Image annotation based on bi-coded chromosome genetic algorithm for feature selection

@article{Lu2008ImageAB,
  title={Image annotation based on bi-coded chromosome genetic algorithm for feature selection},
  author={Jianjiang Lu and Qi Xiao and Tianzhong Zhao and Yafei Zhang and Yanhui Li},
  journal={2008 International Conference on Information and Automation},
  year={2008},
  pages={708-712}
}
In image annotation system, performance is highly desired. We use a bi-coded chromosome-based genetic algorithm to optimize the weights of multimedia content description interface (MPEG-7) feature descriptors and select optimal feature descriptor subset simultaneously. Two genetic codes are used: a real code represents the weights corresponding to MPEG-7 descriptors; a binary one denotes the presence or absence of feature descriptors in the optimal descriptor subset. The genetic algorithm… CONTINUE READING