21 November 1995 Scenic classification methods for image and video databases
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Proceedings Volume 2606, Digital Image Storage and Archiving Systems; (1995); doi: 10.1117/12.227258
Event: Photonics East '95, 1995, Philadelphia, PA, United States
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hong Heather Yu, Wayne H. Wolf, "Scenic classification methods for image and video databases", Proc. SPIE 2606, Digital Image Storage and Archiving Systems, (21 November 1995); doi: 10.1117/12.227258; https://doi.org/10.1117/12.227258
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KEYWORDS
Image segmentation

Image classification

Video

Library classification systems

Neodymium

Databases

Classification systems

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