[eveneauPHD02] VENEAU Emmanuel, Macro-segmentation multi-critère et classification de séquences par le contenu dynamique pour l’indexation vidéo, thèse de doctorat n°2657, Université de Rennes I, IRISA, février 2002 ( PDF, 10.3 Mo).
[ina01b] VENEAU Emmanuel, WAUTELET Michèle, VINET Laurent, Creating a users’ reference annotation for high-level video segmentation tools’evaluation, research report INA, december 2001 ( PDF, 283 octets).
[ina01a] WAUTELET Michèle, VENEAU Emmanuel, BONY Anne, Constitution d’une annotation manuelle de référence pour l’évaluation d’outils automatiques de segmentation temporelle de documents audiovisuels, rapport de recherche INA, août 2001 ( PDF, 282 octets).
[icisp2001] VENEAU Emmanuel, PÉPY Julien, VINET Laurent, Toward a semantic indexing based on images color features similarity ?, International Conference on Image and Signal Processing (ICISP’2001) Agadir, Morocco, May 2001 ( PDF, 851.3 ko).
[icpr2000] VENEAU Emmanuel, RONFARD Rémi, BOUTHEMY Patrick, From Video Shot Clustering to Sequence Segmentation, Fifteenth International Conference on Pattern Recognition (ICPR’2000), Barcelona, Spain, September 2000 ( PDF, 80.6 ko).
[visual1999] BOUTHEMY Patrick, GARCIA Christophe, RONFARD Rémi, TZIRITAS Georges, VENEAU Emmanuel, ZUGAJ Didier, Scene segmentation and image feature extraction for video indexing and retrieval, Third International Conference on Visual Information Systems (VISUAL’99), Amsterdam, The Netherlands, June 1999 ( PDF, 208.5 ko).
[icann97] SAMUELIDÈS Manuel, THORPE Simon, VENEAU Emmanuel, Implementing Hebbian Learning in a Rank-Based Neural Network , International Conference on Artificial Neural Networks (ICANN’97), Lecture Notes in Computer Science 1327 (Springer) ( PDF, 81.2 ko).