@inproceedings {42546,
	title = {ICDAR{\textquoteright}22: Intelligent Cross-Data Analysis and Retrieval},
	journal = {2022 International Conference on Multimedia Retrieval},
	year = {2022},
	month = {06/2022},
	publisher = {ACM},
	address = {2022, Newark, NJ, USA},
	abstract = {We have witnessed the rise of cross-data against multimodal dataproblems recently. The cross-modal retrieval system uses a textualquery to look for images; the air quality index can be predictedusing lifelogging images; the congestion can be predicted usingweather and tweets data; daily exercises and meals can help topredict the sleeping quality are some examples of this researchdirection. Although vast investigations focusing on multimodal dataanalytics have been developed, few cross-data (e.g., cross-modaldata, cross-domain, cross-platform) research has been carried on.In order to promote intelligent cross-data analytics and retrievalresearch and to bring a smart, sustainable society to human beings,the specific article collection on "Intelligent Cross-Data Analysisand Retrieval" is introduced. This Research Topic welcomes thosewho come from diverse research domains and disciplines such aswell-being, disaster prevention and mitigation, mobility, climatechange, tourism, healthcare, and food computing.},
	author = {Dao, Minh-Son and Riegler, Michael and Dang-Nguyen, Duc-Tien and Gurrin, Cathal and Nakashima, Yuta and Dong, Mianxiong}
}
@inproceedings {26168,
	title = {Overview of ImageCLEF 2018: Challenges, datasets and evaluation},
	journal = {ImageCLEF 2018},
	year = {2018},
	month = {08/2018},
	publisher = { Springer},
	abstract = {This paper presents an overview of the ImageCLEF 2018 evaluation campaign, an event that was organized as part of the CLEF (Conference and Labs of the Evaluation Forum) Labs 2018. ImageCLEF is an ongoing initiative (it started in 2003) that promotes the evaluation of technologies for annotation, indexing and retrieval with the aim of providing information access to collections of images in various usage scenarios and domains. In 2018, the 16th edition of ImageCLEF ran three main tasks and a pilot task: (1) a\&nbsp;caption prediction\&nbsp;task that aims at predicting the caption of a figure from the biomedical literature based only on the figure image; (2) a\&nbsp;tuberculosis\&nbsp;task that aims at detecting the tuberculosis type, severity and drug resistance from CT (Computed Tomography) volumes of the lung; (3) a\&nbsp;LifeLog\&nbsp;task (videos, images and other sources) about daily activities understanding and moment retrieval, and (4) a pilot task on\&nbsp;visual question answering\&nbsp;where systems are tasked with answering medical questions. The strong participation, with over 100 research groups registering and 31 submitting results for the tasks, shows an increasing interest in this benchmarking campaign.},
	url = {https://link.springer.com/chapter/10.1007/978-3-319-98932-7_28},
	author = {Ionescu, Bogdan and M{\"u}ller, Henning and Villegas, Mauricio and Alba Garc{\'\i}a Se {de Herrera} and Eickhoff, Carsten and Andrearczyk, Vincent and Yashin Dicente {Cid} and Liauchuk, Vitali and Kovalev, Vassili and Sadid A {Hasan} and Ling, Yan and Farri, Oladimeji and Liu, Joey and Lungren, Matthew and Dang-Nguyen, Duc-Tien and Prias, Luca and Riegler, Michael and Zhou, Liting and Lux, Mathias and Gurrin, Cathal},
	editor = {Bellot, Patrice}
}
@inproceedings {25467,
	title = {Building a disclosed lifelog dataset: challenges, principles and processes},
	journal = {Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing (CBMI 2017)},
	year = {2017},
	month = {06/2017},
	publisher = {ACM/IEEE},
	doi = {10.1145/3095713.3095736},
	url = {http://doras.dcu.ie/21823/1/Dang-Nguyen_et_al._2017.pdf},
	author = {Nguyen, Dang and Tien, Duc and Zhou, Liting and Gupta, Rashmi and Riegler, Michael and Gurrin, Cathal},
	editor = {Bertini, Marco}
}
@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 {24990,
	title = {Smart Lifelogging: Recognizing Human Activities using PHASOR},
	journal = {Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods},
	year = {2017},
	month = {02/2017},
	pages = {761-768},
	publisher = {Spinger},
	address = {Portugal},
	isbn = {978-989-758-222-6},
	doi = {10.5220/0006320907610768},
	author = {Dang-Nguyen, Duc-Tien and Dao, Minh-Son and Riegler, Michael and Gurrin, Cathal},
	editor = {De Marsico, Maria and Gabriella Sanniti {di Baja} and Fred, Ana}
}
@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 {24641,
	title = {Multimedia and Medicine: Teammates for Better Disease Detection and Survival},
	journal = {ACM Multimedia},
	year = {2016},
	month = {10/2016},
	publisher = {ACM},
	address = {Amsterdam, The Netherlands, The Netherlands},
	doi = {http://dx.doi.org/10.1145/2964284.2976760},
	author = {Riegler, Michael and Griwodz, Carsten and Spampinato, Concetto and de Lange, Thomas and Sigrun L. {Eskeland} and Pogorelov, Konstantin and Tavanapong, Wallapak and Peter Thelin {Schmidt} and Gurrin, Cathal and Johansen, Dag and Johansen, H{\r a}vard and Halvorsen, P{\r a}l}
}
@inproceedings {albisser2015annotation,
	title = {Expert Driven Semi-Supervised Elucidation Tool for Medical Endoscopic Videos},
	journal = {Proceedings of the 6th ACM Multimedia Systems Conference},
	year = {2015},
	month = {03/2015},
	publisher = {ACM},
	author = {Albisser, Zeno and Riegler, Michael and Halvorsen, P{\r a}l and Zhou, Jiang and Griwodz, Carsten and Balasingham, Ilangko and Gurrin, Cathal}
}
@article {Simula.simula.708,
	title = {Search-Based Composition, Streaming and Playback of Video Archive Content},
	journal = {Multimedia Tools and Applications},
	number = {online first},
	year = {2011},
	abstract = {Locating content in existing video archives is both a time and bandwidth consuming process since users might have to download and manually watch large portions of superfluous videos. In this paper, we present two novel prototypes using an Internet based video composition and streaming system with a keyword-based search interface that collects, converts, analyses, indexes, and ranks video content. At user requests, the system can automatically sequence out portions of single videos or aggregate content from multiple videos to produce a single, personalized video stream on-the-fly.},
	doi = {10.1007/ s11042-011-0847-5},
	author = {Johansen, Dag and Halvorsen, P{\r a}l and Johansen, H{\r a}vard and Riiser, Haakon and Gurrin, Cathal and Olstad, Bj{\o}rn and Griwodz, Carsten and Kvalnes, {\r A}ge and Hurley, Joseph and Kupka, Tomas}
}
@inproceedings {Simula.mpg.22,
	title = {Composing Personalized Video Playouts Using Search},
	journal = {Proceedings of the International Workshop on Visual Content Identification and Search (VCIDS) - ICME workshops},
	year = {2010},
	month = {July},
	pages = {1534-1539},
	publisher = {IEEE},
	type = {Workshop},
	abstract = {We conjecture that composition of video events from various sources into personalized video playouts will become an important part of next generation streaming systems. Here, video search is a key component since it enables users to retrieve candidate video events based on their interests. One of the main challenges, however, is to analyze the videos in order to correctly identify the various events used to annotate and index the video data. Key problems with current video analysis solutions include that they 1) are complex and therefore require a lot of processing time resulting in large delays; 2) that they can only identify a limited set of events; and 3) that they are still too inaccurate, both giving false positives and failing to find all events. In our DAVVI prototype, we therefore extract metadata for our video search engine by combining existing automatic video analysis tools with currently untapped textual information available in the Internet. This provides an end-user experience where textual query results can be combined dynamically into seamless, highly personalized video playouts using an adaptive torrent-like HTTP streaming solution.},
	isbn = {978-1-4244-7491-2},
	author = {Johansen, Dag and Johansen, H{\r a}vard and Halvorsen, P{\r a}l and Olstad, Bj{\o}rn and Gurrin, Cathal and Griwodz, Carsten},
	editor = {Lu, Jian and Hua, Xian-Sheng and China Dong {Xu}}
}
@inproceedings {Simula.ND.391,
	title = {DAVVI: a Prototype for the Next Generation Multimedia Entertainment Platform},
	journal = {ACM Multimedia Conference},
	year = {2009},
	note = {Demo paper.},
	month = {October},
	pages = {989-990},
	publisher = {ACM},
	type = {Conference},
	abstract = {In this demo, we present DAVVI, a prototype of the next generation multimedia entertainment platform. It delivers multi-quality video content in a torrent-similar way like known systems from Move Networks, Microsoft and Apple do. However, it also provides a brand new, personalized user experience. Through applied search, personalization and recommendation technologies, end-users can efficiently search and retrieve highlights and combine arbitrary events in a customized manner using drag and drop. The created playlists of video segments are then delivered back to the system to improve future search and recommendation results. Here, we demonstrate this system using \mbox{a soccer example.}},
	isbn = {978-1-60558-608-3},
	author = {Johansen, Dag and Johansen, H{\r a}vard and Aarflot, Tjalve and Hurley, Joseph and Kvalnes, {\r A}ge and Gurrin, Cathal and Sav, Sorin and Olstad, Bj{\o}rn and Aaberg, Erik and Endestad, Tore and Riiser, Haakon and Griwodz, Carsten and Halvorsen, P{\r a}l},
	editor = {Gao, Wen and Rui, Yong and Hanjalic, Alan and Xu, Changsheng and Steinbach, Eckehard and Abdulmotaleb El {Saddik} and Zhou, Michelle}
}
@inproceedings {ND.6.Smeaton.2003,
	title = {Improving Retrieval Effectiveness Using the Genomic MeshTree},
	journal = {Proceedings of the 12th Annual TREC retrieval conference},
	year = {2003},
	type = {1},
	author = {Smeaton, A. and S{\o}dring, T. and Jones, G. and Gurrin, Cathal and Blott, S.}
}
@article {ND.4.Smeaton.2002,
	title = {Analysis of Papers From Twenty-Five Years of SIGIR Conferences: What Have We Been Doing for the Last Quarter of a Century?},
	journal = {SIGIR Forum},
	volume = {36},
	number = {2,},
	year = {2002},
	author = {Smeaton, A. and S{\o}dring, T. and McDonald, K. and Keogh, G. and Gurrin, Cathal}
}
