Abstract
This paper proposes a efficient method for instant photo aesthetics quality assessment that can be implemented on general portable devices. The classification performance is guaranteed to 0.89 on benchmark photo database. We also port our method onto a middle-level tablet computer to execute instantly and we find it reaches good acceptable efficiency. Moreover, an aesthetic information display to present the aesthetics evaluation results to users is introduced.
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Tong, H., Li, M., Zhang, H.-J., He, J., Zhang, C.: Classification of Digital Photos Taken by Photographers or Home Users. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds.) PCM 2004. LNCS, vol. 3331, pp. 198–205. Springer, Heidelberg (2004)
Datta, R., Joshi, D., Li, J., Wang, J.Z.: Studying Aesthetics in Photographic Images Using a Computational Approach. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006, Part III. LNCS, vol. 3953, pp. 288–301. Springer, Heidelberg (2006)
Ke, Y., Tang, X., Jing, F.: The design of high-level features for photo quality assessment. In: CVPR (2006)
Luo, Y., Tang, X.: Photo and Video Quality Evaluation: Focusing on the Subject. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part III. LNCS, vol. 5304, pp. 386–399. Springer, Heidelberg (2008)
Luo, W., Wang, X., Tang, X.: Content-based photo quality assessment. In: ICCV (2011)
Dhar, S., Ordonez, V., Berg, T.: High level describable attributes for predicting aesthetics and interestingness. In: CVPR (2011)
Marchesotti, L., Perronnin, F., Larlusa, D., Csurka, G.: Assessing the aesthetic quality of photographs using generic image descriptors. In: ICCV (2011)
Su, H.H., Chen, T.W., Kao, C.C., Hsu, W.H., Chien, S.Y.: Scenic photo quality assessment with bag of aesthetics-preserving features. In: ACM Multimedia (2011)
Datta, R., Wang, J.Z.: Acquine: Aesthetic quality inference engine real-time automatic rating of photo aesthetics. In: ACM MIR (2010)
Yao, L., Suryannarayan, P., Qiao, M., Wang, J.Z., Li, J.: Oscar: On-site composition and aesthetics feedback through exemplars for photographers. IJCV (2011)
Vazquez, M., Steinfeld, A.: An assisted photography method for street scenes. In: WACV (2011)
Desnoyer, M., Wettergreen, D.: Aesthetics image classification for autonomous agents. In: ICPR (2010)
Burkard, R., Dell’Amico, M., Martello, S.: Assignment Problems. SIAM (2009)
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Lo, KY., Liu, KH., Chen, CS. (2013). Intelligent Photographing Interface with On-Device Aesthetic Quality Assessment. In: Park, JI., Kim, J. (eds) Computer Vision - ACCV 2012 Workshops. ACCV 2012. Lecture Notes in Computer Science, vol 7729. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37484-5_43
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DOI: https://doi.org/10.1007/978-3-642-37484-5_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37483-8
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