$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

Saliency Detection based on Global Color Distribution and Active Contour Analysis 원문보기

KSII Transactions on internet and information systems : TIIS, v.10 no.12, 2016년, pp.5507 - 5528  

Hu, Zhengping (School of Information Science and Engineering & Yanshan University) ,  Zhang, Zhenbin (School of Information Science and Engineering & Yanshan University) ,  Sun, Zhe (School of Information Science and Engineering & Yanshan University) ,  Zhao, Shuhuan (School of Information Science and Engineering & Yanshan University)

Abstract AI-Helper 아이콘AI-Helper

In computer vision, salient object is important to extract the useful information of foreground. With active contour analysis acting as the core in this paper, we propose a bottom-up saliency detection algorithm combining with the Bayesian model and the global color distribution. Under the supports ...

주제어

참고문헌 (38)

  1. J. Han, D. Zhang, X. Hu and L. Guo, "Background Prior-Based Salient Object Detection via Deep Reconstruction Residual," IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 8, pp. 1309-1321, Aug. 2015. 

  2. J. Han, D. Zhang, X. Hu and L.Guo, "Two-Stage Learning to Predict Human Eye Fixations via SDAEs," IEEE Transactions on Cybernetics, vol. 46, no. 2, pp. 487-498, Feb. 2016. 

  3. S. Lu, V. Mahadevan and N. Vasconcelos, "Learning Optimal Seeds for Diffusion-Based Salient Object Detection," in Proc. of IEEE Computer Vision and Pattern Recognition, pp. 2790-2797, June 23-28, 2014. 

  4. F. Perazzi, P. Krahenbuhl, Y. Pritch and A. Hornung, "Saliency filters: Contrast based filtering for salient region detection," in Proc. of IEEE Computer Vision and Pattern Recognition, pp. 733-740, June 16-21, 2012. 

  5. L. Zhang, M. Tong, T. Marks, H. Shan, and G. Cottrell, "Sun: A Bayesian framework for saliency using natural statistics," Journal of Vision, vol. 8, no. 7, pp. 1-20, December, 2008. 

  6. Y. Xie and H. Lu, "Visual saliency detection based on Bayesian model," in Proc. of IEEE International Conference on Image Processing, pp. 645-648, Sept 11-14, 2011. 

  7. C. Yang, L. Zhang and H. Lu, "Graph-Regularized Saliency Detection With Convex-Hull-Based Center Prior," IEEE Signal Processing Letters, vol. 20, no. 7, pp. 637-640, July, 2013. 

  8. R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua and S. Susstrunk, "Slic superpixels," in Proc. of EPFL, 2010. 

  9. J. Sun, H. Lu and X. Liu, "Saliency Region Detection based on Markov Absorption Probabilities," IEEE Transactions on Image Processing, vol. 24, no. 5, pp. 1639-1649, May, 2015. 

  10. J. Wang, H. Lu, X. Li, N. Tong and W. Liu, "Saliency detection via background and foreground seed selection," Neurocomputing, vol. 152, pp. 359-368, October, 2015. 

  11. R. Achanta, F. Estrada, P. Wils and S. Susstrunk, "Salient region detection and segmentation," in Proc. of Computer Vision Systems, pp. 66-75, May 12-15, 2008. 

  12. J.-S. Kim, J.-Y. Sim and C.-S. Kim, "Multiscale Saliency Detection Using Random Walk With Restart," IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 2, pp. 198-210, Feb. 2014. 

  13. B. Jiang, L. Zhang, H. Lu, C. Yang and M.-H. Yang, "Saliency detection via absorbing Markov chain," in Proc. of IEEE Computer Vision, pp.1665-1672, December 1-8, 2013. 

  14. H. Ren, Z. Su, C. Lv and F. Zou, "An improved algorithm for active contour extraction based on greedy snake," in Proc. of IEEE Computer and Information Science, pp. 589-592, June 28-July 1, 2015. 

  15. S. Osher and J.A. Sethian, "Fronts Propagating with Curvature Dependent Speed: Algorithms Based on Hamilton-Jacobi Formulations," in Proc. of Journal of Computational Physics, vol. 79, no. 1, pp.12-49, 1988. 

  16. C. Li, C. Xu, C. Gui and M.D. Fox, "Level Set Evolution Without Re-initialization: A New Variational Formulation," in Proc. of IEEE Computer Vision and Pattern Recognition, pp.430-436, June 20-25, 2005. 

  17. D. Zhang, J. Han, C. Li and J. Wang, "Co-saliency detection via looking deep and wide," in Proc. of IEEE Computer Vision and Pattern Recognition, pp. 2994-3002, June 7-12, 2015. 

  18. H. Fu, X. Cao and Z. Tu, "Cluster-Based Co-Saliency Detection," IEEE Transactions on Image Processing, vol. 22, no.10, pp. 3766-3778, Oct. 2013. 

  19. D. Zhang, J.Han, J. Han and L. Shao, "Cosaliency Detection Based on Intrasaliency Prior Transfer and Deep Intersaliency Mining," IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 6, pp. 1163-1176, June, 2016. 

  20. P. Siva, C. Russell, T. Xiang and L. Agapito, "Looking beyond the image: unsupervised learning for object saliency and detection," in Proc. of IEEE Computer Vision and Pattern Recognition, pp.3238-3245, June 23-28, 2013. 

  21. J. Han, D. Zhang, G. Cheng and L. Guo, "Object detection in optical remote sensing images based on weakly supervised learning and high-level feature learning," IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 6, pp. 3325-3337, June, 2015. 

  22. M.-M. Cheng, G.-X. Zhang, N.J. Mitra, X. Huang and S.-M. Hu, "Global contrast based salient region detection," in Proc. of IEEE Computer Vision and Pattern Recognition, pp. 569 -582, June 20-25, 2011. 

  23. V. Saminadan, P. Aishwarya, M. Manimegalai, M. Nivedhitha and G. Subhapriya, "Efficient image dehazing based on pixel based dark channel prior and guided filter," in Proc. of Communications and Signal Processing, pp.1925-1927, April 2-4, 2015. 

  24. Z. Wang and B. Li, "A two-stage approach to saliency detection in images," in Proc. of IEEE Acoustics, Speech and Signal Processing, pp. 965- 968, March 31-April 4, 2008. 

  25. Shi, Q. Yan, L. Xu and J. Jia, "Hierarchical Image Saliency Detection on Extended CSSD," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 38, no. 4, pp. 717-729, April, 2015. 

  26. Yan, L. Xu, J. Shi and J. Jia, "Hierarchical Saliency Detection," in Proc. of IEEE Computer Vision and Pattern Recognition, pp. 1155-1162, June 23-28, 2013. 

  27. A. Borji, M-M. Cheng, H. Jiang and J. Li, "Salient Object Detection: A Benchmark," IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5706-5722, Dec. 2015. 

  28. X. Shen and Y. Wu, "A unified approach to salient object detection via low rank matrix recovery," in Proc. of IEEE Computer Vision and Pattern Recognition, pp.853-860, June 16-21, 2012. 

  29. R. Achanta, S.S. Hemami, F.J. Estrada and S. Susstrunk, "Frequency-tuned salient region detection," in Proc. of IEEE Computer Vision and Pattern Recognition, pp.1597-1604, June 20-25, 2009. 

  30. X. Li, H. Lu, L. Zhang, X. Ruan and M-H. Yang, "Saliency Detection via Dense and Sparse Reconstruction," in Proc. of IEEE Computer Vision, pp. 2976-2983, December 1-8, 2013. 

  31. X. Hou and L. Zhang, "Saliency detection: a spectral residual approach," in Proc. of IEEE Computer Vision and Pattern Recognition, pp. 1-8, June 17-22, 2007. 

  32. H. R. Tavakoli, E. Rahtu, and J. Heikkila, "Fast and efficient saliency detection using sparse sampling and kernel density estimation," in Proc. of Image Analysis-scandinavian Conference, pp. 666-675, May, 2011. 

  33. H. J. Seo and P. Milanfar, "Static and space-time visual saliency detection by self-resemblance," Journal of Vision, vol. 9, no. 12 pp. 1-27, November, 2009. 

  34. N. Murray, M. Vanrell, X. Otazu, and C. A. Parraga, "Saliency estimation using a non-parametric low-level vision model," in Proc. of IEEE Computer Vision and Pattern Recognition, pp. 433-440, June 20-25, 2011. 

  35. 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. of IEEE Computer Vision, pp.1529-1536, December 1-8, 2013. 

  36. H. Jiang, J. Wang, Z. Yuan, T. Liu, N. Zheng and S. Li, "Automatic salient object segmentation based on context and shape prior," in Proc. of British Machine Vision Conference, pp. 1-12, September, 2011. 

  37. E. Rahtu, J. Kannala, M. Salo and J. Heikkila, "Segmenting salient objects from images and videos," in Proc. of European Conference on Computer Vision, pp. 366-379, September 5-11, 2010. 

  38. J. Harel, C. Koch and P. Perona, "Graph-based visual saliency," in Proc. of Neural Information Processing Systems, pp. 54-552, 2007. 

관련 콘텐츠

오픈액세스(OA) 유형

GOLD

오픈액세스 학술지에 출판된 논문

저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로