클립형 미디어 서비스를 위한 동영상 자동 축약 기술 동향 및 신규 서비스 예측

  • Published : 2018.01.30

Abstract

Keywords

Acknowledgement

Grant : 지상파 UHD 방송 기반 융합플랫폼 및 서비스 기술 개발

Supported by : 정보통신기술진흥센터

References

  1. Gygli, M., Grabner, H., Van Gool, L.: Video summarization by learning submodular mixtures of objectives. In: CVPR (2015)
  2. Zhang, K., Chao, W.l., Sha, F., Grauman, K.: Summary transfer: exemplar-based subset selection for video summarization. In: CVPR (2016)
  3. M. Gygil, etc., Creating Summaries from User Video, ECCV2014, pp 505-520
  4. X. Hou, J. Harel and C. Koch, Image Signature: Highlighting Sparse Salient Regions, in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 1, pp. 194-201, Jan. 2012. https://doi.org/10.1109/TPAMI.2011.146
  5. N. Ejaz, I. Mehmood, SW Baik, Efficient visual attention based framework for extracting key frames from videos, in Signal Processing: Image Communication 28 (1), 34-44, Jan. 2013. https://doi.org/10.1016/j.image.2012.10.002
  6. Y. Ke, X. Tang and F. Jing, The Design of High-Level Features for Photo Quality Assessment, in CVPR, 2006.
  7. Viola, P., Jones, M.: Robust real-time face detection. IJCV (2004)
  8. Felzenszwalb, P.F., Girshick, R.B., McAllester, D., Ramanan, D.: Object detection with discriminatively trained part based models. PAMI (2010)
  9. Herbert Bay, Andreas Ess, Tinne Tuytelaars, Luc Van Gool SURF: Speeded Up Robust Features, Computer Vision and Image Understanding (CVIU), Vol. 110, No. 3, pp. 346 -359, 2008. https://doi.org/10.1016/j.cviu.2007.09.014
  10. B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, and A. Torralba. Learning deep features for discriminative localization, CVPR 2016.
  11. R Panda, A Das, Z Wu, J Ernst, AK Roy-Chowdhury, Weakly supervised summarization of web videos, 2017 IEEE International Conference on Computer Vision (ICCV), 3677-3686
  12. A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012.
  13. D. Tran, L. D. Bourdev, R. Fergus, L. Torresani, and M. Paluri. Learning spatiotemporal features with 3d convolutional networks. In ICCV, 2015.
  14. T. Yao, T. Mei, and Y. Rui. Highlight detection with pairwise deep ranking for first-person video summarization. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 982-990, 2016.
  15. M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. J. Goodfellow, A. Harp, G. Irving, M. Isard, Y. Jia, R. Jozefowicz, L. Kaiser, M. Kudlur, J. Levenberg, D. Mane, R. Monga, S. Moore, D. G. Murray, C. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. A. Tucker, V. Vanhoucke, V. Vasudevan, F. B. Viegas, O. Vinyals, P. Warden, M. Wattenberg, M. Wicke, Y. Yu, and X. Zheng., TensorFlow:Large-scale machine learning on heterogeneous distributed systems, arXiv preprint, 1603.04467, 2016. arxiv.org/abs/1603.04467. Software available from tensorflow.org.
  16. Joseph Redmon, "Darknet: Open Source Neural Networks in C," Software available from http://pjreddie.com/darknet/, 2013-2016.
  17. S. Ren, K. He, R. Girshick, and J. Sun. Faster R-CNN: Towards real-time object detection with region proposal networks. In NIPS, 2015.
  18. W. Liu, D. Anguelov, D. Erhan, C. Szegedy, and S. E. Reed. SSD: single shot multibox detector. CoRR, abs/1512.02325, 2015.
  19. COCO:Common Objects in Context (2016). http://mscoco.org/dataset/#detections-leaderboard. Accessed 25 July 2016.
  20. J. Redmon, S. Divvala, R. Girshick, and A. Farhadi. You only look once: Unified, real-time object detection. arXiv preprint arXiv:1506.02640, 2015.
  21. 이동관, 지상파 UHD 현황 및 부가서비스, 방송과 기술, 14 Oct. 2016.