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CVPR
2009
IEEE

Recognizing Indoor Scenes

10 years 6 months ago
Recognizing Indoor Scenes
We propose a scheme for indoor place identi cation based on the recognition of global scene views. Scene views are encoded using a holistic representation that provides low-resolution spatial and spectral information. The holistic nature of the representation dispenses with the need to rely on speci c objects or local landmarks and also renders it robust against variations in object con gurations. We demonstrate the scheme on the problem of recognizing scenes in video sequences captured while walking through an oÆce environment. We develop a method for distinguishing between 'diagnostic' and 'generic' views and also evaluate changes in system performances as a function of the amount of training data available and the complexity of the representation. T
Antonio B. Torralba, Ariadna Quattoni
Added 09 May 2009
Updated 10 Dec 2009
Type Conference
Year 2009
Where CVPR
Authors Antonio B. Torralba, Ariadna Quattoni
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