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Volumn , Issue , 2013, Pages 1131-1138

Saliency aggregation: A data-driven approach

Author keywords

[No Author keywords available]

Indexed keywords

AGGREGATION METHODS; AGGREGATION MODEL; CONDITIONAL RANDOM FIELD; DATA-DRIVEN APPROACH; PERFORMANCE GAPS; SALIENCY ANALYSIS; TRAINING DATA SETS; VISUAL SALIENCY;

EID: 84887368846     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.150     Document Type: Conference Paper
Times cited : (153)

References (46)
  • 4
    • 84887344616 scopus 로고    scopus 로고
    • Boosting bottom-up and top-down visual features for saliency estimation
    • A. Borji. Boosting bottom-up and top-down visual features for saliency estimation. In IEEE CVPR, 2012.
    • (2012) IEEE CVPR
    • Borji, A.1
  • 6
    • 80052948224 scopus 로고    scopus 로고
    • Global contrast based salient region detection
    • M. Cheng, G. Zhang, N. J. Mitra, X. Huang, and S. Hu. Global contrast based salient region detection. In IEEE CVPR, pages 409-416, 2011.
    • (2011) IEEE CVPR , pp. 409-416
    • Cheng, M.1    Zhang, G.2    Mitra, N.J.3    Huang, X.4    Hu, S.5
  • 8
    • 0043201346 scopus 로고    scopus 로고
    • Inferring region salience from binary and gray-level images
    • Y. Cohen and R. Basri. Inferring region salience from binary and gray-level images. Pattern recognition, 36:2349-2362, 2003.
    • (2003) Pattern Recognition , vol.36 , pp. 2349-2362
    • Cohen, Y.1    Basri, R.2
  • 11
    • 45249100930 scopus 로고    scopus 로고
    • On the plausibility of the discriminant center-surround hypothesis for visual saliency
    • D. Gao, V. Mahadevan, and N. Vasconcelos. On the plausibility of the discriminant center-surround hypothesis for visual saliency. Journal of Vision, 8:1-18, 2008.
    • (2008) Journal of Vision , vol.8 , pp. 1-18
    • Gao, D.1    Mahadevan, V.2    Vasconcelos, N.3
  • 13
    • 70450199650 scopus 로고    scopus 로고
    • Random walks on graphs to model saliency in images
    • V. Gopalakrishnan, Y. Hu, and D. Rajan. Random walks on graphs to model saliency in images. In IEEE CVPR, pages 1698-1705, 2009.
    • (2009) IEEE CVPR , pp. 1698-1705
    • Gopalakrishnan, V.1    Hu, Y.2    Rajan, D.3
  • 14
    • 84864037603 scopus 로고    scopus 로고
    • Graph-based visual saliency
    • J. Harel, C. Koch, and P. Perona. Graph-based visual saliency. In NIPS, pages 545-552, 2006.
    • (2006) NIPS , pp. 545-552
    • Harel, J.1    Koch, C.2    Perona, P.3
  • 15
    • 44149127938 scopus 로고    scopus 로고
    • Saliency detection: A spectral residual approach
    • X. Hou and L. Zhang. Saliency detection: A spectral residual approach. In IEEE CVPR, 2007.
    • (2007) IEEE CVPR
    • Hou, X.1    Zhang, L.2
  • 16
    • 0034003645 scopus 로고    scopus 로고
    • A saliency-based search mechanism for overt and covert shifts of visual attention
    • L. Itti and C. Koch. A saliency-based search mechanism for overt and covert shifts of visual attention. Vision Research, 40:1489-1506, 2000.
    • (2000) Vision Research , vol.40 , pp. 1489-1506
    • Itti, L.1    Koch, C.2
  • 17
    • 0035286497 scopus 로고    scopus 로고
    • Computational modeling of visual attention
    • L. Itti and C. Koch. Computational modeling of visual attention. Nature reviews neuroscience, 2:194-203, 2001.
    • (2001) Nature Reviews Neuroscience , vol.2 , pp. 194-203
    • Itti, L.1    Koch, C.2
  • 18
    • 0032204063 scopus 로고    scopus 로고
    • A model of saliency-based visual attention for rapid scene analysis
    • L. Itti, C. Koch, and E. Niebur. A model of saliency-based visual attention for rapid scene analysis. IEEE Trans. Pattern Anal. Mach. Intell., 20:1254-1259, 1998.
    • (1998) IEEE Trans. Pattern Anal. Mach. Intell. , vol.20 , pp. 1254-1259
    • Itti, L.1    Koch, C.2    Niebur, E.3
  • 20
    • 50849127889 scopus 로고    scopus 로고
    • Segmentation of salient regions outdoor scenes using imagery and 3-d data
    • G. Kim, D. Huber, and M. Hebert. Segmentation of salient regions in outdoor scenes using imagery and 3-d data. In IEEE WACV, 2008.
    • (2008) IEEE WACV
    • Kim, G.1    Huber, D.2    Hebert, M.3
  • 26
    • 2342589340 scopus 로고    scopus 로고
    • Contrast-based image attention analysis by using fuzzy growing
    • Y.-F. Ma and H.-J. Zhang. Contrast-based image attention analysis by using fuzzy growing. In ACM Multimedia, pages 374-381, 2003.
    • (2003) ACM Multimedia , pp. 374-381
    • Ma, Y.-F.1    Zhang, H.-J.2
  • 28
    • 80052913631 scopus 로고    scopus 로고
    • A framework for visual saliency detection with applications to image thumbnailing
    • L. Marchesotti, C. Cifarelli, and G. Csurka. A framework for visual saliency detection with applications to image thumbnailing. In IEEE ICCV, 2009.
    • (2009) IEEE ICCV
    • Marchesotti, L.1    Cifarelli, C.2    Csurka, G.3
  • 30
    • 80052890815 scopus 로고    scopus 로고
    • Saliency estimation using a non-parametric low-level vision model
    • N. Murray, M. Vanrell, X. Otazu, and C. Parraga. Saliency estimation using a non-parametric low-level vision model. In IEEE CVPR, pages 433-440, 2011.
    • (2011) IEEE CVPR , pp. 433-440
    • Murray, N.1    Vanrell, M.2    Otazu, X.3    Parraga, C.4
  • 31
    • 84887357004 scopus 로고    scopus 로고
    • Leveraging stereopsis for saliency analysis
    • Y. Niu, Y. Geng, X. Li, and F. Liu. Leveraging stereopsis for saliency analysis. In IEEE CVPR, 2012.
    • (2012) IEEE CVPR
    • Niu, Y.1    Geng, Y.2    Li, X.3    Liu, F.4
  • 32
    • 77956000514 scopus 로고    scopus 로고
    • Warp propagation for video resizing
    • Y. Niu, F. Liu, X. Li, and M. Gleicher. Warp propagation for video resizing. In IEEE CVPR, pages 537-544, 2010.
    • (2010) IEEE CVPR , pp. 537-544
    • Niu, Y.1    Liu, F.2    Li, X.3    Gleicher, M.4
  • 33
    • 0034004665 scopus 로고    scopus 로고
    • Salience from feature contrast: Additivity across dimensions
    • H. Nothdurft. Salience from feature contrast: additivity across dimensions. Vision Research, 40(10-12):1183-1201, 2000.
    • (2000) Vision Research , vol.40 , Issue.10-12 , pp. 1183-1201
    • Nothdurft, H.1
  • 34
    • 0035328421 scopus 로고    scopus 로고
    • Modeling the shape of the scene: A holistic representation of the spatial envelope
    • A. Oliva and A. Torralba. Modeling the shape of the scene: A holistic representation of the spatial envelope. International Journal of Computer Vision, 42:145-175, 2001.
    • (2001) International Journal of Computer Vision , vol.42 , pp. 145-175
    • Oliva, A.1    Torralba, A.2
  • 35
    • 84887355310 scopus 로고    scopus 로고
    • Saliency filters: Contrast based filtering for salient region detection
    • F. Perazzi, P. Krhenbl, Y. Pritch, and A. Hornung. Saliency filters: Contrast based filtering for salient region detection. In IEEE CVPR, 2012.
    • (2012) IEEE CVPR
    • Perazzi, F.1    Krhenbl, P.2    Pritch, Y.3    Hornung, A.4
  • 36
    • 84887334813 scopus 로고    scopus 로고
    • Discriminative spatial saliency for image classification
    • G. Sharma, F. Jurie, and C. Schmid. Discriminative Spatial Saliency for Image Classification. In IEEE CVPR, 2012.
    • (2012) IEEE CVPR
    • Sharma, G.1    Jurie, F.2    Schmid, C.3
  • 37
    • 84886363588 scopus 로고    scopus 로고
    • A unified approach to salient object detection via low rank matrix recovery
    • X. Shen and Y. Wu. A unified approach to salient object detection via low rank matrix recovery. In IEEE CVPR, 2012.
    • (2012) IEEE CVPR
    • Shen, X.1    Wu, Y.2
  • 39
    • 84887373586 scopus 로고    scopus 로고
    • What are we looking for: Towards statistical modeling of saccadic eye movements and visual saliency
    • X. Sun, H. Yao, and R. Ji. What are we looking for: Towards statistical modeling of saccadic eye movements and visual saliency. In IEEE CVPR, 2012.
    • (2012) IEEE CVPR
    • Sun, X.1    Yao, H.2    Ji, R.3
  • 40
    • 59049093841 scopus 로고    scopus 로고
    • Contextual influences on saliency
    • A. Torralba. Contextual influences on saliency. Neurobiology of attention, pages 586-593, 2005.
    • (2005) Neurobiology of Attention , pp. 586-593
    • Torralba, A.1
  • 41
    • 0018878142 scopus 로고
    • A feature-integration theory of attention
    • A. Treisman and G. Gelade. A feature-integration theory of attention. Cognitive Psychology, 12:97-136, 1980.
    • (1980) Cognitive Psychology , vol.12 , pp. 97-136
    • Treisman, A.1    Gelade, G.2
  • 42
    • 80052879376 scopus 로고    scopus 로고
    • Image saliency: From intrinsic to extrinsic context
    • M. Wang, J. Konrad, P. Ishwar, K. Jing, and H. Rowley. Image saliency: From intrinsic to extrinsic context. In IEEE CVPR, pages 417-424, 2011.
    • (2011) IEEE CVPR , pp. 417-424
    • Wang, M.1    Konrad, J.2    Ishwar, P.3    Jing, K.4    Rowley, H.5
  • 43
    • 84887330521 scopus 로고    scopus 로고
    • Salient object detection for searched web images via global saliency
    • P. Wang, J. Wang, G. Zeng, J. Feng, and H. Zha. Salient object detection for searched web images via global saliency. In IEEE CVPR, 2012.
    • (2012) IEEE CVPR
    • Wang, P.1    Wang, J.2    Zeng, G.3    Feng, J.4    Zha, H.5
  • 44
    • 84887344857 scopus 로고    scopus 로고
    • Geodesic saliency using background priors
    • Y. Wei, F. Wen,W. Zhu, and J. Suni. Geodesic saliency using background priors. In ECCV, 2012.
    • (2012) ECCV
    • Wei, Y.1    Wen, F.2    Zhu, W.3    Suni, J.4
  • 45
    • 84887341933 scopus 로고    scopus 로고
    • Top-down visual saliency via joint crf and dictionary learning
    • J. Yang and M.-H. Yang. Top-down visual saliency via joint crf and dictionary learning. In IEEE CVPR, 2012.
    • (2012) IEEE CVPR
    • Yang, J.1    Yang, M.-H.2
  • 46
    • 34547210110 scopus 로고    scopus 로고
    • Visual attention detection video sequences using spatiotemporal cues
    • Y. Zhai and M. Shah. Visual attention detection in video sequences using spatiotemporal cues. In ACM Multimedia, pages 815-824, 2006.
    • (2006) ACM Multimedia , pp. 815-824
    • Zhai, Y.1    Shah, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.