Title :
Classification based on SVM of cultural relic videos´ key frame
Author :
Yaqi, Hu ; Zhai Guangyu
Author_Institution :
Sch. of Electron. & Inf. Eng., Lanzhou Jiaotong Univ., Lanzhou, China
Abstract :
For the question of how to classification of cultural relic videos, this paper put forward the analysis method based on semantic and it´s two-steps in classification of video: Firstly, based on algorithm that has been used, separating the cultural relic shots and extracting the key frames; Then extracting the features of the key frames. Next training classification of the key frames´ features using SVM. The system composed by the two steps´ algorithms implementing classification of cultural relic video. Experiments show this method can better classify based on the characteristics of cultural relic videos then other methods.
Keywords :
feature extraction; history; pattern classification; support vector machines; video signal processing; SVM; cultural relic video classification; feature extraction; key frame extraction; Classification algorithms; Cultural differences; Feature extraction; Pixel; Semantics; Support vector machines; Videos; SVM; classification of video; cultural relic; key frame; semantic;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583915