메뉴 건너뛰기




Volumn 27, Issue 6, 2016, Pages 1177-1189

Spatiochromatic Context Modeling for Color Saliency Analysis

Author keywords

Color; context; region and boundary; spatiochromatic filtering; Visual saliency

Indexed keywords

IMAGE SEGMENTATION; OBJECT RECOGNITION; VISUALIZATION;

EID: 84940704075     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2015.2464316     Document Type: Article
Times cited : (40)

References (87)
  • 4
    • 77957941533 scopus 로고    scopus 로고
    • Saliency cuts: An automatic approach to object segmentation
    • Tampa, FL, USA, Dec.
    • F. Yu, J. Cheng, Z. Li, H. Lu, "Saliency cuts: An automatic approach to object segmentation," in Proc. 19th Int. Conf. Pattern Recognit., Tampa, FL, USA, Dec. 2008, pp. 1-4.
    • (2008) Proc. 19th Int. Conf. Pattern Recognit. , pp. 1-4
    • Yu, F.1    Cheng, J.2    Li, Z.3    Lu, H.4
  • 6
    • 44349149416 scopus 로고    scopus 로고
    • Fast-learning adaptive-subspace self-organizing map: An application to saliency-based invariant image feature construction
    • May
    • H. Zheng, G. Lefebvre, C. Laurent, "Fast-learning adaptive-subspace self-organizing map: An application to saliency-based invariant image feature construction," IEEE Trans. Neural Netw., vol. 19, no. 5, pp. 746-757, May 2008.
    • (2008) IEEE Trans. Neural Netw. , vol.19 , Issue.5 , pp. 746-757
    • Zheng, H.1    Lefebvre, G.2    Laurent, C.3
  • 8
    • 84893846216 scopus 로고    scopus 로고
    • Learning and recognition of on-premise signs from weakly labeled street view images
    • Mar.
    • T.-H. Tsai, W.-H. Cheng, C.-W. You, M.-C. Hu, A. W. Tsui, H.-Y. Chi, "Learning and recognition of on-premise signs from weakly labeled street view images," IEEE Trans. Image Process., vol. 23, no. 3, pp. 1047-1059, Mar. 2014.
    • (2014) IEEE Trans. Image Process. , vol.23 , Issue.3 , pp. 1047-1059
    • Tsai, T.-H.1    Cheng, W.-H.2    You, C.-W.3    Hu, M.-C.4    Tsui, A.W.5    Chi, H.-Y.6
  • 9
    • 84907158054 scopus 로고    scopus 로고
    • Object recognition with hierarchical discriminant saliency networks
    • Sep.
    • S. Han and N. Vasconcelos, "Object recognition with hierarchical discriminant saliency networks," Frontiers Comput. Neurosci., vol. 8, p. 109, Sep. 2014.
    • (2014) Frontiers Comput. Neurosci. , vol.8 , pp. 109
    • Han, S.1    Vasconcelos, N.2
  • 10
    • 50649108122 scopus 로고    scopus 로고
    • Bottom-up saliency is a discriminant process
    • Rio de Janeiro, Brazil, Oct.
    • D. Gao and N. Vasconcelos, "Bottom-up saliency is a discriminant process," in Proc. 11th IEEE Int. Conf. Comput. Vis., Rio de Janeiro, Brazil, Oct. 2007, pp. 1-6.
    • (2007) Proc. 11th IEEE Int. Conf. Comput. Vis. , pp. 1-6
    • Gao, D.1    Vasconcelos, N.2
  • 12
    • 26044466214 scopus 로고    scopus 로고
    • A visual attention based region-of-interest determination framework for video sequences
    • W.-H. Cheng, W.-T. Chu, J.-L. Wu, "A visual attention based region-of-interest determination framework for video sequences," IEICE Trans. Inf. Syst., vol. E88-D, no. 7, pp. 1578-1586, 2005.
    • (2005) IEICE Trans. Inf. Syst. , Issue.7 E88-D , pp. 1578-1586
    • Cheng, W.-H.1    Chu, W.-T.2    Wu, J.-L.3
  • 13
    • 84863359424 scopus 로고    scopus 로고
    • Dynamic visual attention: Searching for coding length increments
    • Vancouver, BC, Canada, Dec.
    • X. Hou and L. Zhang, "Dynamic visual attention: Searching for coding length increments," in Proc. 22nd Annu. Conf. Neural Inf. Process. Syst., Vancouver, BC, Canada, Dec. 2008, pp. 681-688.
    • (2008) Proc. 22nd Annu. Conf. Neural Inf. Process. Syst. , pp. 681-688
    • Hou, X.1    Zhang, L.2
  • 14
    • 0032204063 scopus 로고    scopus 로고
    • A model of saliency-based visual attention for rapid scene analysis
    • Nov.
    • L. Itti, C. Koch, 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.
    • (1998) IEEE Trans. Pattern Anal. Mach. Intell. , vol.20 , Issue.11 , pp. 1254-1259
    • Itti, L.1    Koch, C.2    Niebur, E.3
  • 15
  • 16
    • 33846321817 scopus 로고    scopus 로고
    • Video adaptation for small display based on content recomposition
    • Jan.
    • W.-H. Cheng, C.-W. Wang, J.-L. Wu, "Video adaptation for small display based on content recomposition," IEEE Trans. Circuits Syst. Video Technol., vol. 17, no. 1, pp. 43-58, Jan. 2007.
    • (2007) IEEE Trans. Circuits Syst. Video Technol. , vol.17 , Issue.1 , pp. 43-58
    • Cheng, W.-H.1    Wang, C.-W.2    Wu, J.-L.3
  • 17
    • 77949556856 scopus 로고    scopus 로고
    • Saliency of color image derivatives: A comparison between computational models and human perception
    • E. Vazquez, T. Gevers, M. Lucassen, J. van de Weijer, R. Baldrich, "Saliency of color image derivatives: A comparison between computational models and human perception," J. Opt. Soc. Amer. A, vol. 27, no. 3, pp. 613-621, 2010.
    • (2010) J. Opt. Soc. Amer. A , vol.27 , Issue.3 , pp. 613-621
    • Vazquez, E.1    Gevers, T.2    Lucassen, M.3    Van De Weijer, J.4    Baldrich, R.5
  • 18
    • 79957511932 scopus 로고    scopus 로고
    • Fast and efficient saliency detection using sparse sampling and kernel density estimation
    • Ystad, Sweden, May
    • H. R. Tavakoli, E. Rahtu, J. Heikkilä, "Fast and efficient saliency detection using sparse sampling and kernel density estimation," in Proc. 17th Scandin. Conf. Image Anal., Ystad, Sweden, May 2011, pp. 666-675.
    • (2011) Proc. 17th Scandin. Conf. Image Anal. , pp. 666-675
    • Tavakoli, H.R.1    Rahtu, E.2    Heikkilä, J.3
  • 19
    • 84878384522 scopus 로고    scopus 로고
    • Visual saliency estimation by nonlinearly integrating features using region covariances
    • Mar.
    • E. Erdem and A. Erdem, "Visual saliency estimation by nonlinearly integrating features using region covariances," J. Vis., vol. 13, no. 4, pp. 1-20, Mar. 2013.
    • (2013) J. Vis. , vol.13 , Issue.4 , pp. 1-20
    • Erdem, E.1    Erdem, A.2
  • 20
    • 35148814949 scopus 로고    scopus 로고
    • Saliency detection: A spectral residual approach
    • Minneapolis, MN, USA, Jun.
    • X. Hou and L. Zhang, "Saliency detection: A spectral residual approach," in Proc. 20th IEEE Conf. Comput. Vis. Pattern Recognit., Minneapolis, MN, USA, Jun. 2007, pp. 1-8.
    • (2007) Proc. 20th IEEE Conf. Comput. Vis. Pattern Recognit. , pp. 1-8
    • Hou, X.1    Zhang, L.2
  • 22
    • 84890406335 scopus 로고    scopus 로고
    • Robust and efficient saliency modeling from image co-occurrence histograms
    • Jan.
    • S. Lu, C. Tan, J.-H. Lim, "Robust and efficient saliency modeling from image co-occurrence histograms," IEEE Trans. Pattern Anal. Mach. Intell., vol. 36, no. 1, pp. 195-201, Jan. 2014.
    • (2014) IEEE Trans. Pattern Anal. Mach. Intell. , vol.36 , Issue.1 , pp. 195-201
    • Lu, S.1    Tan, C.2    Lim, J.-H.3
  • 24
    • 84866672748 scopus 로고    scopus 로고
    • A unified approach to salient object detection via low rank matrix recovery
    • Providence, RI, USA, Jun.
    • X. Shen and Y. Wu, "A unified approach to salient object detection via low rank matrix recovery," in Proc. 25th IEEE Conf. Comput. Vis. Pattern Recognit., Providence, RI, USA, Jun. 2012, pp. 853-860.
    • (2012) Proc. 25th IEEE Conf. Comput. Vis. Pattern Recognit. , pp. 853-860
    • Shen, X.1    Wu, Y.2
  • 25
    • 84867849070 scopus 로고    scopus 로고
    • Geodesic saliency using background priors
    • Florence, Italy, Oct.
    • Y. Wei, F. Wen, W. Zhu, J. Sun, "Geodesic saliency using background priors," in Proc. 12th Eur. Conf. Comput. Vis., Florence, Italy, Oct. 2012, pp. 29-42.
    • (2012) Proc. 12th Eur. Conf. Comput. Vis. , pp. 29-42
    • Wei, Y.1    Wen, F.2    Zhu, W.3    Sun, J.4
  • 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, G. W. Cottrell, "SUN: A Bayesian framework for saliency using natural statistics," J. Vis., vol. 8, no. 7, p. 32, Dec. 2008.
    • (2008) J. Vis. , vol.8 , Issue.7 , pp. 32
    • Zhang, L.1    Tong, M.H.2    Marks, T.K.3    Shan, H.4    Cottrell, G.W.5
  • 29
    • 84890999478 scopus 로고    scopus 로고
    • Interpolation-tuned salient region detection
    • Y. Liu, X. Li, L. Wang, Y. Niu, "Interpolation-tuned salient region detection," Sci. China Inf. Sci., vol. 57, no. 1, pp. 0121041-0121049, 2014.
    • (2014) Sci. China Inf. Sci. , vol.57 , Issue.1 , pp. 0121041-0121049
    • Liu, Y.1    Li, X.2    Wang, L.3    Niu, Y.4
  • 30
    • 84876950345 scopus 로고    scopus 로고
    • Scale-invariant amplitude spectrum modulation for visual saliency detection
    • Aug.
    • D. Chen and H. Chu, "Scale-invariant amplitude spectrum modulation for visual saliency detection," IEEE Trans. Neural Netw. Learn. Syst., vol. 23, no. 8, pp. 1206-1214, Aug. 2012.
    • (2012) IEEE Trans. Neural Netw. Learn. Syst. , vol.23 , Issue.8 , pp. 1206-1214
    • Chen, D.1    Chu, H.2
  • 32
    • 84875275420 scopus 로고    scopus 로고
    • Learning saliency-based visual attention: A review
    • Jun.
    • Q. Zhao and C. Koch, "Learning saliency-based visual attention: A review," Signal Process., vol. 93, no. 6, pp. 1401-1407, Jun. 2013.
    • (2013) Signal Process. , vol.93 , Issue.6 , pp. 1401-1407
    • Zhao, Q.1    Koch, C.2
  • 33
    • 84886598638 scopus 로고    scopus 로고
    • Saliency detection by multipleinstance learning
    • Apr.
    • Q. Wang, Y. Yuan, P. Yan, X. Li, "Saliency detection by multipleinstance learning," IEEE Trans. Cybern., vol. 43, no. 2, pp. 660-672, Apr. 2013.
    • (2013) IEEE Trans. Cybern. , vol.43 , Issue.2 , pp. 660-672
    • Wang, Q.1    Yuan, Y.2    Yan, P.3    Li, X.4
  • 34
    • 84920929329 scopus 로고    scopus 로고
    • Spatial-aware object-level saliency prediction by learning graphlet hierarchies
    • Feb.
    • L. Zhang, Y. Xia, R. Ji, X. Li, "Spatial-aware object-level saliency prediction by learning graphlet hierarchies," IEEE Trans. Ind. Electron, vol. 62, no. 2, pp. 1301-1308, Feb. 2015.
    • (2015) IEEE Trans. Ind. Electron , vol.62 , Issue.2 , pp. 1301-1308
    • Zhang, L.1    Xia, Y.2    Ji, R.3    Li, X.4
  • 35
    • 84902279254 scopus 로고    scopus 로고
    • Weakly-supervised cross-domain dictionary learning for visual recognition
    • Aug.
    • F. Zhu and L. Shao, "Weakly-supervised cross-domain dictionary learning for visual recognition," Int. J. Comput. Vis., vol. 109, nos. 1-2, pp. 42-59, Aug. 2014.
    • (2014) Int. J. Comput. Vis. , vol.109 , Issue.1-2 , pp. 42-59
    • Zhu, F.1    Shao, L.2
  • 36
    • 84897583648 scopus 로고    scopus 로고
    • An objectoriented visual saliency detection framework based on sparse coding representations
    • Dec.
    • J. Han, S. He, X. Qian, D. Wang, L. Guo, T. Liu, "An objectoriented visual saliency detection framework based on sparse coding representations," IEEE Trans. Circuits Syst. Video Technol., vol. 23, no. 12, pp. 2009-2021, Dec. 2013.
    • (2013) IEEE Trans. Circuits Syst. Video Technol. , vol.23 , Issue.12 , pp. 2009-2021
    • Han, J.1    He, S.2    Qian, X.3    Wang, D.4    Guo, L.5    Liu, T.6
  • 37
    • 84893418304 scopus 로고    scopus 로고
    • Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding
    • Mar.
    • J. Han et al., "Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding," ISPRS J. Photogramm. Remote Sens., vol. 89, pp. 37-48, Mar. 2014.
    • (2014) ISPRS J. Photogramm. Remote Sens. , vol.89 , pp. 37-48
    • Han, J.1
  • 38
    • 84898822478 scopus 로고    scopus 로고
    • Saliency detection via dense and sparse reconstruction
    • Sydney, NSW, Australia, Dec.
    • X. Li, H. Lu, L. Zhang, X. Ruan, M.-H. Yang, "Saliency detection via dense and sparse reconstruction," in Proc. 14th IEEE Int. Conf. Comput. Vis., Sydney, NSW, Australia, Dec. 2013, pp. 2976-2983.
    • (2013) Proc. 14th IEEE Int. Conf. Comput. Vis. , pp. 2976-2983
    • Li, X.1    Lu, H.2    Zhang, L.3    Ruan, X.4    Yang, M.-H.5
  • 39
    • 84899945571 scopus 로고    scopus 로고
    • Learning to predict eye fixations for semantic contents using multi-layer sparse network
    • Aug.
    • C. Shen and Q. Zhao, "Learning to predict eye fixations for semantic contents using multi-layer sparse network," Neurocomputing, vol. 138, pp. 61-68, Aug. 2014.
    • (2014) Neurocomputing , vol.138 , pp. 61-68
    • Shen, C.1    Zhao, Q.2
  • 40
    • 84923658437 scopus 로고    scopus 로고
    • Two-stage learning to predict human eye fixations via sdaes
    • Feb.
    • J. Han, D. Zhang, S. Wen, L. Guo, T. Liu, X. Li, "Two-stage learning to predict human eye fixations via sdaes," IEEE Trans. Syst., Man, Cybern., vol. PP, no. 99, Feb. 2015, doi: 10.1109/TCYB.2015.2404432.
    • (2015) IEEE Trans. Syst., Man, Cybern. , pp. 99
    • Han, J.1    Zhang, D.2    Wen, S.3    Guo, L.4    Liu, T.5    Li, X.6
  • 41
    • 84937468143 scopus 로고    scopus 로고
    • Saliency detection based on feature learning using deep Boltzmann machines
    • Chengdu, China, Jul.
    • S. Wen, J. Han, D. Zhang, L. Guo, "Saliency detection based on feature learning using deep Boltzmann machines," in Proc. IEEE Int. Conf. Multimedia Expo, Chengdu, China, Jul. 2014, pp. 1-6.
    • (2014) Proc IEEE Int. Conf. Multimedia Expo , pp. 1-6
    • Wen, S.1    Han, J.2    Zhang, D.3    Guo, L.4
  • 42
    • 84865657272 scopus 로고    scopus 로고
    • Learning visual saliency by combining feature maps in a nonlinear manner using AdaBoost
    • Jun.
    • Q. Zhao and C. Koch, "Learning visual saliency by combining feature maps in a nonlinear manner using AdaBoost," J. Vis., vol. 12, no. 6, p. 22, Jun. 2012.
    • (2012) J. Vis. , vol.12 , Issue.6 , pp. 22
    • Zhao, Q.1    Koch, C.2
  • 43
    • 84926497888 scopus 로고    scopus 로고
    • Background prior-based salient object detection via deep reconstruction residual
    • Aug.
    • J. Han, D. Zhang, X. Hu, L. Guo, J. Ren, F. Wu, "Background prior-based salient object detection via deep reconstruction residual," IEEE Trans. Circuits Syst. Video Technol., vol. 25, no. 8, pp. 1309-1321, Aug. 2015.
    • (2015) IEEE Trans. Circuits Syst. Video Technol. , vol.25 , Issue.8 , pp. 1309-1321
    • Han, J.1    Zhang, D.2    Hu, X.3    Guo, L.4    Ren, J.5    Wu, F.6
  • 44
    • 31644442650 scopus 로고    scopus 로고
    • Unsupervised extraction of visual attention objects in color images
    • Jan.
    • J. Han, K. N. Ngan, M. Li, 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.
    • (2006) IEEE Trans. Circuits Syst. Video Technol. , vol.16 , Issue.1 , pp. 141-145
    • Han, J.1    Ngan, K.N.2    Li, M.3    Zhang, H.-J.4
  • 45
    • 78650512633 scopus 로고    scopus 로고
    • Learning to detect a salient object
    • Feb.
    • T. Liu et al., "Learning to detect a salient object," IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 2, pp. 353-367, Feb. 2011.
    • (2011) IEEE Trans. Pattern Anal. Mach. Intell. , vol.33 , Issue.2 , pp. 353-367
    • Liu, T.1
  • 46
    • 84904504536 scopus 로고    scopus 로고
    • Exploring feature sets for two-phase biomedical named entity recognition using semi-CRFs
    • L. Yang and Y. Zhou, "Exploring feature sets for two-phase biomedical named entity recognition using semi-CRFs," Knowl. Inf. Syst., vol. 40, no. 2, pp. 439-453, 2014.
    • (2014) Knowl. Inf. Syst. , vol.40 , Issue.2 , pp. 439-453
    • Yang, L.1    Zhou, Y.2
  • 47
    • 84894671825 scopus 로고    scopus 로고
    • Scalable sequential alternating proximal methods for sparse structural SVMs and CRFs
    • Mar.
    • P. Balamurugan, S. Shevade, T. R. Babu, "Scalable sequential alternating proximal methods for sparse structural SVMs and CRFs," Knowl. Inf. Syst., vol. 38, no. 3, pp. 599-621, Mar. 2014.
    • (2014) Knowl. Inf. Syst. , vol.38 , Issue.3 , pp. 599-621
    • Balamurugan, P.1    Shevade, S.2    Babu, T.R.3
  • 49
    • 84923215602 scopus 로고    scopus 로고
    • Image aesthetics enhancement using composition-based saliency detection
    • Mar.
    • H. Zhao, J. Chen, Y. Han, X. Cao, "Image aesthetics enhancement using composition-based saliency detection," Multimedia Syst., vol. 21, no. 2, pp. 159-168, Mar. 2015.
    • (2015) Multimedia Syst. , vol.21 , Issue.2 , pp. 159-168
    • Zhao, H.1    Chen, J.2    Han, Y.3    Cao, X.4
  • 52
    • 84902262205 scopus 로고    scopus 로고
    • Video color conceptualization using optimization
    • X. Cao, Y. Zhang, X. Guo, Y.-M. Cheung, "Video color conceptualization using optimization," Sci. China Inf. Sci., vol. 57, no. 7, pp. 0721141-07211411, 2014.
    • (2014) Sci. China Inf. Sci. , vol.57 , Issue.7 , pp. 0721141-07211411
    • Cao, X.1    Zhang, Y.2    Guo, X.3    Cheung, Y.-M.4
  • 53
    • 84867880053 scopus 로고    scopus 로고
    • A new biologically inspired color image descriptor
    • Florence, Italy, Oct.
    • J. Zhang, Y. Barhomi, T. Serre, "A new biologically inspired color image descriptor," in Proc. 12th Eur. Conf. Comput. Vis., Florence, Italy, Oct. 2012, pp. 312-324.
    • (2012) Proc. 12th Eur. Conf. Comput. Vis. , pp. 312-324
    • Zhang, J.1    Barhomi, Y.2    Serre, T.3
  • 54
    • 0021321890 scopus 로고
    • Anatomy and physiology of a color system in the primate visual cortex
    • M. S. Livingstone and D. H. Hubel, "Anatomy and physiology of a color system in the primate visual cortex," J. Neurosci., vol. 4, no. 1, pp. 309-356, 1984.
    • (1984) J. Neurosci. , vol.4 , Issue.1 , pp. 309-356
    • Livingstone, M.S.1    Hubel, D.H.2
  • 55
    • 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.
    • (1985) Human Neurobiol. , vol.4 , Issue.4 , pp. 219-227
    • Koch, C.1    Ullman, S.2
  • 56
    • 0035286497 scopus 로고    scopus 로고
    • Computational modelling of visual attention
    • L. Itti and C. Koch, "Computational modelling of visual attention," Nature Rev. Neurosci., vol. 2, no. 3, pp. 194-203, 2001.
    • (2001) Nature Rev. Neurosci. , vol.2 , Issue.3 , pp. 194-203
    • Itti, L.1    Koch, C.2
  • 57
    • 0036148711 scopus 로고    scopus 로고
    • A saliency map in primary visual cortex
    • Jan.
    • Z. Li, "A saliency map in primary visual cortex," Trends Cognit. Sci., vol. 6, no. 1, pp. 9-16, Jan. 2002.
    • (2002) Trends Cognit. Sci. , vol.6 , Issue.1 , pp. 9-16
    • Li, Z.1
  • 58
    • 84862225694 scopus 로고    scopus 로고
    • Properties of V1 neurons tuned to conjunctions of visual features: Application of the V1 saliency hypothesis to visual search behavior
    • L. Zhaoping and L. Zhe, "Properties of V1 neurons tuned to conjunctions of visual features: Application of the V1 saliency hypothesis to visual search behavior," PLoS ONE, vol. 7, no. 6, p. e36223, 2012.
    • (2012) PLoS ONE , vol.7 , Issue.6 , pp. e36223
    • Zhaoping, L.1    Zhe, L.2
  • 59
    • 34249277812 scopus 로고    scopus 로고
    • Feature-specific interactions in salience from combined feature contrasts: Evidence for a bottom-up saliency map in V1
    • May
    • A. R. Koene and L. Zhaoping, "Feature-specific interactions in salience from combined feature contrasts: Evidence for a bottom-up saliency map in V1," J. Vis., vol. 7, no. 7, pp. 1-14, May 2007.
    • (2007) J. Vis. , vol.7 , Issue.7 , pp. 1-14
    • Koene, A.R.1    Zhaoping, L.2
  • 60
    • 33749535434 scopus 로고    scopus 로고
    • Origins of cross-orientation suppression in the visual cortex
    • B. Li, J. K. Thompson, T. Duong, M. R. Peterson, R. D. Freeman, "Origins of cross-orientation suppression in the visual cortex," J. Neurophysiol., vol. 96, no. 4, pp. 1755-1764, 2006.
    • (2006) J. Neurophysiol. , vol.96 , Issue.4 , pp. 1755-1764
    • Li, B.1    Thompson, J.K.2    Duong, T.3    Peterson, M.R.4    Freeman, R.D.5
  • 61
    • 79953765040 scopus 로고    scopus 로고
    • Color in the cortex: Single-and doubleopponent cells
    • Apr.
    • R. Shapley and M. J. Hawken, "Color in the cortex: Single-and doubleopponent cells," Vis. Res., vol. 51, no. 7, pp. 701-717, Apr. 2011.
    • (2011) Vis. Res. , vol.51 , Issue.7 , pp. 701-717
    • Shapley, R.1    Hawken, M.J.2
  • 62
    • 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
  • 63
    • 0026904517 scopus 로고
    • Normalization of cell responses in cat striate cortex
    • D. J. Heeger, "Normalization of cell responses in cat striate cortex," J. Neurosci., vol. 9, no. 2, pp. 181-197, 1992.
    • (1992) J. Neurosci. , vol.9 , Issue.2 , pp. 181-197
    • Heeger, D.J.1
  • 65
    • 33750963127 scopus 로고    scopus 로고
    • Spatial and temporal properties of cone signals in alert macaque primary visual cortex
    • B. R. Conway and M. S. Livingstone, "Spatial and temporal properties of cone signals in alert macaque primary visual cortex," J. Neurosci., vol. 26, no. 42, pp. 10826-10846, 2006.
    • (2006) J. Neurosci. , vol.26 , Issue.42 , pp. 10826-10846
    • Conway, B.R.1    Livingstone, M.S.2
  • 66
    • 80755188054 scopus 로고    scopus 로고
    • Cross-orientation suppression in human visual cortex
    • G. J. Brouwer and D. J. Heeger, "Cross-orientation suppression in human visual cortex," J. Neurophysiol., vol. 106, no. 5, pp. 2108-2119, 2011.
    • (2011) J. Neurophysiol. , vol.106 , Issue.5 , pp. 2108-2119
    • Brouwer, G.J.1    Heeger, D.J.2
  • 67
    • 58549119195 scopus 로고    scopus 로고
    • The normalization model of attention
    • Jan.
    • J. H. Reynolds and D. J. Heeger, "The normalization model of attention," Neuron, vol. 61, no. 2, pp. 168-185, Jan. 2009.
    • (2009) Neuron , vol.61 , Issue.2 , pp. 168-185
    • Reynolds, J.H.1    Heeger, D.J.2
  • 68
    • 84155167791 scopus 로고    scopus 로고
    • Normalization as a canonical neural computation
    • Jan.
    • M. Carandini and D. J. Heeger, "Normalization as a canonical neural computation," Nature Rev. Neurosci., vol. 13, pp. 51-62, Jan. 2012.
    • (2012) Nature Rev. Neurosci. , vol.13 , pp. 51-62
    • Carandini, M.1    Heeger, D.J.2
  • 69
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • Nov.
    • D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, Nov. 2004.
    • (2004) Int. J. Comput. Vis. , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 71
    • 0022014331 scopus 로고
    • Spatiotemporal energy models for the perception of motion
    • E. H. Adelson and J. R. Bergen, "Spatiotemporal energy models for the perception of motion," J. Opt. Soc. Amer. A, vol. 2, no. 2, pp. 284-299, 1985.
    • (1985) J. Opt. Soc. Amer. A , vol.2 , Issue.2 , pp. 284-299
    • Adelson, E.H.1    Bergen, J.R.2
  • 72
    • 0028278438 scopus 로고
    • Summation and division by neurons in primate visual cortex
    • M. Carandini and D. J. Heeger, "Summation and division by neurons in primate visual cortex," Science, vol. 264, no. 5163, pp. 1333-1336, 1994.
    • (1994) Science , vol.264 , Issue.5163 , pp. 1333-1336
    • Carandini, M.1    Heeger, D.J.2
  • 73
    • 81855172211 scopus 로고    scopus 로고
    • Image signature: Highlighting sparse salient regions
    • Jan.
    • X. Hou, J. Harel, C. Koch, "Image signature: Highlighting sparse salient regions," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 1, pp. 194-201, Jan. 2012.
    • (2012) IEEE Trans. Pattern Anal. Mach. Intell. , vol.34 , Issue.1 , pp. 194-201
    • Hou, X.1    Harel, J.2    Koch, C.3
  • 74
    • 84921353380 scopus 로고    scopus 로고
    • Analysis of disparity maps for detecting saliency in stereoscopic video
    • Univ. Mannheim, Mannheim, Germany, Tech. Rep. TR-2013-003
    • S. Kopf, B. Guthier, P. Schaber, T. Dittrich, W. Effelsberg, "Analysis of disparity maps for detecting saliency in stereoscopic video," Dept. Comput. Sci., Univ. Mannheim, Mannheim, Germany, Tech. Rep. TR-2013-003, 2013.
    • (2013) Dept. Comput. Sci.
    • Kopf, S.1    Guthier, B.2    Schaber, P.3    Dittrich, T.4    Effelsberg, W.5
  • 75
    • 84898819857 scopus 로고    scopus 로고
    • Saliency detection: A Boolean map approach
    • Sydney, NSW, Australia, Dec.
    • J. Zhang and S. Sclaroff, "Saliency detection: A Boolean map approach," in Proc. 14th IEEE Int. Conf. Comput. Vis., Sydney, NSW, Australia, Dec. 2013, pp. 153-160.
    • (2013) Proc. 14th IEEE Int. Conf. Comput. Vis. , pp. 153-160
    • Zhang, J.1    Sclaroff, S.2
  • 76
    • 79952814300 scopus 로고    scopus 로고
    • Predicting eye fixations on complex visual stimuli using local symmetry
    • Mar.
    • G. Kootstra, B. de Boer, L. R. B. Schomaker, "Predicting eye fixations on complex visual stimuli using local symmetry," Cognit. Comput., vol. 3, no. 1, pp. 223-240, Mar. 2011.
    • (2011) Cognit. Comput. , vol.3 , Issue.1 , pp. 223-240
    • Kootstra, G.1    De Boer, B.2    Schomaker, L.R.B.3
  • 78
    • 33745812085 scopus 로고    scopus 로고
    • A theory of a saliency map in primary visual cortex (V1) tested by psychophysics of colour-orientation interference in texture segmentation
    • L. Zhaoping and R. J. Snowden, "A theory of a saliency map in primary visual cortex (V1) tested by psychophysics of colour-orientation interference in texture segmentation," Vis. Cognit., vol. 14, nos. 4-8, pp. 911-933, 2006.
    • (2006) Vis. Cognit. , vol.14 , Issue.4-8 , pp. 911-933
    • Zhaoping, L.1    Snowden, R.J.2
  • 79
    • 79957836414 scopus 로고    scopus 로고
    • Learning a saliency map using fixated locations in natural scenes
    • Q. Zhao and C. Koch, "Learning a saliency map using fixated locations in natural scenes," J. Vis., vol. 11, no. 3, pp. 1-15, 2011.
    • (2011) J. Vis. , vol.11 , Issue.3 , pp. 1-15
    • Zhao, Q.1    Koch, C.2
  • 80
    • 7044257117 scopus 로고    scopus 로고
    • A biologically inspired algorithm for the recovery of shading and reflectance images
    • A. Olmos and F. A. Kingdom, "A biologically inspired algorithm for the recovery of shading and reflectance images," Perception, vol. 33, no. 12, pp. 1463-1473, 2004.
    • (2004) Perception , vol.33 , Issue.12 , pp. 1463-1473
    • Olmos, A.1    Kingdom, F.A.2
  • 81
    • 84897056830 scopus 로고    scopus 로고
    • Analysis of scores, datasets, models in visual saliency prediction
    • Sydney, NSW, Australia, Dec.
    • A. Borji, H. R. Tavakoli, D. N. Sihite, L. Itti, "Analysis of scores, datasets, models in visual saliency prediction," in Proc. 14th IEEE Int. Conf. Comput. Vis., Sydney, NSW, Australia, Dec. 2013, pp. 921-928.
    • (2013) Proc. 14th IEEE Int. Conf. Comput. Vis. , pp. 921-928
    • Borji, A.1    Tavakoli, H.R.2    Sihite, D.N.3    Itti, L.4
  • 83
    • 84878629490 scopus 로고    scopus 로고
    • A benchmark of computational models of saliency to predict human fixations
    • Cambridge, MA, USA, Tech. Rep. MIT-CSAIL-TR-2012-001
    • T. Judd, F. Durand, A. Torralba, "A benchmark of computational models of saliency to predict human fixations," Dept. Comput. Graph., Massachusetts Inst. Technol., Cambridge, MA, USA, Tech. Rep. MIT-CSAIL-TR-2012-001, 2012.
    • (2012) Dept. Comput. Graph., Massachusetts Inst. Technol.
    • Judd, T.1    Durand, F.2    Torralba, A.3
  • 85
    • 49649092814 scopus 로고    scopus 로고
    • Neural basis for unique hues
    • Aug.
    • C. M. Stoughton and B. R. Conway, "Neural basis for unique hues," Current Biol., vol. 18, no. 6, pp. R698-R699, Aug. 2008.
    • (2008) Current Biol. , vol.18 , Issue.6 , pp. R698-R699
    • Stoughton, C.M.1    Conway, B.R.2
  • 86
    • 84931578352 scopus 로고    scopus 로고
    • Light field saliency vs. 2D saliency: A comparative study
    • Oct.
    • X. Zhang, Y. Wang, J. Zhang, L. Hu, M. Wang, "Light field saliency vs. 2D saliency: A comparative study," Neurocomputing, vol. 166, pp. 389-396, Oct. 2015.
    • (2015) Neurocomputing , vol.166 , pp. 389-396
    • Zhang, X.1    Wang, Y.2    Zhang, J.3    Hu, L.4    Wang, M.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.