메뉴 건너뛰기




Volumn 175, Issue PartA, 2016, Pages 336-347

Robust manifold-preserving diffusion-based saliency detection by adaptive weight construction

Author keywords

Graph based diffusion; Manifold; Saliency map; Salient object detection

Indexed keywords

COMPUTATIONAL GEOMETRY; GRAPH STRUCTURES; GRAPHIC METHODS; IMAGE SEGMENTATION; OBJECT DETECTION; OBJECT RECOGNITION; RANDOM PROCESSES;

EID: 84964937302     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2015.10.066     Document Type: Article
Times cited : (14)

References (54)
  • 2
    • 84870220894 scopus 로고    scopus 로고
    • State-of-the-art in visual attention modeling, IEEE Trans. Pattern Anal. Mach. Intell. (PAMI) 35 (1) (2013) 185–207
    • [2] A. Borji, L. Itti, State-of-the-art in visual attention modeling, IEEE Trans. Pattern Anal. Mach. Intell. (PAMI) 35 (1) (2013) 185–207.
    • Borji, A.1    Itti, L.2
  • 3
    • 35148814949 scopus 로고    scopus 로고
    • Saliency detection: a spectral residual approach,
    • [3] X. Hou, L. Zhang, Saliency detection: a spectral residual approach, In: CVPR, 2007.
    • (2007) CVPR
    • Hou, X.1    Zhang, L.2
  • 4
    • 79952521969 scopus 로고    scopus 로고
    • Segmenting Salient Objects from Images and Videos,
    • [4] E. Rahtu, J. Kannala, M. Salo, J. Heikkila, Segmenting Salient Objects from Images and Videos, In: ECCV, 2010.
    • (2010) ECCV
    • Rahtu, E.1    Kannala, J.2    Salo, M.3    Heikkila, J.4
  • 5
    • 84863052350 scopus 로고    scopus 로고
    • Automatic Salient Object Extraction with Contextual Cue,
    • [5] L. Wang, J. Xue, N. Zheng, G. Hua, Automatic Salient Object Extraction with Contextual Cue, In: ICCV, 2011.
    • (2011) ICCV
    • Wang, L.1    Xue, J.2    Zheng, N.3    Hua, G.4
  • 7
    • 77953210642 scopus 로고    scopus 로고
    • A framework for visual saliency detection with applications to image thumbnailing, In: ICCV, 2009.
    • [7] L. Marchesotti, et al., A framework for visual saliency detection with applications to image thumbnailing, In: ICCV, 2009.
    • Marchesotti, L.1
  • 8
    • 80052908132 scopus 로고    scopus 로고
    • Importance filtering for image retargeting,
    • [8] Y. Ding, X. Jing, J. Yu, Importance filtering for image retargeting, In: CVPR, 2011.
    • (2011) CVPR
    • Ding, Y.1    Jing, X.2    Yu, J.3
  • 9
    • 77956008283 scopus 로고    scopus 로고
    • Context-aware saliency detection, In: CVPR, 2010.
    • [9] S. Goferman, et al., Context-aware saliency detection, In: CVPR, 2010.
    • Goferman, S.1
  • 10
    • 77749271171 scopus 로고    scopus 로고
    • Sketch2photo: internet image montage
    • [10] Chen, T., Cheng, M., et al. Sketch2photo: internet image montage. ACM Trans. Graph 28:5 (2006), 1–10.
    • (2006) ACM Trans. Graph , vol.28 , Issue.5 , pp. 1-10
    • Chen, T.1    Cheng, M.2
  • 11
    • 34547210110 scopus 로고    scopus 로고
    • Visual attention detection in video sequences using spatiotemporal cues
    • [11] Zhai, Y., Shah, M., Visual attention detection in video sequences using spatiotemporal cues. ACM Multimed., 2006, 815–824.
    • (2006) ACM Multimed. , pp. 815-824
    • Zhai, Y.1    Shah, M.2
  • 13
    • 80052948224 scopus 로고    scopus 로고
    • Global contrast based salient region detection,
    • [13] M. Cheng, G. Zhang, N. Mitra, X. Huang, S. Hu, Global contrast based salient region detection, In: CVPR, 2011.
    • (2011) CVPR
    • Cheng, M.1    Zhang, G.2    Mitra, N.3    Huang, X.4    Hu, S.5
  • 14
    • 84898491541 scopus 로고    scopus 로고
    • Automatic salient object segmentation based on context and shape prior, In: BMVC, 2011.
    • [14] H. Jiang, J. Wang, et al., Automatic salient object segmentation based on context and shape prior, In: BMVC, 2011.
    • Jiang, H.1    Wang, J.2
  • 15
    • 84866667038 scopus 로고    scopus 로고
    • Saliency filters: contrast based filtering for salient region detection, In: CVPR, 2012.
    • [15] F. Perazzi, P. Krahenbul, et al., Saliency filters: contrast based filtering for salient region detection, In: CVPR, 2012.
    • Perazzi, F.1    Krahenbul, P.2
  • 16
    • 84933044434 scopus 로고    scopus 로고
    • Pisa: pixelwise image saliency by aggregating complementary appearance contrast measures with edge-preserving coherence, IEEE Trans. Image Process. (IP) 24 (10) (2015) 3019–3033
    • [16] K. Wang, L. Lin, J. Lu, C. Li, K. Shi, Pisa: pixelwise image saliency by aggregating complementary appearance contrast measures with edge-preserving coherence, IEEE Trans. Image Process. (IP) 24 (10) (2015) 3019–3033.
    • Wang, K.1    Lin, L.2    Lu, J.3    Li, C.4    Shi, K.5
  • 17
    • 84887392014 scopus 로고    scopus 로고
    • Salient object detection: a discriminative regional feature integration approach, In: CVPR, 2013.
    • [17] H. Jiang, et al., Salient object detection: a discriminative regional feature integration approach, In: CVPR, 2013.
    • Jiang, H.1
  • 18
    • 78650512633 scopus 로고    scopus 로고
    • Learning to detect a salient object
    • [18] Liu, T., Yuan, Z., Sun, J., Wang, J., Zheng, N., Learning to detect a salient object. TPAMI 33:2 (2011), 353–367.
    • (2011) TPAMI , vol.33 , Issue.2 , pp. 353-367
    • Liu, T.1    Yuan, Z.2    Sun, J.3    Wang, J.4    Zheng, N.5
  • 19
    • 84887368846 scopus 로고    scopus 로고
    • Saliency aggregation: a data-driven approach,
    • [19] L. Mai, Y. Niu, F. Liu, Saliency aggregation: a data-driven approach, In: CVPR, 2013.
    • (2013) CVPR
    • Mai, L.1    Niu, Y.2    Liu, F.3
  • 21
    • 84887322898 scopus 로고    scopus 로고
    • Hierarchical saliency detection, In: CVPR, 2013.
    • [21] Q. Yan, et al., Hierarchical saliency detection, In: CVPR, 2013.
    • Yan, Q.1
  • 22
    • 84898797836 scopus 로고    scopus 로고
    • Efficient salient region detection with soft image abstraction, In: ICCV, 2013.
    • [22] M. Cheng, J. Warrell, et al., Efficient salient region detection with soft image abstraction, In: ICCV, 2013.
    • Cheng, M.1    Warrell, J.2
  • 24
    • 78649256287 scopus 로고    scopus 로고
    • Random walks on graphs for salient object detection in images
    • [24] Gopalakrishnan, V., et al. Random walks on graphs for salient object detection in images. TIP 19:12 (2010), 3232–3242.
    • (2010) TIP , vol.19 , Issue.12 , pp. 3232-3242
    • Gopalakrishnan, V.1
  • 25
    • 84887344857 scopus 로고    scopus 로고
    • Geodesic saliency using background priors,
    • [25] Y. Wei, F. Wen, W. Zhu, J. Sun, Geodesic saliency using background priors, In: ECCV, 2012.
    • (2012) ECCV
    • Wei, Y.1    Wen, F.2    Zhu, W.3    Sun, J.4
  • 26
    • 84887357058 scopus 로고    scopus 로고
    • Saliency detection via graph-based manifold ranking, In: CVPR, 2013.
    • [26] C. Yang, L. Zhang, et al., Saliency detection via graph-based manifold ranking, In: CVPR, 2013.
    • Yang, C.1    Zhang, L.2
  • 27
    • 84897788972 scopus 로고    scopus 로고
    • Geodesic saliency propagation for image salient region detection,
    • [27] K. Fu, C. Gong, I. Gu, J. Yang, Geodesic saliency propagation for image salient region detection, In: ICIP, 2013.
    • (2013) ICIP
    • Fu, K.1    Gong, C.2    Gu, I.3    Yang, J.4
  • 28
    • 85119024889 scopus 로고    scopus 로고
    • Learning optimal seeds for diffusion-based salient object detection, In: CVPR, 2014.
    • [28] S. Lu, V. Mahadevan, et al., Learning optimal seeds for diffusion-based salient object detection, In: CVPR, 2014.
    • Lu, S.1    Mahadevan, V.2
  • 29
    • 85020531812 scopus 로고    scopus 로고
    • Learning with local and global consistency, In: NIPS, 2003.
    • [29] D. Zhou, et al., Learning with local and global consistency, In: NIPS, 2003.
    • Zhou, D.1
  • 30
    • 84899013566 scopus 로고    scopus 로고
    • Ranking on data manifolds, In: NIPS, 2004.
    • [30] D. Zhou, et al., Ranking on data manifolds, In: NIPS, 2004.
    • Zhou, D.1
  • 32
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • [32] Roweis, S., Saul, L., Nonlinear dimensionality reduction by locally linear embedding. Science 290:5500 (2000), 2323–2326.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 33
    • 67650998686 scopus 로고    scopus 로고
    • Linear neighborhood propagation and its applications
    • [33] Wang, J., Wang, F., Zhang, C., et al. Linear neighborhood propagation and its applications. IEEE Trans. Pattern Anal. Mach. Intell. 31:9 (2009), 1600–1615.
    • (2009) IEEE Trans. Pattern Anal. Mach. Intell. , vol.31 , Issue.9 , pp. 1600-1615
    • Wang, J.1    Wang, F.2    Zhang, C.3
  • 34
    • 84921030558 scopus 로고    scopus 로고
    • Saliency detection via background and foreground seed selection
    • [34] Wang, J., Lu, H., Li, X., Tong, N., Lei, W., Saliency detection via background and foreground seed selection. Neurocomputing 152 (2015), 359–368.
    • (2015) Neurocomputing , vol.152 , pp. 359-368
    • Wang, J.1    Lu, H.2    Li, X.3    Tong, N.4    Lei, W.5
  • 35
    • 84937874239 scopus 로고    scopus 로고
    • Deep joint task learning for generic object extraction,
    • [35] X. Wang, L. Zhang, L. Lin, Z. Liang, W. Zuo, Deep joint task learning for generic object extraction, In: NIPS, 2014.
    • (2014) NIPS
    • Wang, X.1    Zhang, L.2    Lin, L.3    Liang, Z.4    Zuo, W.5
  • 36
    • 84866672748 scopus 로고    scopus 로고
    • A unified approach to salient object detection via low rank matrix recovery,
    • [36] X. Shen, Y. Wu, A unified approach to salient object detection via low rank matrix recovery, In: CVPR, 2012.
    • (2012) CVPR
    • Shen, X.1    Wu, Y.2
  • 37
    • 84856273418 scopus 로고    scopus 로고
    • Visual saliency detection based on Bayesian model,
    • [37] Y. Xie, H. Lu, Visual saliency detection based on Bayesian model, In: ICIP, 2011.
    • (2011) ICIP
    • Xie, Y.1    Lu, H.2
  • 38
    • 85020525351 scopus 로고    scopus 로고
    • What makes a patch distinct, In: CVPR, 2013.
    • [38] R. Margolin, et al., What makes a patch distinct, In: CVPR, 2013.
    • Margolin, R.1
  • 39
    • 84898822478 scopus 로고    scopus 로고
    • Saliency detection via dense and sparse reconstruction,
    • [39] X. Li, H. Lu, L. Zhang, X. Ruan, M. Yang, Saliency detection via dense and sparse reconstruction, In: ICCV, 2013.
    • (2013) ICCV
    • Li, X.1    Lu, H.2    Zhang, L.3    Ruan, X.4    Yang, M.5
  • 40
    • 84866657764 scopus 로고    scopus 로고
    • Slic superpixels compared to state-of-the-art superpixel methods, IEEE Trans. Pattern Anal. Mach. Intell. (PAMI) 34 (11) (2012) 2274–2282
    • [40] R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua, S. Susstrunk, Slic superpixels compared to state-of-the-art superpixel methods, IEEE Trans. Pattern Anal. Mach. Intell. (PAMI) 34 (11) (2012) 2274–2282.
    • Achanta, R.1    Shaji, A.2    Smith, K.3    Lucchi, A.4    Fua, P.5    Susstrunk, S.6
  • 41
    • 85020533777 scopus 로고    scopus 로고
    • A kernel method for the two-sample-problem, In: NIPS, 2006.
    • [41] A. Gretton, K. Borgwardt, M. Rasch, et al., A kernel method for the two-sample-problem, In: NIPS, 2006.
    • Gretton, A.1    Borgwardt, K.2    Rasch, M.3
  • 42
    • 33644783522 scopus 로고    scopus 로고
    • Self-tuning spectral clustering,
    • [42] L. Zelnik-Manor, P. Perona, Self-tuning spectral clustering, In: NIPS, 2004.
    • (2004) NIPS
    • Zelnik-Manor, L.1    Perona, P.2
  • 43
    • 84899028598 scopus 로고    scopus 로고
    • Manifold-based similarity adaptation for label propagation,
    • [43] M. Karasuyama, H. Mamitsuka, Manifold-based similarity adaptation for label propagation, In: NIPS, 2013.
    • (2013) NIPS
    • Karasuyama, M.1    Mamitsuka, H.2
  • 44
    • 34548583274 scopus 로고    scopus 로고
    • A tutorial on spectral clustering
    • [44] von Luxburg, U., A tutorial on spectral clustering. Stat. Comput. 17:4 (2007), 395–416.
    • (2007) Stat. Comput. , vol.17 , Issue.4 , pp. 395-416
    • von Luxburg, U.1
  • 45
    • 85119025159 scopus 로고    scopus 로고
    • Salient region detection via high-dimensional color transform, In: CVPR, 2014.
    • [45] J. Kim, D. Han, Y. Tai, et al., Salient region detection via high-dimensional color transform, In: CVPR, 2014.
    • Kim, J.1    Han, D.2    Tai, Y.3
  • 48
    • 0032204063 scopus 로고    scopus 로고
    • A model of saliency-based visual attention for rapid scene analysis
    • [48] Itti, L., Koch, C., Niebur, E., A model of saliency-based visual attention for rapid scene analysis. IEEE Trans. Pattern Anal. Mach. Intell. (PAMI) 20:11 (1998), 1254–1259.
    • (1998) IEEE Trans. Pattern Anal. Mach. Intell. (PAMI) , vol.20 , Issue.11 , pp. 1254-1259
    • Itti, L.1    Koch, C.2    Niebur, E.3
  • 49
    • 0018306059 scopus 로고
    • A threshold selection method from gray-level histograms
    • [49] Otsu, N., A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9:1 (1979), 62–66.
    • (1979) IEEE Trans. Syst. Man Cybern. , vol.9 , Issue.1 , pp. 62-66
    • Otsu, N.1
  • 50
    • 84877867280 scopus 로고    scopus 로고
    • Graph-regularized saliency detection with convex-hull-based center prior
    • [50] Yang, C., Zhang, L., Lu, H., Graph-regularized saliency detection with convex-hull-based center prior. Signal Process. Lett. 20:7 (2013), 647–648.
    • (2013) Signal Process. Lett. , vol.20 , Issue.7 , pp. 647-648
    • Yang, C.1    Zhang, L.2    Lu, H.3
  • 52
    • 84898025441 scopus 로고    scopus 로고
    • Saliency tree: a novel saliency detection framework
    • [52] Liu, Z., Zou, W., Meur, O., Saliency tree: a novel saliency detection framework. IEEE Trans. Image Process. 23:5 (2014), 1937–1952.
    • (2014) IEEE Trans. Image Process. , vol.23 , Issue.5 , pp. 1937-1952
    • Liu, Z.1    Zou, W.2    Meur, O.3
  • 54
    • 34948898079 scopus 로고    scopus 로고
    • Image segmentation by probabilistic bottom-up aggregation and cue integration, In: CVPR, 2007.
    • [54] S. Alpert, M. Galun, et al., Image segmentation by probabilistic bottom-up aggregation and cue integration, In: CVPR, 2007.
    • Alpert, S.1    Galun, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.