Journal of Terahertz Science and Electronic Information Technology , Volume. 18, Issue 2, 306(2020)

Violent image annotation using ensemble learning

YAN Liang, ZHOU Xin, HE Xiaohai*, XIONG Shuhua, and QING Linbo
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    References(46)

    [1] [1] (3):144-150.)

    [2] [2] annotation algorithm using deep Boltzmann machine and canonical correlation analysis[J]. Journal of Xi’an Jiaotong University, 2015,49(6):33-38.)

    [3] [3] Knowledge Technology. Urmia,Iran:IEEE, 2015:1-7.

              MAJIDPOUR J,KHEZRI E,HASSANZADE H,et al. Interactive tool to improve the automatic image annotation using MPEG-7 and multi-class SVM[C]// IEEE Conference on Information and Knowledge Technology. Urmia,Iran:IEEE, 2015:1-7.

              MAJIDPOUR J,KHEZRI E,HASSANZADE H,et al. Interactive tool to improve the automatic image annotation using MPEG-7 and multi-class SVM[C]// IEEE Conference on Information and

              MAJIDPOUR J,KHEZRI E,HASSANZADE H,et al. Interactive tool to improve the automatic image annotation using MPEG-7 and multi-class SVM[C]// IEEE Conference on Information and Knowledge Technology. Urmia,Iran:IEEE, 2015:1-7.

    [4] [4] MEHMOOD Z,MAHMOOD T,JAVID M A. Content-based image retrieval and semantic automatic image annotation based on the weighted average of triangular histograms using support vector

              MEHMOOD Z,MAHMOOD T,JAVID M A. Content-based image retrieval and semantic automatic image annotation based on the weighted average of triangular histograms using support vector machine[J]. Applied Intelligence, 2018,48(1):166-181.

              MEHMOOD Z,MAHMOOD T,JAVID M A. Content-based image retrieval and semantic automatic image annotation based on the weighted average of triangular histograms using support vector machine[J]. Applied Intelligence, 2018,48(1):166-181.

              machine[J]. Applied Intelligence, 2018,48(1):166-181.

    [5] [5] JI Q,ZHANG L,LI Z. KNN-based image annotation by collectively mining visual and semantic similarities[J]. KSII Transactions on Internet & Information Systems, 2017,11(9):4476-4490.

              JI Q,ZHANG L,LI Z. KNN-based image annotation by collectively mining visual and semantic similarities[J]. KSII Transactions on Internet & Information Systems, 2017,11(9):4476-4490.

              JI Q,ZHANG L,LI Z. KNN-based image annotation by collectively mining visual and semantic similarities[J]. KSII Transactions on Internet & Information Systems, 2017,11(9):4476-4490.

    [6] [6] Shanghai,China:ACM, 2015:403-410.

              SU F,XUE L. Graph learning on K nearest neighbors for automatic image annotation[C]// Proceedings of the 5th ACM on International Conference on Multimedia Retrieval. Shanghai,China:ACM, 2015:403-410.

              SU F,XUE L. Graph learning on K nearest neighbors for automatic image annotation[C]// Proceedings of the 5th ACM on International Conference on Multimedia Retrieval.

              SU F,XUE L. Graph learning on K nearest neighbors for automatic image annotation[C]// Proceedings of the 5th ACM on International Conference on Multimedia Retrieval. Shanghai,China:ACM, 2015:403-410.

    [7] [7] ZHANG W,HU H,HU H. Training visual-semantic embedding network for boosting automatic image annotation[J]. Neural Processing Letters, 2018,48(3):1503-1519.

              ZHANG W,HU H,HU H. Training visual-semantic embedding network for boosting automatic image annotation[J]. Neural Processing Letters, 2018,48(3):1503-1519.

              ZHANG W,HU H,HU H. Training visual-semantic embedding network for boosting automatic image annotation[J]. Neural Processing Letters, 2018,48(3):1503-1519.

    [8] [8] [J]. Application Research of Computers, 2018,321(7):308-310.)

    [9] [9] FAKHARI A,MOGHADAM A M E. Combination of classification and regression in decision tree for multi-labeling image annotation and retrieval[J]. Applied Soft Computing, 2013,13

              FAKHARI A,MOGHADAM A M E. Combination of classification and regression in decision tree for multi-labeling image annotation and retrieval[J]. Applied Soft Computing, 2013,13 (2):1292-1302.

              FAKHARI A,MOGHADAM A M E. Combination of classification and regression in decision tree for multi-labeling image annotation and retrieval[J]. Applied Soft Computing, 2013,13 (2):1292-1302.

              (2):1292-1302.

    [10] [10] (2):674-683.

              RAJCHL M,LEE M,OKTAY O,et al. Deep cut: object segmentation from bounding box annotations using convolutional neural networks[J]. IEEE Transactions on Medical Imaging, 2017,36 (2):674-683.

              RAJCHL M,LEE M,OKTAY O,et al. Deep cut: object segmentation from bounding box annotations using convolutional neural networks[J]. IEEE Transactions on Medical Imaging, 2017,36

              RAJCHL M,LEE M,OKTAY O,et al. Deep cut: object segmentation from bounding box annotations using convolutional neural networks[J]. IEEE Transactions on Medical Imaging, 2017,36 (2):674-683.

    [11] [11] LIN Y,ZHANG H. Automatic image annotation via combining low-level colour feature with features learned from convolutional neural networks[J]. Neuro Quantology, 2018,16(6):679-685.

              LIN Y,ZHANG H. Automatic image annotation via combining low-level colour feature with features learned from convolutional neural networks[J]. Neuro Quantology, 2018,16(6):679-685.

              LIN Y,ZHANG H. Automatic image annotation via combining low-level colour feature with features learned from convolutional neural networks[J]. Neuro Quantology, 2018,16(6):679-685.

    [12] [12] LIU F,XIANG T,HOSPEDALES T M,et al. Semantic regularization for recurrent image annotation[C]// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

              LIU F,XIANG T,HOSPEDALES T M,et al. Semantic regularization for recurrent image annotation[C]// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Honolulu,HI,USA:IEEE, 2017:2872-2880.

              LIU F,XIANG T,HOSPEDALES T M,et al. Semantic regularization for recurrent image annotation[C]// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Honolulu,HI,USA:IEEE, 2017:2872-2880.

              Honolulu,HI,USA:IEEE, 2017:2872-2880.

    [13] [13] BREIMAN L. Bagging predictors[J]. Machine Learning, 1996,24(2):123-140.

              BREIMAN L. Bagging predictors[J]. Machine Learning, 1996,24(2):123-140.

              BREIMAN L. Bagging predictors[J]. Machine Learning, 1996,24(2):123-140.

    [14] [14] KRIZHEVSKY A,SUTSKEVER I,HINTON G E. ImageNet classification with deep convolutional neural networks[C]// Advances in Neural Information Processing Systems. Lake Tahoe,Nevada,USA:

              KRIZHEVSKY A,SUTSKEVER I,HINTON G E. ImageNet classification with deep convolutional neural networks[C]// Advances in Neural Information Processing Systems. Lake Tahoe,Nevada,USA: [s.n.], 2012:1097-1105.

              [s.n.], 2012:1097-1105.

              KRIZHEVSKY A,SUTSKEVER I,HINTON G E. ImageNet classification with deep convolutional neural networks[C]// Advances in Neural Information Processing Systems. Lake Tahoe,Nevada,USA: [s.n.], 2012:1097-1105.

    [15] [15] DENG J,DONG W,SOCHER R,et al. ImageNet: a large-scale hierarchical image database[C]//2009 IEEE Conference on Computer Vision and Pattern Recognition. Miami,FL,USA:IEEE, 2009:248- 255.

              DENG J,DONG W,SOCHER R,et al. ImageNet: a large-scale hierarchical image database[C]//2009 IEEE Conference on Computer Vision and Pattern Recognition. Miami,FL,USA:IEEE, 2009:248- 255.

              DENG J,DONG W,SOCHER R,et al. ImageNet: a large-scale hierarchical image database[C]//2009 IEEE Conference on Computer Vision and Pattern Recognition. Miami,FL,USA:IEEE, 2009:248- 255.

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    YAN Liang, ZHOU Xin, HE Xiaohai, XIONG Shuhua, QING Linbo. Violent image annotation using ensemble learning[J]. Journal of Terahertz Science and Electronic Information Technology , 2020, 18(2): 306

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    Paper Information

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    Received: Apr. 30, 2019

    Accepted: --

    Published Online: May. 28, 2020

    The Author Email: HE Xiaohai (hxh@scu.edu.cn)

    DOI:10.11805/tkyda2019157

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