DocumentCode :
2893037
Title :
Implementation of Image Descriptor Based on SURF and DCD
Author :
Yong-Hwan Lee ; Yukong Lee ; Hyochang Ahn ; Je-Ho Park ; Youngseop Kim
Author_Institution :
Dept. of Appl. Comput. Eng., Dankook Univ. Yongin-si, Yongin, South Korea
fYear :
2013
fDate :
24-26 June 2013
Firstpage :
1
Lastpage :
2
Abstract :
Image retrieval is one of the most exciting and fastest growing research areas in the field of multimedia technology. In this paper, we present and implement an image descriptor that extracts the feature of image using combination of SURF (Speed Up Robust Feature) and DCD (Dominant Color Descriptor) scheme. To evaluate the performance of implemented algorithm, we assess the performance of simulation in terms of average precision on two image database commonly used. The result shows that the proposed approach obtain an enough results which are applicable to mobile environments.
Keywords :
feature extraction; image colour analysis; image retrieval; DCD; SURF; average precision; dominant color descriptor scheme; feature extraction; image database; image descriptor; image retrieval; mobile environment; multimedia technology; speed up robust feature; Feature extraction; Image color analysis; Image retrieval; Transform coding; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Applications (ICISA), 2013 International Conference on
Conference_Location :
Suwon
Print_ISBN :
978-1-4799-0602-4
Type :
conf
DOI :
10.1109/ICISA.2013.6579395
Filename :
6579395
Link To Document :
بازگشت