Review of CBIR Related with Low Level and High Level Features

Publisher： IGI Global_journal

E-ISSN： 1947-9107|7|1|27-40

ISSN： 1947-9093

Source： International Journal of Synthetic Emotions (IJSE), Vol.7, Iss.1, 2016-01, pp. : 27-40

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Spatial interest pixels (SIPs): useful low-level features of visual media data

By Li Qi   Ye Jieping   Kambhamettu Chandra  

Multimedia Tools and Applications, Vol. 30, Iss. 1, 2006-07 ,pp. : 89-108

Springer Publishing Company

Access to resources Recommend Favorite

Recovering Relative Depth from Low-Level Features Without Explicit T-junction Detection and Interpretation

By Calderero Felipe   Caselles Vicent  

International Journal of Computer Vision, Vol. 104, Iss. 1, 2013-08 ,pp. : 38-68

Springer Publishing Company

Access to resources Recommend Favorite

Robust filters for low-level vision

By Marroquin J.L.   Servin M.   Rodriguez-Vera R.  

Expert Systems with Applications, Vol. 14, Iss. 1, 1998-01 ,pp. : 169-177

Elsevier

Access to resources Recommend Favorite

Gray-Level Reduction Using Local Spatial Features

By Papamarkos N.   Atsalakis A.  

Computer Vision and Image Understanding, Vol. 78, Iss. 3, 2000-06 ,pp. : 336-350

Academic Press

Access to resources Recommend Favorite

Efficient high-level parallel programming

By Botorog G.H.   Kuchen H.  

Theoretical Computer Science, Vol. 196, Iss. 1, 1998-04 ,pp. : 71-107

Elsevier

Access to resources Recommend Favorite