Combining Holistic and Part-based Deep Representations for Computational Painting Categorization

ICMR, pp. 339-342, 2016.

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Abstract:

Automatic analysis of visual art, such as paintings, is a challenging inter-disciplinary research problem. Conventional approaches only rely on global scene characteristics by encoding holistic information for computational painting categorization. We argue that such approaches are sub-optimal and that discriminative common visual structu...More

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