ACE: Art, Color and Emotion
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| Publication date | 2019 |
| Book title | MM'19 |
| Book subtitle | proceedings of the 27th ACM Conference on Multimedia : October 21-25, 2019, Nice, France |
| ISBN (electronic) |
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| Event | 27th ACM International Conference on Multimedia, MM 2019 |
| Pages (from-to) | 1053-1055 |
| Publisher | New York, NY: Association for Computing Machinery |
| Organisations |
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| Abstract |
We present ACE, the Art, Color and Emotion browser. ACE is a data driven web based platform for exploring the visual sentiment and emotion in artistic paintings over time. To that end, we train our own visual artistic sentiment extraction model by leveraging the artworks from the OmniArt dataset. With our model we are able to estimate the overall sentiment dominating in groups of artworks belonging to a specific time interval. To make the results interactive and explorable we designed an intuitive interface with a carefully considered shape, color and element placement enforcing a top-down interaction scheme. Moreover, we perform extensive control on resource utilisation to provide the smoothest possible user experience and quality of service while using ACE.
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| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.1145/3343031.3350588 |
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