Online non-feedback image re-ranking via dominant data selection

@inproceedings{Cao2012OnlineNI,
  title={Online non-feedback image re-ranking via dominant data selection},
  author={Chen Cao and Shifeng Chen and Yuhong Li and Jianzhuang Liu},
  booktitle={ACM Multimedia},
  year={2012}
}
Image re-ranking aims at improving the precision of keyword-based image retrieval, mainly by introducing visual features to re-rank. Many existing approaches require offline training for every keyword, which are unsuitable for online image search. Other real-time approaches demand user interaction, which are inappropriate for large-scale image collection. To improve the accuracy of web image retrieval in a practicable manner, we propose a novel re-ranking algorithm to explore the cluster… CONTINUE READING

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