References
- 정보통신정책연구원, "2014년 방송매체 이용행태 조사 보고서," 2014. 12.
- J. Breese, D. Heckerman, and C. Kadie, "Empirical Analysis of Predictive Algorithms for Collaborative Filtering," Proc. 14th Conf. Uncertainty in Artificial Intelligence, 1998, pp. 43-52.
- D. park, H. Kim, I. Choi, and J. Kim, "A Literature Review and Classification of Recommender Systems Research," Expert Systems with Applications, vol. 38, no. 11, 2012, pp. 10059-10072.
- M. Fabro and L. Boszormenyi, "State-of-the-art and Future Challenges in Video Scene Detection: A Survey," Multimedia Systems, vol. 19, no. 5, 2013, pp. 427-454. https://doi.org/10.1007/s00530-013-0306-4
- B. Clarkson, A. Pentland, and K. Mase, "Recognizing User Context via Wearable Sensors," Proc. IEEE Inter. Symp. Wearable Computers, Oct. 2000, p. 69.
- NIST, "TREC Video Retrieval Evaluation: TRECVID," http://trecvid.nist.gov/
- A. Smeaton, P. Over, and A. Doherty, "Video Shot Boundary Detection: Seven Years of TRECVid Activity," Computer Vision Image Understanding, vol. 114, no. 4, 2010, pp. 411-418. https://doi.org/10.1016/j.cviu.2009.03.011
- J. Yuan et al., "A Formal Study on Shot Boundary Detection," IEEE Transactions on Circuits and Systems for Video Technology, vol. 17, no.2, Feb. 2007, pp. 168-186. https://doi.org/10.1109/TCSVT.2006.888023
- P. Over et al., "TRECVID 2007-Overview," July 31st, 2014, pp. 1-27, http://www-nlpir.nist.gov/projects/tvpubs/tv7.papers/tv7overview.pdf
- E. Apostolidis and V. Mezaris, "Fast Shot Segmentation Combining Global and Local Visual Descriptors," Proc. IEEE Inter. Conf. Acoustic, Speech and Signal Processing, 2014, pp. 6583-6587.
- R. Hannane et al., "An Efficient Method for Video Shot Boundary Detection and Keyframe Extraction using SIFT-point Distribution Histogram," Inter. J. Multimedia Information Retrieval, Mar. 16th, 2016, pp. 1-16.
- J. Monaco, "How to Read a Film: The World of Movies, Media, Multimedia: Language, History, Theory," Oxford University Press, 2000.
- E. Katz, F. Klein, and R.D. Nolen, "The Film Encyclopedia," Harper perennial, 1998.
- M. Fabro and L. Boszormenyu, "State-of-the-Art and Future Challenges in Video Scene Detection: a Survey," Multidedia Systems, vol. 19, no. 5, 2013, pp. 427-454. https://doi.org/10.1007/s00530-013-0306-4
- J. Huang, Z. Liu, and W. Yao, "Integration of Audio and Visual Information for Content-based Video Segmentation," Proc. Inter. Conf. Image Processing, vol. 3, 1998, pp. 526-529.
- J.R. Kender and B.-L. Yeo, "Video Scene Segmentation via Continuous Video Coherence," Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition, June 1998, pp. 367-373.
- V.T. Chasanis, A.C. Likas, and N.P. Galatsanos, "Scene Detection in Videos Using Shot Clustering and Sequence Alignment," IEEE Transactions on Multimedia, vol. 11, no. 1, 2009, pp. 89-100. https://doi.org/10.1109/TMM.2008.2008924
- F. Gers, J. Schmidhuber, and F. Cummins, "Learning to Forget: Continual Prediction with LSTM," Neural Computation, vol. 12, no. 10, 2000, pp. 2451-2471. https://doi.org/10.1162/089976600300015015
- A. Graves, J. Schmidhuber, "Framewise Phoneme Classification with bidirectional LSTM and other neural network architectures," Neural Networks, vol. 18, no. 5-6, 2005, pp. 602-610. https://doi.org/10.1016/j.neunet.2005.06.042
- A. Kumar and H. Daume III, "A Co-training Approach for Multi-view Spectral Clustering," Proc. Inter. Conf. Machine Learning, 2011.
- ImageNet Large Scale Visual Recognition Challenge, http://www.image-net.org/challenges/LSVRC/
- A. Krizhevsky, I. Sutskever, and G.E. Hinton, "ImageNet Classification with Deep Convolutional Neural Networks," Advances in Neural Information Processing Systems 25, 2012, pp. 1097-1105.
- M. Tapaswi, M. Bauml, and R. Stiefelhagen, "Knock! Knock! Who is it? Probabilistic Person Identification in TV-Series," Proc. IEEE Conf. Computer Vision and Pattern Recognition, June 2012, pp. 2658-2665.
- J.W. Son, A. Lee, and S.J. Kim, "Knowledge Construction for the Broadcasting Content by Using Audience Oriented Data," Proc. IEEE/WIC/ACM Inter. Conf. Web Intelligence and Intelligent Agent Technology, 2015, pp. 89-92.
- T. Masuda et al., "Video Scene Retrieval Using Online Video Annotation," New Fromtiers in Aritificial Intelligence, vol. 4914, 2008, pp. 54-62.
- S.A. Bhat et al., "Overview of Existing Content Based Video Retrieval Systems," Inter. J. Advanced Engineering and Global Technology, vol. 2, no. 2, 2014, pp. 476-483.
- A. Francois et al., "VERL: An Ontology Framework for Representing and Annotating Video Events," IEEE Multi-Media, vol. 12, no. 4, Oct.-Dec. 2005, pp. 76-86. https://doi.org/10.1109/MMUL.2005.87
- V. Ramanathan, P. Liang, and L. Fei, " Video Event Understanding Using Natural Language Descriptions," Proc. IEEE Inter. Conf. Computer Vision, Dec. 2013, pp. 905-912.
- D. Blei, A. Ng, and M. Jordan, "Latent Dirichlet Allocation," J. Machine Learning Research, vol. 3, 2003, pp. 993-1022.
- P. Das et al., "A Thousand Frames in Just a Few Words: Lingual Description of Videos through Latent Topics and Sparse Object Stitching," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2013, pp. 2634-2641.