Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search

@article{Gao2013VisualTextualJR,
  title={Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search},
  author={Yue Gao and M. Wang and Zhengjun Zha and Jialie Shen and X. Li and X. Wu},
  journal={IEEE Transactions on Image Processing},
  year={2013},
  volume={22},
  pages={363-376}
}
  • Yue Gao, M. Wang, +3 authors X. Wu
  • Published 2013
  • Computer Science, Medicine
  • IEEE Transactions on Image Processing
Due to the popularity of social media websites, extensive research efforts have been dedicated to tag-based social image search. Both visual information and tags have been investigated in the research field. However, most existing methods use tags and visual characteristics either separately or sequentially in order to estimate the relevance of images. In this paper, we propose an approach that simultaneously utilizes both visual and textual information to estimate the relevance of user tagged… Expand
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