DocumentCode
2479230
Title
Video Image Retrieval Based on Improved SIFT Features
Author
Gao, Hui ; Du, Yuncheng ; Li, Yuqin ; Shi, Shuicai
Author_Institution
Chinese Inf. Process. Res. Center, Beijing Inf. Sci. & Technol. Univ., Beijing, China
fYear
2010
fDate
22-23 May 2010
Firstpage
1
Lastpage
4
Abstract
This paper presents an algorithm based on SIFT features. It calculates key points in the image and extracts the feature of the image by calculating the key points´ orientation and modulus of the gradient. The similarity between two images is computed using Euclidean distance. The experiment shows that the feature is invariant to image scaling translation, rotation, and partly invariant to illumination changes and has a certain affine invariance. It is better than the color feature in the video image retrieval.
Keywords
feature extraction; image colour analysis; video retrieval; Euclidean distance; color feature; feature extraction; image scaling translation; improved SIFT features; video image retrieval; Data mining; Feature extraction; Image retrieval; Information processing; Information retrieval; Information science; Information technology; Lighting; Paper technology; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5872-1
Electronic_ISBN
978-1-4244-5874-5
Type
conf
DOI
10.1109/IWISA.2010.5473328
Filename
5473328
Link To Document