Abstract
Evaluating the aesthetic quality of photos automatically can be considered as a highly challenging task. In this paper, we propose and investigate a novel method for the aesthetic assessment of photos. We integrate photo composition of salient object regions into the assessment. Specifically, we first evaluate the objectness of regions in photos by considering the spatial location and shape of the image salient object regions. Then, we extract features based on the spatial composition of objects. The proposed features fuse aesthetics rules with composition of semantic regions. The proposed method is evaluated on a large dataset. Experimental results demonstrate the efficacy of the proposed method.
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Acknowledgements
This work was supported in part by National Natural Science Foundation of China (No. 81373555), and Shanghai Committee of Science and Technology (14JC1402202, 14441904403).
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Lu, H. et al. (2016). Leveraging Composition of Object Regions for Aesthetic Assessment of Photographs. In: Chen, E., Gong, Y., Tie, Y. (eds) Advances in Multimedia Information Processing - PCM 2016. PCM 2016. Lecture Notes in Computer Science(), vol 9916. Springer, Cham. https://doi.org/10.1007/978-3-319-48890-5_16
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DOI: https://doi.org/10.1007/978-3-319-48890-5_16
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