We have a strong connection to research institutes and universities, and we both participate in research projects and write scientific papers about our results and findings.
Externally funded research projects:
The AI-storyteller project (Intelligent Content Curation for Sports, funded by RCN)
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:
AI-Based Cropping of Sport Videos using SmartCrop, Sayed Mohammad Majidi Dorcheh et al., International Journal of Semantic Computing (accepted), 2024
Demo: Creating Player-Specific Soccer Highlight Clips with PlayerTV, Håkon Maric Solberg et al., Proc. of International Conference on Content-based Multimedia Indexing (CBMI) (accepeted), 2024
SoccerRAG: Multimodal Soccer Information Retrieval via Natural Queries, Aleksander Theo Strand et al., Proc. of International Conference on Content-based Multimedia Indexing (CBMI) (accepeted), 2024
Demo: Soccer Information Retrieval via Natural Queries using SoccerRAG, Aleksander Theo Strand et al., Proc. of International Conference on Content-based Multimedia Indexing (CBMI) (accepeted), 2024
A large-scale multivariate soccer athlete health, performance, and position monitoring dataset, Cise Midoglu et al., Scientific Data, 2024
TACDEC: Dataset of Tackle Events in Soccer Game Videos, Evan Jåsund Kassab et al., Proc. of ACM Multimedia Systems Conference (MMSys), 2024
SmartCrop-H: AI-Based Cropping of Ice Hockey Videos, Sayed Mohammad Majidi Dorcheh et al., Proc. of ACM Multimedia Systems Conference (MMSys), 2024
Multimodal AI-Based Summarization and Storytelling for Soccer on Social Media, Mehdi Houshmand Sarkhoosh et al., Proc. of ACM Multimedia Systems Conference (MMSys), 2024
The SoccerSum Dataset for Automated Detection, Segmentation, and Tracking of Objects on the Soccer Pitch, Mehdi Houshmand Sarkhoosh et al., Proc. of ACM Multimedia Systems Conference (MMSys), 2024
AI-Based Sports Highlight Generation for Social Media, Cise Midoglu et al., Proc. of ACM Mile-High Video Conference (MHV), 2024
AI-Based Cropping of Soccer Videos for Different Social Media Representations, Mehdi Houshmand Sarkhoosh et al., Proc. of Inernational Conference on Multimedia Modelling (MMM), 2024
SmartCrop: AI-Based Cropping of Soccer Videos, Sayed Mohammad Majidi Dorcheh et al., Proc. of Internantinal Symphosium on Multimedia (ISM), 2023
Exploration of Different Time Series Models for Soccer Athlete Performance Prediction, Siarhei Kulakou et al., Engineering proceedings, Vol. 18, No. 1, 2022
Automatic Thumbnail Selection for Soccer Videos
using Machine Learning, Andreas Husa et al, Proc. of ACM Multimedia Systems Conference (MMSys), 2022
HOST-ATS: automatic thumbnail selection with dashboard-controlled ML pipeline and dynamic user survey, Andreas Husa et al. , Proc. of the ACM Multimedia Systems Conference (MMSYS), June 2022, pp. 334-340
MMSys'22 Grand Challenge on AI-based Video Production for Soccer, Cise Midoglu et al., arXiv:2202.01031, 2022
Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities, Olav Rongved et al., Machine Learning and Knowledge Extraction, Volume 4, Issue 3, 2021, pp. 1030-1054
AI-Based Video Clipping of Soccer Events, Joakim O. Valand et al., Machine Learning and Knowledge Extraction, Volume 3, Issue 4, December 2021, pp. 990-1008
Automated Clipping of Soccer Events using Machine Learning, Joakim O. Valand et al., Proc. of the IEEE International Symphosium of Multimedia (ISM), Virtual, December 2021
Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events, Olav Rongved et al., International Journal of Semantic Computing, Vol. 15, No. 02, 2021, pp. 161-187
Real-Time Detection of Events in Soccer Videos using 3D Convolutional Neural Networks, Olav Rongved et al., Proc. of the IEEE International Symphosium of Multimeida (ISM), Virtual, December 2020
Scalable Infrastructure for Efficient Real-Time Sports Analytics, Håvard Johansen et al., Proc. of Workshop on Action Modelling for Interaction and Analysis in Smart Sports and Physical Education (MAIStroPE), October 2020
PMData: a sports logging dataset, Vajira Thambawita et al., Proc. of the ACM Multimedia Systems (MMSYS), Istanbul, Turkey, 2020
Effcient Live and On-Demand Tiled HEVC 360 VR Video Streaming, Mattis Jeppsson et al., International Journal of Semantic Computing Vol. 13, No. 3, 2019, pp. 1–25
Real-time Analysis of Physical Performance Parameters in Elite Soccer, Kim Andreassen et al., Proc. of the ACM International Workshop on Content-Based Multimedia Indexing (CBMI), Dublin, Ireland, September 2019
Predicting Peek Readiness-to-Train of Soccer Players Using Long Short-Term Memory Recurrent Neural Networks, Theodor Wiik et al., Proceedings of the ACM International Workshop on Content-Based Multimedia Indexing (CBMI), Dublin, Ireland, September 2019
Efficient Live and on-Demand Tiled HEVC 360 VR Video Streaming (Best paper award), Mattis Jeppsson et al., Proc. of IEEE International Symposium on Multimedia (ISM), Taichung, Taiwan, December 2018
"Quantified Soccer Using Positional Data: A Case Study", Svein A. Pettersen et al., Frontiers in Physiology, Vol. 9, July 2018
Deep Learning and Hand-crafted Feature Based Approaches for Polyp Detection in Medical Videos (Best paper award), Konstantin Pogorelov et al., Proc. of International Symposium on Computer-Based Medical Systems (CBMS), Karlstad, Sweden, June 2018 Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding, Steven Alexander Hicks et al., Proc. of International Symposium on Computer-Based Medical Systems (CBMS), Karlstad, Sweden, June 2018
Mimir: An Automatic Reporting and Reasoning System for DeepLearning based Analysis in the Medical Domain, Steven Alexander Hicks et al., Proc. of ACM Multimedia Systems (MMSYS), Amsterdam, The Netherlands, June 2018
Comprehensible Reasoning and Automated Reporting of Medical Examinations Based on Deep Learning Analysis, Steven Alexander Hicks et al., Proc. of ACM Multimedia Systems (MMSYS), Amsterdam, The Netherlands, June 2018
Camera Synchronization for Panoramic Videos (book chapter), Vamsidhar R. Gaddam et al., In: Mario Montagud, Pablo Cesar, Fernando Boronat, Jack Jansen (eds), MediaSync, Springer, 2018, pp 565-592
Deep Learning and Handcrafted Feature Based Approaches for Automatic Detection of Angiectasia, Konstantin Pogorelov et al., Proc. of the IEEE International Conference on Biomedical and Health Informatics (BHI), Las Vegas, USA, March 2018
Automatic Detection of Angiectasia: Evaluation of Deep Learning and Handcrafted Approaches, Konstantin Pogorelov et al., Proc. of the IEEE International Conference on Biomedical and Health Informatics (BHI), Las Vegas, USA, March 2018
An Experimental Evaluation of Debayering Algorithms on GPUs for Recording Panoramic Video in Real-time, Ragnar Langseth et al., International Journal of Multimedia Data Engineering and Management, Vol. 6, No. 3, 2015, pp. 1-16
Using a Commodity Hardware Video Encoder for Interactive Applications, Håkon Kvale Stensland et al., International Journal of Multimedia Data Engineering and Management, Vol. 6, No. 3, 2015, pp. 17-31
Tiling of Panorama Video for Interactive Virtual Cameras: Overheads and Potential Bandwidth Requirement Reduction, Vamsidhar Reddy Gaddam et al., Proc. of Packet Video (PV), Cairns, Australia, May/June 2015
