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Proceedings Paper

Scenic classification methods for image and video databases
Author(s): Hong Heather Yu; Wayne H. Wolf
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Paper Abstract

The problem of scenic image classification is presented in the paper. On considering the specific nature of this problem, we propose a statistically data-based method, the Hidden Markov Model, to solve this problem. We segment an image and use the sequence of segments as the definition of the image; we then train a HMM on a test set of sequences/images to establish a classification. We present preliminary results on the use of a 1D HMM for classification of images as either indoor or outdoor.

Paper Details

Date Published: 21 November 1995
PDF: 9 pages
Proc. SPIE 2606, Digital Image Storage and Archiving Systems, (21 November 1995); doi: 10.1117/12.227258
Show Author Affiliations
Hong Heather Yu, Princeton Univ. (United States)
Wayne H. Wolf, Princeton Univ. (United States)

Published in SPIE Proceedings Vol. 2606:
Digital Image Storage and Archiving Systems
C.-C. Jay Kuo, Editor(s)

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