COST292 experimental framework for TRECVID2008

Zhang, Q; Chandramouli, K; Damnjanovic, U; Piatrik, T; Tolias, G; Avrithis, Y; Kapsalas, P; Mylonas, P; Spyrou, E; Mansencal, B; Benois-pineau, J; Saracoglu, A; Esen, E; Alatan, A; Aginako, N; Garcia, I; Pinheiro, A; Alexandre, L; Corvaglia, M; Guerrini, F; Migliorati, P; Fatemi, N; Poulin, F; Raileanu, L; Jarina, R; Paralic, M; Vrochidis, S; Moumtzidou, A; King, P; Nikolopoulos, S; Dimou, A; Mezaris, V; Makris, L; Kompatsiaris, I; Naci, U; Hanjalic, A

dc.contributor.author	Zhang, Q	en
dc.contributor.author	Chandramouli, K	en
dc.contributor.author	Damnjanovic, U	en
dc.contributor.author	Piatrik, T	en
dc.contributor.author	Tolias, G	en
dc.contributor.author	Avrithis, Y	en
dc.contributor.author	Kapsalas, P	en
dc.contributor.author	Mylonas, P	en
dc.contributor.author	Spyrou, E	en
dc.contributor.author	Mansencal, B	en
dc.contributor.author	Benois-pineau, J	en
dc.contributor.author	Saracoglu, A	en
dc.contributor.author	Esen, E	en
dc.contributor.author	Alatan, A	en
dc.contributor.author	Aginako, N	en
dc.contributor.author	Garcia, I	en
dc.contributor.author	Pinheiro, A	en
dc.contributor.author	Alexandre, L	en
dc.contributor.author	Corvaglia, M	en
dc.contributor.author	Guerrini, F	en
dc.contributor.author	Migliorati, P	en
dc.contributor.author	Fatemi, N	en
dc.contributor.author	Poulin, F	en
dc.contributor.author	Raileanu, L	en
dc.contributor.author	Jarina, R	en
dc.contributor.author	Paralic, M	en
dc.contributor.author	Vrochidis, S	en
dc.contributor.author	Moumtzidou, A	en
dc.contributor.author	King, P	en
dc.contributor.author	Nikolopoulos, S	en
dc.contributor.author	Dimou, A	en
dc.contributor.author	Mezaris, V	en
dc.contributor.author	Makris, L	en
dc.contributor.author	Kompatsiaris, I	en
dc.contributor.author	Naci, U	en
dc.contributor.author	Hanjalic, A	en
dc.date.accessioned	2014-03-01T02:51:19Z
dc.date.available	2014-03-01T02:51:19Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35477
dc.relation.uri	http://www.informatik.uni-trier.de/~ley/db/conf/trecvid/trecvid2008.html#ZhangCDPTAKMSMBSEAAGPACGMFPRJPVMKNDMMKNH08	en
dc.relation.uri	http://www-nlpir.nist.gov/projects/tvpubs/tv8.papers/cost292.pdf	en
dc.subject	Ant Colony Optimisation	en
dc.subject	Camera Motion	en
dc.subject	Detection Algorithm	en
dc.subject	Feature Detection	en
dc.subject	Feature Extraction	en
dc.subject	Interactive Search	en
dc.subject	Latent Semantic Analysis	en
dc.subject	Learning Algorithm	en
dc.subject	Particle Swarm Optimisation	en
dc.subject	Semantic Space	en
dc.subject	Spectral Clustering	en
dc.subject	User Interface	en
dc.subject	Neural Network	en
dc.title	COST292 experimental framework for TRECVID2008	en
heal.type	conferenceItem	en
heal.publicationDate	2008	en
heal.abstract	Abstract 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 semantic space using Latent Semantic Analysis and utilises neural networks for feature detection. The second system uses a multi-modal classifier based on SVMs	en
heal.journalName	TREC Video Retrieval Evaluation	en