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
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;
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
DOI :
10.1109/IWISA.2010.5473328
