Dagstuhl-Seminar 08091
Logic and Probability for Scene Interpretation
( 24. Feb – 29. Feb, 2008 )
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Organisatoren
- Anthony Cohn (University of Leeds, GB)
- David C. Hogg (University of Leeds, GB)
- Ralf Moeller (TU Hamburg-Harburg, DE)
- Bernd Neumann (Universität Hamburg, DE)
Kontakt
- Annette Beyer (für administrative Fragen)
Presse/News
- Wie Computer lernen, Video-Szenen selbstständig zu interpretieren
- Mit Hilfe künstlicher Intelligenz auf Verbrecherjagd
- Sarre: conférence sur la vidéosurveillance intelligente
- Blick für das Wesentliche
- Künstliche Intelligenz für die Überwachungskamera
- Logik und Wahrscheinlichkeiten helfen Szenen zu interpretieren
Impacts
- Architectural and Representational Requirements for Seeing Processes, Proto-affordances and Affordances - Sloman, Aaron - Birmingham : School of Computer Science, 2008. - 55 S. - (Birmingham Cosy Technical Reports ; 0801).
- Some Requirements for Human-like Robots : Why The Recent Over-emphasis on Embodiment has Held up Progress - Sloman, Aaron - Birmingham : School of Computer Science, 2008. - 27 S. - (Birmingham Cosy Technical Reports ; 0804).
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Logik und Wahrscheinlichkeiten helfen Szenen zu interpretieren
Computer Zeitung Online, 28.3.2008 (in German) -
Künstliche Intelligenz für die Überwachungskamera
Computerclub Zwei, 3.3.2008 (in German) -
Blick für das Wesentliche
Deutschlandradio/Deutschlandfunk, 27.2.2008 (in German) -
Sarre: conférence sur la viéosurveillance intelligente
Républicain-Lorrain, Februar 2008 (in French) -
Mit Hilfe künstlicher Intelligenz auf Verbrecherjagd
Saarbrücker Zeitung Ausgabe St. Ingbert, 19.2.08 (in German) -
Wie Computer lernen, Video-Szenen selbstständig zu interpretieren
Press Release 14.02.2008 (German only)
From 25.2.2008 to Friday 29.2.2008, the Dagstuhl Seminar 08091 "Logic and Probability for Scene Interpretation" was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. Links to extended abstracts or full papers are provided, if available.
The program consisted of 21 talks and discussions, attended by 40 participants from 12 countries. In accordance with the interdisciplinary nature of the workshop topic, the attendants represented distinct streams in Computer Vision, AI and Cognitive Science, in particular High-level Computer Vision, Logical Models in AI, Probabilistic Models in AI, Robotics, Multimedia Content Representation, and Cognitive Models.
The main goal of the workshop "to advance the use of logic-based knowledge representation and reasoning for scene interpretation (static and dynamic scenes), and explore possible ways for reconciling logics with probabilistic models" has been reached in several respects.
However, unanswered questions and unsolved problems by far outnumbered definite answers to the questions with which the workshop has started. Here are some of these open questions:Are there a priori roles for logics and probabilities in scene interpretation? What is the proper semantics for peobabilities in scene interpretation? What is the impact of high-level and common sense knowledge in scene interpretation?What are the consequences of logics and probabilities for a scene interpretation system architecture?Thanks to the professional and friendly people of the Dagstuhl organisation! Many of the participants hope to convene again in Dagstuhl for discussions of a similar topic.
- Meg Aycinena (MIT - Cambridge, US)
- Brandon Bennett (University of Leeds, GB) [dblp]
- Francois Bremond (INRIA Sophia Antipolis - Méditerranée, FR) [dblp]
- Gerhard Brewka (Universität Leipzig, DE) [dblp]
- Guillaume Charpiat (INRIA Sophia Antipolis - Méditerranée, FR)
- Anthony Cohn (University of Leeds, GB) [dblp]
- Dima Damen (University of Leeds, GB)
- Luc De Raedt (KU Leuven, BE) [dblp]
- Hannah Dee (University of Leeds, GB) [dblp]
- Wolfgang Förstner (Universität Bonn, DE)
- Christian Freksa (Universität Bremen, DE) [dblp]
- Daniel Heesch (Imperial College London, GB)
- Otthein Herzog (Universität Bremen, DE)
- Pascal Hitzler (Wright State University - Dayton, US) [dblp]
- Vaclav Hlavac (Czech Technical University, CZ) [dblp]
- David C. Hogg (University of Leeds, GB) [dblp]
- Somboon Hongeng (University of Birmingham, GB)
- Britta Hummel (KIT - Karlsruher Institut für Technologie, DE)
- Manfred Jaeger (Aalborg University, DK) [dblp]
- Atila Kaya (TU Hamburg-Harburg, DE)
- Gerhard Lakemeyer (RWTH Aachen, DE) [dblp]
- Bastian Leibe (RWTH Aachen, DE) [dblp]
- Jim Little (University of British Columbia - Vancouver, CA) [dblp]
- Irina Lulcheva (KIT - Karlsruher Institut für Technologie, DE)
- Ralf Moeller (TU Hamburg-Harburg, DE) [dblp]
- Hans-Hellmut Nagel (KIT - Karlsruher Institut für Technologie, DE)
- Tobias Näth (TU Hamburg-Harburg, DE)
- Bernd Neumann (Universität Hamburg, DE) [dblp]
- Dietrich Paulus (Universität Koblenz-Landau, DE) [dblp]
- Maria Petrou (Imperial College London, GB)
- Fiora Pirri (Sapienza University of Rome, IT) [dblp]
- Paulo E. Santos (University Center of FEI - Sao Paolo, BR) [dblp]
- Matthias Schlemmer (TU Wien, AT)
- Aaron Sloman (University of Birmingham, GB) [dblp]
- Muralikrishna Sridhar (University of Leeds, GB) [dblp]
- Steffen Staab (Universität Koblenz-Landau, DE) [dblp]
- Umberto Straccia (CNR - Pisa, IT)
- Agnes Swadzba (Universität Bielefeld, DE)
- Monique Thonnat (INRIA Sophia Antipolis - Méditerranée, FR)
- Sven Wachsmuth (Universität Bielefeld, DE)
- Diedrich Wolter (Universität Bremen, DE) [dblp]
- Mai Xu (Imperial College London, GB)
- Frank-Michael Zimmer (Universität Hamburg, DE)
Verwandte Seminare
Klassifikation
- artificial intelligence / robotics
- computer graphics / computer vision
- semantics / specification / formal methods
Schlagworte
- Scene Interpretation
- Logical Models
- Probabilistic Models
