Abstract
Metadata is the clue to connecting videos and individual users. For a successful personalization, collecting more detailed and concrete metadata is important. This paper proposes a method to create and utilize metadata more precisely as a result of research on how to do the personalization better. For that, we propose a way to consume and utilizing a video in a series of segmented images so that can get the user’s taste on specific sections or points of the video. Proposed method is implemented on the web site and the effectiveness of proposed method is revealed by comparing the site stay time and number of video usage per session between new visitors and returning visitors.
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References
Yi, H., Rajan, D., Chia, L.-T.: Semantic video indexing and summarization using subtitles. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds.) PCM 2004. LNCS, vol. 3331, pp. 634–641. Springer, Heidelberg (2004). doi:10.1007/978-3-540-30541-5_78
Cour, T., Jordan, C., Miltsakaki, E., Taskar, B.: Movie/script: alignment and parsing of video and text transcription. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008. LNCS, vol. 5305, pp. 158–171. Springer, Heidelberg (2008). doi:10.1007/978-3-540-88693-8_12
Košút, M., Šimko, M.: Improving keyword extraction from movie subtitles by utilizing temporal properties. In: Freivalds, R.M., Engels, G., Catania, B. (eds.) SOFSEM 2016. LNCS, vol. 9587, pp. 544–555. Springer, Heidelberg (2016). doi:10.1007/978-3-662-49192-8_44
Truong, B.T., Venkatesh, S.: Video abstraction: a systematic review and classification. ACM Trans. Multimed. Comput. Commun. Appl. 3(1), 1–37 (2007)
Hu, W., Xie, N., Li, L., Zeng, X., Maybank, S.: A survey on visual content-based video indexing and retrieval. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 41(6), 797–819 (2011)
Kim, W., Kim, C.: A new approach for overlay text detection and extraction from complex video scene. IEEE Trans. Image Process. 18(2), 401–411 (2009)
Wactlar, H.D., Kanade, T., Smith, M.A., Stevens, S.M.: Intelligent access to digital video: informedia project. Computer 29(5), 46–52 (1996)
Jung, K., Kim, K.I., Jain, A.K.: Text information extraction in images and video: a survey. Pattern Recogn. 37, 977–997 (2006)
Gianluigi, C., Raimondo, S.: An innovative algorithm for key frame extraction in video summarization. J. Real-Time Image Process. 1(1), 69–88 (2006)
Liu, Y.-J., Ma, C.-X., Fu, Q., Fu, X., Qin, S.-F., Xie, L.: A sketch-based approach for interactive organization of video clips. ACM Trans. Multimed. Comput. Commun. Appl. 11(1), 1–21 (2014)
Mei, T., Tang, L.-X., Tang, J., Hua, X.-S.: Near-lossless semantic video summarization and its applications to video analysis. ACM Trans. Multimed. Comput. Commun. Appl. 9(3), 16–39 (2013)
Money, A.G., Agius, H.: ELVIS: entertainment-led video summaries. ACM Trans. Multimed. Comput. Commun. Appl. 6(3), 17–47 (2010)
Acknowledgement
This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (No: R-20160906-004163, Developing Bigdata Autotagging and Tag-based DaaS System).
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Park, H., Han, K., Yang, J., Choi, J.K. (2017). Enhanced Metadata Creation and Utilization for Personalized IPTV Service. In: Kim, K., Joukov, N. (eds) Information Science and Applications 2017. ICISA 2017. Lecture Notes in Electrical Engineering, vol 424. Springer, Singapore. https://doi.org/10.1007/978-981-10-4154-9_88
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DOI: https://doi.org/10.1007/978-981-10-4154-9_88
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