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Special Session
Special Session on
INsights DiscovEry from LifElog Data
 - INDEED 2018

16 - 18 January, 2018 - Funchal, Madeira, Portugal

Within the 7th International Conference on Pattern Recognition Applications and Methods - ICPRAM 2018


Luca Piras
Department of Electrical and Electronic Engineering, University of Cagliari

Brief Bio
Luca Piras obtained the Ph.D. degree and the certificate of European Doctorate in Electronic and Computer Engineering from the University of Cagliari, Italy, in 2011 and he is research associate at the Department of Electrical and Electronic Engineering of the University of Cagliari since March 2012. His main area of expertise is on analysis and automatic classification of multimedia documents, content-based image retrieval and relevance feedback techniques. He joined the research group on Pattern Recognition and Applications since 2007 and is a member of the IEEE, ACM, and IAPR. Since October 2012, Luca Piras teaches courses on Computer Science in the MSc and BSc courses on Healthcare Assistance at the University of Cagliari. He is a member of the program committee in a number of conferences in the field of pattern recognition and its applications, and regularly acts as a reviewer.
Duc-Tien Dang-Nguyen
DISI, Dublin City University

Brief Bio
Dr. Markus Helfert is the Director of the Business Informatics Research Group and an Associate Professor in Information Systems at Dublin City University. He is funded Investigator at Lero – The Irish Software Research Centre ( His interests relate to Information Quality, Innovation and Information Management and Analytics. His work has been published in international journals, books and conferences. Markus is currently involved in national and international projects related to these areas, and has worked with and advised many companies on Information Management related challenges. Markus Helfert holds a PhD in business administration from the University of St. Gallen, a Master-Diploma in business informatics from the University Mannheim and a Bachelor of Science from Napier University, Edinburgh.
Michael Alexander Riegler
University of Oslo

Brief Bio
Michael Alexander Riegler is a PhD student at Simula Research Laboratory. He received his master degree from the Klagenfurt University with distinction. His master thesis was about large scale content based image retrieval. He wrote it at the Technical University of Delft under the supervision of Martha Larson. He is a part of the EONS project at the Media Performance Group. His research interests are endoscopic video analysis and understanding, image processing, image retrieval, parallel processing, gamification and serious games, crowdsourcing, social computing and user intentions. Furthermore he is involved in several initiatives like the MediaEval Benchmarking initiative for Multimedia Evaluation.


In the recent years, lifelogging is rapidly becoming a mainstream research topic. With the rich data captured over a long period of time, these heterogeneous digital lifelogs will require both advanced methods that can provide an insight of the activities of an individual, and systems capable of managing this huge amount of data. A lot of challenges await the scientific community from both the ethical and technological viewpoints. The aim of this special session is to draw together researchers involved in the development of methods for this new and challenging area. The seeked contributions can be either methodological on learning and data analysis (e.g., active and adaptive learning, hypothesis generation, etc.) or focused on solving real world challenges.

Multimedia data analytics Search and retrieval 
User experience 
Real-world applications 
Captology from personal data 
Egocentric vision and first-person camera vision


Paper Submission: November 15, 2017 (expired)
Authors Notification: November 23, 2017 (expired)
Camera Ready and Registration: December 1, 2017 (expired)


Giulia Boato, DISI, University of Trento, Italy
Mihai Dogariu, University Politehnica of Bucharest, Romania
Giorgio Giacinto, Dept. of Electrical and Electronic Eng, University of Cagliari, Italy
Frank Hopfgartner, University of Glasgow, United Kingdom
Mathias Lux, Institute for Information Technology, University of Klagenfurt, Austria
Ana Molino, Institute for Infocomm Research, Singapore
Lorenzo Putzu, University of Cagliari, Italy
Michael Riegler, Simula Research Laboratory, Norway
Liting Zhou, insight, DCU, Ireland

(list not yet complete)


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by DBLP, Web of Science / Conference Proceedings Citation Index, EI and SCOPUS.
SCITEPRESS is a member of CrossRef ( and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library


ICPRAM Special Sessions - INDEED 2018