Proceedings Article10.1109/VLHCC.2006.8
An Agent-Based Framework for Context-Driven Interpretation of Symbols in Diagrammatic Sketches
G. Casella,Gennaro Costagliola,Vincenzo Deufemia,Maurizio Martelli,Viviana Mascardi +4 more
- 04 Sep 2006
- pp 73-80
8
TL;DR: This paper presents an agent-based framework for context-driven interpretation of symbols in diagrammatic sketches that heavily exploits contextual information for ambiguity resolution and management of low-level hand-drawn symbol recognizers.
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Abstract: Parsing hand-drawn diagrams is a definitely complex recognition problem. The input drawings are often intrinsically ambiguous, and require context to be interpreted in a correct way. Many existing sketch recognition systems avoid this problem by recognizing single segments or simple geometric shapes in a stroke. However, for a recognition system to be effective and precise, context must be exploited, and both the simplifications on the sketch features, and the constraints under which recognition may take place, must be reduced to the minimum. In this paper we present an agent-based framework for context-driven interpretation of symbols in diagrammatic sketches that heavily exploits contextual information for ambiguity resolution. Agents manage the activity of low-level hand-drawn symbol recognizers, that may be heterogeneous for better adapting to the characteristics of each symbol to be recognized, and coordinate themselves in order to exchange contextual information, thus leading to an efficient and precise interpretation of sketches.
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Citations
Elenco delle pubblicazioni
Elenco Delle,Pubblicazioni Di,Giuliano Soria,esplorazioni del Nuovo,Francisco de Vitoria,Julián del Casal,Alfonso Cortés,Ricardo Güiraldes,Horacio Quiroga,Jorge Luis Borges,Adolfo Bioy,Manuel Peyrou,Gustavo Adolfo Bécquer,Ignacio Sánchez,Adolfo Bioy Casares +14 more
- 01 Jan 2013
TL;DR: Soria as mentioned in this paper dedicato alla letteratura spagnola con approfondimenti sul teatro spagnolo del ‘Siglo de Oro’, (Calderon de la
An agent-based framework for sketched symbol interpretation
TL;DR: This paper presents an agent-based framework for sketched symbol interpretation that heavily exploits contextual information for ambiguity resolution, and presents AgentSketch, a multi-domain sketch recognition system implemented according to the proposed framework.
Recognition and processing of hand-drawn diagrams using syntactic and semantic analysis
Florian Brieler,Mark Minas +1 more
- 28 May 2008
TL;DR: DiaGen is built upon, a generic diagram editor generator enabling syntax and semantic analysis for diagrams, and extended it to support hand drawing, which helps resolve the inevitable ambiguities arising from this impreciseness.
9
A Multi-Agent System for Hand-drawn Diagram Recognition
G. Casella,Vincenzo Deufemia,Viviana Mascardi +2 more
- 23 Sep 2007
TL;DR: AgentSketch is an agent- based system for on-line recognition of hand-drawn diagrams and for providing efficient interpretations of the sketch to the user thanks to the use of contextual information for ambiguity resolution.
3
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Bayesian Reinforcement Learning in Factored POMDPs
Sammie Katt,Frans A. Oliehoek,Christopher Amato +2 more
- 08 May 2019
TL;DR: This paper provides an overview of research and development activities in the field of autonomous agents and multi-agent systems and aims to identify key concepts and applications, and to indicate how they relate to one-another.
LADDER, a sketching language for user interface developers
Tracy Hammond,Randall Davis +1 more
TL;DR: In this paper, a language to describe how sketched diagrams in a domain are drawn, displayed, and edited is presented, which is then automatically transformed into domain specific shape recognizers, editing recognizers and shape exhibitors for use in conjunction with a domain independent sketch recognition system.
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Tahuti: a geometrical sketch recognition system for UML class diagrams
Tracy Hammond,Randall Davis +1 more
- 30 Jul 2006
TL;DR: Tahuti is a dual-view sketch recognition environment for class diagrams in UML based on a multi-layer recognition framework which recognizes multi-stroke objects by their geometrical properties allowing users the freedom to draw naturally as they would on paper rather than requiring the user to draw the objects in a pre-defined manner.