메뉴 건너뛰기




Volumn 23, Issue 5, 2014, Pages 1937-1952

Saliency tree: A novel saliency detection framework

Author keywords

saliency detection; saliency model; Saliency tree

Indexed keywords

IMAGE SEGMENTATION; PIXELS;

EID: 84898025441     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2014.2307434     Document Type: Article
Times cited : (239)

References (61)
  • 2
    • 84863276292 scopus 로고    scopus 로고
    • Region diversity maximization for salient object detection
    • Apr.
    • R. Shi, Z. Liu, H. Du, X. Zhang, and L. Shen, "Region diversity maximization for salient object detection," IEEE Signal Process. Lett., vol. 19, no. 4, pp. 215-218, Apr. 2012.
    • (2012) IEEE Signal Process. Lett. , vol.19 , Issue.4 , pp. 215-218
    • Shi, R.1    Liu, Z.2    Du, H.3    Zhang, X.4    Shen, L.5
  • 4
    • 78149316189 scopus 로고    scopus 로고
    • Segmenting salient objects from images and videos
    • Sep.
    • E. Rahtu, J. Kannala, M. Salo, and J. Heikkila, "Segmenting salient objects from images and videos," in Proc. ECCV, Sep. 2010, pp. 366-379.
    • (2010) Proc. ECCV , pp. 366-379
    • Rahtu, E.1    Kannala, J.2    Salo, M.3    Heikkila, J.4
  • 5
    • 84863121397 scopus 로고    scopus 로고
    • A unified spectral-domain approach for saliency detection and its application to automatic object segmentation
    • Mar.
    • C. Jung, and C. Kim, "A unified spectral-domain approach for saliency detection and its application to automatic object segmentation," IEEE Trans. Image Process., vol. 21, no. 3, pp. 1272-1283, Mar. 2012.
    • (2012) IEEE Trans. Image Process. , vol.21 , Issue.3 , pp. 1272-1283
    • Jung, C.1    Kim, C.2
  • 6
    • 84864140615 scopus 로고    scopus 로고
    • Unsupervised salient object segmentation based on kernel density estimation and two-phase graph cut
    • Aug.
    • Z. Liu, R. Shi, L. Shen, Y. Xue, K. N. Ngan, and Z. Zhang, "Unsupervised salient object segmentation based on kernel density estimation and two-phase graph cut," IEEE Trans. Multimedia, vol. 14, no. 4, pp. 1275-1289, Aug. 2012.
    • (2012) IEEE Trans. Multimedia , vol.14 , Issue.4 , pp. 1275-1289
    • Liu, Z.1    Shi, R.2    Shen, L.3    Xue, Y.4    Ngan, K.N.5    Zhang, Z.6
  • 7
    • 34548755565 scopus 로고    scopus 로고
    • Retargeting images and video for preserving information saliency
    • DOI 10.1109/MCG.2007.133
    • V. Setlur, T. Lechner, M. Nienhaus, and B. Gooch, "Retargeting images and video for preserving information saliency," IEEE Comput. Graph. Appl., vol. 27, no. 5, pp. 80-88, Sep. 2007. (Pubitemid 47434072)
    • (2007) IEEE Computer Graphics and Applications , vol.27 , Issue.5 , pp. 80-88
    • Setlur, V.1    Lechner, T.2    Nienhaus, M.3    Gooch, B.4
  • 8
    • 58849088166 scopus 로고    scopus 로고
    • Seam carving for media retargeting
    • Jan.
    • A. Shamir, and S. Avidan, "Seam carving for media retargeting," Commun. ACM, vol. 52, no. 1, pp. 77-85, Jan. 2009.
    • (2009) Commun. ACM , vol.52 , Issue.1 , pp. 77-85
    • Shamir, A.1    Avidan, S.2
  • 9
    • 83255184455 scopus 로고    scopus 로고
    • Saliency density maximization for efficient visual objects discovery
    • Dec.
    • Y. Luo, J. Yuan, P. Xue, and Q. Tian, "Saliency density maximization for efficient visual objects discovery," IEEE Trans. Circuits Syst. Video Technol., vol. 21, no. 12, pp. 1822-1834, Dec. 2011.
    • (2011) IEEE Trans. Circuits Syst. Video Technol. , vol.21 , Issue.12 , pp. 1822-1834
    • Luo, Y.1    Yuan, J.2    Xue, P.3    Tian, Q.4
  • 10
    • 72949100573 scopus 로고    scopus 로고
    • A novel multiresolution spatiotemporal saliency detection model and its applications in image and video compression
    • Jan.
    • 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.
    • (2010) IEEE Trans. Image Process. , vol.19 , Issue.1 , pp. 185-198
    • Guo, C.1    Zhang, L.2
  • 11
    • 77957702893 scopus 로고    scopus 로고
    • Visual attention guided bit allocation in video compression
    • Jan.
    • Z. Li, S. Qin, and L. Itti, "Visual attention guided bit allocation in video compression," Image Vis. Comput., vol. 29, no. 1, pp. 1-14, Jan. 2011.
    • (2011) Image Vis. Comput. , vol.29 , Issue.1 , pp. 1-14
    • Li, Z.1    Qin, S.2    Itti, L.3
  • 12
    • 33744982236 scopus 로고    scopus 로고
    • Attention-driven image interpretation with application to image retrieval
    • DOI 10.1016/j.patcog.2005.12.015, PII S0031320306000021
    • H. Fu, Z. Chi, and D. Feng, "Attention-driven image interpretation with application to image retrieval," Pattern Recognit., vol. 39, no. 9, pp. 1604-1621, Sep. 2006. (Pubitemid 43867564)
    • (2006) Pattern Recognition , vol.39 , Issue.9 , pp. 1604-1621
    • Fu, H.1    Chi, Z.2    Feng, D.3
  • 13
    • 84867866405 scopus 로고    scopus 로고
    • Salient object detection: A benchmark
    • A. Borji, D. N. Sihite, and L. Itti, "Salient object detection: A benchmark," in Proc. ECCV, Oct. 2012, pp. 414-429.
    • (2012) Proc. ECCV, Oct. , pp. 414-429
    • Borji, A.1    Sihite, D.N.2    Itti, L.3
  • 14
    • 0022388528 scopus 로고
    • Shifts in selective visual attention: Towards the underlying neural circuitry
    • C. Koch and S. Ullman, "Shifts in selective visual attention: Towards the underlying neural circuitry," Human Neurobiol., vol. 4, no. 4, pp. 219-227, 1985. (Pubitemid 16176695)
    • (1985) Human Neurobiology , vol.4 , Issue.4 , pp. 219-227
    • Koch, C.1    Ullman, S.2
  • 15
    • 0018878142 scopus 로고
    • A feature-integration theory of attention
    • Jan.
    • A. M. Treisman and G. Gelade, "A feature-integration theory of attention," Cognit. Psychol., vol. 12, no. 1, pp. 97-136, Jan. 1980.
    • (1980) Cognit. Psychol , vol.12 , Issue.1 , pp. 97-136
    • Treisman, A.M.1    Gelade, G.2
  • 17
    • 2342589340 scopus 로고    scopus 로고
    • Contrast-based image attention analysis by using fuzzy growing
    • Nov.
    • Y. F. Ma and H. J. Zhang, "Contrast-based image attention analysis by using fuzzy growing," in Proc. ACM Multimedia, Nov. 2003, pp. 374-381.
    • (2003) Proc. ACM Multimedia , pp. 374-381
    • Ma, Y.F.1    Zhang, H.J.2
  • 18
    • 78049300537 scopus 로고    scopus 로고
    • Relevance of a feed-forward model of visual attention for goal-oriented and free-viewing tasks
    • Nov.
    • O. Le Meur and J.-C. Chevet, "Relevance of a feed-forward model of visual attention for goal-oriented and free-viewing tasks," IEEE Trans. Image Process., vol. 19, no. 11, pp. 2801-2813, Nov. 2010.
    • (2010) IEEE Trans. Image Process. , vol.19 , Issue.11 , pp. 2801-2813
    • Le Meur, O.1    Chevet, J.-C.2
  • 19
    • 79953737606 scopus 로고    scopus 로고
    • Spatiotemporal saliency detection and its applications in static and dynamic scenes
    • Apr.
    • 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.
    • (2011) IEEE Trans. Circuits Syst. Video Technol. , vol.21 , Issue.4 , pp. 446-456
    • Kim, W.1    Jung, C.2    Kim, C.3
  • 20
    • 79956010071 scopus 로고    scopus 로고
    • The discriminant centersurround hypothesis for bottom-up saliency
    • Dec.
    • D. Gao, V. Mahadevan, and N. Vasconcelos, "The discriminant centersurround hypothesis for bottom-up saliency," in Proc. NIPS, Dec. 2007, pp. 497-504.
    • (2007) Proc. NIPS , pp. 497-504
    • Gao, D.1    Mahadevan, V.2    Vasconcelos, N.3
  • 21
    • 77950364024 scopus 로고    scopus 로고
    • Static and space-time visual saliency detection by self-resemblance
    • Nov.
    • H. J. Seo and P. Milanfar, "Static and space-time visual saliency detection by self-resemblance," J. Vis., vol. 9, no. 12, pp. 1-27, Nov. 2009.
    • (2009) J. Vis. , vol.9 , Issue.12 , pp. 1-27
    • Seo, H.J.1    Milanfar, P.2
  • 22
    • 84871765802 scopus 로고    scopus 로고
    • A visual-attention model using earth Mover's distance based saliency measurement and nonlinear feature combination
    • Feb.
    • Y. Lin, Y. Tang, B. Fang, Z. Shang, Y. Huang, and S. Wang, "A visual-attention model using earth Mover's distance based saliency measurement and nonlinear feature combination," IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 2, pp. 314-328, Feb. 2013.
    • (2013) IEEE Trans. Pattern Anal. Mach. Intell. , vol.35 , Issue.2 , pp. 314-328
    • Lin, Y.1    Tang, Y.2    Fang, B.3    Shang, Z.4    Huang, Y.5    Wang, S.6
  • 24
    • 78651106504 scopus 로고    scopus 로고
    • Saliency detection using maximum symmetric surround
    • Sep.
    • R. Achanta and S. Susstrunk, "Saliency detection using maximum symmetric surround," in Proc. IEEE ICIP, Sep. 2010, pp. 2653-2656.
    • (2010) Proc. IEEE ICIP , pp. 2653-2656
    • Achanta, R.1    Susstrunk, S.2
  • 25
    • 42649114129 scopus 로고    scopus 로고
    • Fast and robust generation of feature maps for region-based visual attention
    • DOI 10.1109/TIP.2008.919365
    • M. Z. Aziz and B. Mertsching, "Fast and robust generation of feature maps for region-based visual attention," IEEE Trans. Image Process., vol. 17, no. 5, pp. 633-644, May 2008. (Pubitemid 351597156)
    • (2008) IEEE Transactions on Image Processing , vol.17 , Issue.5 , pp. 633-644
    • Aziz, M.Z.1    Mertsching, B.2
  • 26
    • 58149506125 scopus 로고    scopus 로고
    • SUN: A Bayesian framework for saliency using natural statistics
    • Dec.
    • L. Zhang, M. H. Tong, T. K. Marks, H. Shan, and G. W. Cottrell, "SUN: A Bayesian framework for saliency using natural statistics," J. Vis., vol. 8, no. 7, pp. 1-20, Dec. 2008.
    • (2008) J. Vis. , vol.8 , Issue.7 , pp. 1-20
    • Zhang, L.1    Tong, M.H.2    Marks, T.K.3    Shan, H.4    Cottrell, G.W.5
  • 27
    • 0035507681 scopus 로고    scopus 로고
    • Saliency, scale and image description
    • DOI 10.1023/A:1012460413855
    • T. Kadir and M. Brady, "Saliency, scale and image description," Int. J. Comput. Vis., vol. 45, no. 2, pp. 83-105, Nov. 2001. (Pubitemid 33125858)
    • (2001) International Journal of Computer Vision , vol.45 , Issue.2 , pp. 83-105
    • Kadir, T.1    Brady, M.2
  • 28
    • 77956002833 scopus 로고    scopus 로고
    • Measuring visual saliency by site entropy rate
    • Jun.
    • W. Wang, Y. Wang, Q. Huang, and W. Gao, "Measuring visual saliency by site entropy rate," in Proc. IEEE CVPR, Jun. 2010, pp. 2368-2375.
    • (2010) Proc. IEEE CVPR , pp. 2368-2375
    • Wang, W.1    Wang, Y.2    Huang, Q.3    Gao, W.4
  • 29
    • 35148814949 scopus 로고    scopus 로고
    • Saliency detection: A spectral residual approach
    • Jun.
    • X. Hou and L. Zhang, "Saliency detection: A spectral residual approach," in Proc. IEEE CVPR, Jun. 2007, pp. 1-8.
    • (2007) Proc. IEEE CVPR , pp. 1-8
    • Hou, X.1    Zhang, L.2
  • 30
    • 33645236179 scopus 로고    scopus 로고
    • A coherent computational approach to model bottom-up visual attention
    • May
    • O. Le Meur, P. Le 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
    • Le Meur, O.1    Le Callet, P.2    Barba, D.3    Thoreau, D.4
  • 31
    • 84864037603 scopus 로고    scopus 로고
    • Graph-based visual saliency
    • Dec.
    • J. Harel, C. Koch, and P. Perona, "Graph-based visual saliency," in Proc. NIPS, Dec. 2006, pp. 545-552.
    • (2006) Proc. NIPS , pp. 545-552
    • Harel, J.1    Koch, C.2    Perona, P.3
  • 32
    • 78649256287 scopus 로고    scopus 로고
    • Random walks on graphs for salient object detection in images
    • Dec.
    • 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.
    • (2010) IEEE Trans. Image Process. , vol.19 , Issue.12 , pp. 3232-3242
    • Gopalakrishnan, V.1    Hu, Y.2    Rajan, D.3
  • 33
    • 77649273553 scopus 로고    scopus 로고
    • Esaliency (extended saliency): Meaningful attention using stochastic image modeling
    • Apr.
    • T. Avraham and M. Lindenbaum, "Esaliency (extended saliency): Meaningful attention using stochastic image modeling," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 4, pp. 693-708, Apr. 2010.
    • (2010) IEEE Trans. Pattern Anal. Mach. Intell. , vol.32 , Issue.4 , pp. 693-708
    • Avraham, T.1    Lindenbaum, M.2
  • 35
    • 84887392014 scopus 로고    scopus 로고
    • Salient object detection: A discriminative regional feature integration approach
    • Jun.
    • H. Jiang, J. Wang, Z. Yuan, Y. Wu, N. Zheng, and S. Li, "Salient object detection: A discriminative regional feature integration approach," in Proc. IEEE CVPR, Jun. 2013, pp. 2083-2090.
    • (2013) Proc. IEEE CVPR , pp. 2083-2090
    • Jiang, H.1    Wang, J.2    Yuan, Z.3    Wu, Y.4    Zheng, N.5    Li, S.6
  • 37
    • 77956008283 scopus 로고    scopus 로고
    • Context-aware saliency detection
    • Jun.
    • S. Goferman, L. Zelnik-Manor, and A. Tal, "Context-aware saliency detection," in Proc. IEEE CVPR, Jun. 2010, pp. 2376-2383.
    • (2010) Proc IEEE CVPR , pp. 2376-2383
    • Goferman, S.1    Zelnik-Manor, L.2    Tal, A.3
  • 38
    • 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
  • 39
    • 77952253029 scopus 로고    scopus 로고
    • An adaptive computational model for salient object detection
    • Jun.
    • W. Zhang, Q. M. J. Wu, G. Wang, and H. Yin, "An adaptive computational model for salient object detection," IEEE Trans. Multimedia, vol. 12, no. 4, pp. 300-316, Jun. 2010.
    • (2010) IEEE Trans. Multimedia , vol.12 , Issue.4 , pp. 300-316
    • Zhang, W.1    Wu, Q.M.J.2    Wang, G.3    Yin, H.4
  • 40
    • 79952346980 scopus 로고    scopus 로고
    • Efficient saliency detection based on Gaussian models
    • Mar.
    • Z. Liu, Y. Xue, H. Yan, and Z. Zhang, "Efficient saliency detection based on Gaussian models," IET Image Process., vol. 5, no. 2, pp. 122-131, Mar. 2011.
    • (2011) IET Image Process. , vol.5 , Issue.2 , pp. 122-131
    • Liu, Z.1    Xue, Y.2    Yan, H.3    Zhang, Z.4
  • 41
    • 78651071317 scopus 로고    scopus 로고
    • Nonparametric saliency detection using kernel density estimation
    • Sep.
    • Z. Liu, Y. Xue, L. Shen, and Z. Zhang, "Nonparametric saliency detection using kernel density estimation," in Proc. IEEE ICIP, Sep. 2010, pp. 253-256.
    • (2010) Proc. IEEE ICIP , pp. 253-256
    • Liu, Z.1    Xue, Y.2    Shen, L.3    Zhang, Z.4
  • 43
    • 84868100877 scopus 로고    scopus 로고
    • Salient object detection through over-segmentation
    • Jul.
    • X. Zhang, Z. Ren, D. Rajan, and Y. Hu, "Salient object detection through over-segmentation," in Proc. IEEE ICME, Jul. 2012, pp. 1033-1038.
    • (2012) Proc. IEEE ICME , pp. 1033-1038
    • Zhang, X.1    Ren, Z.2    Rajan, D.3    Hu, Y.4
  • 44
    • 84874539078 scopus 로고    scopus 로고
    • Saliency detection using regional histograms
    • Mar.
    • Z. Liu, O. Le Meur, S. Luo, and L. Shen, "Saliency detection using regional histograms," Opt. Lett., vol. 38, no. 5, pp. 700-702, Mar. 2013.
    • (2013) Opt. Lett. , vol.38 , Issue.5 , pp. 700-702
    • Liu, Z.1    Le Meur, O.2    Luo, S.3    Shen, L.4
  • 45
    • 84887217479 scopus 로고    scopus 로고
    • Superpixel-based saliency detection
    • Jul.
    • Z. Liu, O. Le Meur, and S. Luo, "Superpixel-based saliency detection," in Proc. IEEE WIAMIS, Jul. 2013, pp. 1-4.
    • (2013) Proc. IEEE WIAMIS , pp. 1-4
    • Liu, Z.1    Le Meur, O.2    Luo, S.3
  • 46
    • 84866667038 scopus 로고    scopus 로고
    • Saliency filters: Contrast based filtering for salient region detection
    • Jun.
    • F. Perazzi1, P. Krähenbül, Y. Pritch, and A. Hornung, "Saliency filters: Contrast based filtering for salient region detection," in Proc. IEEE CVPR, Jun. 2012, pp. 733-740.
    • (2012) Proc. IEEE CVPR , pp. 733-740
    • Perazzi, F.1    Krähenbül, P.2    Pritch, Y.3    Hornung, A.4
  • 47
    • 84887322898 scopus 로고    scopus 로고
    • Hierarchical saliency detection
    • Jun.
    • Q. Yan, L. Xu, J. Shi, and J. Jia, "Hierarchical saliency detection," in Proc. IEEE CVPR, Jun. 2013, pp. 1155-1162.
    • (2013) Proc. IEEE CVPR , pp. 1155-1162
    • Yan, Q.1    Xu, L.2    Shi, J.3    Jia, J.4
  • 48
    • 84863014339 scopus 로고    scopus 로고
    • Fusing generic objectness and visual saliency for salient object detection
    • Nov.
    • K. Y. Chang, T. L. Liu, H. T. Chen, and S. H. Lai, "Fusing generic objectness and visual saliency for salient object detection," in Proc. IEEE ICCV, Nov. 2011, pp. 914-921.
    • (2011) Proc. IEEE ICCV , pp. 914-921
    • Chang, K.Y.1    Liu, T.L.2    Chen, H.T.3    Lai, S.H.4
  • 49
    • 84898491541 scopus 로고    scopus 로고
    • Automatic salient object segmentation based on context and shape prior
    • Aug.
    • 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. BMVC, Aug. 2011, pp. 1-12.
    • (2011) Proc. BMVC , pp. 1-12
    • Jiang, H.1    Wang, J.2    Yuan, Z.3    Liu, T.4    Zheng, N.5    Li, S.6
  • 50
    • 84866672748 scopus 로고    scopus 로고
    • A unified approach to salient object detection via low rank matrix recovery
    • Jun.
    • X. Shen and Y. Wu, "A unified approach to salient object detection via low rank matrix recovery," in Proc. IEEE CVPR, Jun. 2012, pp. 853-860.
    • (2012) Proc. IEEE CVPR , pp. 853-860
    • Shen, X.1    Wu, Y.2
  • 51
    • 84898423707 scopus 로고    scopus 로고
    • Segmentation driven lowrank matrix recovery for saliency detection
    • Sep.
    • W. Zou, K. Kpalma, Z. Liu, and J. Ronsin, "Segmentation driven lowrank matrix recovery for saliency detection," in Proc. BMVC, Sep. 2013, pp. 1-13.
    • (2013) Proc. BMVC , pp. 1-13
    • Zou, W.1    Kpalma, K.2    Liu, Z.3    Ronsin, J.4
  • 52
    • 84867849070 scopus 로고    scopus 로고
    • Geodesic saliency using background priors
    • Oct.
    • Y. Wei, F. Wen, W. Zhu, and J. Sun, "Geodesic saliency using background priors," in Proc. ECCV, vol. 3. Oct. 2012, pp. 29-42.
    • (2012) Proc. ECCV , vol.3 , pp. 29-42
    • Wei, Y.1    Wen, F.2    Zhu, W.3    Sun, J.4
  • 53
    • 84889245941 scopus 로고    scopus 로고
    • Bayesian saliency via low and mid level cues
    • May
    • Y. Xie, H. Lu, and M. H. Yang, "Bayesian saliency via low and mid level cues," IEEE Trans. Image Process., vol. 22, no. 5, pp. 1689-1698, May 2013.
    • (2013) IEEE Trans. Image Process. , vol.22 , Issue.5 , pp. 1689-1698
    • Xie, Y.1    Lu, H.2    Yang, M.H.3
  • 55
    • 0033886791 scopus 로고    scopus 로고
    • Binary partition tree as an efficient representation for image processing, segmentation, and information retrieval
    • DOI 10.1109/83.841934
    • P. Salembier and L. Garrido, "Binary partition tree as an efficient representation for image processing, segmentation, and information retrieval," IEEE Trans. Image Process., vol. 9, no. 4, pp. 561-576, Apr. 2000. (Pubitemid 30594737)
    • (2000) IEEE Transactions on Image Processing , vol.9 , Issue.4 , pp. 561-576
    • Salembier, P.1    Garrido, L.2
  • 56
    • 34948898079 scopus 로고    scopus 로고
    • Image segmentation by probabilistic bottom-up aggregation and cue integration
    • Jun.
    • S. Alpert, M. Galun, R. Basri, and A. Brandt, "Image segmentation by probabilistic bottom-up aggregation and cue integration," in Proc. IEEE CVPR, Jun. 2007, pp. 1-8.
    • (2007) Proc. IEEE CVPR , pp. 1-8
    • Alpert, S.1    Galun, M.2    Basri, R.3    Brandt, A.4
  • 57
    • 77956554206 scopus 로고    scopus 로고
    • Design and perceptual validation of performance measures for salient object segmentation
    • Jun.
    • V. Movahedi, and J. H. Elder, "Design and perceptual validation of performance measures for salient object segmentation," in Proc. IEEE POCV, Jun. 2010, pp. 49-56.
    • (2010) Proc. IEEE POCV , pp. 49-56
    • Movahedi, V.1    Elder, J.H.2
  • 58
    • 0034850577 scopus 로고    scopus 로고
    • A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
    • D. Martin, C. Fowlkes, D. Tal, and J. Malik, "A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics," in Proc. IEEE ICCV, vol. 2. Jul. 2001, pp. 416-423. (Pubitemid 32795086)
    • (2001) Proceedings of the IEEE International Conference on Computer Vision , vol.2 , pp. 416-423
    • Martin, D.1    Fowlkes, C.2    Tal, D.3    Malik, J.4
  • 60
    • 0018306059 scopus 로고
    • Threshold selection method from gray-level histograms
    • N. Otsu, "A threshold selection method from gray-level histograms," IEEE Trans. Syst. Man Cybern., vol. 9, no. 1, pp. 62-66, Jan. 1979. (Pubitemid 9413341)
    • (1979) IEEE Trans Syst Man Cybern , vol.SMC-9 , Issue.1 , pp. 62-66
    • Otsu Nobuyuki1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.