نتایج جستجو برای: visual grammar

تعداد نتایج: 395705  

Journal: :Pattern Recognition 2016
Mohsen Sardari Zarchi Robby T. Tan Coert Van Gemeren Amir Hassan Monadjemi Remco C. Veltkamp

This paper focuses on recognizing image concepts by introducing the ISTOP model. The model parses the images from scene to object's parts by using a context sensitive grammar. Since there is a gap between the scene and object levels, this grammar proposes the “Visual Term” level to bridge the gap. Visual term is a higher concept level than the object level representing a few co-occurring object...

2003
Selim Aksoy Carsten Tusk Krzysztof Koperski Giovanni Marchisio

Automatic content extraction, classification and content-based retrieval are highly desired goals in intelligent remote sensing databases. Pixel level processing has been the common choice for both academic and commercial systems. We extend the modeling of remotely sensed imagery to three levels: Pixel level, region level and scene level. Pixel level features are generated using unsupervised cl...

2001
Kang Zhang Da-Qian Zhang Yi Deng

This paper presents a visual approach to the representation and validation of multimedia document structures specified in XML and transformation of one structure to another. The underlying theory of our approach is a context-sensitive graph grammar formalism. The paper demonstrates the conciseness and expressiveness of the graph grammar formalism. An example XML structure is provided and its gr...

Journal: :IEEE Transactions on Geoscience and Remote Sensing 2005

2008
Virginia Savova Joshua B. Tenenbaum

In this paper, we investigate one-shot learning in the context of artificial categories with abstract structural characteristics. We propose a grammar-based approach to structure representation, which allows us to treat visual category learning as an instance of grammar induction. We provide a model of one-shot learning as Bayesian inference over hypotheses, where grammars are hypotheses and le...

2011
Elias Ruiz Augusto Meléndez Luis Enrique Sucar

A novel approach to create a general vision system is presented. The proposed method is based on a visual grammar representation which is transformed to a Bayesian network which is used for object recognition. We use a symbol-relational grammar for a hierarchical description of objects, incorporating spatial relations. The structure of a Bayesian network is obtained automatically form the gramm...

Journal: :Jurnal DinamikA 2021

This research presented the Stylistics analysis of National Geographic magazine’s cover June edition. The magazine was chosen because it is one magazine's newest issues by time researcher conducting this research. Stylistic approach employed to understand and reveal editor's purposes in using specific language visual features. Considering analyzes feature; therefore, theory grammar employed. To...

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