Cast Search via Two-Stream Label Propagation

Jhih-Ciang Wu, Bing-Jhang Lin, Bing-Yuan Zeng, Li-Chen Fu, Chiou-Shann Fuh, Tyng-Luh Liu

ICCVW 2019 pp. 1858-1862

doi:10.1109/ICCVW.2019.00231 /iccvw/2019/wu2019iccvw-cast/

Abstract

We address the problem of Cast Search by Portraits (CSP) where a facial portrait of a cast member is provided to retrieve from a given video clip those frames containing the query target. The underlying CSP formulation is related to the task of person re-identification. However, CSP is more challenging in that the provided query image is only a portrait of a certain cast member, and the instances of the target in the candidate video could have a very different visual appearance. Such drastic visual variations are not common in addressing the problem of person re-id. We propose a two-stream network architecture for tackling the CSP challenge and also participate in the public CSP competition. The overall outcome in the competition is promising and worth further effort to improve our proposed model.

ICCVW Semantic Scholar

Cite

Text

Wu et al. "Cast Search via Two-Stream Label Propagation." IEEE/CVF International Conference on Computer Vision Workshops, 2019. doi:10.1109/ICCVW.2019.00231

Markdown

[Wu et al. "Cast Search via Two-Stream Label Propagation." IEEE/CVF International Conference on Computer Vision Workshops, 2019.](https://mlanthology.org/iccvw/2019/wu2019iccvw-cast/) doi:10.1109/ICCVW.2019.00231

BibTeX

@inproceedings{wu2019iccvw-cast,
  title     = {{Cast Search via Two-Stream Label Propagation}},
  author    = {Wu, Jhih-Ciang and Lin, Bing-Jhang and Zeng, Bing-Yuan and Fu, Li-Chen and Fuh, Chiou-Shann and Liu, Tyng-Luh},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2019},
  pages     = {1858-1862},
  doi       = {10.1109/ICCVW.2019.00231},
  url       = {https://mlanthology.org/iccvw/2019/wu2019iccvw-cast/}
}