计算机工程2016，Vol.42Issue(12)：164-170,7.DOI:10.3969/j.issn.1000-3428.2016.12.029
基于二进制哈希与空间金字塔的视觉词袋模型生成方法
Generating Method of Visual Word Bag Model Based on Binary Hashing and Space Pyramid
摘要
Abstract
Constructing visual vocabulary in the Bag of Visual Word(BoVW)model is a critical step,most visual vocabulary is generated by the k-means algorithm or its improved algorithm.Because of the limitation of the k-means algorithm and the complexity and the high-dimensionality of the sample space,visual vocabulary generated by these methods have the problem of low discriminative long running time and without space information.For these problems,a BoVW model is proposed based on binary Hashing and space pyramid,which can shorten the visual vocabulary generation time sharply.It extracts the local feature points from the images,learns binary Hashing functions,which map the local feature points into visual words,filters the visual words and generates the visual vocabulary whose visual word is binary hash code.The new BoVW model is composed with the visual vocabulary and Spatial Pyramid Matching(SPM)model,which represents the images by the histogram vector of space pyramid and is applied in image classification and retrieval.Experimental results on the common datasets show that the model has higher classification accuracy and retrieval performance.关键词
二进制哈希/空间金字塔匹配模型/视觉词袋模型/图像分类/图像检索Key words
binary Hashing/Spatial Pyramid Matching(SPM)model/Bag of Visual Word(BoVW)model/image classification/image retrieval分类
信息技术与安全科学引用本文复制引用
彭天强,栗芳..基于二进制哈希与空间金字塔的视觉词袋模型生成方法[J].计算机工程,2016,42(12):164-170,7.基金项目
国家自然科学基金青年科学基金"基于位置敏感哈希的图像语义检索技术研究"(61301232) （61301232）
河南工程学院博士基金. （）
