An Efficient Neural Network Based Indoor-Outdoor Scene Classification Algorithm

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초록

This paper presents an efficient indoor-outdoor scene classification algorithm based on neural network learning. To facilitate the hardware implementation, efficient image (composite) feature extraction based on image color, entropy, DCT coefficients, and edge orientation was developed. The trained scene classifiers demonstrate robust performance.

제목
An Efficient Neural Network Based Indoor-Outdoor Scene Classification Algorithm
저자
Tao, Li; Kim, Yeong-Hwa; Kim, Yeong-Taeg
DOI
10.1109/ICCE.2010.5418764
발행일
2010-01
유형
Proceedings Paper
저널명
2010 DIGEST OF TECHNICAL PAPERS INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS ICCE
페이지
317 ~ 318