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基于多核属性学习的视频多概念检测研究

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摘要 视频概念检测领域一直存在语义鸿沟难以跨越的问题。针对该问题,提出了基于多核属性学习方法,将属性概念引入视频概念分类中,利用属性的高级语义表达能力,降低语义鸿沟影响,同时结合多核学习,提高多特征下属性分类器性能。在公有数据集上进行对比实验表明,该方法可以有效提高视频概念检测正确率。
作者 惠开发 皋军
出处 《软件导刊》 2017年第6期1-5,共5页 Software Guide
基金 国家自然科学基金项目(671375001)
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