Explore MovieNet
Data in MovieNet
Annotation in MovieNet
Benchmarks
movienet-core
contains multiple modules for processing
the dataset, including:
movienet-host
is a flexiable MovieNet data manager
that help you deploy MovieNet data server remotely or locally.
movienet-tools
, movienet
, etc.
Download MovieNet
MovieNet Projects
Holistic Movie Understanding Dataset
Movie Cinematic Style Analysis
Unsupervised Face Recognition
Online Person Search
Movie Scene Temporal Segmentation
Movie Synopsis Association
Person Search
Person Recognition
Trailer Analysis
News
movienet-tools
v0.0.1 is released.Contact Us
© 2020, OpenMMLab, by MMLab, CUHK. Last Update in July 2020.
@inproceedings{huang2020movienet,
title={MovieNet: A Holistic Dataset for Movie Understanding},
author={Huang, Qingqiu and Xiong, Yu and Rao, Anyi and Wang, Jiaze and Lin, Dahua},
booktitle = {The European Conference on Computer Vision (ECCV)},
year={2020}
}
@inproceedings{rao2020unified,
title={A Unified Framework for Shot Type Classification Based on Subject Centric Lens},
author={Rao, Anyi and Wang, Jiaze and Xu, Linning and Jiang, Xuekun and Huang, Qingqiu and Zhou, Bolei and Lin, Dahua},
booktitle = {The European Conference on Computer Vision (ECCV)},
year={2020}
}
@inproceedings{xia2020online,
title={Online Multi-modal Person Search in Videos},
author={Xia, Jiangyue and Rao, Anyi and Xu, Linning and Huang, Qingqiu and Wen, Jiangtao and Lin, Dahua},
booktitle = {The European Conference on Computer Vision (ECCV)},
year={2020}
}
@inproceedings{rao2020local,
title={A Local-to-Global Approach to Multi-modal Movie Scene Segmentation},
author={Rao, Anyi and Xu, Linning and Xiong, Yu and Xu, Guodong and Huang, Qingqiu and Zhou, Bolei and Lin, Dahua},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={10146--10155},
year={2020}
}
@InProceedings{Xiong_2019_ICCV,
author = {Xiong, Yu and Huang, Qingqiu and Guo, Lingfeng and Zhou, Hang and Zhou, Bolei and Lin, Dahua},
title = {A Graph-Based Framework to Bridge Movies and Synopses},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {October},
year = {2019}
}
@inproceedings{huang2018person,
title={Person Search in Videos with One Portrait Through Visual and Temporal Links},
author={Huang, Qingqiu and Liu, Wentao and Lin, Dahua},
booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
pages={425--441},
year={2018}
}
@InProceedings{Huang_2018_CVPR,
author = {Huang, Qingqiu and Xiong, Yu and Lin, Dahua},
title = {Unifying Identification and Context Learning for Person Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
@article{huang2018trailers,
title={From Trailers to Storylines: An Efficient Way to Learn from Movies},
author={Huang, Qingqiu and Xiong, Yuanjun and Xiong, Yu and Zhang, Yuqi and Lin, Dahua},
journal={arXiv preprint arXiv:1806.05341},
year={2018}
}