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While different forms of art have been integrated in few fields such as architecture, graphic design or even engineering (video game design for instance), they have most of the time been represented separately as monastic elements. Motivated to find an automated link between two forms of art: music and abstract art as well as to provide a unique experience for visually challenged people in presence of abstract art, we propose in this work ArtMus, a novel approach to listening to an abstract art. ArtMus after scanning in real time the abstract art would classify it and output a melodic tune based on the combinations of colors available in the abstract art as well as the pattern the user is using to traverse the abstract art. Limited experimental results show the merit of the proposed approach in providing some affective computing for abstract art and motivate follow on research.