THE GENERIC OBJECT CATEGORIZATION USING THE LATENT DIRICHLET ALLOCATION MODEL AND BAG OF BIOLOGICALLY INSPIRED MODEL FEATURES

摘要：

　　The generic image categorization was a challenging problem because of the wide variety of objects in image.In this paper,we proposed a method using the hybrid generative/discriminative approach combining the Biologically Inspired Model (BIM) to implement the generic object categorization.The main contributions were below:1) We proposed an feature extraction method,which adjust BIM,and formed bag of BIM(BOBIM) feature.2) We used LDA model to extract the semantic topics,and used SVM to make final decision.The LDA/SVM model was a hybrid generative/discriminative approach.The experimental results reveal the efficiency of our method.

关键词： Generic Object Categorization Latent Dirichlet allocation Bag of Word feature Biologically Inspired Model

作者: LI-HUA GUO LIAN-WEN JIN

作者单位: School of Electronic and Information Engineering, South China University of Technology, Guangzhou, 510641, China

会议类型: 国际会议

会议名称: 2011 International Conference on Wavelet Analysis and Pattern Recognition(2011小波分析与模式识别国际会议)

会议地点: 桂林

会议语种:英文

页码: 276-281

在线出版日期: 2011-07-10（万方平台首次上网日期，不代表论文的发表时间）