UNSUPERVISED VIDEO SEGMENTATION ALGORITHMS BASED ON FLEXIBLY REGULARIZED MIXTURE MODELS.

Launay C, Vacher J, Coen-Cagli R

DOI: 10.1109/icip46576.2022.9897691
Published: 2022 Oct
Container: Proceedings. International Conference on Image Processing
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1109/icip46576.2022.9897691,
  title = {UNSUPERVISED VIDEO SEGMENTATION ALGORITHMS BASED ON FLEXIBLY REGULARIZED MIXTURE MODELS.},
  author = {Launay C and Vacher J and Coen-Cagli R},
  year = {2022},
  journal = {Proceedings. International Conference on Image Processing},
  doi = {10.1109/icip46576.2022.9897691},
  url = {https://doi.org/10.1109/icip46576.2022.9897691}
}

RIS

TY  - JOUR
TI  - UNSUPERVISED VIDEO SEGMENTATION ALGORITHMS BASED ON FLEXIBLY REGULARIZED MIXTURE MODELS.
AU  - Launay C
AU  - Vacher J
AU  - Coen-Cagli R
PY  - 2022
JO  - Proceedings. International Conference on Image Processing
DO  - 10.1109/icip46576.2022.9897691
UR  - https://doi.org/10.1109/icip46576.2022.9897691
ER  -

APA

C, L., J, V., & R, C. (2022). UNSUPERVISED VIDEO SEGMENTATION ALGORITHMS BASED ON FLEXIBLY REGULARIZED MIXTURE MODELS.. Proceedings. International Conference on Image Processing. https://doi.org/10.1109/icip46576.2022.9897691

Source records

pubmed · retrieved 2026-09-26T07:21:45.659Z