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Bag of Words算法框架的研究
引用本文:刘红光,魏小敏. Bag of Words算法框架的研究[J]. 舰船电子工程, 2011, 31(9): 125-128
作者姓名:刘红光  魏小敏
作者单位:1. 92995部队,青岛,266100
2. 武汉大学印刷包装系,武汉,430079
摘    要:Bag of Words算法是一种有效的基于语义特征提取与表达的物体识别算法,算法充分学习文本检索算法的优点,将图片整理为一系列视觉词汇的集合,提取物体的语义特征,实现感兴趣物体的有效检测与识别。文章主要研究了Bag of Words算法的框架和基本内容。

关 键 词:Bag  of  Words算法  语义特征  视觉单词  视觉词汇表

Research on Frame of Bag of Words Algorithm
Liu Hongguang) Wei Xiaomin),Qingdao ),Wuhan ). Research on Frame of Bag of Words Algorithm[J]. Ship Electronic Engineering, 2011, 31(9): 125-128
Authors:Liu Hongguang) Wei Xiaomin)  Qingdao )  Wuhan )
Affiliation:Liu Hongguang1) Wei Xiaomin2)(No.92995 Troops of PLA1),Qingdao 266100)(School of Printing and Packaging,Wuhan University2),Wuhan 430079)
Abstract:Bag of Word algorithm is an efficient object recognition algorithm based on semantic features extraction and expression.It learns the virtues of the text-based search algorithm to make images a rang of visual words,extract the semantic characters and carry out the detection and recognition of interesting objects.This paper mainly discusses the frame and basic content of Bag of Words algorithm.
Keywords:Bag of Words algorithm  semantic features  visual words  visual vocabulary  
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