Primary tabs

2018
S. Hicks, M. Lux, T. de Lange, K. R. Randel, M. Jeppsson, K. Pogorelov, P. Halvorsen and M. Riegler. Mimir: An Automatic Reporting and Reasoning System for Deep Learning based Analysis in the Medical Domain In Proceedings of the 9th ACM Multimedia Systems Conference. Amsterdam, Netherlands: ACM, 2018.
E. Garcia-Ceja, M. Riegler, P. Jakobsen, J. Torresen, T. Nordgreen, K. J. Oedegaard and O. B. Fasmer. Motor Activity Based Classification of Depression in Unipolar and Bipolar Patients In 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS), Edited by B. Kane. Karlstad, Sweden: IEEE, 2018.
M. Soleymani, M. Riegler and P. Halvorsen. "Multimodal analysis of user behavior and browsed content under different image search intents." International Journal of Multimedia Information Retrieval 7 (2018): 29-41.
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.
B. Ionescu, H. Müller, M. Villegas, A. G. S. de Herrera, C. Eickhoff, V. Andrearczyk, Y. D. Cid, V. Liauchuk, V. Kovalev, S. A. Hasan et al. Overview of ImageCLEF 2018: Challenges, datasets and evaluation In ImageCLEF 2018, Edited by P. Bellot. Springer, 2018.
D. Dang-Nguyen, L. Piras, M. Riegler, L. Zhou, M. Lux and C. Gurrin. Overview of ImageCLEFlifelog 2018: daily living understanding and lifelog moment retrieval In Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum, Edited by L. Cappellato. Avignon, France: CEUR Workshop Proceedings, 2018.
B. Thomee, M. Riegler, F. de Simone and G. Simon. "Sharing and reproducibility in ACM SIGMM." ACM SIGMultimedia Records 10 (2018): 1.
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, no. 3 (2018): 2837-2875.PDF icon mtap_2018.pdf (24.14 MB)
M. Lux, M. Riegler, D. Dang-Nguyen, M. Larson, M. Potthast and P. Halvorsen. Team ORG @ GameStory Task 2018 In Proceeding of the MediaEval Benchmarking Initiative for Multimedia Evaluation. MediaEval, 2018.PDF icon team_org_at_mediaeval_2018_gamestory_task.pdf (1.91 MB)
F. Murabito, C. Spampinato, S. Palazzo, D. Giordano, K. Pogorelov and M. Riegler. "Top-Down Saliency Detection Driven by Visual Classification." Computer Vision and Image Understanding 172 (2018): 67-76.PDF icon 1709.05307.pdf (6.94 MB)
T. J. D. Berstad, M. Riegler, H. Espeland, T. de Lange, P. H. Smedsrud, K. Pogorelov, H. K. Stensland and P. Halvorsen. Tradeoffs using Binary and Multiclass Neural Network Classification for Medical Multidisease Detection In 2018 IEEE International Symposium on Multimedia (ISM). IEEE, 2018.PDF icon main.pdf (807.82 KB)
O. Ostroukhova, K. Pogorelov, M. Riegler, D. Dang-Nguyen and P. Halvorsen. Transfer learning with prioritized classification and training dataset equalization for medical objects detection In Working Notes Proceedings of the MediaEval 2018 Workshop. CEUR Workshop Proceedings, 2018.PDF icon mediaeval_18_paper_58.pdf (377.21 KB)
M. Kirkerød, V. Thambawita, M. Riegler and P. Halvorsen. Using preprocessing as a tool in medical image detection In MediaEval 2018. Nice, France: MediaEval, 2018.PDF icon mediaeval_18_paper_17_1.pdf (421.1 KB)
2017
D. Nguyen, D. Tien, L. Zhou, R. Gupta, M. Riegler and C. Gurrin. Building a disclosed lifelog dataset: challenges, principles and processes In Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing (CBMI 2017), Edited by M. Bertini. ACM/IEEE, 2017.
K. Pogorelov, M. Riegler, P. Halvorsen and C. Griwodz. ClusterTag: Interactive Visualization, Clustering and Tagging Tool for Big Image Collections In ACM International Conference on Multimedia Retrieval. Bucharest: ACM, 2017.
K. Ahmad, K. Pogorelov, M. Riegler, N. Conci and P. Halvorsen. CNN and GAN Based Satellite and Social Media Data Fusion for Disaster Detection In MediaEval Benchmark 2017, Edited by K. Ahmad. Dublin, Ireland: CEUR-WS.org, 2017.
K. Pogorelov, M. Riegler, P. Halvorsen, C. Griwodz, T. de Lange, K. R. Randel, S. L. Eskeland, D. Dang-Nguyen, O. Olga, M. Lux et al. A comparison of deep learning with global features for gastrointestinal disease detection In MediaEval Benchmark 2017, Edited by M. Riegler. Dublin, Ireland: CEUR-WS.org, 2017.
K. Pogorelov, M. Riegler, P. Halvorsen, C. Griwodz, T. de Lange, K. R. Randel, S. L. Eskeland, D. Dang-Nguyen, O. Olga, M. Lux et al. A comparison of deep learning with global features for gastrointestinal disease detection In MediaEval Benchmark 2017, Edited by M. Riegler. Dublin, Ireland: CEUR-WS.org, 2017.
S. Suman, F. A. B. Hussin, A. S. Malik, K. Pogorelov, M. Riegler, S. H. Ho, I. Hilmi and K. L. Goh. Detection and Classification of Bleeding Region in WCE Images Using Color Feature In Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing. New York, NY, USA: ACM, 2017.
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.PDF icon pogorelov_et_al-2017-multimedia_tools_and_applications.pdf (7.69 MB)
M. Riegler. EIR - A Medical Multimedia System for Efficient Computer Aided Diagnosis In University of Oslo. Vol. PhD. University of Oslo: University of Oslo, 2017.
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.
I. Ahmed, M. Riegler, A. Petlund, C. Griwodz and P. Halvorsen. Finding equilibrium for gym ownership distribution based on game dynamics in Pokémon GO game In ACM International Workshop on Massively Multiuser Virtual Environments. Taiwan: ACM, 2017.
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).PDF icon 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.PDF icon p112-pogorelov.pdf (2.84 MB)

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