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Image Annotation and Topic Extraction Using Super-Word Latent Dirichlet Allocation.

机译：基于super-Word Latent Dirichlet分配的图像标注与主题提取。

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摘要

This research presents a multi-domain solution that uses text and images to iteratively improve automated information extraction. Stage I uses local text surrounding an embedded image to provide clues that help rank-order possible image annotations. These annotations are forwarded to Stage II, where the image annotations from Stage I are used as highly-relevant 'super-words' to improve extraction of topics. The model probabilities from the super-words in Stage II are forwarded to Stage III where they are used to refine the automated image annotation developed in Stage I. All stages demonstrate improvement over existing equivalent algorithms in the literature.

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作者
Noel, I. G.;
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年度 2013
页码 1-181
总页数 181
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Information retrieval; Algorithms; Automation; Documents; Embedding; Images; Models; Probability; Theses;

机译：信息检索;算法;自动化;文档;嵌入;图像;模型;概率;论文;

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专利

1. Semi-supervised Document Clustering Based on Latent Dirichlet Allocation (LDA) [J] . QIN Yong-bin, LI Jie, HUANG Rui-zhang, 东华大学学报（英文版） . 2016,第005期
2. Semantic Annotation of Satellite Images Using Latent Dirichlet Allocation [J] . Lienou M., Maitre H., Datcu M. Geoscience and Remote Sensing Letters, IEEE . 2010,第1期

机译：利用潜在狄利克雷分配的卫星图像语义标注
3. Automatic annotation of histopathological images using a latent topic model based on non-negative matrix factorization [J] . Angel Cruz-Roa, Gloria Diaz, Eduardo Romero, Journal of Pathology Informatics . 2011,第3期

机译：使用基于非负矩阵分解的潜在主题模型自动标注组织病理图像
4. Automatic annotation of histopathological images using a latent topic model based on non-negative matrix factorization [J] . Angel Cruz-Roa, Gloria Diaz, Eduardo Romero, Journal of Pathology Informatics . 2011,第1期

机译：使用基于非负矩阵分解的潜在主题模型自动标注组织病理图像
5. Topic regression multi-modal Latent Dirichlet Allocation for image annotation [C] . Putthividhy Duangmanee, Attias Hagai T., Nagarajan Srikantan S. 2010 IEEE Conference on Computer Vision and Pattern Recognition . 2010

机译：用于图像标注的主题回归多模态潜在狄利克雷分配
6. Analyzing Clustered Latent Dirichlet Allocation. [D] . Gropp, Christopher. 2016

机译：分析聚类的潜在Dirichlet分配。
7. Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitter [O] . Jia Xue, Junxiang Chen, Chen Chen, 2020

机译：Covid 19 Pandemery的公众话语和情绪：在推特上使用潜在的Dirichlet分配主题建模
8. Topic Regression Multi-Modal Latent Dirichlet Allocation for Image Annotation [O] . Duangmanee Putthividhya, Hagai T. Attias, Srikantan S. Nagarajan 2015

机译：用于图像标注的主题回归多模态潜在Dirichlet分配

Image Annotation and Topic Extraction Using Super-Word Latent Dirichlet Allocation.

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