Bilateral Correspondence Model for Words-and-Pictures Association in Multimedia-Rich Microblogs

@article{Wang2014BilateralCM,
  title={Bilateral Correspondence Model for Words-and-Pictures Association in Multimedia-Rich Microblogs},
  author={Zhiyu Wang and Peng Cui and Lexing Xie and Wenwu Zhu and Yong Rui and Shiqiang Yang},
  journal={TOMCCAP},
  year={2014},
  volume={10},
  pages={34:1-34:21}
}
Nowadays, the amount of multimedia contents in microblogs is growing significantly. More than 20% of microblogs link to a picture or video in certain large systems. The rich semantics in microblogs provides an opportunity to endow images with higher-level semantics beyond object labels. However, this raises new challenges for understanding the association between multimodal multimedia contents in multimedia-rich microblogs. Disobeying the fundamental assumptions of traditional annotation… CONTINUE READING
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Matching Words and Pictures

Journal of Machine Learning Research • 2003
View 11 Excerpts
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ImageNet: A large-scale hierarchical image database

2009 IEEE Conference on Computer Vision and Pattern Recognition • 2009
View 4 Excerpts
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