We have a strong connection to research institutes and universities, and we both participate in research projects and write scietific papers about our results and findings.
Externally funded research projects:
The AI-producer project (AI-based Video Clipping and Summarization of Sport Events, funded by RCN)
The AutoCap project (Automatic Anomaly Detection in Video Capsule Endoscopy, funded by RCN)
The Skylantern project (Live and on-Demand Tiled 360 Panorama Streaming, funded by Huawei Technologies Co., LTD.)
The DigSys pre-project (Non-Invasive, Scalable, Algorithmic Automatic Screening of the Digestive System, funded by RCN)
The VUE project (Video system for User Engagement based on in-video metadata, funded by RCN)
Scientific publications:
"Exploration of Different Time Series Models for Soccer Athlete Performance Prediction", Siarhei Kulakou, Nourhan Ragab, Cise Midoglu, Matthias Boeker, Dag Johansen, Michael A. Riegler, Pål Halvorsen, Engineering proceedings, Vol. 18, No. 1, 2022 [DOI: 10.3390/engproc2022018037]
Automatic Thumbnail Selection for Soccer Videos
using Machine Learning, Andreas Husa, Cise Midoglu, Malek Hammou, Steven A. Hicks, Dag Johansen, Tomas Kupka, Michael A. Riegler, and Pål Halvorsen, Proceedings of ACM Multimedia Systems Conference (MMSys), 2022 [DOI: 10.1145/3524273.3528182]
"HOST-ATS: automatic thumbnail selection with dashboard-controlled ML pipeline and dynamic user survey", Andreas Husa, Cise Midoglu, Malek Hammou, Pål Halvorsen, Michael A. Riegler, Proceedings of the ACM Multimedia Systems Conference (MMSYS), June 2022, pp. 334-340 [DOI: 10.1145/3524273.3532908]
MMSys'22 Grand Challenge on AI-based Video Production for Soccer, Cise Midoglu, Steven A. Hicks, Vajira Thambawita, Tomas Kupka, and Pål Halvorsen, arXiv:2202.01031, https://arxiv.org/abs/2202.01031, 2022
Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities, Olav Rongved, Markus Stige, Steven A Hicks, Vajira Thambawita, Cise Midoglu, Evi Zouganeli, Dag Johansen, Michael A Riegler, and Pål Halvorsen, Machine Learning and Knowledge Extraction, Volume 4, Issue 3, 2021, pp. 1030-1054 [DOI: 10.3390/make3040051]
AI-Based Video Clipping of Soccer Events, Joakim O. Valand, Haris Kadragic, Steven A. Hicks, Vajira L Thambawita, Cise Midoglu, Tomas Kupka, Dag Johansen, Michael A Riegler, and Pål Halvorsen, Machine Learning and Knowledge Extraction, Volume 3, Issue 4, December 2021, pp. 990-1008 [DOI: 10.3390/make3040049]
Automated Clipping of Soccer Events using Machine Learning, Joakim O. Valand, Haris Kadragic, Steven A. Hicks, Vajira Thambawita, Cise Midoglu,Tomas Kupka, Dag Johansen, Michael A. Riegler, and Pål Halvorsen, Proceeding of the IEEE International Symphosium of Multimedia (ISM), Virtual, December 2021 [DOI: 10.1109/ISM52913.2021.00042]
Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events, Olav A. Nergård Rongved, Steven A. Hicks, Vajira Thambawita, Håkon K. Stensland, Evi Zouganeli, Dag Johansen, Cise Midoglu, Michael A. Riegler, and Pål Halvorsen, International Journal of Semantic Computing, Vol. 15, No. 02, 2021, pp. 161-187 [DOI: 10.1142/S1793351X2140002X]
Real-Time Detection of Events in Soccer Videos using 3D Convolutional Neural Networks, Olav A. Nergård Rongved, Steven A. Hicks, Vajira Thambawita, Håkon K. Stensland, Evi Zouganeli, Dag Johansen, Michael A. Riegler, and Pål Halvorsen, Proceeding of the IEEE International Symphosium of Multimeida (ISM), Virtual, December 2020 [pdf] [DOI: 10.1109/ISM.2020.00030]
Scalable Infrastructure for Efficient Real-Time Sports Analytics, Håvard Johansen, Dag Johansen, Tomas Kupka, Michael A. Riegler and Pål Halvorsen , Proceedings of Workshop on Action Modelling for Interaction and Analysis in Smart Sports and Physical Education (MAIStroPE), October 2020 [pdf]
PMData: a sports logging dataset, Vajira Thambawita, Steven Alexander Hicks, Hanna Borgli, Håkon Stensland, Debesh Jha, Martin Kristoffer Svensen, Svein Arne Pettersen, Dag Johansen, Håvard Dagenborg Johansen, Susann Dahl Pettersen, Simon Nordvang, Sigurd Pedersen, Anders T Gjerdrum, Tor Morten Grønli, Per Morten Fredriksen, Ragnhild Eg, Kjeld Steenbjerg Hansen, Siri Fagernes, Christine Claudi, Andreas Biørn-Hansen, Duc Tien Nguyen, Tomas Kupka, Hugo Lewi Hammer, Ramesh Jain, Michael Riegler, and Pål Halvorsen, Proceedings of the ACM Multimedia Systems (MMSYS), Istanbul, Turkey, 2020 [pdf] [DOI: 10.1145/3339825.3394926]
Effcient Live and On-Demand Tiled HEVC 360 VR Video Streaming, Mattis Jeppsson, Håvard N. Espeland, Tomas Kupka, Ragnar Langseth, Andreas Petlund, Peng Qiaoqiao, Chuansong Xue, Dag Johansen, Konstantin Pogorelov, Håkon Stensland, Carsten Griwodz, Michael Riegler, and Pål Halvorsen, International Journal of Semantic Computing Vol. 13, No. 3, 2019, pp. 1–25 [DOI: 10.1142/S1793351X19400166]
Real-time Analysis of Physical Performance Parameters in Elite Soccer, Kim Andreassen, Dag Johansen, Håvard Johansen, Ivan Baptista, Svein A. Pettersen, Michael Riegler, and Pål Halvorsen, Proceedings of the ACM International Workshop on Content-Based Multimedia Indexing (CBMI), Dublin, Ireland, September 2019 [DOI: 10.1109/CBMI.2019.8877422]
Predicting Peek Readiness-to-Train of Soccer Players Using Long Short-Term Memory Recurrent Neural Networks, Theodor Wiik, Håvard D. Johansen, Svein-Arne Pettersen, Ivan Baptista, Tomas Kupka, Dag Johansen, Michael Riegler, and Pål Halvorsen, Proceedings of the ACM International Workshop on Content-Based Multimedia Indexing (CBMI), Dublin, Ireland, September 2019 [DOI: 10.1109/CBMI.2019.8877406]
Efficient Live and on-Demand Tiled HEVC 360 VR Video Streaming (Best paper award), Mattis Jeppsson, Håvard N. Espeland, Tomas Kupka, Ragnar Langseth, Andreas Petlund, Peng Qiaoqiao, Chuansong Xue, Konstantin Pogorelov, Michael Riegler, Dag Johansen, Carsten Griwodz, and Pål Halvorsen, Proceeding of IEEE International Symposium on Multimedia (ISM), Taichung, Taiwan, December 2018 [pdf]
"Quantified Soccer Using Positional Data: A Case Study", Svein A. Pettersen, Håvard D. Johansen, Ivan A. M. Baptista, Pål Halvorsen, and Dag Johansen, Frontiers in Physiology, Vol. 9, July 2018 [DOI: 10.3389/fphys.2018.00866]
Deep Learning and Hand-crafted Feature Based Approaches for Polyp Detection in Medical Videos (Best paper award), Konstantin Pogorelov, Olga Ostroukhova, Mattis Jeppsson, Håvard Espeland, Carsten Griwodz, Thomas de Lange, Dag Johansen, Michael Riegler, and Pål Halvorsen, Proceedings of International Symposium on Computer-Based Medical Systems (CBMS), Karlstad, Sweden, June 2018 [pdf]
Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding, Steven Alexander Hicks, Michael Riegler, Konstantin Pogorelov, Kim V. Ånonsen,Thomas de Lange, Dag Johansen, Mattis Jeppsson, Kristin Ranheim Randel, Sigrun Eskeland, and Pål Halvorsen, Proceedings of International Symposium on Computer-Based Medical Systems (CBMS), Karlstad, Sweden, June 2018 [pdf]
Mimir: An Automatic Reporting and Reasoning System for DeepLearning based Analysis in the Medical Domain, Steven Alexander Hicks, Sigrun Eskeland, Mathias Lux, Thomas de Lange, Kristin Ranheim Randel, Mattis Jeppsson, Konstantin Pogorelov, Pål Halvorsen, and Michael Riegler, Proceedings of ACM Multimedia Systems (MMSYS), Amsterdam, The Netherlands, June 2018 [pdf] [DOI: 10.1145/3204949.3208129]
Comprehensible Reasoning and Automated Reporting of Medical Examinations Based on Deep Learning Analysis, Steven Alexander Hicks, Konstantin Pogorelov, Mathias Lux, Mattis Jeppsson, Kristin Ranheim Randel, Thomas de Lange, Sigrun Eskeland, Pål Halvorsen, and Michael Riegler, Proceedings of ACM Multimedia Systems (MMSYS), Amsterdam, The Netherlands, June 2018 [pdf] [DOI: 10.1145/3204949.3208113]
Camera Synchronization for Panoramic Videos (book chapter), Vamsidhar R. Gaddam, Ragnar Langseth, Håkon K. Stensland, Carsten Griwodz, Michael Riegler, Tomas Kupka, Håvard Espeland, Dag Johansen, Håvard D. Johansen, and Pål Halvorsen, In: Mario Montagud, Pablo Cesar, Fernando Boronat, Jack Jansen (eds), MediaSync, Springer, 2018, pp 565-592 [pdf] [DOI: 10.1007/978-3-319-65840-7_20]
Deep Learning and Handcrafted Feature Based Approaches for Automatic Detection of Angiectasia, Konstantin Pogorelov, Olga Ostroukhova, Andreas Petlund, Pål Halvorsen, Thomas de Lange, Håvard Nygaard Espeland, Tomas Kupka, Carsten Griwodz, and Michael Riegler, Proceeding of the IEEE International Conference on Biomedical and Health Informatics (BHI), Las Vegas, USA, March 2018 [pdf]
Automatic Detection of Angiectasia: Evaluation of Deep Learning and Handcrafted Approaches, Konstantin Pogorelov, Olga Ostroukhova, Andreas Petlund, Carsten Griwodz, Pål Halvorsen, Thomas de Lange, Håvard Nygaard Espeland, Tomas Kupka, and Michael Riegler, Proceeding of the IEEE International Conference on Biomedical and Health Informatics (BHI), Las Vegas, USA, March 2018 [pdf]
An Experimental Evaluation of Debayering Algorithms on GPUs for Recording Panoramic Video in Real-time, Ragnar Langseth, Vamsidhar Reddy Gaddam, Håkon Kvale Stensland, Carsten Griwodz, Dag Johansen, and Pål Halvorsen, International Journal of Multimedia Data Engineering and Management, Vol. 6, No. 3, 2015, pp. 1-16 [DOI: 10.4018/ijmdem.2015070101]
Using a Commodity Hardware Video Encoder for Interactive Applications, Håkon Kvale Stensland, Martin Alexander Wilhelmsen, Vamsidhar Reddy Gaddam, Asgeir Mortensen, Ragnar Langseth, Carsten Griwodz, and Pål Halvorsen, International Journal of Multimedia Data Engineering and Management, Vol. 6, No. 3, 2015, pp. 17-31 [DOI: 10.4018/ijmdem.2015070102]
Tiling of Panorama Video for Interactive Virtual Cameras: Overheads and Potential Bandwidth Requirement Reduction, Vamsidhar Reddy Gaddam, Hoang Bao Ngo, Ragnar Langseth, Carsten Griwodz, Dag Johansen, and Pål Halvorsen, Proceedings of Packet Video (PV), Cairns, Australia, May/June 2015 [pdf] [DOI: 10.1109/PCS.2015.7170076]
