Refereed full papers (journals, book chapters, international conferences)

1996

@inproceedings{MaM1996,
	vgclass =	{refpap},
	vgproject =	{cbir},
	author =	{W.Y. Ma and B.S. Manjunath},
	title =	{Texture Features and Learning Similarity},
	booktitle =	{Proceedings of the 1996 IEEE Conference on Computer Vision and Pattern Recognition (CVPR'96)},
	address =	{San Francisco, California},
	pages =	{425--430},
	month =	{June},
	year =	{1996},
	abstract =	{This paper addresses two important issues related to
	texture pattern retrieval: feature extraction and similarity search. A
	Gabor feature representation for textured images is proposed, and its
	performance in pattern retrieval is evaluated on a large texture image
	database. These features compare favorably with other existing texture
	representations. A simple hybrid neural network algorithm is used to
	learn the similarity by simple clustering in the texture feature space.
	With learning similarity, the performance of similar pattern retrieval
	improves significantly.

	An important aspect of this work is its application to real image data.
	Texture feature extraction with similarity learning is used to search
	through large aerial photographs. Feature clustering enables efficient
	search of the database as our experimental results indicate.},
}