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Volumn 19, Issue 12, 2010, Pages 3232-3242

Random walks on graphs for salient object detection in images

Author keywords

Graph modeling; random walks; semisupervised learning; visual saliency

Indexed keywords

AUTOMATIC LABELING; COMPLETE GRAPHS; GLOBAL PROPERTIES; GRAPH MODEL; GRAPH MODELING; GRAPH REPRESENTATION; HITTING TIME; LOCAL PROPERTY; LOCALLY COMPACT; RANDOM WALK; REGULAR GRAPHS; SALIENT OBJECT DETECTION; SEMI-SUPERVISED LEARNING; SOFT CONSTRAINT; VISUAL SALIENCY; WEIGHTED GRAPH;

EID: 78649256287     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2010.2053940     Document Type: Article
Times cited : (177)

References (27)
  • 3
    • 2942739263 scopus 로고    scopus 로고
    • A visual attention model for adapting images on small displays
    • L. Q. Chen, X. Xie, X. Fan, W. Y. Ma, H. J. Zhang, and H. Q. Zhou, "A visual attention model for adapting images on small displays", Multimedia Syst., vol. 9, no. 4, pp. 353-364, 2003.
    • (2003) Multimedia Syst. , vol.9 , Issue.4 , pp. 353-364
    • Chen, L.Q.1    Xie, X.2    Fan, X.3    Ma, W.Y.4    Zhang, H.J.5    Zhou, H.Q.6
  • 5
    • 75749110897 scopus 로고    scopus 로고
    • Interactive image segmentation using probabilistic hypergraphs
    • May
    • L. Ding and A. Yilmaz, "Interactive image segmentation using probabilistic hypergraphs", Pattern Recognit., vol. 43, no. 5, pp. 1863-1873, May 2010.
    • (2010) Pattern Recognit. , vol.43 , Issue.5 , pp. 1863-1873
    • Ding, L.1    Yilmaz, A.2
  • 7
    • 27244455262 scopus 로고    scopus 로고
    • Goal-directed search with a top-down modulated computational attention system
    • S. Frintrop, G. Backer, and E. Rome, "Goal-directed search with a top-down modulated computational attention system", in Proc. DAGM, 2005, pp. 117-124.
    • (2005) Proc. DAGM , pp. 117-124
    • Frintrop, S.1    Backer, G.2    Rome, E.3
  • 8
    • 24644509218 scopus 로고    scopus 로고
    • Discriminant saliency for visual recognition from cluttered scenes
    • D. Gao and N. Vasconcelos, "Discriminant saliency for visual recognition from cluttered scenes", in Proc. Adv. Neural Inf. Process. Syst, 2004, pp. 481-488.
    • (2004) Proc. Adv. Neural Inf. Process. Syst , pp. 481-488
    • Gao, D.1    Vasconcelos, N.2
  • 10
    • 68549085212 scopus 로고    scopus 로고
    • Salient region detection by modeling distributions of color and orientation
    • Aug
    • V. Gopalakrishnan, Y. Hu, and D. Rajan, "Salient region detection by modeling distributions of color and orientation", IEEE Trans. Multimedia, vol. 11, no. 5, pp. 892-905, Aug. 2009.
    • (2009) IEEE Trans. Multimedia , vol.11 , Issue.5 , pp. 892-905
    • Gopalakrishnan, V.1    Hu, Y.2    Rajan, D.3
  • 13
    • 51949107445 scopus 로고    scopus 로고
    • Spatio-temporal saliency detection using phase spectrum of quaternion fourier transform
    • C. Guo, Q. Ma, and L. Zhang, "Spatio-temporal saliency detection using phase spectrum of quaternion fourier transform", in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2008, pp. 1-8.
    • (2008) Proc. IEEE Conf. Comput. Vis. Pattern Recognit. , pp. 1-8
    • Guo, C.1    Ma, Q.2    Zhang, L.3
  • 15
    • 0032204063 scopus 로고    scopus 로고
    • Amodel of saliency-based visual attention for rapid scene analysis
    • Nov
    • L. Itti, C. Koch, and E. Niebur, "Amodel of saliency-based visual attention for rapid scene analysis", IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 11, pp. 1254-1259, Nov. 1998.
    • (1998) IEEE Trans. Pattern Anal. Mach. Intell. , vol.20 , Issue.11 , pp. 1254-1259
    • Itti, L.1    Koch, C.2    Niebur, E.3
  • 16
    • 0035507681 scopus 로고    scopus 로고
    • Saliency, scale and image description
    • T. Kadir and M. Brady, "Saliency, scale and image description", Int. J. Comput. Vis., vol. 45, no. 2, pp. 83-105.
    • Int. J. Comput. Vis. , vol.45 , Issue.2 , pp. 83-105
    • Kadir, T.1    Brady, M.2
  • 18
    • 33645236179 scopus 로고    scopus 로고
    • A coherent computational approach to model bottom-up visual attention
    • May
    • O. L. Meur, P. L. Callet, D. Barba, and D. Thoreau, "A coherent computational approach to model bottom-up visual attention", IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 5, pp. 802-817, May 2006.
    • (2006) IEEE Trans. Pattern Anal. Mach. Intell. , vol.28 , Issue.5 , pp. 802-817
    • Meur, O.L.1    Callet, P.L.2    Barba, D.3    Thoreau, D.4
  • 19
    • 0003781238 scopus 로고    scopus 로고
    • Cambridge, U. K.: Cambridge Univ. Press
    • J. Norris, Markov Chains. Cambridge, U. K.: Cambridge Univ. Press, 1997.
    • (1997) Markov Chains
    • Norris, J.1
  • 23
    • 65249098182 scopus 로고    scopus 로고
    • Attention based auto image cropping
    • Online. Available
    • F. Stentiford, "Attention based auto image cropping", in Proc. 5th Int. Conf. Comput. Vis. Syst., 2007 [Online]. Available: http://biecoll.ub. uni-bielefeld.de/volltexte/2007/73
    • (2007) Proc. 5th Int. Conf. Comput. Vis. Syst.
    • Stentiford, F.1
  • 24
    • 33750684017 scopus 로고    scopus 로고
    • Modeling attention to salient proto-objects
    • D. Walther and C. Koch, "Modeling attention to salient proto-objects", Neural Netw., vol. 19, pp. 1395-1407, 2006.
    • (2006) Neural Netw. , vol.19 , pp. 1395-1407
    • Walther, D.1    Koch, C.2
  • 25
    • 11244335585 scopus 로고    scopus 로고
    • Data-driven approach for bridging the cognitive gap in image retrieval
    • X. J. Wang, W. Y. Ma, and X. Li, "Data-driven approach for bridging the cognitive gap in image retrieval", in Proc. IEEE Int. Conf. Multimedia Expo, 2004, pp. 2231-2234.
    • (2004) Proc. IEEE Int. Conf. Multimedia Expo , pp. 2231-2234
    • Wang, X.J.1    Ma, W.Y.2    Li, X.3
  • 27
    • 1942484430 scopus 로고    scopus 로고
    • Semi-supervised learning using gaussian fields and harmonic functions
    • X. Zhu, Z. Ghahramani, and J. Lafferty, "Semi-supervised learning using gaussian fields and harmonic functions", in Proc. Int. Conf. Mach. Learn., 2003, pp. 912-919.
    • (2003) Proc. Int. Conf. Mach. Learn. , pp. 912-919
    • Zhu, X.1    Ghahramani, Z.2    Lafferty, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.