VITALAS at TRECVID-2009

dc.contributor.authorDiou, Christos
dc.contributor.authorStephanopoulos, George
dc.contributor.authorDimitriou, Nikos
dc.contributor.authorPanagiotopoulos, Panagiotis
dc.contributor.authorPapachristou, Christos
dc.contributor.authorDelopoulos, Anastasios
dc.contributor.authorRode, Henning
dc.contributor.authorTsikrika, Theodora
dc.contributor.authorde Vries, Arjen P.
dc.contributor.authorSchneider, Daniel
dc.contributor.authorSchwenninger, Jochen
dc.contributor.authorViaud, Marie Luce
dc.contributor.authorSaulnier, Agnès
dc.contributor.authorAltendorf, Peter
dc.contributor.authorSchröter, Birgit
dc.contributor.authorElser, Matthias
dc.contributor.authorRego, Angel
dc.contributor.authorRodriguez, Alex
dc.contributor.authorMartínez, Cristina
dc.contributor.authorEtxaniz, Iñaki
dc.contributor.authorDupont, Gérard
dc.contributor.authorGrilhères, Bruno
dc.contributor.authorMartin, Nicolas
dc.contributor.authorBoujemaa, Nozha
dc.contributor.authorJoly, Alexis
dc.contributor.authorEnficiaud, Raffi
dc.contributor.authorVerroust, Anne
dc.contributor.authorSelmi, Souheil
dc.contributor.authorKhadhraoui, Mondher
dc.contributor.institutionCIBERSEC&DLT
dc.contributor.institutionHPA
dc.date.accessioned2024-07-24T12:16:31Z
dc.date.available2024-07-24T12:16:31Z
dc.date.issued2009
dc.description.abstractThis paper describes the participation of VITALAS in the TRECVID-2009 evaluation where we submitted runs for the High-Level Feature Extraction (HLFE) and Interactive Search tasks. For the HLFE task, we focus on the evaluation of low-level feature sets and fusion methods. The runs employ multiple low-level features based on all available modalities (visual, audio and text) and the results show that use of such features improves the retrieval effectiveness significantly. We also use a concept score fusion approach that achieves good results with reduced low-level feature vector dimensionality. Furthermore, a weighting scheme is introduced for cluster assignment in the "bag-of-words" approach. Our runs achieved good performance compared to a baseline run and the submissions of other TRECVID-2009 participants. For the Interactive Search task, we focus on the evaluation of the integrated VITALAS system in order to gain insights into the use and effectiveness of the system's search function-alities on (the combination of) multiple modalities and study the behavior of two user groups: professional archivists and non-professional users. Our analysis indicates that both user groups submit about the same total number of queries and use the search functionalities in a similar way, but professional users save twice as many shots and examine shots deeper in the ranked retrieved list.The agreement between the TRECVID assessors and our users was quite low. In terms of the effectiveness of the different search modalities, similarity searches retrieve on average twice as many relevant shots as keyword searches, fused searches three times as many, while concept searches retrieve even up to five times as many relevant shots, indicating the benefits of the use of robust concept detectors in multimodal video retrieval.en
dc.description.statusPeer reviewed
dc.identifier.citationDiou , C , Stephanopoulos , G , Dimitriou , N , Panagiotopoulos , P , Papachristou , C , Delopoulos , A , Rode , H , Tsikrika , T , de Vries , A P , Schneider , D , Schwenninger , J , Viaud , M L , Saulnier , A , Altendorf , P , Schröter , B , Elser , M , Rego , A , Rodriguez , A , Martínez , C , Etxaniz , I , Dupont , G , Grilhères , B , Martin , N , Boujemaa , N , Joly , A , Enficiaud , R , Verroust , A , Selmi , S & Khadhraoui , M 2009 , ' VITALAS at TRECVID-2009 ' , Paper presented at TREC Video Retrieval Evaluation, TRECVID 2009 , Gaithersburg, MD , United States , 16/11/09 - 17/11/09 .
dc.identifier.citationconference
dc.identifier.urihttps://hdl.handle.net/11556/4664
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84905706841&partnerID=8YFLogxK
dc.language.isoeng
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsComputer Graphics and Computer-Aided Design
dc.subject.keywordsComputer Vision and Pattern Recognition
dc.subject.keywordsHuman-Computer Interaction
dc.subject.keywordsSoftware
dc.titleVITALAS at TRECVID-2009en
dc.typeconference output
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