Paper Abstract Recognizing when eating activities take place is one of the key challenges in automated food intake monitoring. Despite progress over the years, most proposed approaches have been largely impractical for everyday usage, requiring multiple onbody sensors or specialized devices such as neck collars for swallow detection. In this paper, we describe the implementation […]
[bibtex file=IrfanEssaWS.bib key=2013-Thomaz-TAAPCWREBWWC] Abstract First-person point-of-view (FPPOV) images taken by wearable cameras can be used to better understand people’s eating habits. Human computation is a way to provide effective analysis of FPPOV images in cases where algorithmic approaches currently fail. However, privacy is a serious concern. We provide a framework, the privacy-saliency matrix, for understanding […]
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 […]
Award#0834545 – CSR-DMSS, SM: Web on Demand – Bridging the Gap Between Social Networks and Ad Hoc Networking Investigator(s): Umakishore Ramachandran, (Principal Investigator), Irfan Essa (Co-Principal Investigator) Dates: September 1, 2008 – August 31, 2009 (Estimated) Abstract From the western world to the third world, the use of handheld devices (cellphones, PDAs) has proliferated. The […]