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 hybrid composition

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

arXiv.org 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.

  composition, hybrid composition, segmentation model, (14 more...)
2410.04789
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  Genre: Research Report > New Finding (0.66)
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