France: Fully-funded 3-year PhD position at INRIA-Rennes

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Recent technology has turned the video into an easily createdand widely spread media available as digital TV broadcasts,Internet videos (YouTube, Video Google, BBC Motion Gallery),professional digital archives and personal video collections.This large and ever growing amount of data currently presentsa challenge for many video applications including video search,browsing, content filtering and others. Human actions representthe large and essential part of video content, hence, theirautomatic interpretation is crucial to enable future videoapplications.

This PhD work will address the challenge of action recognitionin realistic video. It will aim to overcome limitations ofcurrent methods which are still far from addressing the fullrange of video variability such as the individual variations ofpeople in expression, posture, motion and clothing; perspectiveeffects and camera motions; illumination variations; occlusionsand variation in scene surroundings. It will build upon and willextend our recent work in this direction (see e.g.http://www.irisa.fr/vista/actions ) using the modern tools ofcomputer vision, machine learning and multi-modal data mining.The proposed work has potential of making high scientific impactas well as to contribute to practical applications.

Scientific environment:The successful candidate will work at INRIA centre in Rennesunder supervision of Ivan Laptev and Patrick Perez. The workwill be carried out within QUAERO programme http://www.quaero.org/

Requirements:- MSc. degree (or a French Master Degree) in computer science,  electrical engineering or related disciplines. Engineering  degrees will be also considered for candidates with initial  research experience.- Background in one or several following subjects: computer  vision, machine learning, image/video processing- Good programming skills (preferably Matlab and C/C++)- Good skills in written and spoken English

Salary: 1,537E Net per month

To apply, please send a full CV, a cover letter and contact detailsof two referees to: Ivan Laptev (ivan.laptev at inria.fr)

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