Exploiting PLSA model and conditional random field for refining image annotation

• 作 者: 田东平
• 机 构: InstituteofComputerSoftware,InstituteofComputationalInformationScience
• 出 处: 高技术通讯：英文版
• 发表日期: 2015年1期
• 关键词: 随机场模型 图像 炼油 慢性肾功能衰竭 标注 语义分析 COREL 语义关系 automatic image annotation probabilistie
• 基金项目: Supported by the National Basic Research Priorities Programme （No. 2013CB329502）, the National High Technology Research and Develop- ment Programme of China （No. 2012AA011003 ） , the Natural Science B

This paper presents a new method for refining image annotation by integrating probabilistic latent semantic analysis(PLSA) with conditional random field(CRF).First a PLSA model with asymmetric modalities is constructed to predict a candidate set of annota