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It is our great pleasure to welcome you to the 2021 International Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia - MMArt-ACM 2021. This is the fourth time that we join two workshops, i.e., International Workshop on Multimedia Artworks Analysis (MMArt) and International Workshop on Attractiveness Computing in Multimedia (ACM), in order to enlarge the scope of discussion issues and inspire more works in related fields. This is also the third time we host these two workshops at ACM International Conference on Multimedia Retrieval (ICMR).
Despite the COVID-19 pandemic, we kept recruiting original and novel works and finally accepted three inspiring technical papers out of five submissions. We appreciate the contributions of all contributors of technical papers. We also invited Professor Yi-Hsuan Yang from Taiwan AI Labs and Academia Sinica to give us a talk on automatic music composition. Although MMArt-ACM 2021 may be a small workshop, we hope it will be a highly interactive and enjoyable event.
Proceeding Downloads
Automatic Music Composition with Transformers
In this talk, I will first give a brief overview of recent deep learning-based approaches for automatic music generation in the symbolic domain. I will then talk about our own research that employs self-attention based architectures, a.k.a. Transformers,...
Color-Grayscale-Pair Image Sentiment Dataset and Its Application to Sentiment-Driven Image Color Conversion
In this study, we focused on the fact that the color information of an image has a significant effect on the emotion recalled, and we created a dataset with discrete and continuous emotion labels for color and grayscale image pairs, which are not ...
Ketchup GAN: A New Dataset for Realistic Synthesis of Letters on Food
This paper introduces a new dataset for the realistic synthesis of letters on food. Specifically, the "Ketchup GAN" dataset consists of real-world images of egg omelettes decorated with ketchup letters. Our dataset contains sufficient size and variety ...
Estimating Groups of Featured Characters in Comics with Sequence of Characters' Appearance
This paper proposes a method to estimate a group of featured characters during an arbitrary period in comics. Comics have so many aspects of attractiveness such as illustrations and quotes. The storyline, which is one of the attractive of comics, ...