Combining Low-Level Features for Semantic Extraction in Image Retrieval-Reference-Cited by-同舟云学术

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Combining Low-Level Features for Semantic Extraction in Image Retrieval

Published:2007-12 Issue:1 Volume:2007 Page:
ISSN:1687-6180
Container-title:EURASIP Journal on Advances in Signal Processing
language:en
Short-container-title:EURASIP J. Adv. Signal Process.

Author:

Zhang Q.,Izquierdo E.

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/content/pdf/10.1155/2007/61423.pdf

Reference20 articles.

1. Bishop C, Bishop CM: Neural Networks for Pattern Recognition. Oxford University Press, Oxford, Miss, USA; 1995.

2. Chapelle O, Haffner P, Vapnik VN: Support vector machines for histogram-based image classification. IEEE Transactions on Neural Networks 1999,10(5):1055-1064. 10.1109/72.788646

3. Friedman N, Geiger D, Goldszmidt M: Bayesian network classifiers. Machine Learning 1997,29(2):131-163. 10.1023/A:1007465528199

4. Smeulders AWM, Worring M, Santini S, Gupta A, Jain R: Content-based image retrieval at the end of the early years. IEEE Transactions on Pattern Analysis and Machine Intelligence 2000,22(12):1349-1380. 10.1109/34.895972

5. Rui Y, Huang TS, Chang S-F: Image retrieval: current techniques, promising directions, and open issues. Journal of Visual Communication and Image Representation 1999,10(1):39-62. 10.1006/jvci.1999.0413

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