%0 Journal Article
%T Bag of Spatial Visual Words Model for Scene Classification<br>用于图像场景分类的空间视觉词袋模型
%A WANG Yu-xin
%A GUO He
%A HE Chang-qin
%A FENG Zhen
%A JIA Qi
%A <br>王宇新
%A 郭禾
%A 何昌钦
%A 冯振
%A 贾棋
%J 计算机科学
%D 2011
%I 
%X An approach to recognize scene categories by means of a novel model named bag of spatial visual words was proposed. Images were hierarchically divided into sub regions and the spatial visual vocabulary was constructed by grouping the low-level features collected from every corresponding spatial sub region into a specified number of clusters using k-means algorithm. To recognize the category of a scene, the visual vocabulary distributions of all spatial sub regions were concatenated to form a global feature vector.The classification result was obtained using LIBSVM and two kinds of features were used in the experiments:"V1-like" filters and PACK features.
%K Scene classification
%K Bag of words
%K Spatial clustering
%K Spatial visual vocabulary
%K SVM<br>场景分类，词袋，空间聚类，空间视觉词典，支持向量机
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=2AC66EB828B1E435BC099BE9BED937B8&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=5D311CA918CA9A03&sid=FDC7AF55F77D8CD4&eid=DC330B09A33F1455&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0