电子科技大学计算机科学与工程学院导师介绍：陈娟

　　►个人简介
　　陈娟，副教授

　　►联系方式
　　邮箱：chenjuan@hotmail.co.uk

　　►教育背景
　　2006/10 - 2009/07，英国布拉德福德大学(University of Bradford)，电子计算学系(Department of Computing)，博士(Ph.D.)
　　2005/09 - 2006/09，西南师范大学，计算机与信息科学学院，硕士研究生
　　2001/09 - 2005/08，西南师范大学，计算机与信息科学学院，学士
　　2012/08 - 至今，电子科技大学，计算机科学与工程学院，副教授
　　2009/10 - 2012/07，电子科技大学，计算机科学与工程学院，讲师
　　2009/07 - 2009/09，英国布拉德福德大学(University of Bradford)，电子计算学系(Department of Computing)，研究助理(Research Assistant)

　　►主要论著
　　Journals
　　[1] J. Chen, J. Ren, and J. Jiang, “Modelling of Content-Aware Indicators for Effective Determination of Shot Boundaries in Compressed MPEG Videos,” Multimedia Tools and Applications, Springer, vol. 54, no. 2, pp.219-239, 2011.
　　[2] J. Ren, J. Jiang, J. Chen and S.S. Ipson “Extracting Objects and Events from MPEG Sequences for Video Highlights, Indexing and Retrieval,” Journal of Multimedia, Academic Publisher, vol. 5, no. 2, pp. 95-103, 2010.
　　[3] J. Ren, J. Jiang and J. Chen, “Shot Boundary Detection in MPEG Videos using Local and Global Indicators,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, no. 8, pp. 1234-1238, 2009.
　　[4] J. Jiang, Z. Li, G. Xiao and J. Chen, “Real-time shot-cut detection in a compressed domain,” Journal of Electronic Imaging, SPIE, vol. 16, no. 4, pp. (043011)1-6, 2007.
　　Conferences
　　[1] Q. Wen, J. Chen, and W. Liu, “Biologically Inspired Classification of Microvessel Histopathology via Sparse Coding,” IEEE International Conference on Advanced Computational Intelligence (ICACI), pp. 114-118, Hangzhou, China, Oct. 19-21, 2013.
　　[2] Q. Wen, J. Chen, and W. Liu, “A Predictive Coding Approach on Microvessel Identification via Single-Opponent Signals,” IEEE International Congress on Image and Signal Processing (CISP), pp. 1530-1534, Hangzhou, China, Dec. 16-18, 2013.
　　[3] Q. Wen, J. Chen, and W. Liu, “Quantitative Analysis on Mobility Behaviors of Fluorescent Marker Proteins Using the Graph Model,” IEEE International Congress on Image and Signal Processing (CISP), pp. 647-651, Hangzhou, China, Dec. 16-18, 2013.
　　[4] D. Ming, Q. Wen, J. Chen, and W. Liu, “A Generalized Fusion Approach for Segmenting Dermoscopy Images Using Markov Random Field,” IEEE International Congress on Image and Signal Processing (CISP), pp. 508-513, Hangzhou, China, Dec. 16-18, 2013.
　　[5] Q. Wen, D. Ming, and J. Chen, “A Novel Fusion Approach for Segmenting Dermoscopy Image Based on Region Consistency,” IEEE International Conference on Computational Problem-Solving (ICCP), JiuZhai Valley, China, Oct. 26-28, 2013.
　　[6] Q. Wen, D. Ming, J. Chen, and W. Liu, “A Superpixel Based Post-Processing Approach for Segmenting Dermoscopy Images,” IEEE International Conference on Advanced Computational Intelligence (ICACI), pp. 155-158, Hangzhou, China, Oct. 19-21, 2013.
　　[7] J. Chen, Q. Wen, C. Zhuo, and M. Mete, “Extraction of Color Entropy Sequence for Micro-vessel Detection in Virtual Slide,” IEEE International Congress on Image and Signal Processing (CISP), pp. 871-875, Chongqing, China, Oct. 16-18, 2012.
　　[8] J. Chen, Q. Wen, Z. Pang, and M. Mete, “An Effective Approach Towards Color Image Segmentation for Micro-Vessel Detection,” IEEE International Conference on Computational Problem-Solving (ICCP), pp. 59-63, Leshan, China, Oct. 19-21, 2012.
　　[9] M. Mete, J. Chen, Q. Wen, and X. Liu, “Color Region Annotation for Microvessel Density Estimation,” IEEE International Conference on Wavelet Active Media Technology and Information Processing (ICWAMTIP), pp. 145-148, Chengdu, China, Dec. 17-19, 2012.
　　[10] J. Chen, Q. Wen, C. Zhuo, and M. Mete, “Pose Recognition of Giant Pandas Based on Gradient Shapes”, IEEE International Conference on Computational Problem-Solving (ICCP), pp. 358-362, Leshan, China, Oct. 19-21, 2012.
　　[11] J. Chen, Q. Wen, W. Qu, and M. Mete, “Panda Facial Region Detection Based on Topology Modelling,” IEEE International Congress on Image and Signal Processing (CISP), pp. 911-915, Chongqing, China, Oct. 16-18, 2012.
　　[12] J. Chen, Q. Wen, C. Zhuo, and M. Mete, “A Novel Approach Towards Head Detection of Giant Pandas in the Free-Range Environment,” IEEE International Congress on Image and Signal Processing (CISP), pp. 814-818, Chongqing, China, Oct. 16-18, 2012.
　　[13] J. Chen, Q. Wen, C. Zhuo, and M. Mete, “Automatic Head Detection for Passenger Flow Analysis in Bus Surveillance Videos,” IEEE International Congress on Image and Signal Processing (CISP), pp. 143-147, Chongqing, China, Oct. 16-18, 2012.
　　[14] Q. Wen, W. Qu, J. Chen, and M. Mete, “A Novel Method for Counting Subcellular Structures Labeled by Green Fluorescent Protein,” IEEE International Conference on Computational Problem-Solving (ICCP), pp. 500-503, Leshan, China, Oct. 19-21, 2012.
　　[15] M.E. Celebi, Q. Wen, and J. Chen, “Color Quantization Using C-Means Clustering Algorithms,” IEEE International Conference on Image Processing (ICIP), pp. 1729-1732, Brussels, Belgium, Sept. 11-14, 2011.
　　[16] J. Chen, “Detection of Video Copies based on Robust Descriptors”, IEEE International Conference on Apperceiving Computing and Intelligence Analysis (ICACIA), pp.303-306, Sichuan, China, Dec. 17-19, 2010.
　　[17] J. Chen, “Annotation of Fighting Scenes with Moving and Changing Backgrounds”, IEEE International Conference on Apperceiving Computing and Intelligence Analysis (ICACIA), pp.271-274, Sichuan, China, Dec. 17-19, 2010.
　　[18] J. Chen, S.S. Ipson and J. Jiang, “A Fuzzy Logic Method of Feature Representation for Shot Boundary Detection,” IEEE International Conference on Image Processing (ICIP), pp. 4337-4340, Cairo, Egypt, Nov. 7-10, 2009.
　　[19] J. Ren, J. Chen, J. Jiang and S.S. Ipson, “Knowledge-Supported Segmentation and Semantic Contents Extraction from MPEG Videos for Highlight-Based Annotation, Indexing and Retrieval,” Lecture Notes in Computer Science. International Conference on Intelligent Computing (ICIC), pp. 258-265, Shanghai, China, Sept. 15-18, 2008.
　　[20] J. Chen and J. Jiang, “University of Bradford at TRECVID 2008: Content Based Copy Detection Task”, TREC Video Retrieval Evaluation On-line Proceedings, 2008.
　　[21] J. Chen, J. Ren and J. Jiang, “Compressed-Domain Shot Boundary Detection using Finite State Machine and Content-based Rules,” Asia-Pacific Workshop on Visual Information Processing (VIP), Taiwan, pp. 137-142, Dec. 15-17, 2007.
　　[22] J. Ren, J. Jiang and J. Chen, “Determination of Shot Boundary in MPEG Videos for TRECVID 2007,” TREC Video Retrieval Evaluation On-line Proceedings, 2007.