Zobrazeno 1 - 4 of 4 pro vyhledávání: '"high level features extraction"'
1
IRIM at TRECVID 2011: Semantic Indexing and Instance Search
Autor: Bertrand Delezoide, Frédéric Precioso, Philippe-Henri Gosselin, Miriam Redi, Bernard Merialdo, Lionel Granjon, Denis Pellerin, Michèle Rombaut, Hervé Jégou, Remi Vieux, Boris Mansencal, Jenny Benois-Pineau, Stéphane Ayache, Bahjat Safadi, Franck Thollard, Georges Quénot, Hervé Bredin, Matthieu Cord, alexandre benoit, Patrick Lambert, Tiberius Strat, Joseph Razik, Sébastien Paris, Hervé Glotin
Publikováno v: TRECVID 2011-TREC Video Retrieval Evaluation
TRECVID 2011-TREC Video Retrieval Evaluation Online, Nov 2011, Gaithersburg, MD, United States. 12p
HAL
Scopus-Elsevier
12 pages - TRECVID workshop notebook papers/slides available at http://www-nlpir.nist.gov/projects/tvpubs/tv.pubs.org.html; International audience; The IRIM group is a consortium of French teams work- ing on Multimedia Indexing and Retrieval. This pa
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7a04812b469d31fedc2847735ba759bc
https://hal.archives-ouvertes.fr/hal-00677651
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2
IRIM at TRECVID 2010: Semantic Indexing and Instance Search
Autor: David Gorisse, Frédéric Precioso, Philippe-Henri Gosselin, Lionel Granjon, Denis Pellerin, Michèle Rombaut, Hervé Bredin, Lionel Koenig, Rémi Vieux, Boris Mansencal, Jenny Benois-Pineau, Hugo Boujut, Claire Morand, Hervé Jégou, Stéphane Ayache, Bahjat Safadi, Yubing Tong, Franck Thollard, Georges Quénot, Matthieu Cord, alexandre benoit, Patrick Lambert
Publikováno v: Scopus-Elsevier
TRECVID 2010-TREC Video Retrieval Evaluation workshop
TRECVID 2010-TREC Video Retrieval Evaluation workshop, Nov 2010, Gaithersburg, MD, United States
HAL
International audience; The IRIM group is a consortium of French teams working on Multimedia Indexing and Retrieval. This paper describes our participation to the TRECVID 2010 semantic indexing and instance search tasks. For the semantic indexing tas
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::51233d210e92ed63e0dd9bbd738c1a9e
https://hal.science/hal-00591099
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3
IRIM at TRECVID2009: High Level Feature Extraction
Autor: Delezoide, B., Le Borgne, H., Moëllic, P. -A, Gorisse, D., Precioso, F., Wang, F., Merialdo, B., Gosselin, P., Granjon, L., Pellerin, D., Rombaut, M., Bredin, H., Koenig, L., Lachambre, H., El Khoury, E., Boris Mansencal, Zhou, Y., Benois-Pineau, J., Jégou, H., Ayache, S., Safadi, B., Quénot, G., Fabrizio, J., Cord, M., Glotin, H., Zhao, Z., Dumont, E., Augereau, B.
Publikováno v: TREC Video Retrieval Evaluation Online Proceedings (TRECVID)
TRECVID 2009-TREC Video Retrieval Evaluation
TRECVID 2009-TREC Video Retrieval Evaluation, Nov 2009, Gaithersburg, MD, United States
HAL
Scopus-Elsevier
International audience; The IRIM group is a consortium of French teams working on Multimedia Indexing and Retrieval. This paper describes our participation to the TRECVID 2009 High Level Features detection task. We evaluated a large number of differe
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5aabbac21e04f0f1522f82a27d850897
https://hal.science/hal-00468199/file/IRIMatTRECVID2009.pdf
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4
COST292 experimental framework for TRECVID 2008
Autor: Zhang, Q., Tolias, G., Mansencal, B., Saracoglu, A., Aginako, N., Alatan, A., Alexandre, L. A., Avrithis, Y., Benois-Pineau, J., Chandramouli, K., Corvaglia, M., Damnjanovic, U., Dimou, A., Esen, E., Fatemi, N., Garcia, I., Guerrini, F., Hanjalic, A., Jarina, R., Kapsalas, P., King, P., Kompatsiaris, I., Makris, L., Mezaris, V., Migliorati, P., Anastasia Moumtzidou, Mylonas, P., Naci, U., Nikolopoulos, S., Paralic, M., Piatrik, T., Poulin, F., Pinheiro, A. M. G., Raileanu, L., Spyrou, E., Vrochidis, S.
Publikováno v: CIÊNCIAVITAE
Scopus-Elsevier
TREC online proceedings
TREC Video Retrieval Evaluation Online Proceedings (TRECVID)
TREC Video Retrieval Evaluation Online Proceedings (TRECVID), Nov 2008, United States
International audience; In this paper, we give an overview of the four tasks submitted to TRECVID 2008 by COST292. The high-level feature extraction framework comprises four systems. The first system transforms a set of low-level descriptors into the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::00320bd034d7a8d9ffa8487d0202a33f
http://www.scopus.com/inward/record.url?eid=2-s2.0-84905157263&partnerID=MN8TOARS
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