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1. IRIM at TRECVID 2012: Semantic Indexing and Instance Search

   Autor*in: Ballas, Nicolas ; Labbé, Benjamin ; Shabou, Aymen ; Le Borgne, Hervé ; Gosselin, Philippe-Henri ; Redi, Miriam ; Merialdo, Bernard ; Jégou, Hervé ; Delhumeau, Jonathan ; Vieux, Rémi ; Mansencal, Boris ; Benois-Pineau, Jenny ; Ayache, Stéphane ; Hamadi, Abdelkader ; Safadi, Bahjat ; Thollard, Franck ; Derbas, Nadia ; Quénot, Georges ; Bredin, Hervé ; Cord, Matthieu ; Gao, Boyang ; Zhu, Chao ; Tang, Yuxing ; Dellandrea, Emmanuel ; Bichot, Charles-Edmond ; Chen, Liming ; Benoit, Alexandre ; Lambert, Patrick ; Strat, Tiberius ; Razik, Joseph ; Paris, Sébastien ; Glotin, Hervé ; Trung, Tran Ngoc ; Petrovska-Delacrétaz, Dijana ; Chollet, Gérard ; Stoian, Andrei ; Crucianu, Michel

   Erschienen: 2012

   Verlag:  HAL CCSD

   International audience ; The IRIM group is a consortium of French teams work- ing on Multimedia Indexing and Retrieval. This paper describes its participation to the TRECVID 2012 se- mantic indexing and instance search tasks. For the semantic... mehr

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   https://hal.science/hal-00770258 https://hal.science/hal-00770258/document https://hal.science/hal-00770258/file/Ballas-al_TRECVID2012.pdf

   International audience ; The IRIM group is a consortium of French teams work- ing on Multimedia Indexing and Retrieval. This paper describes its participation to the TRECVID 2012 se- mantic indexing and instance search tasks. For the semantic indexing task, our approach uses a six-stages processing pipelines for computing scores for the likeli- hood of a video shot to contain a target concept. These scores are then used for producing a ranked list of im- ages or shots that are the most likely to contain the tar- get concept. The pipeline is composed of the following steps: descriptor extraction, descriptor optimization, classi cation, fusion of descriptor variants, higher-level fusion, and re-ranking. We evaluated a number of dif- ferent descriptors and tried di erent fusion strategies. The best IRIM run has a Mean Inferred Average Pre- cision of 0.2378, which ranked us 4th out of 16 partici- pants. For the instance search task, our approach uses two steps. First individual methods of participants are used to compute similrity between an example image of in- stance and keyframes of a video clip. Then a two-step fusion method is used to combine these individual re- sults and obtain a score for the likelihood of an instance to appear in a video clip. These scores are used to ob- tain a ranked list of clips the most likely to contain the queried instance. The best IRIM run has a MAP of 0.1192, which ranked us 29th on 79 fully automatic runs.

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   Quelle:	BASE Fachausschnitt Germanistik
   Sprache:	Englisch
   Medientyp:	Konferenzveröffentlichung
   Format:	Online
   Übergeordneter Titel:	TRECVID - TREC Video Retrieval Evaluation workshop ; https://hal.science/hal-00770258 ; TRECVID - TREC Video Retrieval Evaluation workshop, Nov 2012, Gaithersburg, MD, United States. 12p
   Schlagworte:	[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]
   Lizenz:	info:eu-repo/semantics/OpenAccess

2. Napoléon breton?

   Sainte-Sève, 1770-Sainte-Hélène, 1821 : fils de Louis Charles René de Marbeuf
   Autor*in: Le Borgne, Hervé

   Erschienen: 2008

   Verlag:  Keltia Graphic, Spézet

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   Weimar: Klassik Stiftung Weimar / Herzogin Anna Amalia Bibliothek

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   Klassik Stiftung Weimar / Herzogin Anna Amalia Bibliothek

   Signatur:

   216230 - A

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   uneingeschränkte Fernleihe, Kopie und Ausleihe

   Link zum Verbundkatalog:

   Gemeinsamer Bibliotheksverbund (GBV)

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   Quelle:	Herzogin Anna Amalia Bibliothek
   Sprache:	Französisch
   Medientyp:	Buch (Monographie)
   Format:	Druck
   ISBN:	9782353130351
   Schlagworte:	Napoleon;
   Weitere Schlagworte:	Napoleon Emperor of the French (1769-1821)
   Umfang:	95 p, 22 cm
   Bemerkung(en):	"Fils de Louis Charles René de Marbeuf, il naquit en Bretagne-- amis corses, gardez-le! Includes bibliographical references (p. 94-95)