DocumentCode :
3741436
Title :
Image Retrieval by Effective Description of Macro- and Micro-Content of Images
Author :
Chang-Ming Kuo;Mao-Hsiung Hung;Nai-Chung Yang;Chung-Ming Kuo;Chaur-Heh Hsieh
Author_Institution :
Dept. of Inf. Eng., I-Shou Univ., Kaohsiung, Taiwan
fYear :
2015
Firstpage :
59
Lastpage :
62
Abstract :
The visual words are a collection of local features of images, and generally used to represent image content. Considering the homogeneity of visual words, we design a visual vocabulary which contains macro-based and micro-based corresponding to feature points and key blocks visual words, respectively. We also apply the proposed visual vocabulary and description scheme to construct an image retrieving system. The performance evaluation of the method indicates that the proposed visual vocabulary achieves promising results.
Keywords :
"Visualization","Vocabulary","Feature extraction","Image color analysis","Training","Image retrieval","Histograms"
Publisher :
ieee
Conference_Titel :
Robot, Vision and Signal Processing (RVSP), 2015 Third International Conference on
Electronic_ISBN :
2376-9807
Type :
conf
DOI :
10.1109/RVSP.2015.23
Filename :
7399147
Link To Document :
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