DocumentCode
1860219
Title
A New Book Retrieval Framework Based on Local and Global Image Descriptors
Author
Xuchao Gong ; Zongmin Li ; Jinfeng Chen ; Hongjiao Zhao
Author_Institution
China Univ. of Pet., Qingdao, China
fYear
2013
fDate
26-28 July 2013
Firstpage
623
Lastpage
627
Abstract
In this paper, we have developed a novel algorithm for book image retrieval that can find test book images accurately and efficiently. In our proposed algorithm, SIFT Vocabulary tree is first used to model the local information and to get the preliminary results. The final result is determined via multi-features joint decision. The multi-features are SIFT density, SIFT distribution histogram, edge histogram and Color Histogram. Experiments on a 30000 dataset have demonstrated the efficiency of our proposed method.
Keywords
image colour analysis; image retrieval; SIFT density; SIFT distribution histogram; SIFT vocabulary tree; book image retrieval; color histogram; edge histogram; global image descriptors; local image descriptors; multi-features joint decision; Feature extraction; Histograms; Image color analysis; Image edge detection; Image retrieval; Joints; Vocabulary; SIFT; SIFT Density; SIFT Distribution Histogram; color Histogram; edge Histogram; hierarchic retrieval;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Graphics (ICIG), 2013 Seventh International Conference on
Conference_Location
Qingdao
Type
conf
DOI
10.1109/ICIG.2013.129
Filename
6643746
Link To Document