메뉴 건너뛰기




Volumn , Issue , 2014, Pages 3286-3293

BING: Binarized normed gradients for objectness estimation at 300fps

Author keywords

binary coding; detection; Objectness; proposals; realtime; saliency; visual attention

Indexed keywords

BEHAVIORAL RESEARCH; ERROR DETECTION; OBJECT RECOGNITION;

EID: 84911456915     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.414     Document Type: Conference Paper
Times cited : (989)

References (60)
  • 3
    • 84866688216 scopus 로고    scopus 로고
    • Measuring the object-ness of image windows
    • B. Alexe, T. Deselaers, and V. Ferrari. Measuring the object-ness of image windows. IEEE TPAMI, 34(11), 2012.
    • (2012) IEEE TPAMI , vol.34 , Issue.11
    • Alexe, B.1    Deselaers, T.2    Ferrari, V.3
  • 4
    • 84867851908 scopus 로고    scopus 로고
    • Quantitative analysis of human-model agreement in visual saliency modeling: A comparative study
    • A. Borji, D. Sihite, and L. Itti. Quantitative analysis of human-model agreement in visual saliency modeling: A comparative study. IEEE TIP, 2012.
    • (2012) IEEE TIP
    • Borji, A.1    Sihite, D.2    Itti, L.3
  • 5
    • 84883229216 scopus 로고    scopus 로고
    • Salient object detection: A benchmark
    • A. Borji, D. N. Sihite, and L. Itti. Salient object detection: A benchmark. In ECCV, 2012.
    • (2012) ECCV
    • Borji, A.1    Sihite, D.N.2    Itti, L.3
  • 6
    • 84861335581 scopus 로고    scopus 로고
    • CPMC: Automatic object segmentation using constrained parametric min-cuts
    • J. Carreira and C. Sminchisescu. CPMC: Automatic object segmentation using constrained parametric min-cuts. IEEE TPAMI, 34(7):1312-1328, 2012.
    • (2012) IEEE TPAMI , vol.34 , Issue.7 , pp. 1312-1328
    • Carreira, J.1    Sminchisescu, C.2
  • 7
    • 77749271171 scopus 로고    scopus 로고
    • Sketch2photo: Internet image montage
    • T. Chen, M.-M. Cheng, P. Tan, A. Shamir, and S.-M. Hu. Sketch2photo: Internet image montage. ACM TOG, 28(5):124:1-10, 2009.
    • (2009) ACM TOG , vol.28 , Issue.5 , pp. 1241-1310
    • Chen, T.1    Cheng, M.-M.2    Tan, P.3    Shamir, A.4    Hu, S.-M.5
  • 8
    • 84875631789 scopus 로고    scopus 로고
    • Poseshop: Human image database construction and personalized content synthesis
    • T. Chen, P. Tan, L.-Q. Ma, M.-M. Cheng, A. Shamir, and S.M. Hu. Poseshop: Human image database construction and personalized content synthesis. IEEE TVCG, 19(5), 2013.
    • (2013) IEEE TVCG , vol.19 , Issue.5
    • Chen, T.1    Tan, P.2    Ma, L.-Q.3    Cheng, M.-M.4    Shamir, A.5    Hu, S.M.6
  • 9
    • 84911442009 scopus 로고    scopus 로고
    • Actionness ranking with lattice conditional ordinal random fields
    • W. Chen, C. Xiong, and J. J. Corso. Actionness ranking with lattice conditional ordinal random fields. In CVPR, 2014.
    • (2014) CVPR
    • Chen, W.1    Xiong, C.2    Corso, J.J.3
  • 13
    • 77956410897 scopus 로고    scopus 로고
    • RepFinder: Finding approximately repeated scene elements for image editing
    • M.-M. Cheng, F.-L. Zhang, N. J. Mitra, X. Huang, and S.M. Hu. RepFinder: Finding Approximately Repeated Scene Elements for Image Editing. ACM TOG, 29(4):83:1-8, 2010.
    • (2010) ACM TOG , vol.29 , Issue.4 , pp. 831-838
    • Cheng, M.-M.1    Zhang, F.-L.2    Mitra, N.J.3    Huang, X.4    Hu, S.M.5
  • 14
  • 17
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, volume 1, pages 886-893, 2005.
    • (2005) CVPR , vol.1 , pp. 886-893
    • Dalal, N.1    Triggs, B.2
  • 19
    • 85198028989 scopus 로고    scopus 로고
    • Imagenet: A large-scale hierarchical image database
    • J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. FeiFei. Imagenet: A large-scale hierarchical image database. In CVPR, pages 248-255, 2009.
    • (2009) CVPR , pp. 248-255
    • Deng, J.1    Dong, W.2    Socher, R.3    Li, L.-J.4    Li, K.5    Feifei, L.6
  • 21
    • 78149308041 scopus 로고    scopus 로고
    • Category independent object proposals
    • I. Endres and D. Hoiem. Category independent object proposals. In ECCV, pages 575-588. 2010.
    • (2010) ECCV , pp. 575-588
    • Endres, I.1    Hoiem, D.2
  • 22
    • 84911427014 scopus 로고    scopus 로고
    • Category-independent object proposals with diverse ranking
    • to appear
    • I. Endres and D. Hoiem. Category-independent object proposals with diverse ranking. IEEE TPAMI, to appear.
    • IEEE TPAMI
    • Endres, I.1    Hoiem, D.2
  • 25
    • 77955422240 scopus 로고    scopus 로고
    • Object detection with discriminatively trained part-based models
    • P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ra-manan. Object detection with discriminatively trained part-based models. IEEE TPAMI, 32(9):1627-1645, 2010.
    • (2010) IEEE TPAMI , vol.32 , Issue.9 , pp. 1627-1645
    • Felzenszwalb, P.F.1    Girshick, R.B.2    McAllester, D.3    Ra-Manan, D.4
  • 27
    • 0032576719 scopus 로고    scopus 로고
    • The representation of visual salience in monkey parietal cortex
    • J. P. Gottlieb, M. Kusunoki, and M. E. Goldberg. The representation of visual salience in monkey parietal cortex. Nature, 391(6666):481-484, 1998.
    • (1998) Nature , vol.391 , Issue.6666 , pp. 481-484
    • Gottlieb, J.P.1    Kusunoki, M.2    Goldberg, M.E.3
  • 28
    • 84866704892 scopus 로고    scopus 로고
    • Efficient online structured output learning for keypoint-based object tracking
    • S. Hare, A. Saffari, and P. H. Torr. Efficient online structured output learning for keypoint-based object tracking. In CVPR, pages 1894-1901, 2012.
    • (2012) CVPR , pp. 1894-1901
    • Hare, S.1    Saffari, A.2    Torr, P.H.3
  • 29
    • 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
  • 30
    • 77953202990 scopus 로고    scopus 로고
    • Combining efficient object localization and image classification
    • H. Harzallah, F. Jurie, and C. Schmid. Combining efficient object localization and image classification. In ICCV, 2009.
    • (2009) ICCV
    • Harzallah, H.1    Jurie, F.2    Schmid, C.3
  • 31
    • 84866651203 scopus 로고    scopus 로고
    • Mobile product search with bag of hash bits and boundary reranking
    • J. He, J. Feng, X. Liu, T. Cheng, T.-H. Lin, H. Chung, and S.-F. Chang. Mobile product search with bag of hash bits and boundary reranking. In CVPR, pages 3005-3012, 2012.
    • (2012) CVPR , pp. 3005-3012
    • He, J.1    Feng, J.2    Liu, X.3    Cheng, T.4    Lin, T.-H.5    Chung, H.6    Chang, S.-F.7
  • 32
    • 56749104177 scopus 로고    scopus 로고
    • Learning spatial context: Using stuff to find things
    • G. Heitz and D. Koller. Learning spatial context: Using stuff to find things. In ECCV, pages 30-43. 2008.
    • (2008) ECCV , pp. 30-43
    • Heitz, G.1    Koller, D.2
  • 33
    • 35148814949 scopus 로고    scopus 로고
    • Saliency detection: A spectral residual approach
    • X. Hou and L. Zhang. Saliency detection: A spectral residual approach. In CVPR, pages 1-8, 2007.
    • (2007) CVPR , pp. 1-8
    • Hou, X.1    Zhang, L.2
  • 34
    • 84898601494 scopus 로고    scopus 로고
    • Internet visual media processing: A survey with graphics and vision applications
    • S.-M. Hu, T. Chen, K. Xu, M.-M. Cheng, and R. R. Martin. Internet visual media processing: a survey with graphics and vision applications. The Visual Computer, pages 1-13, 2013.
    • (2013) The Visual Computer , pp. 1-13
    • Hu, S.-M.1    Chen, T.2    Xu, K.3    Cheng, M.-M.4    Martin, R.R.5
  • 35
    • 82455188166 scopus 로고    scopus 로고
    • Arcimboldo-like collage using internet images
    • H. Huang, L. Zhang, and H.-C. Zhang. Arcimboldo-like collage using internet images. ACM TOG, 30, 2011.
    • (2011) ACM TOG , vol.30
    • Huang, H.1    Zhang, L.2    Zhang, H.-C.3
  • 36
    • 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 TPAMI, 20(11):1254-1259, 1998.
    • (1998) IEEE TPAMI , vol.20 , Issue.11 , pp. 1254-1259
    • Itti, L.1    Koch, C.2    Niebur, E.3
  • 38
    • 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 Neurbiology, 4:219-227, 1985.
    • (1985) Human Neurbiology , vol.4 , pp. 219-227
    • Koch, C.1    Ullman, S.2
  • 39
    • 51949099868 scopus 로고    scopus 로고
    • Beyond sliding windows: Object localization by efficient subwindow search
    • C. H. Lampert, M. B. Blaschko, and T. Hofmann. Beyond sliding windows: Object localization by efficient subwindow search. In CVPR, pages 1-8, 2008.
    • (2008) CVPR , pp. 1-8
    • Lampert, C.H.1    Blaschko, M.B.2    Hofmann, T.3
  • 40
    • 84911400874 scopus 로고    scopus 로고
    • The secrets of salient object segmentation
    • Y. Li, X. Hou, C. Koch, J. Rehg, and A. Yuille. The secrets of salient object segmentation. In CVPR, 2014.
    • (2014) CVPR
    • Li, Y.1    Hou, X.2    Koch, C.3    Rehg, J.4    Yuille, A.5
  • 42
    • 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, 2003.
    • (2003) ACM Multimedia
    • Ma, Y.-F.1    Zhang, H.-J.2
  • 43
    • 51949098112 scopus 로고    scopus 로고
    • Classification using intersection kernel support vector machines is efficient
    • S. Maji, A. C. Berg, and J. Malik. Classification using intersection kernel support vector machines is efficient. In CVPR, pages 1-8, 2008.
    • (2008) CVPR , pp. 1-8
    • Maji, S.1    Berg, A.C.2    Malik, J.3
  • 44
    • 9644260534 scopus 로고    scopus 로고
    • Scale & affine invariant interest point detectors
    • K. Mikolajczyk and C. Schmid. Scale & affine invariant interest point detectors. IJCV, 60(1):63-86, 2004.
    • (2004) IJCV , vol.60 , Issue.1 , pp. 63-86
    • Mikolajczyk, K.1    Schmid, C.2
  • 45
    • 84911429815 scopus 로고    scopus 로고
    • Generating object segmentation proposals using global and local search
    • R. P. and K. J. . R. E.
    • R. P. and K. J. . R. E. Generating object segmentation proposals using global and local search. In CVPR, 2014.
    • (2014) CVPR
  • 46
    • 84866667038 scopus 로고    scopus 로고
    • Saliency filters: Contrast based filtering for salient region detection
    • F. Perazzi, P. Krähenbühl, Y. Pritch, and A. Hornung. Saliency filters: Contrast based filtering for salient region detection. In CVPR, pages 733-740, 2012.
    • (2012) CVPR , pp. 733-740
    • Perazzi, F.1    Krähenbühl, P.2    Pritch, Y.3    Hornung, A.4
  • 47
    • 84965191221 scopus 로고
    • Physiological psychology
    • H. Teuber. Physiological psychology. Annual Review of Psychology, 6(1):267-296, 1955.
    • (1955) Annual Review of Psychology , vol.6 , Issue.1 , pp. 267-296
    • Teuber, H.1
  • 49
    • 84856655938 scopus 로고    scopus 로고
    • Segmentation as selective search for object recognition
    • K. E. van de Sande, J. R. Uijlings, T. Gevers, and A. W. Smeulders. Segmentation as selective search for object recognition. In ICCV, pages 1879-1886, 2011.
    • (2011) ICCV , pp. 1879-1886
    • Sande De Van, K.E.1    Uijlings, J.R.2    Gevers, T.3    Smeulders, A.W.4
  • 51
    • 84856194352 scopus 로고    scopus 로고
    • Efficient additive kernels via explicit feature maps
    • A. Vedaldi and A. Zisserman. Efficient additive kernels via explicit feature maps. IEEE TPAMI, 34(3):480-492, 2012.
    • (2012) IEEE TPAMI , vol.34 , Issue.3 , pp. 480-492
    • Vedaldi, A.1    Zisserman, A.2
  • 52
    • 0035680116 scopus 로고    scopus 로고
    • Rapid object detection using a boosted cascade of simple features
    • P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In CVPR, 2001.
    • (2001) CVPR
    • Viola, P.1    Jones, M.2
  • 53
    • 84898769710 scopus 로고    scopus 로고
    • Regionlets for generic object detection
    • X. Wang, M. Yang, S. Zhu, and Y. Lin. Regionlets for generic object detection. In ICCV, 2013.
    • (2013) ICCV
    • Wang, X.1    Yang, M.2    Zhu, S.3    Lin, Y.4
  • 54
    • 2642558848 scopus 로고    scopus 로고
    • What attributes guide the deployment of visual attention and how do they do it?
    • J. M. Wolfe and T. S. Horowitz. What attributes guide the deployment of visual attention and how do they do it? Nature Reviews Neuroscience, pages 5:1-7, 2004.
    • (2004) Nature Reviews Neuroscience , pp. 1-7
    • Wolfe, J.M.1    Horowitz, T.S.2
  • 55
    • 84887322898 scopus 로고    scopus 로고
    • Hierarchical saliency detection
    • Q. Yan, L. Xu, J. Shi, and J. Jia. Hierarchical saliency detection. In CVPR, 2013.
    • (2013) CVPR
    • Yan, Q.1    Xu, L.2    Shi, J.3    Jia, J.4
  • 57
    • 80052875231 scopus 로고    scopus 로고
    • Proposal generation for object detection using cascaded ranking svms
    • Z. Zhang, J. Warrell, and P. H. Torr. Proposal generation for object detection using cascaded ranking svms. In CVPR, pages 1497-1504, 2011.
    • (2011) CVPR , pp. 1497-1504
    • Zhang, Z.1    Warrell, J.2    Torr, P.H.3
  • 59
    • 84911427656 scopus 로고    scopus 로고
    • Approximate structured output learning for constrained local models with application to real-time facial feature detection and tracking on low-power devices
    • S. Zheng, P. Sturgess, and P. H. S. Torr. Approximate structured output learning for constrained local models with application to real-time facial feature detection and tracking on low-power devices. In IEEE FG, 2013.
    • (2013) IEEE FG
    • Zheng, S.1    Sturgess, P.2    Torr, P.H.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.