Recent Publications:

Bohlken, W.; Neumann, B.; Hotz, L.; Koopmann, P.; Ontology-Based Realtime Activity Monitoring Using Beam Search. In: Crowley, J.L. et al. (eds.): ICVS 2011, LNCS 6962, 112--121. Springer, Heidelberg (2011)   PDF-File

Bohlken, W.; Koopmann, P.; Neumann, B.: SCENIOR: Ontology-based Interpretation of Aircraft Service Activities. Technical Report FBI-HH-B‐297/11, Department of Informatics, University of Hamburg, 2011   PDF-File

Herzog, R.; Neumann, B.; Solth, A.: Computer-based Stroke Extraction in Historical Manuscripts. Manuscript Cultures, Newsletter No. 3, 2011, 14-24   PDF-File

Hotz, L.; Neumann, B.: Learning and Recognizing Structures in Façade Scenes (eTRIMS) - a Retrospective. KI, 24(1), 2010, 63–68   PDF-File

Zimmer, F.-M.; Neumann, B.: Incremental Recognition of Multi-object Behaviour Using Hierarchical Probabilistic Models. Proc. of the 5th Workshop on Behaviour Monitoring and Interpretation, BMI'10, CEUR-WS.org, issn 1613-0073, 2010, 8-21   PDF-File

Neumann, B.: Temporal Predictions with Bayesian Compositional Hierarchies. Technical Note FBI-HH-M-343-10, Department of Informatics, Januar 2010   PDF-File

Neumann, B.; Terziç, K.: Context-based Probabilistic Scene Interpretation. In: Proc. IFIP AI-2010, Brisbane, Sept. 2010,155-164  PDF-File

Bohlken,W., Neumann, B.: Generation of Rules from Ontologies for High-level Scene Interpretation. In: G. Governatori et al. (eds.): Rule Interchange and Applications, Proc. International Symposium RuleML 2009, Springer LNCS 5858, 2009, 93-107  PDF-File

Hartz, J.; Hotz, L.; Neumann, B.; Terzic, K.: Automatic Incremental Model Learning for Scene Interpretation, To appear in: Proceedings of the International Conference on Computational Intelligence (IASTED CI-2009), Honolulu (Hawaii, USA), August 2009   PDF-File

Solth, A., Neumann, B., Stelldinger, P.: Strichextraktion und -analyse handschriftlicher chinesischer Zeichen. Report FBI-HH-B-291/09, Department of Informatics, University of Hamburg,  2009   PDF-File

Kreutzmann, A.; Terzic, K.; Neumann, B.: Context-aware Classification for Incremental Scene Interpretation. To appear in: Proc.  Workshop on Use of Context in Vision Processing (UCVP 2009), Boston, Nov 2009   PDF-File

Terziç, K.; Neumann, B.: Integrating Context Priors  into a Decision Tree Classification Scheme. To appear in: Proc. International Conference on Machine Vision, Image Processing, and Pattern Analysis (MVIPPA 2009), Bangkok, December 2009   PDF-File

Terzic, K., Neumann, B.: Decision Trees for Probabilistic Top-down and Bottom-up Integration. Report FBI-HH-B-288/09, Department of Informatics, University of Hamburg, 2009  PDF-File

L. Hotz, B. Neumann, K. Terzic: High-level Expectations for Low-level Image Processing. Proc. KI-2008, Springer, 2008, 87-94   PDF-File

 B. Neumann: Bayesian Compositional Hierarchies - A Probabilistic Structure for Scene Interpretation. Report FBI-HH-B-282/08, Department of Informatics, Hamburg University, 2008   PDF-File

R. Möller, B. Neumann: Ontology-Based Reasoning Techniques for Multimedia Interpretation and Retrieval. In: Y. Kompatsiaris, P. Hobson (Eds.): Semantic Multimedia and Ontologies: Theory and Applications, Springer 2008, 55-98   PDF-File (final draft)

J. Hartz, B. Neumann: Learning a Knowledge Base of Ontological Concepts for High-Level Scene Interpretation. International Conference on Machine Learning and Applications, Cincinnati (Ohio, USA), December 2007   PDF-File

K. Terzic, L. Hotz, B. Neumann: Division of Work During Behaviour Recognition - The SCENIC Approach. Workshop on Behaviour Monitoring and Interpretation BMI-07, KI-07, 2007, TZI-Bericht 42, Universität Bremen, 144-159   PDF-File

J. Hartz, B. Neumann: Learning a Knowledge Base of Ontological Concepts for High-Level Scene Interpretation, TR FBI-B-277/07, Department of Informatics, University of Hamburg, 2007   PDF-File

L. Hotz, B. Neumann, K. Terzic, J. Sochman: Feedback between Low-Level and High-Level Image Processing. TR FBI-B-278/07, Department of Informatics, University of Hamburg, 2007   PDF-File

B. Neumann, R. Möller: On Scene Interpretation with Description Logics. In: Cognitive Vision Systems, H.-H. Nagel and H. Christensen (eds.), Springer, LNCS 3948, 2006, 247-275.
Also published as TR FBI-B-257/04, Fachbereich Informatik, Universität Hamburg, 2004   PDF-File

L. Hotz, B. Neumann: Scene Interpretation as a Configuration Task. Künstliche Intelligenz, 3/2005, BöttcherIT Verlag, Bremen, 59-65
Also published as TR FBI-B-262/05, Fachbereich Informatik, Universität Hamburg, 2004   PDF-File

B. Neumann (ed.): Special Issue on Cognitive Vision. Künstliche Intelligenz, 2/2005, BöttcherIT Verlag, Bremen, 2005   PDF-Files

B. Neumann, R. Möller: On Scene Interpretation with Description Logics. FBI-B-257/04, Fachbereich Informatik, Universität Hamburg, 2004   PDF-File

A. Günter, R. Kruse, B. Neumann (eds.): KI2003 - Advances in Artificial Intelligence. Proc. 26th Annual German Conference on AI, Springer LNAI 2821, 2003

B. Neumann, T. Weiss: Navigating through logic-based scene models for high-level scene interpretations. In: Proc. 3rd International Conference on Computer Vision Systems - ICVS 2003, Springer, 2003 , 212-222   PDF-File

B. Neumann: A Conceptual Framework for High-Level Vision. TR FBI-HH-B245/02, Fachbereich Informatik, Universität Hamburg, Juli 2002   PDF-File

M. Musen, B. Neumann, R. Studer (eds.): Intelligent Information Processing, Kluwer, 2002

H. Milde, B. Neumann: Diagnoseforschung: Simulierte Pannen . uni hh Forschung Nr. XXXIV/2000, Universität Hamburg, 2000, 15-19

T. Mantay, B. Neumann : A Query-by-Example Information Retrieval Framework Based on a Terminological Knowledge Representation Framework. Proc. Intelligent Information Processing, WCC2000, PHEI, China, 2000, 289-297

H. Milde, L. Hotz, J. Kahl, B. Neumann, S. Wessel: The Modeling, Analyzing, and Diagnozing System (MAD). In: P. Struss, L. Hotz, T. Guckenbiehl (Hrsg.) INDIA - Intelligente Diagnose in der industriellen Anwendung, Shaker-Verlag, 2000.

H. Milde, T. Guckenbiehl, A. Malik, B. Neumann, P. Struss : Integrating Model-Based Diagnosis Techniques into Current Work Processes - Three Case Studies from the INDIA-Project. AI Communication 3/2000

T. Guckenbiehl, H. Milde, B. Neumann, P. Struss: Meeting Re-use Requirements of Real-life Diagnosis Applications. In: F. Puppe (Hrsg.) XPS-99: Knowledge-Based Systems, Springer LNAI, 1999, 90-100

R. Möller, V. Haarslev, B. Neumann: Semantics-Based Information Retrieval. In: Proc. IT&KNOWS-98: International Conference on Information Technology and Knowledge Systems, 31. August - 4. September, Vienna, Budapest, 1998.

L. Hotz,  J. Kahl, H. Milde, B. Neumann, S. Wessel: Entwurf eines Verfahrens zur automatischen Generierung von Fehlerstrukturen unter Einbeziehung des Wartungskontextes. Universität Hamburg, LKI, INDIA Bericht 98-01.

L. Hotz, H. Milde, R. Möller, B. Neumann: Resistive Networks Revisited: Exploitation of Network Structures and Qualitative Reasoning about Deviations is the Key. Proc. DX-97, The Eighth International Workshop on Principles of Diagnosis. Mont-Saint-Michel, France. September 15-18, 1997

L. Hotz, H. Milde, R. Möller, B. Neumann: Using Behavior Deviations and an Interval-Based Calculus for Modeling Electronic Circuits. Proc. Workshop der Fachgruppe Modellbasiertes und Qualitatives Schließen, also published as LKI-Memo No. 97/1, 1997

B. Neumann: Natürliche und Künstliche Intelligenz: Computerintelligenz heute - unser Thron wackelt. In: Spektrum der Wissenschaft, Dossier Kopf oder Computer, 4/97

B. Neumann: Providing Knowledge-Based Predictions for Dynamic Scene Analysis. Workshop on Dynamic Scene Recognition from Sensor Data, Toulouse, Frankreich, Juni 1997

C. Schnörr, R. Sprengel, B. Neumann: A Variational Aproach to the Design of Early Vision Algorithms. Computing Suppl. 11, 149-165, 1996

H. Lange, R. Möller, B. Neumann: Avoiding Combinatorial Explosion in Automatic Test Generation: Reasoning about Measurements is the Key. In: Proc. KI'96, Dresden, September 1996.

G. Kamp, B. Neumann
Knowledge-based Inference Methods for Modeling Technical Systems
in: Proc. 30th Hawaiian International Conference on System Sciences, Wailea, 1997, Hawaii Computer Society Press

R. Röhrig, B. Neumann
Situationserkennung in MIMIC, Labor für Künstliche Intelligenz, Universität Hamburg, MIMIC-Bericht Nr. 4/96

C. Schröder, B. Neumann
On the Logics of Image Interpretation: Model-Construction in a Formal Knowledge-Representation Framework
in: Proceedings ICIP-96, International Conference of Image Processing, Lausanne, Vol. 2/785-788, September 1996

B. Neumann
KONWERK- Technologietransfer mit einem Werkzeugsystem
in: A. Günter (Hrsg.) Wissensbasiertes Konfigurieren - Ergebnisse aus dem Projekt PROKON infix Verlag, St. Augustin, (S. 61-68), 1995

B. Neumann
Bildverstehen - ein Überblick
in: G. Görz (Hrsg.) Einführung in die Künstliche Intelligenz, 2. Auflage, Addison-Wesley, Kaptiel 6, S. 559-582,  684-702, 1995

B. Neumann, C. Schröder
How Useful is Formal Knowledge Reprsentation for Image Interpretation
in: Photogrammetric Reports Nr. 63, K. Torleg, E. Guelch (Hrsg.), Royal Institute of Technology, Stockholm; Proceedings of the Joint Workshop of ISPRS WG III/2 and IC WG II/III, August 30 - September 1, 1995, Stockholm, Sweden

S. Kockskämper, B. Neumann, U. Vogel
Raum-zeitlich ausgedehnte Regionen als Orientierungsmittel bei der Roboternavigation
in: Proc. Autonome Mobile Systeme AMS-95, Springer Verlag, 1995

B. Neumann, H. Kirschke
MOVIS - Anforderungen und Entwurf
Bericht des Labor für Künstliche Intelligenz, Universität Hamburg, Dezember 1995

R. Röhrig, B. Neumann
Situationen und Monitore: Zentrale Konzepte des Monitoring-Systems MIMIC
MIMIC Bericht Nr. 2/95, Mai 1995, Labor für Künstliche Intelligenz, Universität Hamburg