2sds

[IJCAI 2022] Scene Separation & Data Selection: Temporal Segmentation Algorithm for Real-Time Video Stream Analysis. Pre-print available in the link below.

https://github.com/miraclefactory/2sds

Science Score: 28.0%

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Keywords

computer-vision dhash python real-time-video-analysis workshop-materials
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[IJCAI 2022] Scene Separation & Data Selection: Temporal Segmentation Algorithm for Real-Time Video Stream Analysis. Pre-print available in the link below.

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computer-vision dhash python real-time-video-analysis workshop-materials
Created over 3 years ago · Last pushed about 2 years ago
Metadata Files
Readme License Citation

README.md

Scene Separation & Data Selection

This repo contains the Scene Separation and Data Selection Algorithm used for real-time video stream analysis.

This algorithm is a work featured in IJCAI 2022 workshop Spatio-Temporal Reasoning and Learning.

Slides and Papers

Go to /slides for the oral presentation slides, go to arXiv for the paper.
Watch our STRL2022 keynote presentation on YouTube or Bilibili.

TO DO List

  1. add the previously implemented code to this repo
  2. refine 2SDS architecture
  3. consider a graph neural network approach

Citation

If you find this work useful, please cite our paper: @misc{2sds2022, title={Scene Separation & Data Selection: Temporal Segmentation Algorithm for Real-time Video Stream Analysis}, author={Yuelin Xin and Zihan Zhou and Yuxuan Xia}, year={2022}, eprint={2308.00210}, archivePrefix={arXiv}, primaryClass={cs.CV} }

Owner

  • Name: Miracle Factory
  • Login: miraclefactory
  • Kind: organization
  • Email: contact@miraclefactory.ai

An AI development and research community.

Citation (citation.bib)

@misc{2sds2022,
    title={Scene Separation & Data Selection: Temporal Segmentation Algorithm for Real-time Video Stream Analysis}, 
    author={Yuelin Xin and Zihan Zhou and Yuxuan Xia},
    year={2022},
    eprint={2308.00210},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

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