A Weighted Topic Model Learned From Local Semantic Space for Automatic Image Annotation

A Weighted Topic Model Learned From Local Semantic Space for Automatic Image Annotation

Automatic image annotation plays a significant role in image understanding, retrieval, classification, and indexing. Today, it is becoming increasingly important in order to annotate large-scale social media images from content-sharing websites and social networks. These social images are usually an...

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Bibliographic Details
Main Authors: Haiyu Song, Pengjie Wang, Jian Yun, Wei Li, Bo Xue, Gang Wu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Automatic image annotation
image retrieval
probabilistic latent semantic analysis
topic model
Online Access:https://ieeexplore.ieee.org/document/9075224/

Internet

https://ieeexplore.ieee.org/document/9075224/

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