Categories of environmental scenes

By Barbara Tversky, K. Hemenway. 1983

Subfields: Computer Vision and Pattern Recognition

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In Computer Vision and Pattern Recognition

Citations in the corpus

SUN database: Large-scale scene recognition from abbey to zoo (2010, background): “Most of the terms referred to basic and entry level places [30, 24, 25, 14] with different semantic descriptions.”
The natural/man-made distinction is made before basic-level distinctions in scene gist processing (2010, methodology): “'s ( 1976 ) methods and logic, Tversky and Hemenway ( 1983 ) found clear evidence of a basic-level of scene categorization.”
Recognition of natural scenes from global properties: Seeing the forest without representing the trees (2008, unknown): “However, scenes, unlike objects can often be members of more than one basic-level category (Tversky & Hemenway, 1983).”
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope (2001, background): “Environments are commonly named using precise semantic terms, like beach, street or forest (see Tversky and Hemenway, 1983).”
Situated simulation in the human conceptual system (2003, background): “Surprisingly little work has addressed such knowledge, with most related work addressing either route finding in cognitive maps or generic concepts for settings (e.g., Tversky & Hemenway, 1983).”
A Semantic Typicality Measure for Natural Scene Categorization (2004, methodology): “In search of a taxonomy of environmental scenes, Tversky and Hemenway [11] found indoors and outdoors to be superordinate-level categories, with the outdoors category being composed of the basic-level categories city, park, beach and mountains.”
When is scene identification just texture recognition? (2004, background): “Fortunately, we have names for scenes, such as ''beach'', ''street'' and ''forest'' (Tversky & Hemenway, 1983).”
Conceptual framework for indexing visual information at multiple levels (1999, background): “, levels of categorization) [11][12][13][14][17], etc.”
A visual analytics approach to understanding cycling behaviour (2012, unknown): “In this chapter I will adopt Wirth et al.’s (2007) presence, which provides a framework for understanding how immersive media can inspire users to believe they are personally and physically present in the represented environment.”
The Concept of Situations (2009, background): “…domains (e.g., situations of anxiousness, Endler, Hunt, & Rosenstein, 1962; situations of conflict, Pinkley, 1990), or on the physical attributes of the environment (e.g., molar physical environments, Ward & Russell, 1981; environmental scenes, Tversky & Hemenway, 1983) are not discussed.”
Cognition of Geographic Information (2005, background): “At a more human scale, Tversky and Hemenway (1983) investigated the conceptual structure of environmental scenes.”