Automatic Training Image Acquisition and Effective Feature Selection From Community-Contributed Photos for Facial Attribute Detection

@article{Chen2013AutomaticTI,
  title={Automatic Training Image Acquisition and Effective Feature Selection From Community-Contributed Photos for Facial Attribute Detection},
  author={Yan-Ying Chen and Winston H. Hsu and Hong-Yuan Mark Liao},
  journal={IEEE Transactions on Multimedia},
  year={2013},
  volume={15},
  pages={1388-1399}
}
Facial attributes are shown effective for mining specific persons and profiling human activities in large-scale media such as surveillance videos or photo-sharing services. For comprehensive analysis, a rich number of facial attributes is required. Generally, each attribute detector is obtained by supervised learning via the use of large training data. It is promising to leverage the exponentially growing community contributed photos and the associated informative contexts to ease the burden of… CONTINUE READING