Title :
Camera motion classification based on SVM
Author :
Liu, Lina ; Zhang, Ru ; Fan, Ling
Author_Institution :
Dept. of Ethnic Educ., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Camera motion classification is an important research topic in video content analysis and retrieval. In this paper, we propose a nonparametric classification method of camera motion, which employs support vector machine to learn motion vector file and then train classifiers to categorize camera motion. Libsvm is used as support vector machine tool to validate the method and experiments demonstrate the proposed method that can get satisfactory results.
Keywords :
content-based retrieval; image classification; image motion analysis; image sensors; support vector machines; video retrieval; video signal processing; SVM; camera motion classification; nonparametric classification method; support vector machine tool; video content analysis; video content retrieval; Cameras; Kernel; Mathematical model; Pattern recognition; Support vector machine classification; camera motion; classification; support vector machine;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5648012