Fast wavelet histogram techniques for image indexing

被引：3
|
作者：
Mandal, MK [1 ]
Aboulnasr, T [1 ]
Panchanathan, S [1 ]
机构：
[1] Univ Ottawa, Sch Informat Technol & Engn, Ottawa, ON K1N 6N5, Canada
来源：
IEEE WORKSHOP ON CONTENT-BASED ACCESS OF IMAGE AND VIDEO LIBRARIES - PROCEEDINGS | 1998年
关键词：
D O I：
10.1109/IVL.1998.694498
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Image histograms have become very popular in image and video indexing applications because of their low complexity. However, histogram-based techniques are not efficient in retrieving texture images. Recently, a histogram technique that exploits the directional properties of wavelet transform has been proposed in the literature. Although, this technique provides a good retrieval performance for texture images, its complexity is very high. In this paper, we propose fast wavelet histogram techniques that provide a superior performance at a substantially reduced complexity.
引用
收藏
页码：68 / 72
页数：5
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