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Most recent publications

M. Lux, M. Riegler, P. Halvorsen, D. Dang-Nguyen and M. Potthast

Challenges for Multimedia Research in E-Sports Using Counter-Strike

In Savegame, 197-206. Springer VS, Wiesbaden, 2019.
Book Chapter
2019
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F. M. Noori, E. Garcia-Ceja, M. Z. Uddin, M. Riegler and J. Tørresen

Fusion of multiple representations extracted from a single sensor’s data for activity recognition using CNNs

In 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, 2019.
Proceedings, refereed
2019
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F. M. Noori, S. Kahlon, P. Lindner, T. Nordgreen, J. Torresen and M. Riegler

Heart Rate Prediction from Head Movement during Virtual Reality Treatment for Social Anxiety

In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2019.
Proceedings, refereed
2019
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K. Bahirat, Y. Chung, T. Annaswamy, G. Raval, K. Desai, B. Prabhakaran and M. Riegler

Using Mr. MAPP for Lower Limb Phantom Pain Management

In Proceedings of the 27th ACM International Conference on Multimedia. ACM, 2019.
Proceedings, refereed
2019
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Selected publications

M. Riegler, M. Lux and C. Kofler

How 'How' Reflects What's What: Content-based Exploitation of How Users Frame Social Images

In MM '14: Proceedings of the ACM International Conference on Multimedia. New York, NY, USA: ACM, 2014.
Proceedings, refereed
2014
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M. Riegler, L. Calvet, A. Calvet, P. Halvorsen and C. Griwodz

Exploitation of Producer Intent in Relation to Bandwidth and QoE for Online Video Streaming Services

In NOSSDAV at Multimedia Systems Conference . Portland, USA: ACM, 2015.
Proceedings, refereed
2015
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M. Riegler, K. Pogorelov, S. L. Eskeland, P. T. Schmidt, Z. Albisser, D. Johansen, C. Griwodz, P. Halvorsen and T. de Lange

From Annotation to Computer-Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System

ACM Transactions on Multimedia Computing, Communications, and Applications 13, no. 3 (2017).
Journal Article
2017
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M. Riegler, C. Griwodz, C. Spampinato, T. de Lange, S. L. Eskeland, K. Pogorelov, W. Tavanapong, P. T. Schmidt, C. Gurrin, D. Johansen et al.

Multimedia and Medicine: Teammates for Better Disease Detection and Survival

In ACM Multimedia. Amsterdam, The Netherlands, The Netherlands: ACM, 2016.
Proceedings, refereed
2016
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News

30 October 2019
People

Konstantin Pogorelov successfully defended his PhD

Available Master's topics

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2019

Journal articles

K. Ahmad, K. Pogorelov, M. Riegler, O. Ostroukhova, P. Halvorsen, N. Conci and R. Dahyot

Automatic detection of passable roads after floods in remote sensed and social media data

Signal Processing: Image Communication (2019).
Status: Accepted
K. Ahmad, K. Pogorelov, M. Riegler, N. Conci and P. Halvorsen

Social media and satellites: Disaster event detection, linking and summarization

MULTIMEDIA TOOLS AND APPLICATIONS 78 (2019): 2837-2875.
Status: Published
K. Ahmad, K. Pogorelov, M. Riegler, N. Conci and P. Halvorsen

Social media and satellites

Multimedia Tools and Applications 78 (2019): 2837-2875.
Status: Published
E. Garcia-Ceja, M. Riegler, A. K. Kvernberg and J. Torresen

User-adaptive models for activity and emotion recognition using deep transfer learning and data augmentation

User Modeling and User-Adapted Interaction (2019): 1-29.
Status: Published
C. Gurrin, T. Minh-Triet, J. Lokoč, W. Hürst, K. Schoeffmann, H. Joho, A. Leibetseder, L. Zhou, A. Duane, D. Duc-Tien et al.

映像情報メディア学会英語論文誌

映像情報メディア学会英語論文誌 7 (2019): 46-59.
Status: Published
C. Gurrin, K. Schoeffmann, H. Joho, A. Leibetseder, L. Zhou, A. Duane, D. Dang-Nguyen, M. Riegler, L. Piras, et al.

[Invited papers] Comparing Approaches to Interactive Lifelog Search at the Lifelog Search Challenge (LSC2018)

ITE Transactions on Media Technology and Applications 7 (2019): 46-59.
Status: Published
S. Hicks, P. Smedsrud, M. Riegler, T. de Lange, A. Petlund, S. L. Eskeland, K. Pogorelov, P. T. Schmidt and P. Halvorsen

Deep Learning for Automatic Generation of Endoscopy Reports

Gastrointestinal Endoscopy 89, no. 6 (2019).
Status: Accepted
S. Hicks, J. M. Andersen, O. Witczak, V. Thambawita, P. Halvorsen, H. L. Hammer, T. B. Haugen and M. Riegler

Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction

Nature Scientific Reports (2019).
Status: Accepted
S. Hicks, J. M. Andersen, O. Witczak, V. Thambawita, P. Halvorsen, H. L. Hammer, T. B. Haugen and M. Riegler

Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction

Nature Scientific Reports (2019).
Status: Accepted
P. Jakobsen, O. Fasmer, M. Riegler, E. Garcia-Ceja, T. Henriksen, T. McInnis and J. Oedegaard

The detecting and predicting mood transitions in bipolar disorder study protocol (a sub-study of the Introducing Mental Health through Adaptive Technology (INTROMAT) project)

BIPOLAR DISORDERS 21 (2019): 68-69.
Status: Published