Analysis of Hybrid Compositions in Animation Film with Weakly Supervised Learning
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866912062018420736 |
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| author | Portos, Mónica Apellaniz Labadie-Tamayo, Roberto Stemmler, Claudius Feyersinger, Erwin Babic, Andreas Bruckner, Franziska Öhner, Vrääth Zeppelzauer, Matthias |
| author_facet | Portos, Mónica Apellaniz Labadie-Tamayo, Roberto Stemmler, Claudius Feyersinger, Erwin Babic, Andreas Bruckner, Franziska Öhner, Vrääth Zeppelzauer, Matthias |
| contents | We present an approach for the analysis of hybrid visual compositions in animation in the domain of ephemeral film. We combine ideas from semi-supervised and weakly supervised learning to train a model that can segment hybrid compositions without requiring pre-labeled segmentation masks. We evaluate our approach on a set of ephemeral films from 13 film archives. Results demonstrate that the proposed learning strategy yields a performance close to a fully supervised baseline. On a qualitative level the performed analysis provides interesting insights on hybrid compositions in animation film. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_04789 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Analysis of Hybrid Compositions in Animation Film with Weakly Supervised Learning Portos, Mónica Apellaniz Labadie-Tamayo, Roberto Stemmler, Claudius Feyersinger, Erwin Babic, Andreas Bruckner, Franziska Öhner, Vrääth Zeppelzauer, Matthias Computer Vision and Pattern Recognition Artificial Intelligence We present an approach for the analysis of hybrid visual compositions in animation in the domain of ephemeral film. We combine ideas from semi-supervised and weakly supervised learning to train a model that can segment hybrid compositions without requiring pre-labeled segmentation masks. We evaluate our approach on a set of ephemeral films from 13 film archives. Results demonstrate that the proposed learning strategy yields a performance close to a fully supervised baseline. On a qualitative level the performed analysis provides interesting insights on hybrid compositions in animation film. |
| title | Analysis of Hybrid Compositions in Animation Film with Weakly Supervised Learning |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence |
| url | https://arxiv.org/abs/2410.04789 |