black, Director of Perceiving Systems) Abstract In this talk, I will start with describing the pervasiveness of image and video content, and how such content is growing with the ubiquity of cameras. I will use […]
I was invited to participate and present at the King Abdullah University of Science & Technology Conference on Computational Imaging and Vision (CIV) March 1-4, 2015, Visual Computing Center (VCC) Invited Speakers included This event was hosted by the Visual Computing Center (Wolfgang Heidrich, Bernard Ghanem, Ganesh Sundaramoorthi). Daniel Castro also attended and presented a poster at the meeting.
Citation Abstract We present an algorithm for finding temporally consistent occlusion boundaries in videos to support the segmentation of dynamic scenes. We learn occlusion boundaries in a pairwise Markov random field (MRF) framework. We first estimate the probability of a spatiotemporal edge being an occlusion boundary by using appearance, flow, and geometric features. Next, we […]
Abstract We present an algorithm to estimate depth in dynamic video scenes. We present an algorithm to estimate depth in dynamic video scenes.We propose to learn and infer depth in videos from the appearance, motion, occlusion boundaries, and geometric context of the scene. Using our method, depth can be estimated from unconstrained videos with no […]
Abstract We present an efficient and scalable algorithm for seg- menting 3D RGBD point clouds by combining depth, color, and temporal information using a multistage, hierarchical graph-based approach. Our algorithm processes a moving window over several point clouds to group similar regions over a graph, resulting in an initial over-segmentation. These regions are then merged […]
Thesis title: Surgical Skill Assessment Using Motion Texture analysisYachna Sharma, Ph. D. Candidate, ECEhttp://users.ece.gatech.edu/~ysharma3/ Committee: Prof. Irfan Essa (advisor), College of ComputingProf. Mark A. Clements (co-advisor), School of Electrical and Computer EngineeringProf. David Anderson, School of Electrical and Computer EngineeringProf. Anthony Yezzi, School of Electrical and Computer EngineeringProf. Christopher F. Barnes, School of Electrical and […]
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 […]