Mutual Enhancement for Detection of Multiple Logos in Sports Videos

@article{Liao2017MutualEF,
  title={Mutual Enhancement for Detection of Multiple Logos in Sports Videos},
  author={Yuan Liao and Xiaoqing Lu and Chengcui Zhang and Yongtao Wang and Zhi Tang},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={4856-4865}
}
Detecting logo frequency and duration in sports videos provides sponsors an effective way to evaluate their advertising efforts. However, general-purposed object detection methods cannot address all the challenges in sports videos. In this paper, we propose a mutual-enhanced approach that can improve the detection of a logo through the information obtained from other simultaneously occurred logos. In a Fast-RCNN-based framework, we first introduce a homogeneity-enhanced re-ranking method by… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

References

Publications referenced by this paper.
SHOWING 1-10 OF 38 REFERENCES

Similar Papers

Loading similar papers…