The following papers describe state of the art of video classification and retrieval systems

1) Existing Mobile Content-based Video Retrieval System:

This system implements a client server based video retrieval system from a mobile phone. However, the queries are audio queries, and these audio queries are used to retrieve video clips.

Mobile Content based video retrieval with audio queries: http://muvis.cs.tut.fi/Documents/SPIE_05_06.pdf


2) Video Classification:

The following papers are some examples of video classification/basic retireval systems.

Video classification with a user learning system for CBVR: http://portal.acm.org/citation.cfm?id=1178705

Motion Pattern-Based Video Classification and Retrieval http://www.hindawi.com/GetArticle.aspx?doi=10.1155/S1110865703211021

Statistical video classification and Bayesian learning: http://www-rocq.inria.fr/imedia/mmcbir2001/FinalpaperBouthemy.pdf

video classification + user learning system for CBVR: http://portal.acm.org/citation.cfm?id=1178705

video--> audio--> text(speech) recognition-> keywords http://www.cais.ntu.edu.sg/~chhoi/paper_pdf/ICASSP07MMML.pdf


Other references:

http://www.informedia.cs.cmu.edu/documents/ICME04_Lin_timing.web.pdf http://oldhome.adelphi.edu/~cheny/papers/EI4315-31.pdf http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/4021173/4021174/04021297.pdf?temp=x http://portal.acm.org/citation.cfm?id=1345477.1345483&coll=GUIDE&dl= http://portal.acm.org/citation.cfm?id=973264.973267&coll=ACM&dl=ACM&type=series&idx=SERIES316&part=series&WantType=Proceedings&title=MM

Alumni Liaison

Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva