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» Textural Features and Relevance Feedback for Image Retrieval
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ICIP
2002
IEEE
16 years 1 months ago
Content-based image retrieval using stochastic paintbrush transformation
Herein, we propose a new content based image retrieval method. The novelty of our approach lies in the applied image similarity measure : Unlike traditional features like color, t...
Zoltan Kato, Xiaowen Ji, Tamas Sziranyi, Zoltan To...
ICASSP
2009
IEEE
15 years 6 months ago
Color image feature extraction using color index local auto-correlations
In this paper, we propose a method for extracting color image features, called color index local auto-correlations. Pixel color is quantized and described sparsely in a manner sim...
Takumi Kobayashi, Nobuyuki Otsu
ICPR
2004
IEEE
16 years 27 days ago
An FPGA-Based Architecture for Real Time Image Feature Extraction
We propose a novel FPGA-based architecture for the extraction of four texture features using Gray Level Cooccurrence Matrix (GLCM) analysis. These features are angular second mome...
Dimitrios E. Maroulis, Dimitrios K. Iakovidis, Dim...
ADL
1997
Springer
171views Digital Library» more  ADL 1997»
15 years 4 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...
SSIAI
2000
IEEE
15 years 4 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