XJTU at TRECVID2008 High-Level Feature Extraction

In this paper, we present our experiments in TRECVID 2008 about High-Level feature extraction task. This is the first year for our participation in TRECVID, our system adopts some popular approaches that other workgroups proposed before. We proposed 2 advanced low-level features NEW Gabor texture descriptor and the Compact-SIFT Codeword histogram. Our system applied well-known LIBSVM to train the SVM classifier for the basic classifier. In fusion step, some methods were employed such as the Voting, SVM-base, HCRF and Bootstrap Average AdaBoost(BAAB).

• Type: Conference
• Year: 2008
• Where: TRECVID
• Authors: Zhe Wang, Guizhong Liu, Xueming Qian, Zhi Li, Danping Guo, Nan Nan, Huaixia Jiang
• Keywords: Compact-SIFT Codeword Histogram, Gabor Texture Descriptor, Internet Technology, SVM Classifier, TRECVID 2008