Acknowledgement
This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea(NRF-2020S1A3A2A02093277).
References
- Baltruschat, I. M., Nickisch, H., Grass, M., Knopp, T., and Saalbach, A., "Comparison of Deep Learning Approaches for Multi-label Chest X-ray Classification," Scientific reports, Vol. 9, No. 1, pp. 1-10, 2019. https://doi.org/10.1038/s41598-018-37186-2
- Chae, S. H., "A Study on the Awareness of and Preference for Make-up Images in Performance Posters and the Intention to Attend a Performance," Oriental Arts, Vol. 32, pp. 359-389, 2016.
- Cho, Y. H., Park, Y. S., and Kim, H. J., "Changes in Review Length based on the Popularity of Movies using Big Data," Journal of The Korea Contents Association, Vol. 18, No. 5, pp. 367-375, 2018. https://doi.org/10.5392/JKCA.2018.18.05.367
- Chon, B. S. and Yi, J. Y., "The effects of domestic and global movie rating services on economic performances of movies in korea," Journal of Communication Science, Vol. 19, No. 4, pp. 227-253, 2019. https://doi.org/10.14696/jcs.2019.12.19.4.226
- Chon, B. S., Park, S. B., and Jo, A. R., "The effects of movie stars on box-office performances," The Journal of Image and Cultrual Contents, Vol. 18, pp. 363-389, 2019 https://doi.org/10.24174/jicc.2019.10.18.363
- de Rooij, P. and Bastiaansen, M., "Understanding and measuring consumption motives in the performing arts," The Journal of Arts Management, Law, and Society, Vol. 47, No. 2, pp. 118-135, 2017. https://doi.org/10.1080/10632921.2016.1259132
- Gozuacik, N. and Sakar, C. O., "Turkish movie genre classification from poster images using convolutional neural networks," In 2019 11th International Conference on Electrical and Electronics Engineering(ELECO), pp. 930-934, 2019.
- Guo, Y., Liu, Y., Oerlemans, A., Lao, S., Wu, S., and Lew, M. S., "Deep learning for visual understanding: a review," Neurocomputing, Vol. 187, pp. 27-48, 2016. https://doi.org/10.1016/j.neucom.2015.09.116
- He, K., Zhang, X., Ren, S., and Sun, J., "Deep residual learning for image recognition," In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 770-778, 2016.
- Im, E. K. and Seo, I. S., "Study of pictorial digital image shown on the movie posters-focused on top 10 national films shown in between 2003-2012," Journal of Digital Design, Vol. 12, No. 3, pp. 497-506, 2012. https://doi.org/10.17280/jdd.2012.12.3.047
- Jang, S., Wi, J., and Kim, Y., "Korean movie genre classification based on poster images with multi-label training using CNN," Proceedings of HCIK 2019, pp. 746-749, 2019.
- Jeong, C. M. and Min, D. K., "A Study on the Performance Evaluation of Machine Learning for Predicting the Number of Movie Audiences," The Jounal of Society for e-Business Studies, Vol. 25, No.2 , pp. 49-63, 2020.
- Joo, J., Steen, F. F., and Zhu, S. C., "Automated facial trait judgment and election outcome prediction: social dimensions of face," In Proceedings of the IEEE international conference on computer vision, pp. 3712-3720, 2015.
- Kim, B. K. and Lim, C. W., "Prediction of movie audience numbers using hybrid model combining GLS and Bass models," The Korean Journal of Applied Statistics, Vol. 31, No. 4, pp. 447-461, 2018. https://doi.org/10.5351/KJAS.2018.31.4.447
- Kim, B. S., "Comparison of factors predicting theatrical movie success: focusing on the classification by the release type and the length of run," Korean Journal of Journalism and Communication Studies, Vol. 53, No. 1, pp. 257-287, 2009.
- Kim, H. Y. and Seo, D. H., "A topic modeling approach to the analysis of domestic performance," Official Journal of Korean Society of Dance Science, Vol. 36, No. 3, pp. 99-111, 2019.
- Kim, S. J., Choi, I. S., and Seok, S. M., "Comparative analysis of movie poster colors according to genre -On thriller/mystery, comedy & melo/romance movies (2010-2015)," Journal of The Korean Society of Illustration Research, Vol. 18, No. 53, pp. 33-42, 2017.
- Kim, S. Y., Lim, S. H., and Jung, Y. S., "A comparison study of the determinants of performance of motion pictures: art film vs. commercial film," The Journal of the Korea Contents Association, Vol. 10, No. 2, pp. 381-393, 2010. https://doi.org/10.5392/JKCA.2010.10.2.381
- Kim, S. Y. and Yi, E. S., "A case study on big data analysis of performing arts consumer for audience development," Journal of the Korea Academia-Industrial cooperation Society, Vol. 18, No. 12, pp. 286-299, 2017.
- Kim, S. M., Kim, J. Y., and Choi, M. C., "The study of the spectating factors and satisfactions effect on the re-spectate Intention," The Journal of Management, Vol. 32, pp. 23-38, 2011.
- Kim, T. H. and Shin, H. D., "The impacts of theme, genre, and existence of originals on the number of visitors of children performance: Focusing on the interaction effect of school periods," Journal of the Korea Academia-Industrial cooperation Society, Vol. 14, No. 10, pp. 4762-4768, 2013. https://doi.org/10.5762/KAIS.2013.14.10.4762
- Kim, Y. H. and Hong, J. H., "A study for the development of motion picture box-office prediction model," Communications for statistical applications and methods, Vol. 18, No. 6, pp. 859-869, 2011. https://doi.org/10.5351/CKSS.2011.18.6.859
- Kim, S. H. and Han, J. M., "An analysis of motion picture box office performance : focusing on korean movies released in 2012," Journal of Social Science, Vol. 53, No. 1, pp. 191-214, 2014.
- Kwon, H. I., Jung, S. G., and Choi, Y. S., "Effects of factors of purchase intention to viewing performance by audience type," The Journal of the Korea Contents Association, Vol. 15, No. 2, pp. 139-150, 2015. https://doi.org/10.5392/JKCA.2015.15.02.139
- Kwon, S. J., "Factors influencing cinema success: using news and online Rates," Review of Cultural Economics, Vol. 17, No. 1, pp. 35-55, 2014.
- Lee, E. M. and Chung, Y. K., "The study of the revitalization of performing arts audiences: focused on the obstructive factor and remedy for performing arts," Journal of Arts Management and Policy, Vol. 42, pp. 211-247, 2017.
- Lee, J. H. and Kim, Y. J., "A study on the factors in box-office of the audience-driven attributes," Journal of the Korea Entertainment Industry Association, Vol. 7, No. 1, pp. 1-9, 2013.
- Lee, J. K., Choi, Y. G., Jung, E. H., Jo, J. S., Ko, H. J., and Jo, H., "The effect of buzz volume on success of movie," The Journal of Internet Electronic Commerce Research, Vol. 19, No. 1, pp. 211-221, 2019.
- Panahi, M., Sadhasivam, N., Pourghasemi, H. R., Rezaie, F., and Lee, S., "Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression(SVR)," Journal of Hydrology, Vol. 588, pp. 125033, 2020. https://doi.org/10.1016/j.jhydrol.2020.125033
- Park, S. and Shim, H., "Movie poster classification into genres via convolutional neural network," Proceedings of the The Korean Institute of Information Scientists and Engineers, pp. 890-892, 2017.
- Park, S. H., Song, H. J., and Jung, W. K., "The determinants of motion picture box office performance: evidence from korean movies released in 2009-2010," Journal of Communication Science, Vol. 11, pp. 231-258, 2011.
- Rhine, A. S. and Murnin, P. M., "Day, duration, and start time: are the arts providing what their audiences require?," Arts and the Market, Vol. 8, No. 1, pp. 19-29, 2018. https://doi.org/10.1108/AAM-12-2017-0027
- Saif, M. A., Medvedev, A. N., Medvedev, M. A., and Atanasova, T., "Classification of online toxic comments using the logistic regression and neural networks models," In AIP conference proceedings, AIP Publishing LLC, Vol. 2048, No. 1, pp. 060011, 2018.
- Simonyan, K. and Zisserman, A., "Very deep convolutional networks for large-scale image recognition," arXiv preprint arXiv:1409.1556, 2014.
- Song, E. A., "A study of the factors explaining the long-run theatre," Journal of the Korea Entertainment Industry Association, pp. 132-136, 2013.
- Sudharshan, P. J., Petitjean, C., Spanhol, F., Oliveira, L. E., Heutte, L., and Honeine, P., "Multiple instance learning for histopathological breast cancer image classification," Expert Systems with Applications, Vol. 117, pp. 103-111, 2019. https://doi.org/10.1016/j.eswa.2018.09.049
- Szegedy et al., "Going deeper with convolutions," In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 1-9, 2015.
- Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., and Wojna, Z., "Rethinking the inception architecture for computer vision," In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2818-2826, 2016.
- Yi, H. C., "Examining current challenges of Korean movie posters and seeking improvements for changes -Referencing the Hollywood movie poster production system-," Journal of Communication Design, Vol. 53, pp. 252-263, 2015.
- Yoo, M. H. and Kim, J. W., "A Study on the factors influencing satisfaction of the play audience: focusing on the Influence of others," Journal of Arts and Cultural Management, Vol. 10, No. 2, pp. 29-58, 2017.
- Yoon, J. W., Jeon, J. W., and Park, K. S., "Effects of font fit and familiarity on moviegoer's attitudes and intentions," Media and Performing Arts, Vol. 9, No. 1, pp. 1-28, 2014.
- Yu, J. P. and Lee, E. H., "A model of predictive movie 10 million spectators through big data analysis," The Korea Journal of BigData, Vol. 3, No. 1, pp. 63-71, 2018. https://doi.org/10.36498/KBIGDT.2018.3.1.63
- Zhang, K., Zhang, Z., Li, Z., and Qiao, Y., "Joint face detection and alignment using multitask cascaded convolutional networks," IEEE Signal Processing Letters, Vol. 23, No. 10, pp. 1499-1503, 2016. https://doi.org/10.1109/LSP.2016.2603342