D. Jha, P. H. Smedsrud, M. Riegler, P. Halvorsen, H. D. Johansen, T. de Lange and D. Johansen. Kvasir-SEG: A Segmented Polyp Dataset In MMM2020. Daejeon, Korea: MMM 2020 26TH INTERNATIONAL CONFERENCE ON MULTIMEDIA MODELING, 2020.

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mmm_2020_kvasir_seg_debesh.pdf (4.04 MB)

M. Jeppsson, H. Espeland, T. Kupka, R. Langseth, A. Petlund, P. Qiaoqiao, C. Xue, D. Johansen, K. Pogorelov, H. K. Stensland et al. "Efficient Live and On-Demand Tiled HEVC 360 VR Video Streaming." International Journal of Semantic Computing 13, no. 3 (2019).

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F. L. Henriksen, R. Jensen, H. K. Stensland, D. Johansen, M. Riegler and P. Halvorsen. Performance of Data Enhancements and Training Optimization for Neural Network – A Polyp Detection Case Study In IEEE CBMS International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2019.

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cbms2019.pdf (5.12 MB)

T. Wiik, H. D. Johansen, S. A. Pettersen, I. Baptista, T. Kupka, D. Johansen, M. Riegler and P. Halvorsen. Predicting Peek Readiness-to-Train of Soccer Players Using Long Short-Term Memory Recurrent Neural Networks In Content-Based Multimedia Indexing (CBMI)., 2019.

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cbmi2019-pmsys.pdf (1.88 MB)

K. Andreassen, D. Johansen, H. Johansen, I. Baptista, S. A. Pettersen, M. Riegler and P. Halvorsen. Real-time Analysis of Physical Performance Parameters in Elite Soccer In Content-Based Multimedia Indexing (CBMI)., 2019.

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cbmi2019-metrix.pdf (489.5 KB)

D. Jha, P. Smedsrud, M. Riegler, D. Johansen, T. de Lange, P. Halvorsen and H. D. Johansen. ResUNet++: An Advanced Architecture for Medical Image Segmentation In 21st IEEE International Symposium on ​ Multimedia. San Diego, California, USA: 21st IEEE International Symposium on ​ Multimedia , 2019.

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resunet_accepted_debesh.pdf (1.01 MB)

A. Nordskog, P. Halvorsen, S. Hicks, H. K. Stensland, H. L. Hammer, D. Johansen and M. Riegler. Semantic Analysis of Soccer News for Automatic Game Event Classification In CBMI., 2019.

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A. Nordskog, P. Halvorsen, S. Hicks, H. K. Stensland, H. L. Hammer, D. Johansen and M. Riegler. Semantic Analysis of Soccer News for Automatic Game Event Classification In Content-Based Multimedia Indexing (CBMI). IEEE, 2019.

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cbmi_2019_aanund_football_news.pdf (734.15 KB)

V. R. Gaddam, R. Langseth, H. K. Stensland, C. Griwodz, M. Riegler, T. Kupka, H. Espeland, D. Johansen, H. Johansen and P. Halvorsen. "Camera Synchronization for Panoramic Videos." In MediaSync, edited by M. Montagud, P. Cesar, F. Boronat and J. Jansen, 565-592. Springer, 2018.

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K. Pogorelov, O. Ostroukhova, M. Jeppsson, H. Espeland, C. Griwodz, T. de Lange, D. Johansen, M. Riegler and P. Halvorsen. Deep Learning and Hand-crafted Feature Based Approaches for Polyp Detection in Medical Videos In 31st IEEE CBMS International Symposium on Computer-Based Medical Systems. Karlstad, Sweden: IEEE, 2018.

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cbms_2018_paper_163_preprint.pdf (1.61 MB)

M. Jeppsson, H. Espeland, T. Kupka, R. Langseth, A. Petlund, P. Qiaoqiao, C. Xue, K. Pogorelov, M. Riegler, D. Johansen et al. Efficient Live and on-Demand Tiled HEVC 360 VR Video Streaming In 2018 IEEE International Symposium on Multimedia (ISM). Taichung, Taiwan: IEEE, 2018.

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paper.pdf (8.99 MB)

V. Thambawita, D. Jha, M. Riegler, P. Halvorsen, H. L. Hammer, H. D. Johansen and D. Johansen. The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning In MediaEval 2018. Nice, France: MediaEval, 2018.

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mediaeval_team_dv_10.pdf (374.73 KB)

K. Pogorelov, Z. Albisser, O. Ostroukhova, M. Lux, D. Johansen, P. Halvorsen and M. Riegler. OpenSea - Open Search Based Classification Tool In Proceedings of the 9th ACM Multimedia Systems Conference. Amsterdam, Netherlands: ACM, 2018.

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K. Pogorelov, M. Riegler, S. L. Eskeland, T. de Lange, D. Johansen, C. Griwodz, P. T. Schmidt and P. Halvorsen. "Efficient disease detection in gastrointestinal videos – global features versus neural networks." Multimedia Tools and Applications 76, no. 21 (2017): 22493-22525.

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pogorelov_et_al-2017-multimedia_tools_and_applications.pdf (7.69 MB)

S. L. Eskeland, L. Aabakken, M. Riegler, K. Pogorelov, P. T. Schmidt, D. Johansen and P. Halvorsen. EIR: changing the scene of automatic detection software for gastrointestinal endoscopy In World Congress of GI Endoscopy, Edited by T. de Lange. Hyderabad, India: World Endoscopic Organisation, 2017.

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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).

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from_annotation_to_computer-aided_diagnosis_detailed_evaluation_of_a_medical_multimedia_system.pdf (697.97 KB)

K. Pogorelov, S. L. Eskeland, T. de Lange, C. Griwodz, K. R. Randel, H. K. Stensland, D. Dang-Nguyen, C. Spampinato, D. Johansen, M. Riegler et al. A Holistic Multimedia System for Gastrointestinal Tract Disease Detection In 8th annual ACM conference on Multimedia Systems (MMSys), Edited by P. Cesar and C. Hsu. ACM, 2017.

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p112-pogorelov.pdf (2.84 MB)

K. Pogorelov, K. Ranheim, C. Griwodz, T. de Lange, S. L. Eskeland, D. Johansen, P. T. Schmidt, C. Spampinato, D. Dang-Nguyen, M. Lux et al. Kvasir: A Multi-Class Image-Dataset for Computer Aided Gastrointestinal Disease Detection In ACM Multimedia Systems. Taiwan: ACM, 2017.

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K. Pogorelov, K. Ranheim, T. de Lange, S. L. Eskeland, D. Johansen, C. Griwodz, C. Spampinato, M. Taschwer, M. Lux, P. T. Schmidt et al. Nerthus: A Bowel Preparation Quality Video Dataset In ACM Multimedia Systems. Taipei: ACM, 2017.

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M. Riegler, K. Pogorelov, J. Markussen, M. Lux, H. K. Stensland, T. de Lange, C. Griwodz, P. Halvorsen, D. Johansen, P. T. Schmidt et al. Computer Aided Disease Detection System for Gastrointestinal Examinations In Multimedia Systems Conference 2016. New York: ACM, 2016.

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M. Riegler, K. Pogorelov, P. Halvorsen, T. de Lange, C. Griwodz, D. Johansen, P. T. Schmidt and S. L. Eskeland. EIR - Efficient Computer Aided Diagnosis Framework for Gastrointestinal Endoscopies In International Workshop on Content-based Multimedia Indexing. IEEE / ACM, 2016.

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K. Pogorelov, M. Riegler, P. Halvorsen, T. de Lange, P. T. Schmidt, S. L. Eskeland, C. Griwodz and D. Johansen. GPU-accelerated Real-time Gastrointestinal Diseases Detection In CBMS 2016 : The 29th International Symposium on Computer-Based Medical Systems. IEEE, 2016.

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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.

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R. Langseth, V. R. Gaddam, H. K. Stensland, C. Griwodz, P. Halvorsen and D. Johansen. "An Experimental Evaluation of Debayering Algorithms on GPUs for Recording Panoramic Video in Real-time." International Journal of Multimedia Data Engineering and Management (IJMDEM) 6, no. 3 (2015): 1-16.

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V. R. Gaddam, R. Langseth, H. K. Stensland, C. Griwodz, D. Johansen and P. Halvorsen. Scaling Virtual Camera Services to a Large Number of Users In Proceedings of the 6th annual ACM conference on Multimedia Systems (MMSYS). New York, NY, USA: ACM, 2015.

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