@inproceedings {43291,
	title = {ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset},
	journal = {International Conference on Multimedia Modeling (MMM)},
	volume = {13833},
	year = {2023},
	pages = {502 - 514},
	publisher = {Springer International Publishing},
	address = {Cham},
	abstract = {Nowadays, most people have a smartphone that can track their everyday activities. Furthermore, a significant number of people wear advanced smartwatches to track several vital biomarkers in addition to activity data. However, it is still unclear how these data can actually be used to improve certain aspects of people{\textquoteright}s lives. One of the key challenges is that the collected data is often massive and unstructured. Therefore, a link to other important information (e.g., when, what, and how much food was consumed) is required. It is widely believed that such detailed and structured longitudinal data about a person is essential to model and provide personalized and precise guidance. Despite the strong belief of researchers about the power of such a data-driven approach, respective datasets have been difficult to collect. In this study, we present a unique dataset from two individuals performing a structured data collection over eight and a half months. In addition to the sensor data, we collected their nutrition, training, and well-being data. The availability of nutrition data with many other important objectives and subjective longitudinal data streams may facilitate research related to food for a healthy lifestyle. Thus, we present a sport, nutrition, and lifestyle logging dataset called\&nbsp;ScopeSense\&nbsp;from two individuals and discuss its potential use. The dataset is fully open for researchers, and we consider this study as a potential starting point for developing methods to collect and create knowledge for a larger cohort of people.},
	isbn = {978-3-031-27076-5},
	issn = {0302-9743},
	doi = {10.1007/978-3-031-27077-210.1007/978-3-031-27077-2_39},
	url = {https://link.springer.com/content/pdf/10.1007/978-3-031-27077-2https://link.springer.com/content/pdf/10.1007/978-3-031-27077-2.pdfhttps://link.springer.com/10.1007/978-3-031-27077-2_39https://link.springer.com/content/pdf/10.1007/978-3-031-27077-2_39},
	author = {Riegler, Michael and Thambawita, Vajira and Chatterjee, Ayan and Nguyen, Thu and Hicks, Steven and Telle-Hansen, Vibeke and Svein Arne {Pettersen} and Johansen, Dag and Jain, Ramesh and Halvorsen, P{\r a}l},
	editor = {Dang-Nguyen, Duc-Tien and Gurrin, Cathal and Larson, Martha and Alan F. {Smeaton} and Rudinac, Stevan and Dao, Minh-Son and Trattner, Christoph and Chen, Phoebe}
}
@inproceedings {42708,
	title = {Is More Realistic Better? A Comparison of Game Engine and GAN-based Avatars for Investigative Interviews of Children},
	journal = {ICDAR {\textquoteright}22: Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval},
	year = {2022},
	pages = {41-49},
	publisher = {ACM},
	address = {New York, NY, USA},
	isbn = {9781450392419},
	doi = {10.1145/351273110.1145/3512731.3534209},
	url = {https://dl.acm.org/doi/proceedings/10.1145/3512731},
	author = {Salehi, Pegah and Syed Zohaib {Hassan} and Saeed Shafiee {Sabet} and Gunn Astrid {Baugerud} and Miriam Sinkerud {Johnson} and Halvorsen, P{\r a}l and Riegler, Michael},
	editor = {Dao, Minh-Son and Dang-Nguyen, Duc-Tien and Riegler, Michael}
}
@inproceedings {28008,
	title = {Multimodal Virtual Avatars for Investigative Interviews with Children},
	journal = {Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR {\textquoteright}21)},
	year = {2021},
	publisher = {ACM},
	address = {New York, NY, USA},
	abstract = {In this article, we present our ongoing work in the field of training police officers who conduct interviews with abused children. The objectives in this context are to protect vulnerable children from abuse, facilitate prosecution of offenders, and ensure that innocent adults are not accused of criminal acts. There is therefore a need for more data that can be used for improved interviewer training to equip police with the skills to conduct high-quality interviews. To support this important task, we propose to research a training program that utilizes different system components and multimodal data from the field of artificial intelligence such as chatbots, generation of visual content, text-to-speech, and speech-to-text. This program will be able to generate an almost unlimited amount of interview and also training data. The goal of combining all these different technologies and datatypes is to create an immersive and interactive child avatar that responds in a realistic way, to help to support the training of police interviewers, but can also produce synthetic data of interview situations that can be used to solve different problems in the same domain.},
	isbn = {9781450385299},
	doi = {10.1145/346394410.1145/3463944.3469269},
	url = {https://dl.acm.org/doi/proceedings/10.1145/3463944},
	author = {Gunn Astrid {Baugerud} and Miriam S. {Johnson} and Ragnhild Klingenber {R{\o}ed} and Michael E. {Lamb} and Powell, Martine and Thambawita, Vajira and Hicks, Steven and Salehi, Pegah and Syed Zohaib {Hassan} and Halvorsen, P{\r a}l and Riegler, Michael},
	editor = {Dao, Minh-Son and Dang-Nguyen, Duc-Tien and Riegler, Michael}
}
@inproceedings {28225,
	title = {Temperature Forecasting using Tower Networks},
	journal = {Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval},
	year = {2021},
	month = {08/2021},
	pages = {18-23},
	publisher = {Association for Computing Machinery},
	address = {New York, NY, USA},
	isbn = {9781450385299},
	doi = {10.1145/346394410.1145/3463944.3469099},
	url = {https://dl.acm.org/doi/proceedings/10.1145/3463944https://dl.acm.org/doi/10.1145/3463944.3469099https://dl.acm.org/doi/pdf/10.1145/3463944.3469099},
	author = {Siri S. {Eide} and Riegler, Michael and Hugo Lewi {Hammer} and John Bj{\o}rnar {Bremnes}},
	editor = {Dao, Minh-Son and Dang-Nguyen, Duc-Tien and Riegler, Michael}
}
@inproceedings {27473,
	title = {ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications},
	journal = {European Conference on Information Retrieval},
	year = {2020},
	pages = {533 - 541},
	publisher = {Springer International Publishing},
	address = {Cham},
	abstract = {This paper presents an overview of the 2020 ImageCLEF lab that will be organized as part of the Conference and Labs of the Evaluation Forum{\textemdash}CLEF Labs 2020 in Thessaloniki, Greece. ImageCLEF is an ongoing evaluation initiative (run since 2003) that promotes the evaluation of technologies for annotation, indexing and retrieval of visual data with the aim of providing information access to large collections of images in various usage scenarios and domains. In 2020, the 18th edition of ImageCLEF will organize four main tasks: (i) a\&nbsp;Lifelog\&nbsp;task (videos, images and other sources) about daily activity understanding, retrieval and summarization, (ii) a\&nbsp;Medical\&nbsp;task that groups three previous tasks (caption analysis, tuberculosis prediction, and medical visual question answering) with new data and adapted tasks, (iii) a\&nbsp;Coral\&nbsp;task about segmenting and labeling collections of coral images for 3D modeling, and a new (iv)\&nbsp;Web user interface\&nbsp;task addressing the problems of detecting and recognizing hand drawn website UIs (User Interfaces) for generating automatic code. The strong participation, with over 235 research groups registering and 63 submitting over 359 runs for the tasks in 2019 shows an important interest in this benchmarking campaign. We expect the new tasks to attract at least as many researchers for 2020.},
	isbn = {978-3-030-45441-8},
	issn = {0302-9743},
	doi = {10.1007/978-3-030-45442-5_69},
	url = {https://link.springer.com/chapter/10.1007/978-3-030-45442-5_69},
	author = {Ionescu, Bogdan and M{\"u}ller, Henning and P{\'e}teri, Renaud and Dang-Nguyen, Duc-Tien and Zhou, Liting and Piras, Luca and Riegler, Michael and Halvorsen, P{\r a}l and Tran, Minh-Triet and Lux, Mathias and Gurrin, Cathal and Chamberlain, Jon and Clark, Adrian and Campello, Antonio and Alba G. Seco {de Herrera} and Ben Abacha, Asma and Datla, Vivek and Sadid A. {Hasan} and Liu, Joey and Demner-Fushman, Dina and Pelka, Obioma and Christoph M. {Friedrich} and Yashin Dicente {Cid} and Kozlovski, Serge and Liauchuk, Vitali and Kovalev, Vassili and Berari, Raul and Brie, Paul and Fichou, Dimitri and Dogariu, Mihai and Liviu Daniel {Stefan} and Mihai Gabriel {Constantin}},
	editor = {Joemon M. {Jose} and Yilmaz, Emine and Magalh{\~a}es, Jo{\~a}o and Castells, Pablo and Ferro, Nicola and M{\'a}rio J. {Silva} and Martins, Fl{\'a}vio}
}
@inproceedings {ninh2020overview,
	title = {Overview of ImageCLEF lifelog 2020: lifelog moment retrieval and sport performance lifelog},
	journal = {CLEF2020 },
	year = {2020},
	publisher = {CEUR Workshop Proceedings},
	author = {Ninh, Van-Tu and Le, Tu-Khiem and Zhou, Liting and Piras, Luca and Riegler, Michael and Halvorsen, P{\r a}l and Tran, Minh-Triet and Lux, Mathias and Gurrin, Cathal and Dang-Nguyen, Duc-Tien}
}
@inproceedings {27644,
	title = {Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications},
	journal = {CLEF 2020},
	volume = {12260},
	year = {2020},
	pages = {311 - 341},
	publisher = {Springer International Publishing},
	address = {Cham},
	abstract = {This paper presents an overview of the 2020 ImageCLEF lab that will be organized as part of the Conference and Labs of the Evaluation Forum{\textemdash}CLEF Labs 2020 in Thessaloniki, Greece. ImageCLEF is an ongoing evaluation initiative (run since 2003) that promotes the evaluation of technologies for annotation, indexing and retrieval of visual data with the aim of providing information access to large collections of images in various usage scenarios and domains. In 2020, the 18th edition of ImageCLEF will organize four main tasks: (i) a\&nbsp;Lifelog\&nbsp;task (videos, images and other sources) about daily activity understanding, retrieval and summarization, (ii) a\&nbsp;Medical\&nbsp;task that groups three previous tasks (caption analysis, tuberculosis prediction, and medical visual question answering) with new data and adapted tasks, (iii) a\&nbsp;Coral\&nbsp;task about segmenting and labeling collections of coral images for 3D modeling, and a new (iv)\&nbsp;Web user interface\&nbsp;task addressing the problems of detecting and recognizing hand drawn website UIs (User Interfaces) for generating automatic code. The strong participation, with over 235 research groups registering and 63 submitting over 359 runs for the tasks in 2019 shows an important interest in this benchmarking campaign. We expect the new tasks to attract at least as many researchers for 2020.},
	isbn = {978-3-030-58218-0},
	issn = {0302-9743},
	doi = {10.1007/978-3-030-58219-710.1007/978-3-030-58219-7_22},
	url = {https://doi.org/10.1007/978-3-030-58219-7_22},
	author = {Ionescu, Bogdan and M{\"u}ller, Henning and P{\'e}teri, Renaud and Ben Abacha, Asma and Datla, Vivek and Sadid A. {Hasan} and Demner-Fushman, Dina and Kozlovski, Serge and Liauchuk, Vitali and Yashin Dicente {Cid} and Kovalev, Vassili and Pelka, Obioma and Christoph M. {Friedrich} and Alba Garc{\'\i}a Se {de Herrera} and Ninh, Van-Tu and Le, Tu-Khiem and Zhou, Liting and Piras, Luca and Riegler, Michael and Halvorsen, P{\r a}l and Tran, Minh-Triet and Lux, Mathias and Gurrin, Cathal and Dang-Nguyen, Duc-Tien and Chamberlain, Jon and Clark, Adrian and Campello, Antonio and Fichou, Dimitri and Berari, Raul and Brie, Paul and Dogariu, Mihai and Liviu Daniel {Stefan} and Mihai Gabriel {Constantin}},
	editor = {Arampatzis, Avi and Kanoulas, Evangelos and Tsikrika, Theodora and Vrochidis, Stefanos and Joho, Hideo and Lioma, Christina and Eickhoff, Carsten and N{\'e}v{\'e}ol, Aur{\'e}lie and Cappellato, Linda and Ferro, Nicola}
}
@inproceedings {26858,
	title = {ACM Multimedia BioMedia 2019 Grand Challenge Overview},
	journal = {The ACM International Conference on Multimedia (ACM MM)},
	year = {2019},
	month = {10/2019},
	pages = {2563-2567},
	publisher = {ACM Press},
	address = {New York, New York, USA},
	abstract = {The BioMedia 2019 ACM Multimedia Grand Challenge is the first in a series of competitions focusing on the use of multimedia for different medical use-cases. In this year{\textquoteright}s challenge, the participants are asked to develop efficient algorithms which automatically detect a variety of findings commonly identified in the gastrointestinal (GI) tract (a part of the human digestive system). The purpose of this task is to develop methods to aid medical doctors performing routine endoscopy inspections of the GI tract. In this paper, we give a detailed description of the four different tasks of this year{\textquoteright}s challenge, present the datasets used for training and testing, and discuss how each submission is evaluated both qualitatively and quantitatively.},
	isbn = {9781450368896},
	doi = {10.1145/334303110.1145/3343031.3356058},
	url = {http://dl.acm.org/citation.cfm?doid=3343031http://dl.acm.org/citation.cfm?doid=3343031.3356058http://dl.acm.org/ft_gateway.cfm?id=3356058\&ftid=2092095\&dwn=1},
	author = {Hicks, Steven and Petlund, Andreas and de Lange, Thomas and Peter Thelin {Schmidt} and Halvorsen, P{\r a}l and Riegler, Michael and Pia H. {Smedsrud} and Trine B. {Haugen} and Kristin Ranheim {Randel} and Pogorelov, Konstantin and H{\r a}kon Kvale {Stensland} and Dang-Nguyen, Duc-Tien and Lux, Mathias},
	editor = {Larson, Martha and Gravier, Guillaume and Hung, Hayley and Ngo, Chong-Wah and Wei Tsang {Ooi}}
}
@inbook {27154,
	title = {Challenges for Multimedia Research in E-Sports Using Counter-Strike Global Offensive as an Example},
	booktitle = {Savegame},
	volume = {4},
	year = {2019},
	pages = {197 - 206},
	publisher = {Springer Fachmedien Wiesbaden},
	organization = {Springer Fachmedien Wiesbaden},
	address = {Wiesbaden},
	abstract = {That video and computer games have reached the masses is a well-known fact. However, game streaming and, therefore, watching other people play videogames has also outgrown its humble beginnings by far. Game streams, be it live or recorded, are viewed by millions. Many of the streams are broadcasting competitive multiplayer games. This is called e-sports and it is very similar to sports broadcasting. E-sports is organized in leagues and tournaments in which players can compete in controlled environments and viewers can experience the matches, discuss and criticize just like in physical sports. In this paper, we look into the challenges for computer science in general and multimedia research in particular. The multimedia research community has done a lot of work on video streaming, broadcasting and analyzing the audience, but has missed the opportunity to investigate e-sports in detail. We focus on one particular game we deem representative for e-sports,\&nbsp;Counter-Strike: Global Offensive, and investigate how the audience consumes game streams from competitive tournaments.},
	isbn = {978-3-658-27394-1},
	issn = {2524-3241},
	doi = {10.1007/978-3-658-27395-8_13},
	url = {http://link.springer.com/10.1007/978-3-658-27395-8_13},
	author = {Lux, Mathias and Riegler, Michael and Halvorsen, P{\r a}l and Dang-Nguyen, Duc-Tien and Potthast, Martin},
	editor = {Elmenreich, Wilfried and Ren{\'e} Reinhold {Schallegger} and Schniz, Felix and Gabriel, Sonja and P{\"o}lsterl, Gerhard and Wolfgang B. {Ruge}}
}
@article {gurrin2019invited,
	title = {Comparing Approaches to Interactive Lifelog Search at the Lifelog Search Challenge (LSC2018)},
	journal = {ITE Transactions on Media Technology and Applications},
	volume = {7},
	number = {2},
	year = {2019},
	pages = {46{\textendash}59},
	publisher = {The Institute of Image Information and Television Engineers},
	author = {Gurrin, Cathal and Schoeffmann, Klaus and Joho, Hideo and Leibetseder, Andreas and Zhou, Liting and Duane, Aaron and Dang-Nguyen, Duc-Tien and Riegler, Michael and Piras, Luca and ,  and Tran, Minh-Triet}
}
@inproceedings {27106,
	title = {GameStory Task at MediaEval 2019},
	journal = {Proceedings of MediaEval 2019},
	year = {2019},
	month = {10/2019},
	publisher = {CEUR Workshop Proceedings (CEUR-WS.org)},
	abstract = {Game video streams are watched by millions, so that, meanwhile, one can make a living from broadcasting and commenting video games, whereas some have become professional e-sports athletes. E-sports leagues and tournaments have emerged worldwide, where players compete in controlled environments, streaming the matches online, and allowing the audience to discuss and criticize the game- play. In the GameStory task, held for the second time at MediaEval, we foster research into this exciting domain. Our focus is on an- alyzing and summarizing video game streams. With the help of\&nbsp;ZNIPE.tv, we compiled a high-quality dataset of a\&nbsp;Counter-Strike: Global Offensive\&nbsp;tournament alongside ground truth labels for two analysis tasks, forming a basis for summarization.},
	author = {Lux, Mathias and Riegler, Michael and Dang-Nguyen, Duc-Tien and Pirker, Johanna and Potthast, Martin and Halvorsen, P{\r a}l}
}
@inproceedings {ionescu2019imageclef,
	title = {ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications},
	journal = {European Conference on Information Retrieval},
	year = {2019},
	month = {02/2019},
	pages = {301{\textendash}308},
	publisher = {Springer},
	author = {Ionescu, Bogdan and M{\"u}ller, Henning and P{\'e}teri, Renaud and Dang-Nguyen, Duc-Tien and Piras, Luca and Riegler, Michael and Tran, Minh-Triet and Lux, Mathias and Gurrin, Cathal and Yashin Dicente {Cid}}
}
@inproceedings {ninh2019lifer,
	title = {LIFER 2.0: Discovering Personal Lifelog Insights using an Interactive Lifelog Retrieval System},
	journal = {CLEF2019 Working Notes},
	year = {2019},
	publisher = {CEUR Workshop Proceedings (CEUR-WS.org)},
	author = {Ninh, Van-Tu and Le, Tu-Khiem and Zhou, Liting and Piras, Luca and Riegler, Michael and Lux, Mathias and Tran, Minh-Triet and Gurrin, Cathal and Dang-Nguyen, Duc-Tien}
}
@inproceedings {26931,
	title = {Medico Multimedia Task at MediaEval 2019},
	journal = {MediaEval},
	year = {2019},
	publisher = {CEUR Workshop Proceedings},
	abstract = {The Medico: Multimedia for Medicine Task\&nbsp;is running for the third time as part of MediaEval 2019. This year, we have changed the task from anomaly detection in images of the gastrointestinal tract to focus on the automatic prediction of human semen quality based on videos. The purpose of this task is to aid in the assessment of male reproductive health by providing a quick and consisted method of analyzing human semen. In this paper, we describe the task in detail, give a brief description of the provided dataset, and discuss the evaluation process and the metrics used to rank the submissions of the participants.},
	author = {Hicks, Steven and Halvorsen, P{\r a}l and Trine B. {Haugen} and Jorunn M. {Andersen} and Witczak, Oliwia and Pogorelov, Konstantin and Hugo Lewi {Hammer} and Dang-Nguyen, Duc-Tien and Lux, Mathias and Riegler, Michael}
}
@inproceedings {dang2019overview,
	title = {Overview of ImageCLEFlifelog 2019: solve my life puzzle and lifelog moment retrieval},
	journal = {CLEF2019 Working Notes},
	volume = {2380},
	year = {2019},
	pages = {09{\textendash}12},
	publisher = {CEUR Workshop Proceedings (CEUR-WS.org)},
	author = {Dang-Nguyen, Duc-Tien and Piras, Luca and Riegler, Michael and Tran, Minh-Triet and Zhou, Liting and Lux, Mathias and Le, Tu-Khiem and Ninh, Van-Tu and Gurrin, Cathal}
}
@inproceedings {26929,
	title = {Predicting Sperm Motility and Morphology using Deep Learning and Handcrafted Features},
	journal = {MediaEval},
	year = {2019},
	publisher = {ceur ws org},
	abstract = {This paper presents the approach proposed by the organizer team (SimulaMet) for MediaEval 2019 Multimedia for Medicine: The Medico Task. The approach uses a data preparation method which is based on global features extracted from multiple frames within each video and then combines this with information about the patient in order to create a compressed representation of each video. The goal is to create a less hardware expensive data representation that still retains the temporal information of the video and related patient data. Overall, the results need some improvement before being a viable option for clinical use.},
	author = {Hicks, Steven and Halvorsen, P{\r a}l and Trine B. {Haugen} and Jorunn M. {Andersen} and Witczak, Oliwia and Pogorelov, Konstantin and Hugo Lewi {Hammer} and Dang-Nguyen, Duc-Tien and Lux, Mathias and Riegler, Michael}
}
@inproceedings {26172,
	title = {Challenges and Opportunities within Personal Life Archives},
	journal = {Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval},
	year = {2018},
	month = {07/2018},
	pages = {335-343},
	publisher = {ACM Press},
	address = {New York, NY, USA},
	abstract = {Nowadays, almost everyone holds some form or other of a personal life archive. Automatically maintaining such an archive is an activity that is becoming increasingly common, however without automatic support the users will quickly be overwhelmed by the volume of data and will miss out on the potential benefits that lifelogs provide. In this paper we give an overview of the current status of lifelog research and propose a concept for exploring these archives. We motivate the need for new methodologies for indexing data, organizing content and supporting information access. Finally we will describe challenges to be addressed and give an overview of initial steps that have to be taken, to address the challenges of organising and searching personal life archives.},
	isbn = {9781450350464},
	doi = {10.1145/3206025.3206040},
	url = {http://dl.acm.org/citation.cfm?doid=3206025},
	author = {Dang-Nguyen, Duc-Tien and Riegler, Michael and Zhou, Liting and Gurrin, Cathal},
	editor = {Aizawa, Kiyoharu and Lew, Michael and Satoh, Shin{\textquoteright}ichi}
}
@inproceedings {dang2018overview,
	title = {Overview of ImageCLEFlifelog 2018: daily living understanding and lifelog moment retrieval},
	journal = {Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum},
	year = {2018},
	month = {09/2018},
	publisher = {CEUR Workshop Proceedings},
	address = {Avignon, France},
	url = {http://ceur-ws.org/Vol-2125/},
	author = {Dang-Nguyen, Duc-Tien and Piras, Luca and Riegler, Michael and Zhou, Liting and Lux, Mathias and Gurrin, Cathal},
	editor = {Cappellato, Linda}
}
