计算机工程2012，Vol.38Issue(21)：272-275,4.DOI:10.3969/j.issn.1000-3428.2012.21.072
基于AdaBoost的多特征融合指纹检索方法
Fingerprint Retrieval Method of Multi-feature Fusion Based on AdaBoost
摘要
Abstract
This paper proposes a fingerprint retrieval method of multi-feature fusion based on AdaBoost to improve the robust of video fingerprint. The proposed method can gain the weight of Scale Invariant Feature Transform(SIFT), temporal and audio feature adaptively by training the sample data, then fuse audio-video feature to produce video fingerprint according to the weights of the three features. Experimental results show that this method can gain higher accuracy, and have good robustness under various geometric, brightness modification and audio noise.关键词
AdaBoost算法/视频指纹/运动特征/音频特征/动态贝叶斯网络Key words
AdaBoost algorithm/ video fingerprint/ motion feature/ audio feature/ Dynamic Bayesian Network(DBN)分类
信息技术与安全科学引用本文复制引用
王富丽,欧阳建权..基于AdaBoost的多特征融合指纹检索方法[J].计算机工程,2012,38(21):272-275,4.基金项目
国家科技支撑计划基金资助项目"面向全网运营的数字卡通工程化技术研究与应用"(2007BAH14B05) （2007BAH14B05）
