Image categorization based on clustering spatial frequency maps
- Author(s):
- Long, F. ( Duke Univ. (USA) )
- Peng, H. ( Oak Ridge National Lab. (USA) )
- Feng, D.D. ( Hong Kong Polytechnic Univ. (China) and Univ. of Sydney (Australia) )
- Publication title:
- Storage and Retrieval Methods and Applications for Multimedia 2004
- Title of ser.:
- Proceedings of SPIE - the International Society for Optical Engineering
- Ser. no.:
- 5307
- Pub. Year:
- 2004
- Page(from):
- 212
- Page(to):
- 222
- Pages:
- 11
- Pub. info.:
- Bellingham, Wash.: SPIE - The International Society of Optical Engineering
- ISSN:
- 0277786X
- ISBN:
- 9780819452108 [0819452106]
- Language:
- English
- Call no.:
- P63600/5307
- Type:
- Conference Proceedings
Similar Items:
SPIE-The International Society for Optical Engineering |
SPIE - The International Society of Optical Engineering |
SPIE - The International Society of Optical Engineering |
SPIE-The International Society for Optical Engineering |
3
Conference Proceedings
Automatic content extraction of filled-form images based on clustering component block projection vectors
SPIE - The International Society of Optical Engineering |
SPIE - The International Society of Optical Engineering |
4
Conference Proceedings
Medical images and multimedia data management and processing (Plenary Paper)
SPIE-The International Society for Optical Engineering |
10
Conference Proceedings
The utilization of human color categorization for content-based image retrieval
SPIE - The International Society of Optical Engineering |
5
Conference Proceedings
Active visual computing model based on data- and knowledge-driven selective attention mechanism
SPIE - The International Society for Optical Engineering |
11
Conference Proceedings
Method of focusing laser beam based on analysis of spatial frequencies of surface image
Society of Photo-optical Instrumentation Engineers |
6
Conference Proceedings
Unsupervised learning of arbitrarily shaped clusters with application to image database categorization
SPIE-The International Society for Optical Engineering |
12
Conference Proceedings
Visualization and exploration of spatial probability density functions: a clustering-based approach
SPIE - The International Society of Optical Engineering |