Beecks, Christian

Forschungsschwerpunkte

Data Science
Data Engineering
Big Data
Machine Learning
Multimedia Databases

Vita

Projekte

Towards AI powered manufacturing services, processes, and products in an edge-to-cloud-knowlEdge continuum for humans [in-the-loop] – knowlEdge (2021 – 2023)
EU-Projekt koordiniert außerhalb der Universität Münster: EU H2020 - Research and innovation actions | Förderkennzeichen: 957331
Standortübergreifendes Graduiertenkolleg: „Trustworthy AI for Seamless Problem solving: Next generation Intelligence Joins Robust Data Analysis“ (Data NInJA) - Promotionsthema: "Gaußprozesse für automatische und interpretierbare Anomalie-Erkennung" – GAIA (2021 – 2023)
Beteiligung in sonstigem Verbundvorhaben: MKW - Förderlinie „Künstliche Intelligenz/Maschinelles Lernen“ - Standortübergreifendes Graduiertenkolleg | Förderkennzeichen: 005-2010-0003
Applied IoT Data Analytics (seit 2017)
Eigenmittelprojekt
Medical Video Analysis (2015 – 2018)
Eigenmittelprojekt
Gesture Analytics (2014 – 2018)
Eigenmittelprojekt
Video Search and Retrieval (2015 – 2018)
Eigenmittelprojekt
Query Processing (seit 2014)
Eigenmittelprojekt
Semantic Data Access (2013 – 2016)
Eigenmittelprojekt
Metric and Ptolemaic Access Methods (seit 2011)
Eigenmittelprojekt
Performance Studies (2010 – 2015)
Eigenmittelprojekt
Sequential Pattern Mining (2014 – 2015)
Eigenmittelprojekt
Similarity Search (seit 2011)
Eigenmittelprojekt
Signature Quadratic Form Distance (2009 – 2013)
Eigenmittelprojekt
Multimedia Data Exploration (2008 – 2012)
Eigenmittelprojekt

Publikationen

Berns, F, Strueber, JH, und Beecks, C. 2021. „Local Gaussian Process Model Inference Classification for Time Series Data.“ Beitrag präsentiert auf der 33rd International Conference on Scientific and Statistical Database Management, Tampa, Florida, USA doi: 10.1145/3468791.3468839.
Berns, F, und Beecks, C. 2021. „Stochastic Time Series Representation for Interval Pattern Mining via Gaussian Processes.“ In Proceedings of the 2021 SIAM International Conference on Data Mining (SDM) doi: 10.1137/1.9781611976700.2.
Berns, F, und Beecks, C. 2021. „Complexity-Adaptive Gaussian Process Model Inference for Large-Scale Data.“ In Proceedings of the 2021 SIAM International Conference on Data Mining (SDM) doi: 10.1137/1.9781611976700.41.
Berns, F, Ramsdorf, T, und Beecks, C. 2021. „Machine Learning for Storage Location Prediction in Industrial High Bay Warehouses.“ In 1st International Workshop on Industrial Machine Learning at 25th International Conference on Pattern Recognition 2020, Lecture Notes in Computer Science Springer. doi: 10.1007/978-3-030-68799-1_47.
Berns, F, Schmidt, K, Bracht, I, und Beecks, C. 2021. „3CS Algorithm for Efficient Gaussian Process Model Retrieval.“ In Proceedings 25th of the International Conference on Pattern Recognition 2020 Wiley-IEEE Computer Society Press. doi: 10.1109/ICPR48806.2021.9412805.
Berns, F, und Beecks, C. 2020. „Large-scale Retrieval of Bayesian Machine Learning Models for Time Series Data via Gaussian Processes.“ In Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, SciTePress. doi: 10.5220/0010109700710080.
Berns, F, Lange-Hegermann, M, und Beecks, C. 2020. „Towards Gaussian Processes for Automatic and Interpretable Anomaly Detection in Industry 4.0.“ In Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: IN4PL, SciTePress. doi: 10.5220/0010130300870092.
Berns, F, und Beecks, C. 2020. „Automatic Gaussian Process Model Retrieval for Big Data.“ Beitrag präsentiert auf der ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland , herausgegeben von M d'Aquin, S Dietze, C Hauff, E Curry und P Cudré-Mauroux. doi: 10.1145/3340531.3412182.
Berns, F, und Beecks, C. 2020. „Towards Large-scale Gaussian Process Models for Efficient Bayesian Machine Learning.“ In Proceedings of the 9th International Conference on Data Science, Technology and Applications doi: 10.5220/0009874702750282.
Berns, F, Schmidt, K, Grass, A, und Beecks, C. 2019. „A New Approach for Efficient Structure Discovery in IoT.“ In 2019 IEEE International Conference on Big Data (Big Data) Wiley-IEEE Press. doi: 10.1109/BigData47090.2019.9006082.
Beecks, C, Berns, F, und Schmidt, KW. 2019. „Ptolemaic Indexing for Managing and Querying Internet of Things (IoT) Data.“ In 2019 IEEE International Conference on Big Data (Big Data) Wiley-IEEE Press. doi: 10.1109/BigData47090.2019.9005725.
Sandfort, F, Strieth-Kalthoff, F, Kühnemund, M, Beecks, C, und Glorius, F. 2019. „A Structure-Based Platform for Predicting Chemical Reactivity.“ ChemRxiv 2019. doi: 10.26434/chemrxiv.9981488.v1.
Berns, F, Rossetto, L, Schoeffmann, K, Beecks, C, und Awad, G. 2019. „V3C1 Dataset: An Evaluation of Content Characteristics.“ In Proceedings of the 2019 on International Conference on Multimedia Retrieval, ICMR 2019, Ottawa, ON, Canada, June 10-13, 2019, herausgegeben von A El-Saddik, AD Bimbo, Z Zhang, AG Hauptmann, KS Candan, M Bertini, L Xie und X Wei. ACM Press. doi: 10.1145/3323873.3325051.
Leibetseder, A, Münzer, B, Primus, MJ, Kletz, S, Schoeffmann, K, Berns, F, und Beecks, C. 2019. „lifeXplore at the Lifelog Search Challenge 2019.“ In Proceedings of the ACM Workshop on Lifelog Search Challenge, LSC@ICMR 2019, Ottawa, ON, Canada, 10 June 2019, herausgegeben von C Gurrin, K Schöffmann, H Joho, D Dang-Nguyen, M Riegler und L Piras. ACM Press. doi: 10.1145/3326460.3329157.
Beecks, C, Schmidt, KW, Berns, F, und Grass, A. 2019. „Gaussian Processes for Anomaly Description in Production Environments.“ In Proceedings of the Workshops of the Joint Conference on Extending Database Technology and Database Theory, EDBT/ICDT 2019, Lisbon, Portugal, March 26, 2019, Bd. 2322 aus CEUR Workshop Proceedings CEUR-WS.
Grass, A, Beecks, C, und Soto, JAC. 2018. „Unsupervised Anomaly Detection in Production Lines.“ In Selected papers from the International Conference on Machine Learning for Cyber Physical Systems, ML4CPS 2018, Karlsruhe, Germany, October 23-24, 2018 Springer. doi: 10.1007/978-3-662-58485-9\_3.
Beecks, C, Devasya, S, und Schlutter, R. 2018. „Machine Learning for Enhanced Waste Quantity Reduction: Insights from the MONSOON Industry 4.0 Project.“ In Selected papers from the International Conference on Machine Learning for Cyber Physical Systems, ML4CPS 2018, Karlsruhe, Germany, October 23-24, 2018 Springer. doi: 10.1007/978-3-662-58485-9\_1.
Beecks, C, Grass, A, und Devasya, S. 2018. „Metric Indexing for Efficient Data Access in the Internet of Things.“ In IEEE International Conference on Big Data, Big Data 2018, Seattle, WA, USA, December 10-13, 2018 doi: 10.1109/BigData.2018.8622387.
Beecks, C, und Berrendorf, M. 2018. „Optimal k-Nearest-Neighbor Query Processing via Multiple Lower Bound Approximations.“ In IEEE International Conference on Big Data, Big Data 2018, Seattle, WA, USA, December 10-13, 2018 doi: 10.1109/BigData.2018.8622493.
Beecks, C, und Grass, A. 2018. „Efficient Point-Based Pattern Search in 3D Motion Capture Databases.“ In 6th IEEE International Conference on Future Internet of Things and Cloud, FiCloud 2018, Barcelona, Spain, August 6-8, 2018, herausgegeben von M Younas und JP Disso. Wiley-IEEE Computer Society Press. doi: 10.1109/FiCloud.2018.00041.
Schoeffmann, K, Husslein, H, Kletz, S, Petscharnig, S, Münzer, B, und Beecks, C. 2018. „Video retrieval in laparoscopic video recordings with dynamic content descriptors.“ Multimedia Tools Appl. 77 (13): 16813–16832. doi: 10.1007/s11042-017-5252-2.
Beecks, C, Borutta, F, Kröger, P, und Seidl, T, Hrsg. 2017. Lecture Notes in Computer Science, Bd. 10609, Similarity Search and Applications - 10th International Conference, SISAP 2017, Munich, Germany, October 4-6, 2017, Proceedings Springer VDI Verlag. doi: 10.1007/978-3-319-68474-1.
Münzer, B, Primus, MJ, Hudelist, MA, Beecks, C, Hürst, W, und Schoeffmann, K. 2017. „When content-based video retrieval and human computation unite: Towards effective collaborative video search.“ In 2017 IEEE International Conference on Multimedia & Expo Workshops, ICME Workshops, Hong Kong, China, July 10-14, 2017 Wiley-IEEE Computer Society Press. doi: 10.1109/ICMEW.2017.8026262.
Beecks, C, Kletz, S, und Schoeffmann, K. 2017. „Large-Scale Endoscopic Image and Video Linking with Gradient-Based Signatures.“ In Third IEEE International Conference on Multimedia Big Data, BigMM 2017, Laguna Hills, CA, USA, April 19-21, 2017 Wiley-IEEE Computer Society Press. doi: 10.1109/BigMM.2017.44.
Schüller, D, Beecks, C, Hassani, M, Hinnell, J, Brenger, B, Seidl, T, und Mittelberg, I. 2017. „Automated Pattern Analysis in Gesture Research: Similarity Measuring in 3D Motion Capture Models of Communicative Action.“ Digital Humanities Quarterly 11 (2).
Nies, TD, Beecks, C, Godin, F, Neve, WD, Stepien, G, Arndt, D, Vocht, LD, Verborgh, R, Seidl, T, Mannens, E, und Walle, RV. 2016. „A Distance-Based Approach for Semantic Dissimilarity in Knowledge Graphs.“ In Tenth IEEE International Conference on Semantic Computing, ICSC 2016, Laguna Hills, CA, USA, February 4-6, 2016 Wiley-IEEE Computer Society Press. doi: 10.1109/ICSC.2016.55.
Hudelist, MA, Beecks, C, und Schoeffmann, K. 2016. „Finding the chameleon in your video collection.“ In Proceedings of the 7th International Conference on Multimedia Systems, MMSys 2016, Klagenfurt, Austria, May 10-13, 2016, herausgegeben von C Timmerer. ACM Press. doi: 10.1145/2910017.2910631.
Hudelist, MA, Cobarzan, C, Beecks, C, Werken, R, Kletz, S, Hürst, W, und Schoeffmann, K. 2016. „Collaborative Video Search Combining Video Retrieval with Human-Based Visual Inspection.“ In MultiMedia Modeling - 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part II, Bd. 9517 aus Lecture Notes in Computer Science, herausgegeben von Q Tian, N Sebe, G Qi, B Huet, R Hong und X Liu. Springer. doi: 10.1007/978-3-319-27674-8_40.
Hürst, W, Ching, AIV, Hudelist, MA, Primus, MJ, Schoeffmann, K, und Beecks, C. 2016. „A New Tool for Collaborative Video Search via Content-based Retrieval and Visual Inspection.“ In Proceedings of the 2016 ACM Conference on Multimedia Conference, MM 2016, Amsterdam, The Netherlands, October 15-19, 2016, herausgegeben von A Hanjalic, C Snoek, M Worring, DCA Bulterman, B Huet, A Kelliher, Y Kompatsiaris und J Li. ACM Press. doi: 10.1145/2964284.2973824.
Schoeffmann, K, Beecks, C, Lux, M, Uysal, MS, und Seidl, T. 2016. „Content-based retrieval in videos from laparoscopic surgery.“ In Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February - 3 March 2016, Bd. 9786 aus SPIE Proceedings, herausgegeben von RJ Webster und ZR Yaniv. SPIE. doi: 10.1117/12.2216864.
Vocht, LD, Beecks, C, Verborgh, R, Mannens, E, Seidl, T, und Walle, RV. 2016. „Effect of Heuristics on Serendipity in Path-Based Storytelling with Linked Data.“ In Human Interface and the Management of Information: Information, Design and Interaction - 18th International Conference, HCI International 2016 Toronto, Canada, July 17-22, 2016, Proceedings, Part I, Bd. 9734 aus Lecture Notes in Computer Science, herausgegeben von S Yamamoto. Springer. doi: 10.1007/978-3-319-40349-6_23.
Nies, TD, Beecks, C, Godin, F, Neve, WD, Stepien, G, Arndt, D, Vocht, LD, Verborgh, R, Seidl, T, Mannens, E, und Walle, RV. 2016. „Normalized Semantic Web Distance.“ In The Semantic Web. Latest Advances and New Domains - 13th International Conference, ESWC 2016, Heraklion, Crete, Greece, May 29 - June 2, 2016, Proceedings, Bd. 9678 aus Lecture Notes in Computer Science, herausgegeben von H Sack, E Blomqvist, M d'Aquin, C Ghidini, SP Ponzetto und C Lange. Springer. doi: 10.1007/978-3-319-34129-3_5.
Beecks, C, Uysal, MS, und Seidl, T. 2016. „Distance-based Multimedia Indexing.“ In Proceedings of the 19th International Conference on Extending Database Technology, EDBT 2016, Bordeaux, France, March 15-16, 2016, Bordeaux, France, March 15-16, 2016., herausgegeben von E Pitoura, S Maabout, G Koutrika, A Marian, L Tanca, I Manolescu und K Stefanidis. OpenProceedings.org. doi: 10.5441/002/edbt.2016.105.
Uysal, MS, Beecks, C, Sabinasz, D, Schmücking, J, und Seidl, T. 2016. „Efficient Query Processing using the Earth's Mover Distance in Video Databases.“ In Proceedings of the 19th International Conference on Extending Database Technology, EDBT 2016, Bordeaux, France, March 15-16, 2016, Bordeaux, France, March 15-16, 2016., herausgegeben von E Pitoura, S Maabout, G Koutrika, A Marian, L Tanca, I Manolescu und K Stefanidis. OpenProceedings.org. doi: 10.5441/002/edbt.2016.36.
Beecks, C, und Grass, A. 2016. „Multi-step threshold algorithm for efficient feature-based query processing in large-scale multimedia databases.“ In 2016 IEEE International Conference on Big Data, BigData 2016, Washington DC, USA, December 5-8, 2016, herausgegeben von J Joshi, G Karypis, L Liu, X Hu, R Ak, Y Xia, W Xu, A Sato, S Rachuri, LH Ungar, PS Yu, R Govindaraju und T Suzumura. Wiley-IEEE Press. doi: 10.1109/BigData.2016.7840652.
Beecks, C, Hassani, M, Brenger, B, Hinnell, J, Schüller, D, Mittelberg, I, und Seidl, T. 2016. „Efficient Query Processing in 3D Motion Capture Gesture Databases.“ Int. J. Semantic Computing 10 (1): 5–26. doi: 10.1142/S1793351X16400018.
Uysal, MS, Beecks, C, Schmücking, J, und Seidl, T. 2015. „Efficient similarity search in scientific databases with feature signatures.“ In Proceedings of the 27th International Conference on Scientific and Statistical Database Management, SSDBM '15, La Jolla, CA, USA, June 29 - July 1, 2015, herausgegeben von A Gupta und SL Rathbun. ACM Press. doi: 10.1145/2791347.2791384.
Beecks, C, Hassani, M, Hinnell, J, Schüller, D, Brenger, B, Mittelberg, I, und Seidl, T. 2015. „Spatiotemporal Similarity Search in 3D Motion Capture Gesture Streams.“ In Advances in Spatial and Temporal Databases - 14th International Symposium, SSTD 2015, Hong Kong, China, August 26-28, 2015. Proceedings, Bd. 9239 aus Lecture Notes in Computer Science, herausgegeben von C Claramunt, M Schneider, RC Wong, L Xiong, W Loh, C Shahabi und K Li. Springer. doi: 10.1007/978-3-319-22363-6_19.
Uysal, MS, Beecks, C, Sabinasz, D, und Seidl, T. 2015. „FELICITY: A Flexible Video Similarity Search Framework Using the Earth Mover's Distance.“ In Similarity Search and Applications - 8th International Conference, SISAP 2015, Glasgow, UK, October 12-14, 2015, Proceedings, Bd. 9371 aus Lecture Notes in Computer Science, herausgegeben von G Amato, RCH Connor, F Falchi und C Gennaro. Springer. doi: 10.1007/978-3-319-25087-8_34.
Beecks, C, Uysal, MS, und Seidl, T. 2015. „Content-Based Image Retrieval with Gaussian Mixture Models.“ In MultiMedia Modeling - 21st International Conference, MMM 2015, Sydney, NSW, Australia, January 5-7, 2015, Proceedings, Part I, Bd. 8935 aus Lecture Notes in Computer Science, herausgegeben von X He, S Luo, D Tao, C Xu, J Yang und MA Hasan. Springer. doi: 10.1007/978-3-319-14445-0_26.
Hassani, M, Beecks, C, Töws, D, und Seidl, T. 2015. „Mining Sequential Patterns of Event Streams in a Smart Home Application.“ In Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB, Trier, Germany, October 7-9, 2015., Bd. 1458 aus CEUR Workshop Proceedings, herausgegeben von R Bergmann, S Görg und G Müller. CEUR-WS.
Uysal, MS, Beecks, C, Sabinasz, D, und Seidl, T. 2015. „Effective Content-Based Near-Duplicate Video Detection.“ In 2015 IEEE International Symposium on Multimedia, ISM 2015, Miami, FL, USA, December 14-16, 2015 Wiley-IEEE Computer Society Press. doi: 10.1109/ISM.2015.60.
Beecks, C, Uysal, MS, und Seidl, T. 2015. „Earth Mover's Distance vs. Quadratic form Distance: An Analytical and Empirical Comparison.“ In 2015 IEEE International Symposium on Multimedia, ISM 2015, Miami, FL, USA, December 14-16, 2015 Wiley-IEEE Computer Society Press. doi: 10.1109/ISM.2015.76.
Beecks, C, Hassani, M, Obeloer, F, und Seidl, T. 2015. „Efficient Query Processing in 3D Motion Capture Databases via Lower Bound Approximation of the Gesture Matching Distance.“ In 2015 IEEE International Symposium on Multimedia, ISM 2015, Miami, FL, USA, December 14-16, 2015 Wiley-IEEE Computer Society Press. doi: 10.1109/ISM.2015.86.
Beecks, C, Schoeffmann, K, Lux, M, Uysal, MS, und Seidl, T. 2015. „Endoscopic Video Retrieval: A Signature-Based Approach for Linking Endoscopic Images with Video Segments.“ In 2015 IEEE International Symposium on Multimedia, ISM 2015, Miami, FL, USA, December 14-16, 2015 Wiley-IEEE Computer Society Press. doi: 10.1109/ISM.2015.21.
Beecks, C, Hassani, M, Obeloer, F, und Seidl, T. 2015. „Efficient Distance-Based Gestural Pattern Mining in Spatiotemporal 3D Motion Capture Databases.“ In IEEE International Conference on Data Mining Workshop, ICDMW 2015, Atlantic City, NJ, USA, November 14-17, 2015 Wiley-IEEE Computer Society Press. doi: 10.1109/ICDMW.2015.194.
Vocht, LD, Beecks, C, Verborgh, R, Seidl, T, Mannens, E, und Walle, RV. 2015. „Improving Semantic Relatedness in Paths for Storytelling with Linked Data on the Web.“ In The Semantic Web: ESWC 2015 Satellite Events - ESWC 2015 Satellite Events Portorož, Slovenia, May 31 - June 4, 2015, Revised Selected Papers, Bd. 9341 aus Lecture Notes in Computer Science, herausgegeben von F Gandon, C Guéret, S Villata, JG Breslin, C Faron-Zucker und A Zimmermann. Springer. doi: 10.1007/978-3-319-25639-9_6.
Beecks, C, Uysal, MS, Hermanns, J, und Seidl, T. 2015. „Gradient-based Signatures for Efficient Similarity Search in Large-scale Multimedia Databases.“ In Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015, herausgegeben von J Bailey, A Moffat, CC Aggarwal, M Rijke, R Kumar, V Murdock, TK Sellis und JX Yu. ACM Press. doi: 10.1145/2806416.2806459.
Uysal, MS, Beecks, C, Sabinasz, D, und Seidl, T. 2015. „Large-scale Efficient and Effective Video Similarity Search.“ In Proceedings of the 2015 Workshop on Large-Scale and Distributed System for Information Retrieval, LSDS-IR 2015, Melbourne, Australia, October 23, 2015, herausgegeben von IS Altingovde, BB Cambazoglu und N Tonellotto. ACM Press. doi: 10.1145/2809948.2809950.
Uysal, MS, Beecks, C, und Seidl, T. 2015. „On efficient content-based near-duplicate video detection.“ In 13th International Workshop on Content-Based Multimedia Indexing, CBMI 2015, Prague, Czech Republic, June 10-12, 2015 Wiley-IEEE Press. doi: 10.1109/CBMI.2015.7153633.
Hassani, M, Beecks, C, Töws, D, Serbina, T, Haberstroh, M, Niemietz, P, Jeschke, S, Neumann, S, und Seidl, T. 2015. „Sequential Pattern Mining of Multimodal Streams in the Humanities.“ In Datenbanksysteme für Business, Technologie und Web (BTW), 16. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), 4.-6.3.2015 in Hamburg, Germany. Proceedings, Bd. 241 aus LNI, herausgegeben von T Seidl, N Ritter, H Schöning, K Sattler, T Härder, S Friedrich und W Wingerath. Gesellschaft für Informatik.
Beecks, C, Uysal, MS, und Seidl, T. 2015. „Distance-based Multimedia Indexing.“ In Datenbanksysteme für Business, Technologie und Web (BTW 2015) - Workshopband, 2.-3. März 2015, Hamburg, Germany, Bd. 242 aus LNI, herausgegeben von N Ritter, A Henrich, W Lehner, A Thor, S Friedrich und W Wingerath. Gesellschaft für Informatik.
Töws, D, Hassani, M, Beecks, C, und Seidl, T. 2015. „Optimizing Sequential Pattern Mining Within Multiple Streams.“ In Datenbanksysteme für Business, Technologie und Web (BTW 2015) - Workshopband, 2.-3. März 2015, Hamburg, Germany, Bd. 242 aus LNI, herausgegeben von N Ritter, A Henrich, W Lehner, A Thor, S Friedrich und W Wingerath. Gesellschaft für Informatik.
Beecks, C, Uysal, MS, und Seidl, T. 2015. „Gradient-based signatures for big multimedia data.“ In 2015 IEEE International Conference on Big Data, Big Data 2015, Santa Clara, CA, USA, October 29 - November 1, 2015 Wiley-IEEE Press. doi: 10.1109/BigData.2015.7364093.
Seidl, T, Hassani, M, und Beecks, C, Hrsg. 2014. CEUR Workshop Proceedings, Bd. 1226, Proceedings of the 16th LWA Workshops: KDML, IR and FGWM, Aachen, Germany, September 8-10, 2014 CEUR-WS.
Beecks, C, Kirchhoff, S, und Seidl, T. 2014. „On the Stability of Signature-Based Distance Functions for Content-Based Image Retrieval.“ In Proceedings of the 16th LWA Workshops: KDML, IR and FGWM, Aachen, Germany, September 8-10, 2014., Bd. 1226 aus CEUR Workshop Proceedings, herausgegeben von T Seidl, M Hassani und C Beecks. CEUR-WS.
Godin, F, Nies, TD, Beecks, C, Vocht, LD, Neve, WD, Mannens, E, Seidl, T, und Walle, RV. 2014. „The Normalized Freebase Distance.“ In The Semantic Web: ESWC 2014 Satellite Events - ESWC 2014 Satellite Events, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers, Bd. 8798 aus Lecture Notes in Computer Science, herausgegeben von V Presutti, E Blomqvist, R Troncy, H Sack, I Papadakis und A Tordai. Springer. doi: 10.1007/978-3-319-11955-7_22.
Uysal, MS, Beecks, C, Schmücking, J, und Seidl, T. 2014. „Efficient Filter Approximation Using the Earth Mover's Distance in Very Large Multimedia Databases with Feature Signatures.“ In Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014, herausgegeben von J Li, XS Wang, MN Garofalakis, I Soboroff, T Suel und M Wang. ACM Press. doi: 10.1145/2661829.2661877.
Uysal, MS, Beecks, C, und Seidl, T. 2014. „On Efficient Query Processing with the Earth Mover's Distance.“ In Proceedings of the 7th Workshop on Ph.D Students, PIKM@CIKM 2014, Shanghai, China, November 3, 2014, herausgegeben von G Melo, M Kacimi und AS Varde. ACM Press. doi: 10.1145/2663714.2668047.
Nies, TD, Beecks, C, Neve, WD, Seidl, T, Mannens, E, und Walle, RV. 2014. „Towards Named-Entity-based Similarity Measures: Challenges and Opportunities.“ In Proceedings of the 7th International Workshop on Exploiting Semantic Annotations in Information Retrieval, ESAIR '14, Shanghai, China, November 7, 2014, herausgegeben von O Alonso, J Kamps und J Karlgren. ACM Press. doi: 10.1145/2663712.2666194.
Beecks, C, Kirchhoff, S, und Seidl, T. 2014. „On stability of signature-based similarity measures for content-based image retrieval.“ Multimedia Tools Appl. 71 (1): 349–362. doi: 10.1007/s11042-012-1334-3.
Beecks, C, Kirchhoff, S, und Seidl, T. 2013. „Signature matching distance for content-based image retrieval.“ In International Conference on Multimedia Retrieval, ICMR'13, Dallas, TX, USA, April 16-19, 2013, herausgegeben von R Jain, B Prabhakaran, M Worring, JR Smith und T Chua. ACM Press. doi: 10.1145/2461466.2461474.
Beecks, C, Uysal, MS, Driessen, P, und Seidl, T. 2013. „Content-based exploration of multimedia databases.“ In 11th International Workshop on Content-Based Multimedia Indexing, CBMI 2013, Veszprém, Hungary, June 17-19, 2013 Wiley-IEEE Press. doi: 10.1109/CBMI.2013.6576553.
Hetland, ML, Skopal, T, Lokoc, J, und Beecks, C. 2013. „Ptolemaic access methods: Challenging the reign of the metric space model.“ Inf. Syst. 38 (7): 989–1006. doi: 10.1016/j.is.2012.05.011.
Beecks, C. 2013. „Distance based similarity models for content based multimedia retrieval.“ Dissertationsschrift, RWTH Aachen University.
Beecks, C, und Seidl, T. 2012. „On Stability of Adaptive Similarity Measures for Content-Based Image Retrieval.“ In Advances in Multimedia Modeling - 18th International Conference, MMM 2012, Klagenfurt, Austria, January 4-6, 2012. Proceedings, Bd. 7131 aus Lecture Notes in Computer Science, herausgegeben von K Schoeffmann, B Mérialdo, AG Hauptmann, C Ngo, Y Andreopoulos und C Breiteneder. Springer. doi: 10.1007/978-3-642-27355-1_33.
Ivanescu, AM, Wichterich, M, Beecks, C, und Seidl, T. 2012. „The ClasSi coefficient for the evaluation of ranking quality in the presence of class similarities.“ Frontiers Comput. Sci. 6 (5): 568–580. doi: 10.1007/s11704-012-1175-2.
Krulis, M, Skopal, T, Lokoc, J, und Beecks, C. 2012. „Combining CPU and GPU architectures for fast similarity search.“ Distributed and Parallel Databases 30 (3-4): 179–207. doi: 10.1007/s10619-012-7092-4.
Lokoc, J, Beecks, C, Seidl, T, und Skopal, T. 2011. „Parameterized earth mover's distance for efficient metric space indexing.“ In Fourth International Conference on Similarity Search and Applications, SISAP 2011, Lipari Island, Italy, June 30 - July 01, 2011, herausgegeben von A Ferro. ACM Press. doi: 10.1145/1995412.1995438.
Beecks, C, Ivanescu, AM, Seidl, T, Martin, D, Pischke, P, und Kneer, R. 2011. „Applying similarity search for the investigation of the fuel injection process.“ In Fourth International Conference on Similarity Search and Applications, SISAP 2011, Lipari Island, Italy, June 30 - July 01, 2011, herausgegeben von A Ferro. ACM Press. doi: 10.1145/1995412.1995436.
Lokoc, J, Hetland, ML, Skopal, T, und Beecks, C. 2011. „Ptolemaic indexing of the signature quadratic form distance.“ In Fourth International Conference on Similarity Search and Applications, SISAP 2011, Lipari Island, Italy, June 30 - July 01, 2011, herausgegeben von A Ferro. ACM Press. doi: 10.1145/1995412.1995417.
Beecks, C, Uysal, MS, und Seidl, T. 2011. „L2-Signature Quadratic Form Distance for Efficient Query Processing in Very Large Multimedia Databases.“ In Advances in Multimedia Modeling - 17th International Multimedia Modeling Conference, MMM 2011, Taipei, Taiwan, January 5-7, 2011, Proceedings, Part I, Bd. 6523 aus Lecture Notes in Computer Science, herausgegeben von K Lee, W Tsai, HM Liao, T Chen, J Hsieh und C Tseng. Springer. doi: 10.1007/978-3-642-17832-0_36.
Beecks, C, Assent, I, und Seidl, T. 2011. „Content-Based Multimedia Retrieval in the Presence of Unknown User Preferences.“ In Advances in Multimedia Modeling - 17th International Multimedia Modeling Conference, MMM 2011, Taipei, Taiwan, January 5-7, 2011, Proceedings, Part I, Bd. 6523 aus Lecture Notes in Computer Science, herausgegeben von K Lee, W Tsai, HM Liao, T Chen, J Hsieh und C Tseng. Springer. doi: 10.1007/978-3-642-17832-0_14.
Beecks, C, Ivanescu, AM, Kirchhoff, S, und Seidl, T. 2011. „Modeling multimedia contents through probabilistic feature signatures.“ In Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28 - December 1, 2011, herausgegeben von KS Candan, S Panchanathan, B Prabhakaran, H Sundaram, W Feng und N Sebe. ACM Press. doi: 10.1145/2072298.2072033.
Beecks, C, Lokoc, J, Seidl, T, und Skopal, T. 2011. „Indexing the signature quadratic form distance for efficient content-based multimedia retrieval.“ In Proceedings of the 1st International Conference on Multimedia Retrieval, ICMR 2011, Trento, Italy, April 18 - 20, 2011, herausgegeben von FGBD Natale, AD Bimbo, A Hanjalic, BS Manjunath und S Satoh. ACM Press. doi: 10.1145/1991996.1992020.
Schoeffmann, K, Ahlströ}m, D, und Beecks, C. 2011. „3D Image Browsing on Mobile Devices.“ In 2011 IEEE International Symposium on Multimedia, ISM 2011, Dana Point, CA, USA, December 5-7, 2011 Wiley-IEEE Computer Society Press. doi: 10.1109/ISM.2011.60.
Beecks, C, und Seidl, T. 2011. „Analyzing the inner workings of the Signature Quadratic Form Distance.“ In Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, ICME 2011, 11-15 July, 2011, Barcelona, Catalonia, Spain Wiley-IEEE Computer Society Press. doi: 10.1109/ICME.2011.6012243.
Beecks, C, Ivanescu, AM, Kirchhoff, S, und Seidl, T. 2011. „Modeling image similarity by Gaussian mixture models and the Signature Quadratic Form Distance.“ In IEEE International Conference on Computer Vision, ICCV 2011, Barcelona, Spain, November 6-13, 2011, herausgegeben von DN Metaxas, L Quan, A Sanfeliu und LJV Gool. Wiley-IEEE Computer Society Press. doi: 10.1109/ICCV.2011.6126440.
Krulis, M, Lokoc, J, Beecks, C, Skopal, T, und Seidl, T. 2011. „Processing the signature quadratic form distance on many-core GPU architectures.“ In Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011, herausgegeben von C Macdonald, I Ounis und I Ruthven. ACM Press. doi: 10.1145/2063576.2063970.
Beecks, C, Uysal, MS, und Seidl, T. 2010. „Similarity matrix compression for efficient signature quadratic form distance computation.“ In Third International Workshop on Similarity Search and Applications, SISAP 2010, 18-19 September 2010, Istanbul, Turkey, herausgegeben von P Ciaccia und M Patella. ACM Press. doi: 10.1145/1862344.1862361.
Beecks, C, Driessen, P, und Seidl, T. 2010. „Index support for content-based multimedia exploration.“ In Proceedings of the 18th International Conference on Multimedia 2010, Firenze, Italy, October 25-29, 2010, herausgegeben von AD Bimbo, S Chang und AWM Smeulders. ACM Press. doi: 10.1145/1873951.1874134.
Beecks, C, Wiedenfeld, S, und Seidl, T. 2010. „Improving the Efficiency of Content-Based Multimedia Exploration.“ In 20th International Conference on Pattern Recognition, ICPR 2010, Istanbul, Turkey, 23-26 August 2010 Wiley-IEEE Computer Society Press. doi: 10.1109/ICPR.2010.774.
Beecks, C, Uysal, MS, und Seidl, T. 2010. „A comparative study of similarity measures for content-based multimedia retrieval.“ In Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, ICME 2010, 19-23 July 2010, Singapore Wiley-IEEE Computer Society Press. doi: 10.1109/ICME.2010.5582949.
Beecks, C, Stadelmann, T, Freisleben, B, und Seidl, T. 2010. „Visual speaker model exploration.“ In Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, ICME 2010, 19-23 July 2010, Singapore Wiley-IEEE Computer Society Press. doi: 10.1109/ICME.2010.5583176.
Beecks, C, Uysal, MS, und Seidl, T. 2010. „Efficient k-nearest neighbor queries with the Signature Quadratic Form Distance.“ In Workshops Proceedings of the 26th International Conference on Data Engineering, ICDE 2010, March 1-6, 2010, Long Beach, California, USA Wiley-IEEE Computer Society Press. doi: 10.1109/ICDEW.2010.5452772.
Beecks, C, Uysal, MS, und Seidl, T. 2010. „Signature Quadratic Form Distance.“ In Proceedings of the 9th ACM International Conference on Image and Video Retrieval, CIVR 2010, Xi'an, China, July 5-7, 2010, herausgegeben von S Li, X Gao und N Sebe. ACM Press. doi: 10.1145/1816041.1816105.
Beecks, C, Uysal, MS, und Seidl, T. 2009. „Signature quadratic form distances for content-based similarity.“ In Proceedings of the 17th International Conference on Multimedia 2009, Vancouver, British Columbia, Canada, October 19-24, 2009, herausgegeben von W Gao, Y Rui, A Hanjalic, C Xu, EG Steinbach, A El-Saddik und MX Zhou. ACM Press. doi: 10.1145/1631272.1631391.
Wichterich, M, Beecks, C, Sundermeyer, M, und Seidl, T. 2009. „Exploring multimedia databases via optimization-based relevance feedback and the earth mover's distance.“ In Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, Hong Kong, China, November 2-6, 2009, herausgegeben von DW Cheung, I Song, WW Chu, X Hu und JJ Lin. ACM Press. doi: 10.1145/1645953.1646187.
Beecks, C, Wichterich, M, und Seidl, T. 2009. „Metrische Anpassung der Earth Mover's Distanz zur Ähnlichkeitssuche in Multimedia-Datenbanken.“ In Datenbanksysteme in Business, Technologie und Web (BTW 2009), 13. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), Proceedings, 2.-6. März 2009, Münster, Germany, Bd. 144 aus LNI, herausgegeben von JC Freytag, T Ruf, W Lehner und G Vossen. Gesellschaft für Informatik.
Wichterich, M, Beecks, C, Sundermeyer, M, und Seidl, T. 2009. „Relevance Feedback for the Earth Mover's Distance.“ In Adaptive Multimedia Retrieval. Understanding Media and Adapting to the User - 7th International Workshop, AMR 2009, Madrid, Spain, September 24-25, 2009, Revised Selected Papers, Bd. 6535 aus Lecture Notes in Computer Science, herausgegeben von M Detyniecki, A García-Serrano und A Nürnberger. Springer. doi: 10.1007/978-3-642-18449-9_7.
Wichterich, M, Beecks, C, und Seidl, T. 2008. „Ranking multimedia databases via relevance feedback with history and foresight support.“ In Proceedings of the 24th International Conference on Data Engineering Workshops, ICDE 2008, April 7-12, 2008, Cancún, México Wiley-IEEE Computer Society Press. doi: 10.1109/ICDEW.2008.4498386.

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