Laser & Optoelectronics Progress, Volume. 56, Issue 20, 201004(2019)

Image Annotation Based on Convolutional Neural Network and Topic Model

Lei Zhang* and Ming Cai
Author Affiliations
  • School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
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    References(18)

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    [7] Guillaumin M, Mensink T, Verbeek J et al. TagProp: discriminative metric learning in nearest neighbor models for image auto-annotation. [C]∥2009 IEEE 12th International Conference on Computer Vision, September 29-October 2, 2009, Kyoto, Japan. New York: IEEE, 309-316(2009).

    [11] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 770-778(2016).

    [12] Murthy V N, Maji S, Manmatha R. Automatic image annotation using deep learning representations. [C]∥Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, June 23-26, 2015, Shanghai, China. New York: ACM, 603-606(2015).

    [16] Zhuang F Z, Luo P, He Q et al. Survey on transfer learning research[J]. Journal of Software, 26, 26-29(2015).

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    Lei Zhang, Ming Cai. Image Annotation Based on Convolutional Neural Network and Topic Model[J]. Laser & Optoelectronics Progress, 2019, 56(20): 201004

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    Paper Information

    Category: Image Processing

    Received: Mar. 20, 2019

    Accepted: Apr. 26, 2019

    Published Online: Oct. 22, 2019

    The Author Email: Lei Zhang (289253808@qq.com)

    DOI:10.3788/LOP56.201004

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