• Laser & Optoelectronics Progress
  • Vol. 55, Issue 7, 71002 (2018)
Chu Jinghui, Gu Huimin*, and Su Yuting
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.3788/lop55.071002 Cite this Article Set citation alerts
    Chu Jinghui, Gu Huimin, Su Yuting. Image Memorability Prediction Model Based on Low-Rank Representation Learning[J]. Laser & Optoelectronics Progress, 2018, 55(7): 71002 Copy Citation Text show less
    References

    [1] Isola P, Xiao J, Torralba A, et al. What makes an image memorable [C]. IEEE Conference on Computer Vision and Pattern Recognition, 2011: 145-152.

    [2] Chen C Y, Han J W, Hu X T, et al. Image memorability model based on visual saliency entropy and Object Bank feature[J]. Journal of Computer Applications, 2013, 33(11): 3176-3178.

    [3] Isola P, Parikh D, Torralba A, et al. Understanding the intrinsic memorability of images[C]. International Conference on Neural Information Processing Systems, 2011: 2429-2437.

    [4] Khosla A, Raju A S, Torralba A, et al. Understanding and predicting image memorability at a large scale[C]. IEEE International Conference on Computer Vision, 2015: 2390-2398.

    [5] Peng H, Li K, Li B, et al. Predicting image memorability by multi-view adaptive regression[C]. International Conference on Multimedia, 2015: 1147-1150.

    [6] Jing P, Su Y, Nie L, et al. Predicting image memorability through adaptive transfer learning from external sources[J]. IEEE Transactions on Multimedia, 2017, 19(5): 1050-1062.

    [7] Xue Z X, Yu X C, Tan X, et al. Local hypergraph Laplacian regularized low-rank representation for noise reduction of hyperspectral images[J]. Acta Optica Sinica, 2017, 37(5): 0510001.

    [8] Ma L, Wang C, Xiao B, et al. Sparse representation for face recognition based on discriminative low-rank dictionary learning[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2012: 2586-2593.

    [9] Weng J W, Tan S Y. Imaging resolution of self-interference incoherent digital holographic system[J]. Chinese Journal of Lasers, 2016, 43(6): 0609006.

    [10] Liu F, Liu P Y, Li B, et al. Deep learning model design of video target tracking based on TensorFlow platform[J]. Laser & Optoelectronics Progress, 2017, 54(9): 091501.

    [11] Li J, Chang H, Yang J. Learning discriminative low-rank representation for image classification[C]. International Joint Conference on Neural Networks, 2014: 313-318.

    [12] Liu G C,Lin Z C,Yan S C,et al.Robust recovery of subspace structures by low-rank representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(1): 171-184.

    [13] Lian Q S, Xia C C. Compressed sensing of color images based on local Gaussian model in the dual-tree complex wavelet[J]. Laser & Optoelectronics Progress, 2011, 48(10): 101001.

    [14] Lin Z, Liu R, Su Z. Linearized alternating direction method with adaptive penalty for low-rank representation[J]. Advances in Neural Information Processing Systems, 2011: 612-620.

    [15] Hou Y Q, Jin M Y, He X W, et al. Fluorescence molecular tomography using a stochastic variant of alternating direction method of multipliers[J]. Acta Optica Sinica, 2017, 37(7): 0717001.

    [16] Xiao J, Hays J, Ehinger K A, et al. SUN database: Large-scale scene recognition from abbey to zoo[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2010: 3485-3492.

    [17] Russell B C, Torralba A, Murphy K P, et al. LabelMe: A database and web-based tool for image annotation[J]. International Journal of Computer Vision, 2008, 77: 157-173.

    [18] Chong W, Sha Y Z, Xing H Y, et al. A new correction algorithm for diffuse irradiance measured with rotating shadow-band pyranometer based on support vector regression[J]. Acta Optica Sinica, 2012, 32(1): 0112001.

    [19] Lu Y, Dhillon P S, Foster D, et al. Faster ridge regression via the subsampled randomized hadamard transform[C]. International Conference on Neural Information Processing Systems, 2013: 369-377.

    [20] Hou C, Nie F, Yi D, et al. Efficient image classification via multiple rank regression[J]. IEEE Transactions on Image Processing, 2013, 22(1): 340-352.

    [21] Yang Y, Song J, Huang Z, et al. Multi-feature fusion via hierarchical regression for multimedia analysis[J]. IEEE Transactions on Multimedia, 2013, 15(3): 572-581.

    Chu Jinghui, Gu Huimin, Su Yuting. Image Memorability Prediction Model Based on Low-Rank Representation Learning[J]. Laser & Optoelectronics Progress, 2018, 55(7): 71002
    Download Citation