王伟强男博导计算机科学与技术学院
电子邮件： wqwang@ucas.ac.cn
通信地址： 北京市怀柔区怀北镇怀北庄中国科学院大学雁栖湖校区学园#2计算机科学与技术学院
邮政编码： 101408
部门/实验室：计算机与控制学院
研究领域多媒体内容分析与检索，计算机视觉, 模式识别
招生信息招收硕博连读研究生与博士研究生，另外欢迎有对模式识别、图像分析感兴趣的博士来做师资博士后合作研究。
招生专业081203-计算机应用技术
招生方向机器学习计算机视觉多媒体技术
教育背景1998-03--2001-04中国科学院计算技术研究所博士生/工学博士学位1995-09--1998-02哈尔滨工程大学硕士生/工学硕士1991-09--1995-07哈尔滨工程大学本科生/工学学士
学历分别于1995，1998年在哈尔滨工程大学获得计算机工学学士与硕士学位，2001年在中国科学院计算技术研究所获得计算机工学博士学位
工作经历
现为中国科学院大学计算机科学与技术学院教授，IEEE会员，ACM会员，主要研究兴趣为计算机视觉，多媒体技术，机器学习等。2001年5月留中科院计算所工作，为助理研究员，2001年10月晋升为副研究员，作为课题组长与科研骨干先后参与了多个项目的研发，其中博士论文中部分成果作为核心已被商业软件Smartlog采用。2003年8月到中科院研究生院信息学院任教，聘为副教授。2004年10月至2005年9月在美国卡内基梅隆大学作访问,2009年6月聘为教授、博导。迄今曾承担过863重点项目，国家科技支撑计划子课题, 自然科学基金面上项目等项目的研发工作，在国内外重要期刊与会议上发表科研论文100余篇，获得发明专利3项。
教授课程图像分析应用图像处理与分析机器学习与图像/视频分析图像处理数字图像处理数字图像处理与分析机器视觉与模式识别计算机视觉 I图像分析与计算机视觉文献阅读课机器学习与模式识别现代计算机视觉计算机视觉与图像理解计算机视觉与图像理解 I计算机视觉I多媒体内容分析与检索多媒体计算机技术及应用
出版信息
期刊英文论文
1. Ji Gan, weiqiang wang, Ke lu, “A New Perspective: Recognizing Online Handwritten Chinese Characters via 1-Dimensional CNN”, Information Sciences, Nov, 2018 (on-line)
2. Xiwen Qu, Weiqiang Wang, Ke Lu, et al. Data augmentation and directional feature maps extraction for in-air handwritten Chinese character recognition based on convolutional neural network. Pattern Recognition Letters, 2018, 111: 9-15.
3. Xiwen Qu, Weiqiang Wang, Ke Lu, Jianshe Zhou, “In-air handwritten Chinese character recognition with locality-sensitive sparse representation toward optimized prototype classifier“, Pattern Recognition, Jan, 2018.
4. Shao Huang, Weiqiang Wang, Shengfeng He, Rynson W.H. Lau，“Egocentric Temporal Action Proposals”，IEEE Transactions on Image Processing, 27(2), pp. 764-777, 2018
5. Shao Huang, Weiqiang Wang, Shengfeng He, Rynson W.H. Lau，“ Egocentric Hand Detection via Dynamic Region Growing”，ACM Transactions on Multimedia Computing, Communications and Applications, 2017 .
6. Shao Huang, Weiqiang Wang，“Saliency-guided Pairwise Matching”，Pattern Recognition Letters, pp. 37-43, 2017.
7. Shao Huang, Weiqiang Wang, Shengfeng He, Rynson W.H. Lau, “Stereo Object Proposals”, IEEE Transactions on Image Processing, Vol.26, No.2, Feb. 2017.
8. Bai Chaochao, Wang Weiqiang, Zhao Tong, Wang Ruxin, Li Mingqiang. “Deep learning compact binary codes for fingerprint indexing[J]”, Frontiers of Information Technology and Electronic Engineering, 2017.
9. Bai Chaochao, Wang Weiqiang, Zhao Tong, Li Mingqiang. “Fast exact fingerprint indexing based on compact binary minutia codes[J]. Neurocomputing, 2017.
10. Bai Chaochao, Li Mingqiang, Zhao Tong, Wang Weiqiang. “Learning binary descriptors for fingerprint indexing[J].” IEEE Access, 2017.
11. Ji Gan and Weiqiang Wang, “In-air handwritten English word recognition using attention recurrent translator”, Neural Computing and Applications, 2017 on-line.
12. Ping Hu, Weiqiang Wang, Chi Zhang, Ke Lu, “Detecting Salient Objects via Color and Texture Compactness Hypotheses”, IEEE Transactions on Image Processing, Volume: 25,Issue: 10, Oct. 2016
13. Zhangjian Ji, Weiqiang Wang, "Object Tracking Based on Local Dynamic Sparse Model”, Journal of Visual Communication and Image Representation， Vol.28, April, 2015. pp.44-52.
14. Zhangjian Ji, Weiqiang Wang,” DetectForegroundObjectsviaAdaptive FusingModel InaHybridFeatureSpace”, Pattern Recognition, Vol. 47, No. 9， pp. 2952—2961， 2014.
15. Xiaoqian Liu,Weiqiang Wang, "An effective graph-cut scene text localization with embedded text segmentation " Multimedia Tools and Applications, Jan, 2014
16. Zhong Li, Weiqiang Wang, Xiaoqian Liu, Ke Lu, "An Efficient Multi-threshold AdaBoost Approach to Detecting Faces in Images",Multimedia Tools and Applications, Sept. 2013.
17. Xiaoqian Liu,Weiqiang Wang:Robustly Extracting Captions in Videos Based on Stroke-Like Edges and Spatio-Temporal Analysis.IEEE Transactions on Multimedia 14(2): 482-489 (2012)
18. Shu-Gao Ma and Wei-Qiang Wang, “Effectively Discriminating Fighting Shots in Action Movies”, Journal of Computer Science and Technology, 2011, 26(1): 187-194 SCI
19. Weiqiang Wang, Jie Yang, Wen Gao, “Modeling Background and Segmenting Moving Objects from Compressed Video”, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 18, No. 5, May 2008, pp670-680.
20. W.Q. Wang, W. Gao, "Automatic Segmentation of News Items Based on Video and Audio Features", Journal of Computer Science & Technology, Vol.17, No.2, Feb., 2002. pp.189-195
21. Qing-Fang Zheng,Wei Zeng,Weiqiang Wang, Wen Gao, “Shape-based Adult Web Images Detection,” International Journal of Image and Graphics, Vol.6, No.1，2006，pp. 115-124.
22. W.Q, Wang, W. Gao, "Automatic Parsing of News Video Using Multimodal Analysis", Journal of Software, Vol.12, No.9, Sept., 2001.
期刊中文论文
[1] 王伟强, 高文, “一种MPEG-2流的索引模型及其应用,”软件学报, 第12卷，第8期，2001.8.
[2] 王伟强, 高文, “一种压缩域上的快速标题文字探测算法及其应用”, 计算机学报，第24卷，第6期, 2001.6
[3] 张明吉，王伟强，郑清芳，高文, “静态图像中的自适应阈值肤色检测算法”, 计算机研究与发展，第43卷，第9期，2006。
[4] 付岩，王耀威，王伟强，高文，“SVM用于基于内容的自然图像分类与检索“，计算机学报, 第26卷，第10期，2003.10。
[5]叶齐祥，高文，王伟强，黄铁军， “一种融合颜色和空间信息的彩色图像分割算法”，软件学报，第15卷，第4期，2004.4
[6] 王伟强, 付立波，高文，黄庆明, 蒋树强，“基于笔画特征的叠加文字检测方法”，通信学报，第28卷12期，2007
国际会议论文
1. Ji Gan, Weiqiang Wang, and Ke Lu, “A unified CNN-RNN approach for in-air handwritten English word recognition,”in ICME, 2018
2. Peirui Cheng, Weiqiang Wang. A Multi-Oriented Scene Text Detector with Position-Sensitive Segmentation[C] // ACM International Conference on Multimedia Retrieval, 2018.
3. Shi Kang, Weiqiang Wang, and Changsheng Xu. "Entity Competition Network for Video Classification."2018 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2018.
4. Usman Muhammad, Weiqiang wang, Shahbaz Pervaiz Chattha,Sajid Ali, “Pre-trained VGGNet Architecture for Remote-sensing Image Scene Classification”,24th international conference on Pattern Recognition, 2018, Aug.20-24, Beijing, China
5. Kang shi, Weiqiang Wang. “Sweeper: Design of the augmented Path in Residual Networks”, Pacific-Rim Conference on Multimedia , springer, 2017.
6. Hongzhu Li, Weiqiang Wang,”Overlaid Chinese Character Recognition via a Compact CNN”,Pacific-Rim Conference on Multimedia , springer, 2017.
7. Haiqing Ren ,Weiqiang Wang, Ke Lu, Jianshe Zhou, Qiuchen Yuan ,”An End-to-end Recognizer for In-air Handwrittent Chinese Characters based on a New Recurrent Neural Networks”, IEEE International Conference on Multimedia and Expo (ICME) (2017), Hongkong, China, Jul. 10-14, 2017.
8. Jin Ma, Weiqiang Wang, Ke Lu, Jianshe Zhou, ”Scene Text Detection Based on Pruning Strategy of MSER-Trees and Linkage-trees”, IEEE International Conference on Multimedia and Expo (ICME) (2017), Hongkong, China, Jul. 10-14, 2017.
9. Xiwen Qu, Weiqiang Wang, Ke Lu, Zhangjian Ji, “High-order directional features and sparse representation based classification for in-air handwritten Chinese character recognition”,
10. Xiwen Qu, Weiqiang Wang, Ke Lu, Zhangjian Ji, “High-order directional features and sparse representation based classification for in-air handwritten Chinese character recognition”,
IEEE International Conference on Multimedia and Expo (ICME) (2016), Seattle, USA, Jul. 11-15, 2016. 11. Zhaochun Xu, Weiqiang Wang, Ke Lu, “MQDF with a novel covariance matrix estimation and discriminant LSRC, which is better for in-air handwritten Chinese character recognition”, 2016 IEEE International Conference on Image Processing (ICIP), sept. 25-28, 2016
12. ShaoHuang,WeiqiangWang,KeLu,”EgocentricHandDetectionViaRegionGrowth”, 2016 IEEE International Conference on Pattern Recognition, Dec.4-8, Cancun, Mexico, 2016.
13. Xiwen Qu,WeiqiangWang,KeLu, ”In-Air Handwritten Chinese Character Recognition Using Discriminative Projection Based on Locality-Sensitive Sparse Representation”, 2016 IEEE International Conference on Pattern Recognition Dec.4-8, Cancun, Mexico, 2016.
14. Ping Hu, Weiqiang Wang and Ke Lv. Detecting Salient Objects via Spatial and Appearance Compactness Hypotheses. 23rd ACM international conference on Multimedia (ACMMM), 2015: 1087-1090
15. Ping Hu, Weiqiang Wang, Ke Lu, ”A Novel Binarization Approach for Text in Images”, IEEE International Conference on Image Processing(ICIP), Sept.27-30, Quebec city, Canada, 2015,
16. Ping Hu, Weiqiang Wang, Ke Lu,”Video Text Detection with Text Edges and Convolutional Neural Network”, Asian Conference on Pattern Recognition (ACPR), Nov. 3-6,Kuala Lumpur, Malaysia 2015.
17. Ning Xu, Weiqiang Wang, Xiwen Qu, “Recognition of in-air handwritten Chinese character based on Leap Motion Controller,” The 8th International Conference on Image and Graphics, Aug. 13-16, Tianjin, China, 2015.
18. Ning Xu, Weiqiang Wang, Xiwen Qu, “On-line sample generation for in-air written Chinese character recognition based on Leap Motion Controller,” The 16th Pacific-Rim Conference on Multimedia, Sept.16-18, Gwangju, Korea, 2015.
19. Ning Xu, Weiqiang Wang, Xiwen Qu, “A Discriminative Classifier for in-air handwritten Chinese characters recognition,” The 7th International Conference on Internet Multimedia Computing and Service, Aug. 19-21, Zhangjiajie, China, 2015.
20. Xiwen Qu, Ning Xu, Weiqiang Wang, “Similar Handwritten Chinese Character Recognition based on Adaptive Discriminative Locality Alignment,” The 14th IAPR International Conference on Machine Vision Applications, May 18-22, Tokyo, Japan, 2015.
21. Xiwen Qu, Weiqiang Wang, Ke Lu, Ning Xu, “In-air handwritten Chinese Character recognition using multi-stage classifier based on adaptive discriminative locality alignment,” The 22nd IEEE International Conference on Image Processing, Sept.27-30, Quebec city, Canada, 2015.
22. Zhangjian Ji, Weiqiang Wang, Ke Lu, “Robustly tracking objects via multi-task kernel dynamic sparse model”, The 22nd IEEE International Conference on Image Processing, Sept.27-30, Quebec city, Canada, 2015.
23. Shao Huang, Weiqiang Wang, “Retrieving Images Combining Saliency Detection With IRM”, The 22nd IEEE International Conference on Image Processing, Sept.27-30, Quebec city, Canada, 2015.
24. Zhangjian Ji, Weiqiang Wang, Ning Xu,” Robust Object Tracking via Incremental Subspace Dynamic Sparse Model”, ICME 2014, July 14-18, Chengdu, China, pp.1-6.
25. Zhangjian Ji, Weiqiang Wang, Ning Xu,” Robust Object Tracking via Multi-task Dynamic Sparse Model”, ICIP2014, Oct. 27-30, Paris, France.
26. Zhike Zhang, Weiqiang Wang, Ke Lu, “Video Text Extraction Using the Fusion of Color Gradient and Log-Gabor Filter”, ICPR2014, Aug.24-28, Stockholm, Sweden.
27. Shao Huang, Weiqiang Wang, “A Filtration Strategy Based on FD-CDF for Image Matching ”, ICPR2014, Aug.24-28, Stockholm, Sweden.
28. Shao Huang, Weiqiang Wang, Hui Zhang, ”Retrieving images using Saliency Detection and Graph Matching ”, ICIP2014, Oct. 27-30, Paris, France.
29. Chi Zhang and Weiqiang Wang, “Object-level saliency detection based on spatial compactness Assumption”,IEEEInternational conference on Image Processing, Sept. 15-18, 2013, Melbourne,Australia.
30. Chi Zhang and Weiqiang Wang, Xiaoqian Liu, “Object-Level saliency detection combining the contrast and spatial compactness hypothesis”,International Conference on Image Processing, Computer Vision, and Pattern Recognition, Las Vegas, Nevada, July22-25, 2013,USA.
31. Chi Zhang, Weiqiang Wang, “A Unified Approach of Object-Level Saliency Detection in Images and Videos”, Advanced Materials Research, Vols.765-767, Sept, 2013, pp. 1401-1405.
32. Zhangjian Ji, Weiqiang Wang, Ke Lu，“Extract foreground objects based on sparse model of spatiotemporal spectrum”, IEEE International Conference on Image Processing, Sept.15- Sept.18, Melbourne, Australia.
33. Zhangjian Ji, Weiqiang Wang , Ke Lu, “Foreground Detection Utilizing Structured Sparse Model via L1,2 Mixed Norms”, IEEE International Conference on System, Man, Cybernetics, Oct.13-16, 2013，Manchester, UK.
34. Xiaoqian Liu, Weiqiang Wang, “Localize and Segment Scene Text”, IEEE Pacific-Rim Conference on Multimedia, Nanjing, China, Dec. 12-16, 2013.
35. Zhike Zhang, Weiqiang Wang, "A Novel Approach for Binarization of Overlay Text," IEEE International Conference on System, Man, Cybernetics, Oct.13-16, 2013，Manchester, UK
36. Xiaoqian Liu,Ke Lu,Weiqiang Wang:Effectively localize text in natural scene images.ICPR 2012: 1197-1200
37. Hui Zhang,Weiqiang Wang,Guiping Su,Lijuan Duan:A simple and effective saliency detection approach.ICPR 2012: 186-189
38. Chi Zhang,Weiqiang Wang:A robust and efficient shot boundary detection approach based on fisher criterion.ACM Multimedia 2012: 701-704
39. Yanjun Fu,Weiqiang Wang:Fast and Effectively Identify Pornographic Images.CIS 2011: 1122-1126
40. Jian Lin,Yi Sun,Weiqiang Wang:Violence Detection in Movies with Auditory and Visual Cues.CIS 2010: 561-565
41. Shugao Ma,Weiqiang Wang:Effective camera motion analysis approach.ICNSC 2010: 111-116
42. Xiaoqian Liu,Weiqiang Wang,Tingshao Zhu:Extracting Captions in Complex Background from Videos.ICPR 2010: 3232-3235
43. Xiaoqian Liu,Weiqiang Wang:Extracting captions from videos using temporal feature.ACM Multimedia 2010: 843-846
44. Jian Lin,Weiqiang Wang,“Weakly-Supervised Violence Detection in Movies with Audio and Video Based Co-training” In Pacific-Rim Conference on Multimedia, pp. 930-935, Thailand, 2009.
45. Xiaojun Li, Weiqiang Wang, Qingming Huang, and Wen Gao. “A Hybrid Text Segmentation Approach.” in Proceedings of IEEE International Conference on Multimedia and Expo. Jun.28,2009
46. Yu Gong, Weiqiang Wang, Shuqiang Jiang, Qingming Huang, Wen Gao, "Detecting Violent Scenes in Movies by Auditory and Visual Cues", In Pacific-Rim Conference on Multimedia, Tai Wan, China, Dec. 9-13, 2008.
47. Xiaojun Li, Weiqiang Wang, Shuqiang Jiang, Qingming Huang, Wen Gao, "Fast and Effective Text Detection”, IEEE International Conference on Image Processing, Oct.12–15, San Diego, California, U.S.2008,
48. Dong Zhang, Weiqiang Wang, Shuqiang Jiang, Qingming Huang，“Matching Images More Efficiently with Local Descriptors”, The 19th International Conference of Pattern Recognition, Dec. 8-11, 2008, Tampa, Florida,
49. Shugao Ma, Weiqiang Wang, Qingming Huang, Shuqiang Jiang, “Effective Scene Matching with Local Feature Representatives,” The 19th International Conference of Pattern Recognition, Dec. 8-11, 2008, Tampa, Florida,
50. Ting Liu, Weiqiang Wang, Tiejun Huang, Yonghong Tian, “Exploring the relationships of regions for visual content understanding”, the conference on Visual Communications and Image Processing （VCIP） 2008, Sun Jose, California,
51. Dong Zhang, Weiqiang Wang, Shuqiang Jiang, "An Effective Local Invariant Descriptor Combining Luminance And Color Information", IEEE International Conference on Multimedia and Expo, Beijing,
52. Qianhui Ning, Weiqiang Wang, Caifeng Zhu, Laiyun Qing and Qingming Huang, A fast approach for natural image matting using structure information, 2007 IEEE International Conference on Multimedia and Expo, Beijing, China, Jul.2-5, 2007.
53. Yuanning Li, Weiqiang Wang, Wen Gao, “Object Recognition Based on Dependent Pachinko Allocation Model”, IEEE International Conference on Image Processing, San Antonio, Texas, Sept. 16-19, 2007.
54. Weiqiang Wang, Libo Fu, Wen Gao, “Text Segmentation in Complex Background Based on Color and Scale Information of Character Strokes,” The 7th IEEE Pacific-Rim Conference on Multimedia 2007, Hongkong, China, Dec. 11-14, 2007
55. Yaowen Zhan, Weiqiang Wang, Wen Gao, “A Robust Split-and-Merge Text Segmentation Approach for Images”, The 18th International Conference of Pattern Recognition, Aug. 24-26, 2006. pp.1002-1005
56. Lei Qin, Weiqiang Wang, Qingming Huang, Wen Gao “Unsupervised Texture Classification: Automatically Discover and Classify Texture Patterns”, The 18th International Conference of Pattern Recognition, Aug. 24-26, 2006. pp.433-436
57. Yuanning Li, Weiqiang Wang, Wen Gao，“A Robust Approach for Object Recognition”, The 6th IEEE Pacific-Rim Conference on Multimedia 2006, HangZhou, China, Nov.2- Nov.4, 2006，LNCS, Vol.4261,pp.262-269
58. Caifeng Zhu, Weiqiang Wang, Qianhui Ning，“Text Detection in Images using Texture Feature from Strokes”, The 6th IEEE Pacific-Rim Conference on Multimedia 2006, HangZhou, China, Nov.2- Nov.4, 2006，LNCS, Vol.4261 pp.295-301
59. QingFang Zheng，Weiqiang-Wang，Wen Gao, “Effective and Efficient Object-based Image Retrieval Using Visual Phrases”, ACM Multimedia 2006, October 23-27, 2006,Santa Barbara, CA., pp 77-80
60. Jia Li, Ting Liu, Weiqiang Wang, Wen Gao，“A Broadcast Model for Web Image Annotation”, The 6th IEEE Pacific-Rim Conference on Multimedia 2006, HangZhou, China, Nov.2- Nov.4, 2006，LNCS, Vol.4261, pp.245-251
61. Weiqiang Wang, Datong Chen, Wen Gao, Jie Yang, “Modeling Background from Compressed Video”, The Second Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, in conjunction with the Tenth IEEE International Conference on Computer Vision, Oct. Beijing, 2005.
62. YuShi Wang, Weiqiang Wang, Wen Gao, “Research on the Discrimination of Pornographic and Bikini Images,” The First IEEE International Workshop on Multimedia Information Processing and Retrieval, Irvine,California, USA ，December 12-14, 2005
63. Libo Fu, Weiqiang Wang, Yaowen Zhan. A Robust Text segmentation Approach in Complex Background Based on Multiple Constraints. IEEE Pacific-Rim Conference on Multimedia, Jeju Island,
64. Yaowen Zhan, Weiqiang Wang, Libo Fu. “A Robust Text Segmentation Algorithm in Images and Video Frames”, 1st International Conference on Universal Digital Library, 2005
65. Lei Qin, Wei Zeng, Wen Gao, Weiqiang Wang. “Local Invariant Descriptor for Image Matching”, ICASSP2005, Philadelphia, PA,
66. Lei Qin, Wei Zeng, Weiqiang Wang. “Image Matching Based on Scale invariant regions”. Advances in Multimedia Information Processing - PCM 2004: 5th Pacific Rim Conference on Multimedia, Tokyo,
67. Yaowei Wang, Weiqiang Wang, Yanfei Wang. “A Region Based Image Matching Method With Regularized SAR Model”. The 5th IEEE Pacific-Rim Conference on Multimedia 2004, Tokyo Waterfront City, Japan, pp263-270, Nov.30-Dec.3, 2004，LNCS, Vol.3331:pp. 263-270
68. Qing-Fang Zheng, Ming-Ji Zhang, WeiQiang Wang. “A Hybrid Approach to Detect Adult Web Images”, Advances in Multimedia Information Processing - PCM 2004: 5th Pacific Rim Conference on Multimedia, Tokyo,
69. Ming-Ji Zhang, Wei-Qiang Wang, Qing-Fang Zheng, Wen Gao, “Skin-Color Detection Based on Adaptive Thresholds“, Third International Conference on Image and Graphics, Hong Kong, pp250-253, Dec.2004
70. Qing-Fang Zheng, Wei Zeng, Wen Gao, Wei-Qiang Wang. “Shape-based Adult Images Detection”, Third International Conference on Image and Graphics, Hong Kong,
71. Yang Liu, Weiqiang Wang, Wen Gao, Wei Zeng, “A Novel Compressed domain Shot Segmentation Algorithm on H.264/AVC Video ”, ICIP2004, October 24-27, Singapore
72. W.Q. Wang, W.Gao, D.W. Ying, “A Fast and Robust Speech/Music Discrimination Approach”, IEEE PCM 2003, Sigpore, Dec., 2003.
73. Qixiang Ye, Wen Gao, Weiqiang Wang, Wei Zeng, “A Robust Text Detection Algorithm in Images and Video Frames”, IEEE PCM2003, Dec,2003
74. S.Q. Jiang，Wen Gao, W.Q. Wang, “Classifying Traditional Chinese Painting Images”, IEEE PCM 2003, Sigpore, Dec., 2003.
75. Qixiang Ye, Wen Gao, Weiqiang Wang, “A New Texture-insensitive Edge Detection Method”, IEEE PCM 2003, Sigpore, Dec., 2003.
76. Qixiang Ye, Wen Gao, Wei Zeng, Tao Zhang, WeiqiangWang, Yang Liu, ”Objectionable Image Recognition System in Compression Domain ”, IDEAL2003, March 21-23, 2003, Hong Kong. LNCS2690 pp.1097-1101 LNCS2690 pp.1131-1135
77. L.Y. Qing, W.Q. Wang, W. Gao, “Illumination Invariant Shot Boundary Detection”, IDEAL2003, March 21-23, 2003, Hong Kong LNCS2690 pp.1097-1101
78. W.Q. Wang, W. Gao, “An Index Model for MPEG-2 Streams”, The Third IEEE Pacific-Rim Conference on Multimedia 2002, Dec,16-18, 2002, Hsinchu, Taiwan. LNCS 2532:pp.271-278
79. L.Y. Qing, W.Q. Wang, T.J. Huang and W. Gao, “A Framework for Background Detection in Video”, The Third IEEE Pacific-Rim Conference on Multimedia 2002, Dec, 16-18, 2002, Hsinchu, Taiwan. LNCS 2532: pp.799-805
80. W. Q. Wang, L.Y. Qing, Y. Fu, W. Gao, "Locating Anchor Shots in Compression Domain Based on Neural Networks" the Fifth Asian Conference on Computer Vision 2002, Jan 23-25, 2002, Melbourne, Australia.
81. W.Q. Wang, W. Gao, "A Fast Anchor Shot Detection Algorithm on Compressed Video", The Second IEEE Pacific-Rim Conference on Multimedia 2001,Oct, 24-26,2001, Beijing, China. LNCS 2195: pp.873-878
82. W.Q. Wang, W. Gao, "Automatic Segmentation of News Items Based on Video and Audio Features", The Second IEEE Pacific-Rim Conference on Multimedia 2001,Oct,24-26,2001, Beijing, China. LNCS 2195: pp. 498-505
83. W. Gao, T.J Huang, L.J. Duan, W.Q. Wang, "Framework of Content-Based Multimedia Retrieval for Digital Library", the 12th international Conference on New Information Technology, 2001.5, Beijing, China.
84. W. Q. Wang, W. Gao, J. T. Li, and S. X. Lin, "News Content Highlight via Fast Caption Text Detection on Compressed Video", International Conference on Intelligent Data Engineering and Automated Learning, Hong Kong, Dec. 2000. (LNCS 1983)
