랜덤 워크를 이용한 영상 멀티미디어 데이터의 중요도 검출 연구

  • 심재영 (UNIST 전기전자컴퓨터공학부)
  • 발행 : 2015.05.25

초록

키워드

참고문헌

  1. A. M. Treisman and G. Gelade, "A feature integration theory of attention," Cognitive Psychol., vol. 12, no. 1, pp. 97-136, 1980. https://doi.org/10.1016/0010-0285(80)90005-5
  2. S. Goferman, L. Zelnik-Manor, and A. Tal, "Context-aware saliency detection," in Proc. IEEE CVPR, 2010, pp. 2376-2383.
  3. C. Guo and L. Zhang, "A novel multiresolution spatiotemporal saliency detection model and its applications in image and video compression," IEEE Trans. Image Process., vol. 19, no. 1, pp. 185-198, Jan. 2010. https://doi.org/10.1109/TIP.2009.2030969
  4. J. Han, K. N. Ngan, M. Li, and H.-J. Zhang, "Unsupervised extraction of visual attention objects in color images," IEEE Trans. Circuits Syst. Video Technol., vol. 16, no. 1, pp. 141-145, Jan. 2006. https://doi.org/10.1109/TCSVT.2005.859028
  5. U. Rutishauser, D. Walther, C. Koch, and P. Perona, "Is bottomup attention useful for object recognition," in Proc. IEEE CVPR, Jun.-Jul. 2004, pp. II-37-II-44.
  6. J.-S. Kim, J.-Y. Sim, and C.-S. Kim, "Multiscale saliency detection using random walk with restart," IEEE Trans. Circuits Syst. Video Technol., vol. 24, no. 2, pp. 198-210, Jun. 2013. https://doi.org/10.1109/TCSVT.2013.2270366
  7. H. Kim, Y. Kim, J.-Y. Sim, and C.-S. Kim, "Spatiotemporal saliency detection for video sequences based on random walk with restart," IEEE Trans. Image Process., 2015 (online publication, doi:10.1109/TIP.2015.2425544).
  8. S.-W. Jeong and J.-Y. Sim, "Multiscale saliency detection for 3D meshes using random walk," in Proc. APSIPA ASC, Siem Dec. 2014.
  9. R. B. Bapat and T. E. S. Raghavan, Nonnegative matrices and applications. U.K.: Cambridge University Press, 1997.
  10. L. Page, S. Brin, R. Motwani, and T. Winograd, "The PageRank citation ranking: bringing order to the web," Technical Report, Stanford InfoLab., 1999.
  11. L. Itti, C. Koch, and E. Niebur, "A model of saliency-based visual attention for rapid scene analysis," IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 11, pp. 1254-1259, Nov. 1998. https://doi.org/10.1109/34.730558
  12. H. J. Seo and P. Milanfar, "Nonparametric bottom-up saliency detection by self-resemblance," in Proc. IEEE CVPR Workshop, 2009, pp. 45-52.
  13. W. Kim, C. Jung, and C. Kim, "Spatiotemporal saliency detection and its applications in static and dynamic scenes," IEEE Trans. Circuits Syst. Video Technol., vol. 21, no. 4, pp. 446-456, Apr. 2011. https://doi.org/10.1109/TCSVT.2011.2125450
  14. A. Borji and L. Itti, "Exploiting local and global patch rarities for saliency detection," in Proc. IEEE CVPR, 2012, pp. 478-485.
  15. R. Achanta, S. Hemami, F. Estrada, and S. S ㅉㅟㄲsstrunk, "Frequency-tuned salient region detection," in Proc. IEEE CVPR, Jun. 2009, pp. 1597-1604.
  16. M.-M. Cheng, G.-X. Zhang, N. J. Mitra, X. Haung, and S.-M. Hu, "Global contrast based salient region detection," in Proc. IEEE CVPR, Jun. 2011, pp. 409-416.
  17. Q. Yan, L. Xu, J. Shi, and J. Jia, "Hierarchical saliency detection," in Proc. IEEE CVPR, 2013, pp. 1155-1162.
  18. X. Hou and L. Zhang, "Saliency detection: A spectral residual approach," in Proc. IEEE CVPR, 2007, pp. 1-8.
  19. C. Guo, Q. Ma, and L. Zhang, "Spatio-temporal saliency detection using phase spectrum of quaternion Fourier transform," in Proc. IEEE CVPR, 2008, pp. 1-8.
  20. C. Guo and L. Zhang, "A novel multiresolution spatiotemporal saliency detection model and its applications in image and video compression," IEEE Trans. Image Process., vol. 19, no. 1, pp. 185-198, Jan. 2010. https://doi.org/10.1109/TIP.2009.2030969
  21. B. Schauerte and R. Stiefelhagen, "Quaternion-based spectral saliency detection for eye fixation prediction," in Proc. ECCV, 2012, pp. 116-129.
  22. L. da Fontoura Costa, "Visual saliency and attention as random walks on complex networks," 2007, [Online]http://arxiv.org/abs/physics/0603025v2.
  23. J. Harel, C. Koch, and P. Perona, "Graph-based visual saliency," in Proc. Adv. Neural Inf. Process. Syst., 2006, pp. 545-552.
  24. V. Gopalakrishnan, Y. Hu, and D. Rajan, "Random walks on graphs to model saliency in images," in Proc. IEEE CVPR, 2009, pp. 1698-1705.
  25. V. Gopalakrishnan, Y. Hu, and D. Rajan, "Random walks on graphs for salient object detection in images," IEEE Trans. Image Process., vol. 19, no. 12, pp. 3232-3242, Dec. 2010. https://doi.org/10.1109/TIP.2010.2053940
  26. W. Wang, Y. Wang, Q. Huang, and W. Gao, "Measuring visual saliency by site entropy rate," in Proc. IEEE CVPR, 2010, pp. 2368-2375.
  27. M. Ebner, Color Constancy. New York, NY, USA: Wiley, 2007.
  28. E. Rahtu, J. Kannala, M. Salo, and J. Heikkila, "Segmenting salient objects from images and videos," in ECCV, pp. 366-379, 2010.
  29. Y. Wei, F. Wen, W. Zhu, and J. Sun, "Geodesic saliency using background priors," in ECCV, 2012.
  30. F. Perazzi1, P. Krahenbul, Y. Pritch, and A. Hornung, "Saliency filters: Contrast based filtering for salient region detection," in Proc. IEEE CVPR, Jun. 2012, pp. 733-740.
  31. Y. Xie, H. Lu, M. Yang, "Bayesian saliency via low and mid level cues," IEEE Trans. Image Process., vol. 22, no. 5, pp. 1689-1698, May 2013. https://doi.org/10.1109/TIP.2012.2216276
  32. C. Yang, L. Zhang, H. Lu, X. Ruan, and M. H. Yang, "Saliency detection via graph-based manifold ranking," in Proc. IEEE CVPR, Jun. 2013, pp. 3166-3173.
  33. M.-M. Cheng, J. Warrell, W.-Y. Lin, S. Zheng, V. Vineet, and N. Crook, "Efficient salient region detection with soft image abstraction," in Proc. IEEE ICCV, 2013, pp. 1529-1536.
  34. D. Walther and C. Koch, "Modeling attention to salient protoobjects," Neural Netw., vol. 19, no. 9, pp. 1395-1407, 2006. https://doi.org/10.1016/j.neunet.2006.10.001
  35. J. Harel, C. Koch, and P. Perona, "Graph-based visual saliency," in Proc. Adv. Neural Inf. Process. Syst, 2006, pp. 545-552.
  36. H. J. Seo and P. Milanfar, "Static and space-time visual saliency detection by self-resemblance," J. Vision, vol. 9, no. 12, pp. 1-27, Nov. 2009.
  37. Y. Li, Y. Zhou, L. Xu, X. Yang, and J. Yang, "Incremental sparse saliency detection," in Proc. IEEE ICIP, Nov. 2009, pp. 3093-3096.
  38. MPEG DB, http://media.xiph.org/video/derf/
  39. NTT DB, http://www.brl.ntt.co.jp/people/akisato/saliency3.html
  40. S. Goferman, L. Zelnik-Manor, and A. Tal, "Context-aware saliency detection," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 10, pp. 1915-1926, Oct. 2012. https://doi.org/10.1109/TPAMI.2011.272
  41. Y. Xue, X. Guo, and X. Cao, "Motion saliency detection using lowrank and sparse decomposition," in Proc. IEEE ICASSP, Mar. 2012, pp. 1485-1488.
  42. J.-S. Kim, H. Kim, J.-Y. Sim, C.-S. Kim, and S.-U. Lee, "Video saliency detection based on random walk with restart," in Proc. IEEE ICIP, Sep. 2013, pp. 2465-2469.
  43. C. H. Lee, A. Varshney, and D. W. Jacobs, "Mesh saliency," ACM Trans. Graph., vol. 24, no. 3, pp. 659-666, Jul. 2005. https://doi.org/10.1145/1073204.1073244
  44. G. Leifman, E. Shtrom, and A. Tal, "Surface regions of interest for viewpoint selection," in IEEE CVPR, June 2012, pp. 414-421.
  45. R. Song, Y. Liu, R. R. Martin, and P. L. Rosin, "Mesh saliency via spectral processing," ACM Trans. Graph., vol. 33, no. 1, pp. 6:1-6:17, Feb. 2014.