City-Stories: A Multimedia Hybrid Content and Entity Retrieval System for Historical Data
暂无分享,去创建一个
Heiko Schuldt | Philippe Cudré-Mauroux | Claudiu Tanase | Maria Sokhn | Shaban Shabani | Laura Rettig | Lukas Beck
[1] Pablo N. Mendes,et al. Improving efficiency and accuracy in multilingual entity extraction , 2013, I-SEMANTICS '13.
[2] Guoliang Li,et al. Crowdsourced Data Management: A Survey , 2016, IEEE Transactions on Knowledge and Data Engineering.
[3] Gianluca Demartini,et al. Pick-a-crowd: tell me what you like, and i'll tell you what to do , 2013, CIDR.
[4] Gianluca Demartini,et al. Effective named entity recognition for idiosyncratic web collections , 2014, WWW.
[5] Chalitha Perera,et al. Cross Media Entity and Concept Driven Search , 2016, SEMANTiCS.
[6] Lukas Biewald,et al. Programmatic Gold: Targeted and Scalable Quality Assurance in Crowdsourcing , 2011, Human Computation.
[7] Johan Oomen,et al. Television heritage linked and visualized: The EUscreen virtual exhibitions and the Linked Open Data pilot , 2013, 2013 Digital Heritage International Congress (DigitalHeritage).
[8] Arantxa Otegi,et al. Personalised PageRank for making recommendations in digital cultural heritage collections , 2014, IEEE/ACM Joint Conference on Digital Libraries.
[9] Heiko Schuldt,et al. Cineast: A Multi-feature Sketch-Based Video Retrieval Engine , 2014, 2014 IEEE International Symposium on Multimedia.
[10] Lora Aroyo,et al. Crowdsourcing in the cultural heritage domain: opportunities and challenges , 2011, C&T.
[11] Paul H. Lewis,et al. SCULPTEUR: Multimedia Retrieval for Museums , 2004, CIVR.
[12] Lora Aroyo,et al. INVENiT: Exploring Cultural Heritage Collections While Adding Annotations , 2014, IESD@ISWC.
[13] Johan Oomen,et al. Publishing Europe's Television Heritage on the Web , 2011, SDA.
[14] Heiko Schuldt,et al. vitrivr: A Flexible Retrieval Stack Supporting Multiple Query Modes for Searching in Multimedia Collections , 2016, ACM Multimedia.
[15] Heiko Schuldt,et al. ADAMpro: Database Support for Big Multimedia Retrieval , 2016, Datenbank-Spektrum.
[16] Hongwei Li,et al. Error Rate Bounds in Crowdsourcing Models , 2013, ArXiv.
[17] Christopher D. Manning,et al. Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling , 2005, ACL.
[18] Yiannis Kompatsiaris,et al. A hybrid ontology and visual-based retrieval model for cultural heritage multimedia collections , 2008, Int. J. Metadata Semant. Ontologies.
[19] Bolei Zhou,et al. Places: An Image Database for Deep Scene Understanding , 2016, ArXiv.
[20] Panagiotis G. Ipeirotis,et al. Quality management on Amazon Mechanical Turk , 2010, HCOMP '10.
[21] Xuemin Shen,et al. Exploiting mobile crowdsourcing for pervasive cloud services: challenges and solutions , 2015, IEEE Communications Magazine.
[22] Jens Lehmann,et al. DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia , 2015, Semantic Web.
[23] Philippe Cudré-Mauroux,et al. SANAPHOR: Ontology-Based Coreference Resolution , 2015, SEMWEB.
[24] Heiko Schuldt,et al. City-Stories: A Spatio-Temporal Mobile Multimedia Search System , 2016, 2016 IEEE International Symposium on Multimedia (ISM).
[25] Chih-Fong Tsai,et al. A review of image retrieval methods for digital cultural heritage resources , 2007, Online Inf. Rev..
[26] David A. Forsyth,et al. Utility data annotation with Amazon Mechanical Turk , 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.