Div150Multi: A social image retrieval result diversification dataset with multi-topic queries

Autor: Bogdan Ionescu, Henning Müller, Adrian Popescu, Alexandru Lucian Ginsca, Bogdan Boteanu, Mihai Lupu
Přispěvatelé: Laboratoire d'Analyse et Traitement d'Images (LAPI), Université Politehnica [Bucarest, Roumanie], Département Intelligence Ambiante et Systèmes Interactifs (DIASI), Laboratoire d'Intégration des Systèmes et des Technologies (LIST), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Haute École Spécialisée de Suisse Occidentale Valais-Wallis (HES-SO Valais-Wallis), Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA))
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: MMSys '16 Proceedings of the 7th International Conference on Multimedia Systems
MMSys '16 Proceedings of the 7th International Conference on Multimedia Systems, May 2016, Klagenfurt, Austria. pp.356-361, ⟨10.1145/2910017.2910620⟩
MMSys
DOI: 10.1145/2910017.2910620⟩
Popis: Conference of 7th ACM International Conference on Multimedia Systems, MMSys 2016 ; Conference Date: 10 May 2016 Through 13 May 2016; Conference Code:121613; International audience; In this paper we introduce a new dataset, Div150Multi, that was designed to support shared evaluation of diversification techniques in different areas of social media photo retrieval and related areas. The dataset comes with associated relevance and diversity assessments performed by trusted annotators. The data consists of around 300 complex queries represented via 86,769 Flickr photos, around 27M photo links for around 6,000 users, metadata, Wikipedia pages and content descriptors for text and visual modalities, including state of the art deep features. To facilitate distribution, only Creative Commons content allowing redistribution was included in the dataset. The proposed dataset was validated during the 2015 Retrieving Diverse Social Images Task at the MediaEval Benchmarking.
Databáze: OpenAIRE