个性化图像推荐及可视化研究

Research on Personalized Image Recommendation and Visualization

传统图像检索系统中的图像标注与视觉特征存在语义鸿沟现象、未考虑图像标注的潜在语义联系,且检索界面显示效果不佳、个性化程度不高。针对上述问题,提出一种融合图像标注语义与图像视觉特征的个性化图像推荐模型。分析图像标注语义之间的关系,采用双曲空间和庞加莱磁盘模型进行图像可视化。实验结果证明,该模型具有可行性和有效性。

Traditional image retrieval system has the semantic gap between image＇s labeling and visual characteristic. These systems do not consider the image lbeling＇s latent semantic relations, and consider the personalization little. In view of these questions, this paper proposes a new personalization image recommendation method. It uses the image＇s labeling semantics and vision characteristic to analyze the image, and uses the hyperbolic model to display the image. Through the multianalysis of the semantics relation in image and the original data of image, a prototype system is implemented, and this model is proved feasibility and validity.