TransNet: A deep network for fast detection of common shot transitions

🎉🎉🎉 A new version with better performance and training code has been released! See github.com/soCzech/TransNetV2. 🎉🎉🎉

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This repository contains code for paper TransNet: A deep network for fast detection of common shot transitions.

If you use it in your work, please cite:

@inproceedings{LokocKSMC19Viret,
    author    = {Jakub Loko\v{c} and
                Gregor Koval\v{c}{\'{\i}}k and
                Tom{\'{a}}s Sou\v{c}ek and
                Jaroslav Moravec and
                Premysl \v{C}ech},
    title     = {A framework for effective known-item search in video},
    booktitle = {In Proceedings of the 27th ACM International Conference on Multimedia (MM’19),
                 October 21-25, 2019, Nice, France},
    pages     = {1--9},
    year      = {2019},
    url       = {https://doi.org/10.1145/3343031.3351046},
    doi       = {10.1145/3343031.3351046}
}

or

@article{soucek2019transnet,
    title={TransNet: A deep network for fast detection of common shot transitions},
    author={Sou{\v{c}}ek, Tom{\'a}{\v{s}} and Moravec, Jaroslav and Loko{\v{c}}, Jakub},
    journal={arXiv preprint arXiv:1906.03363},
    year={2019}
}

How to use it?

See example.ipynb jupyter notebook file for an example how to generate shot boundaries for your video.