%0 Journal Article
%T Image summarizing based on multi-kernel learning and AP clustering<br>基于多核学习和AP聚类的图像摘要选取方法*
%A FAN Shao-chong
%A PENG Jin-ye
%A FENG Xiao-yi
%A YAN Kun
%A <br>范少冲
%A 彭进业
%A 冯晓毅
%A 阎坤
%J 计算机应用研究
%D 2011
%I 
%X Image summarizing is a critical step in the interactive image retrieval. The traditional methods taking in the feature space may encounter with the feature fusion and bad clustering results. This paper developed a novel approach based on multi-kernel learning and AP(Affinity Propagation) clustering: firstly, getting the image similarity using multi-kernel function to fuse the diverse visual features; secondly, clustering the images into the compact classes with AP method; lastly, selecting the exemplars as the summarization for the whole image collection. The experiments show that the image summarization selected by the method above can give a good global overview of image collections and performance of retrieval.
%K image summarizing
%K similarity
%K feature fusion
%K multi-kernel learning
%K AP clustering<br>图像摘要
%K 相似度
%K 特征融合
%K 多核学习
%K AP聚类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=4CE9B2C93BC04D160AB9ABB06A7E70EF&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=B31275AF3241DB2D&sid=C61A07EE083A0198&eid=054C27D6C3EE1321&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=20