On scene interpretation with description logics

By Bernd Neumann, Ralf Möller. 2006

244 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing

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In Artificial Intelligence

In Computer Networks and Communications

In Signal Processing

Citations in the corpus

Formalizing Multimedia Interpretation based on Abduction over Description Logic Aboxes (2009, unknown): “– In the context of scene interpretation, recently, Möller and Neumann proposed the use of DLs for the representation of aggregates that can be used by reasoning services as building blocks for the scene interpretation process [6, 7].”
Applying Fuzzy DLs in the Extraction of Image Semantics (2009, methodology): “In the series of works presented in [28, 59, 29], crisp DLs are proposed for inferring descriptions modelled as logical aggregates.”
A Survey of Artificial Cognitive Systems: Implications for the Autonomous Development of Mental Capabilities in Computational Agents (2007, methodology): “Probabilistic frameworks have been proposed as an alternative (or sometimes an adjunct [37]) to these types of deterministic reasoning systems.”
Understanding Video Events: A Survey of Methods for Automatic Interpretation of Semantic Occurrences in Video (2009, background): “Description logics [146], [147] offer a very rich framework for representing video events including compositional hierarchy specification as well as semantic rela-”
Towards semantic maps for mobile robots (2008, methodology): “We will come back to the approach by Neumann and Möller [29]: They use a description logic domain theory and a representation of perceived environment objects and processes for aggregating bottom-up scene information from camera images and for hypothesizing top-down features to look for in the…”
Semantic Image Interpretation - Integration of Numerical Data and Logical Knowledge for Cognitive Vision (2018, unknown): “The Semantic Image Interpretation (SII) [51, 71] is the task of extracting such a detailed structure of the image content.”
Integration of numeric and symbolic information for semantic image interpretation (2016, unknown): “Neumann and M¨oller [26] proposed to integrate low-level features in the BK represented as a Description Logic (DL) theory.”