肖晶 (武汉大学计算机学院 计算机科学系 国家多媒体软件工程技术研究中心 )

 肖晶
  • 姓名:   肖晶
  • 主页:  
  • 性别:  
  • 职称:  副教授 (硕导)
  • 学历学位:  博士
  • 电话:  
  • 办公地点:  本科生院大楼南619
  • E-mail:  jing@whu.edu.cn
  • 领域:  多媒体技术与大数据分析,多媒体网络通信,多媒体信号处理,计算机视觉,模式识别
  • 招生信息:  2018年度招收硕士2名,招收方向:控制科学和工程(学硕)。 招收博士0名,招收方向:...请选择...。

主要研究方向包括视频编码与传输、计算机视觉、多媒体大数据处理与分析等

长期从事图像视频数据的处理与分析等领域的理论与应用研究


2008/12-2013/05,荷兰屯特大学,Computer Vision and Photogrammetry

2006/09-2008/06,武汉大学,地理信息系统,硕士

2002/09-2006/06,武汉大学,地理信息系统,学士

2017/01-至今,武汉大学计算机学院,副教授

2016/09-2016/12,武汉大学计算机学院,讲师

2013/08-2016/08,武汉大学计算机学院,博士后

并行计算,专业选修,研究生课程

计算机组成原理,专业必修,本科生课程

数字媒介传播,专业选修,本科生课程

共发表学术论文20篇,其中第一作者期刊论文5(ESI 二区期刊两篇,ESI 三区期刊一篇,CCF B类期刊两篇)、CCF B类会议一篇。协助指导研究生在CCF B/C类会议上发表论文12


期刊论文:

[1] J. Xiao R. Zhu R. Hu M. Wang Y. Zhu D. Chen* and D. Li, “Towards Real-Time Service from Remote Sensing: Compression of Earth Observatory Video Data via Long-Term Background Referencing.”, Remote Sensing, vol. 10, no. 6, pp. 876, 2018. 

[2] J. Xiao*, R. Hu, L. Liao, Y. Chen, Z. Wang and Z. Xiong, " Knowledge-based Coding of Objects for Multi-source Surveillance Video Data." in IEEE Transactions on Multimedia, vol. 18, no. 9, pp. 1691-1706, Sept. 2016.

[3] J. Xiao, Z. Wang*, Y. Chen, Y. Chen, L. Liao, J. Xiao, G. Zhan and R. Hu, " A Sensitive Object-Oriented Approach to Big Surveillance Data Compression for Social Security Applications in Smart City." Software: Practice and Experience, 2016.

[4] J. Xiao*, L. Liao, J. Hu, Y. Chen, and R. Hu, “Exploiting global redundancy in big surveillance video data for efficient coding,” Cluster Computing, vol. 18, no. 2, pp. 531-540, Feb. 2015.

[5] J. Xiao*, M. Gerke, "Building footprint extraction based on radiometric and geometric constraints in airborne oblique images." in International Journal of Image and Data Fusion, vol. 6, no. 3, pp. 270-287, Jul. 2015.

[6] M. Gerke, J. Xiao, " Fusion of airborne laserscanning point clouds and images for supervised and unsupervised scene classification." in ISPRS Journal of Photogrammetry and Remote Sensing, vol. 87, no. 1, pp. 78-92, 2014.

[7] Z. Wang, X. Song, S.Wang, J. Xiao, R. Zhong and R. Hu, "Filling Kinect depth holes via position-guided matrix completion." in Neurocomputing, vol. 215, pp. 48-52, Nov. 2016.


会议论文:

[1] J. Xiao*, Y. Chen, L. Liao, J. Hu, and R. Hu, "Global Coding of Multi-Source Surveillance Video Data." in Proc. Data Compression Conf., Snowbird, Apr 7-9, 2015, pp. 33-42.

[2] Y. Chen, J. Xiao*, L. Liao, and R. Hu, “Non-overlapped Multi-source Surveillance Video Coding Using Two-layer Knowledge Dictionary.” in Pacific Rim Conference on Multimedia, Gwangju, Sep 16-18, 2015, pp. 711-720.

[3] C. Liang, B. Huang, R. Hu, C. Zhang, X. Jing and J. Xiao, “A Unsupervised Person Re-identification Method Using Model Based Representation and Ranking.” in ACM Multimedia, Australia, Oct 26-30, 2015, pp. 771-774.

[4] X. Wang, R. Hu, J. Xiao, Z. Wang, "Cruise UAV Video Compression Based on Long-Term Wide-Range Background." in Proc. Data Compression Conf., 2017.

[5] L. Yin, R. Hu, S. Chen, J. Xiao, and J. Hu, "A Block-Based Background Model for Surveillance Video Coding." in Proc. Data Compression Conf., Snowbird, Apr 7-9, 2015, pp. 476 - 476.

[6] J. Hu, R. Hu, Y. Chen, L. Liao, J. Xiao, and R. Ruan, " Joint Weighted Sparse Representation Based Median Filter for Depth Video Coding." in Proc. Data Compression Conf., Snowbird, Apr 7-9, 2015, pp. 450-450.

[7] L. Liao, R. Hu, J. Xiao, Q. Wang, J. Xiao, and J. Chen, “Exploiting Effects of Parts in Fine-grained Categorization of Vehicles,” in IEEE Int. Conf. Image Process., Quebec, Sep 27-30, 2015, pp.745-749.

[8] L. Yin, R. Hu, S. Chen, J. Xiao, and M. Ma, “Block-based Global and Multiple-Reference Scheme for Surveillance Video Coding.” in Pacific Rim Conference on Multimedia, Gwangju, Sep 16-18, 2015, pp. 212-222.

[9] M. Ma, R. Hu, S. Chen, J. Xiao, Z. Wang and S. Qu, “Global Object Representation of Scene Surveillance Video Based on Model and Feature Parameters.” in Pacific Rim Conference on Multimedia, Gwangju, Sep 16-18, 2015, pp. 223-232.

[10] Z. Wang, J. Xiao, T. Lu, Z. Shao and R. Hu, “Tuning Sparsity for Face Hallucination Representation.” in Pacific Rim Conference on Multimedia, Gwangju, Sep 16-18, 2015, pp. 299 -309.

[11] L. Hu, Z. Wang, M. Ye, J. Xiao, and R. Hu, “Spatiotemporal Saliency based on Location Prior Model.” in International Joint Conference on Neural Networks, Vancouver, Jul 24-29, 2016, pp. 2526-2533.

[12] M. Shao, R. Hu, X. Wang, Z. Wang, J. Xiao and G. Gao, “Salient Object Detection in Video Based on Dynamic Attention Center.” in Pacific Rim Conference on Multimedia, Xi'an, Sep 15-16, 2016, pp. 458-468.

[13] Q. Wang, Z. Wang, J. Xiao, J. Xiao and W. Li, “Fine-grained Vehicle Recognition in Traffic Surveillance.” in Pacific Rim Conference on Multimedia, Xi'an, Sep 15-16, 2016, pp. 285-295.

[14] Y. Chen, R. Hu, J. Xiao, L. Liang, J. Xiao and G. Zhan, “Criminal Investigation Oriented Saliency Detection for Surveillance Videos.” in Pacific Rim Conference on Multimedia, Xi'an, Sep 15-16, 2016, pp. 487-496.

[15] L. Liao, R. Hu, J. Xiao, G. Zhan, Y. Chen and J. Xiao, “An Analysis-oriented ROI Based Coding Approach on Surveillance Video data.” in Pacific Rim Conference on Multimedia, Xi'an, Sep 15-16, 2016, pp. 428-438.






先后主持研究了1项视频编解码方面的国家自然科学基金,3项车辆检测识别方面的省部级项目,参与5项视频处理方面的国家及省部级项目,其中多个课题围绕卫星在轨处理、视频压缩、视频信息处理技术及其应用的主题

主要项目如下:

[1] 国家自然科学基金青年项目“欠覆盖环境下城市多源监控视频大数据高效编码方法研究”,61502348,主持

[2] 中国博士后科学基金“基于三维可变部件模型的车辆品牌与型号识别”, 2014M562058, 主持

[3] 留学回国人员科研启动基金“互遮挡情况下监控视频车辆跟踪技术研究”,[2014]1685,主持

[4] 中央高校自主科研青年教师资助项目“基于CAD模型的车辆跟踪和车型识别技术研究”,2042014kf0025,主持

[5] 国家自然科学基金项目,“大尺度时空视频数据表达及巡航无人机视频高效编码技术”,61671336,参与

[6] 欧盟第七框架项目,“Quality-of-Experience Improvement for Mobile Multimedia across Heterogeneous Wireless Networks”,PIRSES-GA-2013-612652,参与

[7] 湖北省技术创新专项重大项目 “智能可信辨识技术及在城市安全领域的应用”,2018AAA062,参与

[8湖北省自然科学基金面上项目“面向大范围动态场景的嫌疑目标轨迹排查关键技术研究”,2014CFB712,参与

[9] 公安部技术研究计划 “嫌疑目标自动排查关键技术研究”,2014JSYJA016,参与



研究团队包含博士4人,硕士10人,在多媒体视频监控领域做了大量相关研究工作,包括监控视频背景建模,前景对象编码,多视点安防监控视频编码,无人机视频编码,卫星视频编码等方面的研究,并已取得了大量研究成果,在视频编解码技术领域打下了扎实的理论基础和研究基础,同时本团队在目标跟踪,图像修复,深度学习等领域也有一定研究基础


ICME Grant Challenge 2017 the third place winner

担任IEEE Transaction on Multimedia (TMM)、Cluster Computing、Pacific-Rim Conference on Multimedia等国际知名期刊/会议的审稿人

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