@inproceedings {25468,
	title = {Organizer Team at ImageCLEFlifelog 2017: Baseline Approaches for Lifelog Retrieval and Summarization},
	journal = {CLEF 2017},
	year = {2017},
	publisher = {CEUR Workshop Proceedings},
	url = {http://ceur-ws.org/Vol-1866/},
	author = {Zhou, Liting and Piras, Luca and Riegler, Michael and Boato, Giulia and Dang-Nguyen, Duc-Tien and Gurrin, Cathal},
	editor = {Cappellato, Linda}
}
@article {ionescu2017overview,
	title = {Overview of ImageCLEF 2017: Information extraction from images},
	journal = {Experimental IR Meets Multilinguality, Multimodality, and Interaction.},
	volume = {10456},
	year = {2017},
	pages = {315-337},
	publisher = {Springer International Publishing},
	isbn = {978-3-319-65813-1},
	author = {Ionescu, Bogdan and Villegas, Mauricio and Arenas, Helbert and Boato, Giulia and Dang-Nguyen, Duc-Tien and Cid, Dicente and Eickhoff, Carsten and Garcia Seco {de Herrera} and Gurrin, Cathal and Riegler, Michael},
	editor = {M{\"u}ller, Henning}
}
@inproceedings {dang2017overview,
	title = {Overview of ImageCLEFlifelog 2017: Lifelog Retrieval and Summarization},
	journal = {CLEF 2017},
	year = {2017},
	publisher = {CEUR-WS.org},
	author = {Riegler, Michael and Boato, Giulia and Zhou, Liting and Gurrin, Cathal},
	editor = {Dang-Nguyen, Duc-Tien}
}
@inproceedings {24922,
	title = {ImageCLEF 2017 LifeLog task},
	journal = {Challenges in Machine Learning: Gaming and Education (CiML - NIPS 2016 workshop)},
	year = {2016},
	month = {11/2016},
	publisher = {NIPS},
	address = {Barcelona, Spain},
	author = {Dang-Nguyen, Duc-Tien and Piras, Luca and Riegler, Michael and Gurrin, Cathal and Boato, Giulia and Halvorsen, P{\r a}l}
}
@inproceedings {24855,
	title = {Verifying Multimedia Use at MediaEval 2016},
	journal = {MediaEval 2016 Workshop},
	year = {2016},
	month = {10/2016},
	publisher = {CEUR Workshop Proceedings},
	address = {Hilversum, Netherlands},
	abstract = {This paper provides an overview of the Verifying Multimedia Use task that takes places as part of the 2016 MediaEval Benchmark. The task motivates the development of automated techniques for detecting manipulated and misleading use of web multimedia content. Splicing, tampering and reposting videos and images are examples of manipulation that are part of the task definition. For the 2016 edition of the task, a corpus of images/videos and their associated posts is made available, together with labels indicating the appearance of misuse (fake) or not (real) in each case as well as some useful post metadata.},
	author = {Boididou, Christina and Papadopoulos, Symeon and Dang-Nguyen, Duc-Tien and Boato, Giulia and Riegler, Michael and Petlund, Andreas and Kompatsiaris, Yiannis}
}
@inproceedings {23568,
	title = {Verifying Multimedia Use at MediaEval 2015},
	journal = {MediaEval Benchmarking Initiative for Multimedia Evaluation},
	year = {2015},
	month = {09/2015},
	publisher = {CEUR Workshop Proceedings},
	address = {Wurzen, Germany},
	abstract = {This paper provides an overview of the Verifying Multime-dia Use task that takes places as part of the 2015 MediaEvalBenchmark. The task deals with the automatic detection ofmanipulation and misuse of Web multimedia content. Itsaim is to lay the basis for a future generation of tools thatcould assist media professionals in the process of veri ca-tion. Examples of manipulation include the malicious tam-pering of images and videos, e.g., splicing, removal/additionof elements, while other kinds of misuse include the repost-ing of previously captured multimedia content in a di erentcontext (e.g., a new event) claiming that it was capturedthere. For the 2015 edition of the task, we have generatedand make available a large corpus of past real-world casesof images that were distributed through tweets, along withmanually assigned labels regarding their use, i.e. malicious(fake) versus appropriate (real).},
	author = {Boididou, Christina and Andreadou, Katerina and Papadopoulos, Symeon and Dang-Nguyen, Duc-Tien and Boato, Giulia and Riegler, Michael and Kompatsiaris, Yiannis}
}
@inproceedings {2660120,
	title = {A Crowdsourced Data Set of Edited Images Online},
	journal = {CrowdMM {\textquoteright}14: Proceedings of the 2014 International ACM Workshop on Crowdsourcing for Multimedia},
	year = {2014},
	pages = {49{\textendash}52},
	publisher = {ACM},
	address = {New York, NY, USA},
	isbn = {978-1-4503-3128-9},
	doi = {http://doi.acm.org/10.1145/2660114.2660120},
	author = {Conotter, Valentina and Dang-Nguyen, Duc-Tien and Riegler, Michael and Boato, Giulia}
}
