Publikationen

• 2021

  • Berns F, Hüwel JD, Beecks C. LOGIC: Probabilistic Machine Learning for Time Series Classification. In 2021 IEEE International Conference on Data Mining (ICDM), 2021, doi: 10.1109/ICDM51629.2021.00113.
  • Hüwel J D, Berns F, Beecks C. ‘Automated Kernel Search for Gaussian Processes on Data Streams‘. In Proceedings of IEEE International Conference on Big Data, Orlando, FL, USA, 3584-3588, 2021, doi: 10.1109/BigData52589.2021.9671767.
  • Álvarez-Napagao S, Ashmore B, Barroso M, Barrué C, Beecks C, Berns F, Bosi I, Chala S, Ciulli N, Garcia-Gasulla M, Grass A, Ioannidis D, Jakubiak N, Köpke K, Lämsä V, Megias P, Nizamis A, Pastrone C, Rossini R, Sànchez-Marrè M, Ziliotti L.
    ‘knowlEdge Project - Concept, Methodology and Innovations for Artificial Intelligence in Industry 4.0‘. In Proceedings of the 19th IEEE International Conference on Industrial Informatics, Palma de Mallorca, Spain, 1-7, 2021, doi: 10.1109/INDIN45523.2021.9557410.
  • Berns F, Beecks C. ‘Complexity-Adaptive Gaussian Process Model Inference for Large-Scale Data.’ In Proceedings of the 2021 SIAM International Conference on Data Mining (SDM), 360-368, 2021, doi: 10.1137/1.9781611976700.41.
  • Berns F, Beecks C. ‘Stochastic Time Series Representation for Interval Pattern Mining via Gaussian Processes.’ In Proceedings of the 2021 SIAM International Conference on Data Mining (SDM), 10-18, 2021, doi: 10.1137/1.9781611976700.2.
  • Berns F, Strueber JH, Beecks C. ‘Local Gaussian Process Model Inference Classification for Time Series Data.’ In Proceedings of the 33rd International Conference on Scientific and Statistical Database Management, Tampa, Florida, USA. 2021, doi: 10.1145/3468791.3468839.

• 2020

  • Berns F, Beecks C. ‘Automatic Gaussian Process Model Retrieval for Big Data.’ In Proceedings of the ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, 2020. doi: 10.1145/3340531.3412182.
  • Berns F, Beecks C. ‘Towards Large-scale Gaussian Process Models for Efficient Bayesian Machine Learning.’ In Proceedings of the 9th International Conference on Data Science, Technology and Applications, 2020. doi: 10.5220/0009874702750282.
  • Berns F, Beecks C. ‘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, 71-80: SciTePress, 2020. doi: 10.5220/0010109700710080.
  • Berns F, Schmidt K, Bracht I, Beecks C. ‘3CS Algorithm for Efficient Gaussian Process Model Retrieval.’ In Proceedings of the 25th International Conference on Pattern Recognition 2020, 1773-1780.: IEEE Computer Society. 2020, doi: 10.1109/ICPR48806.2021.9412805.
  • Berns F, Ramsdorf T, Beecks C. ‘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, 650-661.: Springer, 2020, doi: 10.1007/978-3-030-68799-1_47.
  • Berns F, Lange-Hegermann M, Beecks C. ‘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,, 87-92.: SciTePress, 2020. doi: 10.5220/0010130300870092.
  • Pandian V P S, Suleri S, Beecks C, Jarke M. ‘MetaMorph: AI Assistance to Transform Lo-Fi Sketches to Higher Fidelities‘. In Proceedings 32nd Australian Conference on Human-Computer-Interaction 2020, Sydney, Australia, 403-412. doi: 10.1145/3441000.3441030.

• 2019

  • Beecks C, Berns F, Schmidt KW. ‘Ptolemaic Indexing for Managing and Querying Internet of Things (IoT) Data.’ In 2019 IEEE International Conference on Big Data (Big Data), 4148-4151.: IEEE. doi: 10.1109/BigData47090.2019.9005725.
  • Beecks C, Schmidt KW, Berns F, Grass A. ‘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.: CEUR-WS.org.
  • Berns F, Rossetto L, Schoeffmann K, Beecks C, Awad G. ‘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, edited by El-Saddik A, Bimbo AD, Zhang Z, Hauptmann AG, Candan KS et al., 334-338.: ACM. doi: 10.1145/3323873.3325051.
  • Berns F, Schmidt K, Grass A, Beecks C. ‘A New Approach for Efficient Structure Discovery in IoT.’ In 2019 IEEE International Conference on Big Data (Big Data), 4152-4156.: IEEE. doi: 10.1109/BigData47090.2019.9006082.
  • Leibetseder A, Münzer B, Primus MJ, Kletz S, Schoeffmann K, Berns F, Beecks C. ‘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, edited by Gurrin C, Schöffmann K, Joho H, Dang-Nguyen D, Riegler M, Piras L, 13-17.: ACM. doi: 10.1145/3326460.3329157.
  • Sandfort F, Strieth-Kalthoff F, Kühnemund M, Beecks C, Glorius F. ‘A Structure-Based Platform for Predicting Chemical Reactivity.’ ChemRxiv 2019. doi: 10.26434/chemrxiv.9981488.v1.

• 2018

  • Beecks C, Berrendorf M. ‘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, 614-623. doi: 10.1109/BigData.2018.8622493.
  • Beecks C, Devasya S, Schlutter R. ‘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, 1-6.: Springer, 2018. doi: 10.1007/978-3-662-58485-9\_1.
  • Beecks C, Grass A. ‘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, edited by Younas M, Disso JP, 230-235.: IEEE Computer Society. doi: 10.1109/FiCloud.2018.00041.
  • Beecks C, Grass A, Devasya S. ‘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, 5132-5136. doi: 10.1109/BigData.2018.8622387.
  • Grass A, Beecks C, Soto JAC. ‘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, 18-25.: Springer. doi: 10.1007/978-3-662-58485-9\_3.
  • Schoeffmann K, Husslein H, Kletz S, Petscharnig S, Münzer B, Beecks C. ‘Video retrieval in laparoscopic video recordings with dynamic content descriptors.’ Multimedia Tools Appl. 77, No. 13: 16813-16832, 2018. doi: 10.1007/s11042-017-5252-2.

• 2017

  • Beecks C, Borutta F, Kröger P, Seidl T (Eds.): Similarity Search and Applications - 10th International Conference, SISAP 2017, Munich, Germany, October 4-6, 2017, Proceedings. : Springer. doi: 10.1007/978-3-319-68474-1.
  • Beecks C, Kletz S, Schoeffmann K. ‘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, 17-21.: IEEE Computer Society. doi: 10.1109/BigMM.2017.44.
  • Münzer B, Primus MJ, Hudelist MA, Beecks C, Hürst W, Schoeffmann K. ‘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, 214-219.: IEEE Computer Society. doi: 10.1109/ICMEW.2017.8026262.
  • Schüller D, Beecks C, Hassani M, Hinnell J, Brenger B, Seidl T, Mittelberg I. ‘Automated Pattern Analysis in Gesture Research: Similarity Measuring in 3D Motion Capture Models of Communicative Action.’ Digital Humanities Quarterly 11, No. 2, 2017.

• 2016

  • Beecks C, Grass A. ‘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, edited by Joshi J, Karypis G, Liu L, Hu X, Ak R et al., 596-605.: IEEE. doi: 10.1109/BigData.2016.7840652.
  • Beecks C, Hassani M, Brenger B, Hinnell J, Schüller D, Mittelberg I, Seidl T. ‘Efficient Query Processing in 3D Motion Capture Gesture Databases.’ Int. J. Semantic Computing 10, No. 1: 5-26, 2016. doi: 10.1142/S1793351X16400018.
  • Beecks C, Uysal MS, Seidl T. ‘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., edited by Pitoura E, Maabout S, Koutrika G, Marian A, Tanca L, Manolescu I, Stefanidis K, 722-723.: OpenProceedings.org. doi: 10.5441/002/edbt.2016.105.
  • Hudelist MA, Beecks C, Schoeffmann K. ‘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, edited by Timmerer C, 31:1-31:4.: ACM. doi: 10.1145/2910017.2910631.
  • Hudelist MA, Cobarzan C, Beecks C, Werken R, Kletz S, Hürst W, Schoeffmann K. ‘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, edited by Tian Q, Sebe N, Qi G, Huet B, Hong R, Liu X, 400-405.: Springer. doi: 10.1007/978-3-319-27674-8_40.
  • Hürst W, Ching AIV, Hudelist MA, Primus MJ, Schoeffmann K, Beecks C. ‘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, edited by Hanjalic A, Snoek C, Worring M, Bulterman DCA, Huet B et al., 731-732.: ACM. doi: 10.1145/2964284.2973824.
  • Nies TD, Beecks C, Godin F, Neve WD, Stepien G et al. ‘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, edited by Sack H, Blomqvist E, d'Aquin M, Ghidini C, Ponzetto SP, Lange C, 69-84.: Springer. doi: 10.1007/978-3-319-34129-3_5.
  • Nies TD, Beecks C, Godin F, Neve WD, Stepien G et al. ‘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, 254-257.: IEEE Computer Society. doi: 10.1109/ICSC.2016.55.
  • Schoeffmann K, Beecks C, Lux M, Uysal MS, Seidl T. ‘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, edited by Webster RJ, Yaniv ZR, 97861V.: SPIE. doi: 10.1117/12.2216864.
  • Uysal MS, Beecks C, Sabinasz D, Schmücking J, Seidl T. ‘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., edited by Pitoura E, Maabout S, Koutrika G, Marian A, Tanca L, Manolescu I, Stefanidis K, 389-400.: OpenProceedings.org. doi: 10.5441/002/edbt.2016.36.
  • Vocht LD, Beecks C, Verborgh R, Mannens E, Seidl T, Walle RV. ‘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, edited by Yamamoto S, 238-251.: Springer. doi: 10.1007/978-3-319-40349-6_23.

• 2015

  • Beecks C, Hassani M, Hinnell J, Schüller D, Brenger B, Mittelberg I, Seidl T. ‘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, edited by Claramunt C, Schneider M, Wong RC, Xiong L, Loh W, Shahabi C, Li K, 355-372.: Springer. doi: 10.1007/978-3-319-22363-6_19.
  • Beecks C, Hassani M, Obeloer F, Seidl T. ‘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, 148-153.: IEEE Computer Society. doi: 10.1109/ISM.2015.86.
  • Beecks C, Hassani M, Obeloer F, Seidl T. ‘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, 1425-1432.: IEEE Computer Society. doi: 10.1109/ICDMW.2015.194.
  • Beecks C, Schoeffmann K, Lux M, Uysal MS, Seidl T. ‘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, 33-38.: IEEE Computer Society. doi: 10.1109/ISM.2015.21.
  • Beecks C, Uysal MS, Hermanns J, Seidl T. ‘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, edited by Bailey J, Moffat A, Aggarwal CC, Rijke M, Kumar R et al., 1241-1250.: ACM. doi: 10.1145/2806416.2806459.
  • Beecks C, Uysal MS, Seidl T. ‘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, edited by He X, Luo S, Tao D, Xu C, Yang J, Hasan MA, 294-305.: Springer. doi: 10.1007/978-3-319-14445-0_26.
  • Beecks C, Uysal MS, Seidl T. ‘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, 2834-2835.: IEEE. doi: 10.1109/BigData.2015.7364093.
  • Beecks C, Uysal MS, Seidl T. ‘Distance-based Multimedia Indexing.’ In Datenbanksysteme für Business, Technologie und Web (BTW 2015) - Workshopband, 2.-3. März 2015, Hamburg, Germany, edited by Ritter N, Henrich A, Lehner W, Thor A, Friedrich S, Wingerath W, 265-268.: GI.
  • Beecks C, Uysal MS, Seidl T. ‘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, 233-236.: IEEE Computer Society. doi: 10.1109/ISM.2015.76.
  • Hassani M, Beecks C, Töws D, Seidl T. ‘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., edited by Bergmann R, Görg S, Müller G, 159-170.: CEUR-WS.org.
  • Hassani M, Beecks C, Töws D, Serbina T, Haberstroh M et al. ‘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, edited by Seidl T, Ritter N, Schöning H, Sattler K, Härder T, Friedrich S, Wingerath W, 683-686.: GI.
  • Töws D, Hassani M, Beecks C, Seidl T. ‘Optimizing Sequential Pattern Mining Within Multiple Streams.’ In Datenbanksysteme für Business, Technologie und Web (BTW 2015) - Workshopband, 2.-3. März 2015, Hamburg, Germany, edited by Ritter N, Henrich A, Lehner W, Thor A, Friedrich S, Wingerath W, 223-232.: GI.
  • Uysal MS, Beecks C, Sabinasz D, Seidl T. ‘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, edited by Altingovde IS, Cambazoglu BB, Tonellotto N, 3-8.: ACM. doi: 10.1145/2809948.2809950.
  • Uysal MS, Beecks C, Sabinasz D, Seidl T. ‘Effective Content-Based Near-Duplicate Video Detection.’ In 2015 IEEE International Symposium on Multimedia, ISM 2015, Miami, FL, USA, December 14-16, 2015, 254-257.: IEEE Computer Society. doi: 10.1109/ISM.2015.60.
  • Uysal MS, Beecks C, Sabinasz D, Seidl T. ‘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, edited by Amato G, Connor RCH, Falchi F, Gennaro C, 347-350.: Springer. doi: 10.1007/978-3-319-25087-8_34.
  • Uysal MS, Beecks C, Schmücking J, Seidl T. ‘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, edited by Gupta A, Rathbun SL, 30:1-30:12.: ACM. doi: 10.1145/2791347.2791384.
  • Uysal MS, Beecks C, Seidl T. ‘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, 1-6.: IEEE. doi: 10.1109/CBMI.2015.7153633.
  • Vocht LD, Beecks C, Verborgh R, Seidl T, Mannens E, Walle RV. ‘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, edited by Gandon F, Guéret C, Villata S, Breslin JG, Faron-Zucker C, Zimmermann A, 31-35.: Springer. doi: 10.1007/978-3-319-25639-9_6.

• 2014

  • Beecks C, Kirchhoff S, Seidl T. ‘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., edited by Seidl T, Hassani M, Beecks C, 226.: CEUR-WS.org.
  • Beecks C, Kirchhoff S, Seidl T. ‘On stability of signature-based similarity measures for content-based image retrieval.’ Multimedia Tools Appl. 71, No. 1: 349-362, 2014. doi: 10.1007/s11042-012-1334-3.
  • Godin F, Nies TD, Beecks C, Vocht LD, Neve WD et al. ‘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, edited by Presutti V, Blomqvist E, Troncy R, Sack H, Papadakis I, Tordai A, 218-221.: Springer. doi: 10.1007/978-3-319-11955-7_22.
  • Nies TD, Beecks C, Neve WD, Seidl T, Mannens E, Walle RV. ‘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, edited by Alonso O, Kamps J, Karlgren J, 9-11.: ACM. doi: 10.1145/2663712.2666194.
  • Seidl T, Hassani M, Beecks C (Eds.): Proceedings of the 16th LWA Workshops: KDML, IR and FGWM, Aachen, Germany, September 8-10, 2014. : CEUR-WS.org.
  • Uysal MS, Beecks C, Schmücking J, Seidl T. ‘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, edited by Li J, Wang XS, Garofalakis MN, Soboroff I, Suel T, Wang M, 979-988.: ACM. doi: 10.1145/2661829.2661877.
  • Uysal MS, Beecks C, Seidl T. ‘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, edited by Melo G, Kacimi M, Varde AS, 25-32.: ACM. doi: 10.1145/2663714.2668047.

• 2013

  • Beecks C. Distance based similarity models for content based multimedia retrieval Doctoral Thesis, 2013, RWTH Aachen University.
  • Beecks C, Kirchhoff S, Seidl T. ‘Signature matching distance for content-based image retrieval.’ In International Conference on Multimedia Retrieval, ICMR'13, Dallas, TX, USA, April 16-19, 2013, edited by Jain R, Prabhakaran B, Worring M, Smith JR, Chua T, 41-48.: ACM. doi: 10.1145/2461466.2461474.
  • Beecks C, Uysal MS, Driessen P, Seidl T. ‘Content-based exploration of multimedia databases.’ In 11th International Workshop on Content-Based Multimedia Indexing, CBMI 2013, Veszprém, Hungary, June 17-19, 2013, 59-64.: IEEE. doi: 10.1109/CBMI.2013.6576553.
  • Hetland ML, Skopal T, Lokoc J, Beecks C. ‘Ptolemaic access methods: Challenging the reign of the metric space model.’ Inf. Syst. 38, 2013, No. 7: 989-1006. doi: 10.1016/j.is.2012.05.011.

• 2012

  • Beecks C, Seidl T. ‘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, edited by Schoeffmann K, Mérialdo B, Hauptmann AG, Ngo C, Andreopoulos Y, Breiteneder C, 346-357.: Springer. doi: 10.1007/978-3-642-27355-1_33.
  • Ivanescu AM, Wichterich M, Beecks C, Seidl T. ‘The ClasSi coefficient for the evaluation of ranking quality in the presence of class similarities.’ Frontiers Comput. Sci. 6, 2012, No. 5: 568-580. doi: 10.1007/s11704-012-1175-2.
  • Krulis M, Skopal T, Lokoc J, Beecks C. ‘Combining CPU and GPU architectures for fast similarity search.’ Distributed and Parallel Databases 30, 2012, No. 3-4: 179-207. doi: 10.1007/s10619-012-7092-4.

• 2011

  • Beecks C, Assent I, Seidl T. ‘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, edited by Lee K, Tsai W, Liao HM, Chen T, Hsieh J, Tseng C, 140-150.: Springer. doi: 10.1007/978-3-642-17832-0_14.
  • Beecks C, Ivanescu AM, Kirchhoff S, Seidl T. ‘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, edited by Metaxas DN, Quan L, Sanfeliu A, Gool LJV, 1754-1761.: IEEE Computer Society. doi: 10.1109/ICCV.2011.6126440.
  • Beecks C, Ivanescu AM, Kirchhoff S, Seidl T. ‘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, edited by Candan KS, Panchanathan S, Prabhakaran B, Sundaram H, Feng W, Sebe N, 1433-1436.: ACM. doi: 10.1145/2072298.2072033.
  • Beecks C, Ivanescu AM, Seidl T, Martin D, Pischke P, Kneer R. ‘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, edited by Ferro A, 117-118.: ACM. doi: 10.1145/1995412.1995436.
  • Beecks C, Lokoc J, Seidl T, Skopal T. ‘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, edited by Natale FGBD, Bimbo AD, Hanjalic A, Manjunath BS, Satoh S, 24.: ACM. doi: 10.1145/1991996.1992020.
  • Beecks C, Seidl T. ‘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, 1-6.: IEEE Computer Society. doi: 10.1109/ICME.2011.6012243.
  • Beecks C, Uysal MS, Seidl T. ‘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, edited by Lee K, Tsai W, Liao HM, Chen T, Hsieh J, Tseng C, 381-391.: Springer. doi: 10.1007/978-3-642-17832-0_36.
  • Krulis M, Lokoc J, Beecks C, Skopal T, Seidl T. ‘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, edited by Macdonald C, Ounis I, Ruthven I, 2373-2376.: ACM. doi: 10.1145/2063576.2063970.
  • Lokoc J, Beecks C, Seidl T, Skopal T. ‘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, edited by Ferro A, 121-122.: ACM. doi: 10.1145/1995412.1995438.
  • Lokoc J, Hetland ML, Skopal T, Beecks C. ‘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, edited by Ferro A, 9-16.: ACM. doi: 10.1145/1995412.1995417.
  • Schoeffmann K, Ahlströ}m D, Beecks C. ‘3D Image Browsing on Mobile Devices.’ In 2011 IEEE International Symposium on Multimedia, ISM 2011, Dana Point, CA, USA, December 5-7, 2011, 335-336.: IEEE Computer Society. doi: 10.1109/ISM.2011.60.

• 2010

  • Beecks C, Driessen P, Seidl T. ‘Index support for content-based multimedia exploration.’ In Proceedings of the 18th International Conference on Multimedia 2010, Firenze, Italy, October 25-29, 2010, edited by Bimbo AD, Chang S, Smeulders AWM, 999-1002.: ACM. doi: 10.1145/1873951.1874134.
  • Beecks C, Stadelmann T, Freisleben B, Seidl T. ‘Visual speaker model exploration.’ In Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, ICME 2010, 19-23 July 2010, Singapore, 727-728.: IEEE Computer Society. doi: 10.1109/ICME.2010.5583176.
  • Beecks C, Uysal MS, Seidl T. ‘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, edited by Ciaccia P, Patella M, 109-114.: ACM. doi: 10.1145/1862344.1862361.
  • Beecks C, Uysal MS, Seidl T. ‘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, edited by Li S, Gao X, Sebe N, 438-445.: ACM. doi: 10.1145/1816041.1816105.
  • Beecks C, Uysal MS, Seidl T. ‘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, 1552-1557.: IEEE Computer Society. doi: 10.1109/ICME.2010.5582949.
  • Beecks C, Uysal MS, Seidl T. ‘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, 10-15.: IEEE Computer Society. doi: 10.1109/ICDEW.2010.5452772.
  • Beecks C, Wiedenfeld S, Seidl T. ‘Improving the Efficiency of Content-Based Multimedia Exploration.’ In 20th International Conference on Pattern Recognition, ICPR 2010, Istanbul, Turkey, 23-26 August 2010, 3163-3166.: IEEE Computer Society. doi: 10.1109/ICPR.2010.774.

• 2009

  • Beecks C, Uysal MS, Seidl T. ‘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, edited by Gao W, Rui Y, Hanjalic A, Xu C, Steinbach EG, El-Saddik A, Zhou MX, 697-700.: ACM. doi: 10.1145/1631272.1631391.
  • Beecks C, Wichterich M, Seidl T. „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, herausgegeben von Freytag JC, Ruf T, Lehner W, Vossen G, 207-216.: GI.
  • Wichterich M, Beecks C, Sundermeyer M, Seidl T. ‘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, edited by Detyniecki M, García-Serrano A, Nürnberger A, 72-86.: Springer. doi: 10.1007/978-3-642-18449-9_7.
  • Wichterich M, Beecks C, Sundermeyer M, Seidl T. ‘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, edited by Cheung DW, Song I, Chu WW, Hu X, Lin JJ, 1621-1624.: ACM. doi: 10.1145/1645953.1646187.

• 2008

  • Wichterich M, Beecks C, Seidl T. ‘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, 596-599.: IEEE Computer Society. doi: 10.1109/ICDEW.2008.4498386.