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» Color and Texture Feature For Content Based Image Retrieval
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SSIAI
2000
IEEE
14 years 2 months ago
Lower-Level and Higher-Level Approaches to Content-Based Image Retrieval
This paper describes a content-based image retrieval system that employs both higher-level and lower-level vision methodologies separately and in conjunction for the retrieval of ...
Qasim Iqbal, Jake K. Aggarwal
ADL
1997
Springer
171views Digital Library» more  ADL 1997»
14 years 2 months ago
Wavelet-Based Image Indexing Techniques with Partial Sketch Retrieval Capability
This paper describes WBIIS Wavelet-Based Image Indexing and Searching, a new image indexing and retrieval algorithm with partial sketch image searching capability for large imag...
James Ze Wang, Gio Wiederhold, Oscar Firschein, Sh...
ICIP
2003
IEEE
15 years 23 min ago
Image segmentation by spatially adaptive color and texture features
We present an image segmentation algorithm that is based on spatially adaptive color and texture features. The proposed algorithm is based on a previously proposed algorithm but i...
Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra M...
ICMCS
2005
IEEE
148views Multimedia» more  ICMCS 2005»
14 years 4 months ago
Compressed Domain Image Indexing and Retrieval Based on the Minimal Spanning Tree
In this paper, a method for content-based retrieval of JPEG images is presented, utilizing features directly from the discrete cosine transform (DCT) domain. Image indexing is ach...
Christos Theoharatos, Vassilios K. Pothos, George ...
ICIP
2007
IEEE
15 years 2 days ago
Dominant Color Structure Descriptor for Image Retrieval
-- A new Dominant Color Structure Descriptor (DCSD) is proposed in this paper. It is designed to provide an efficient way to represent both color and spatial structure information ...
Ka-Man Wong, Lai-Man Po, Kwok-Wai Cheung