General

Weiqiang Wang  Ph.D  Professor,  School of Computer Science and Technology, University of Chinese Academy of Sciences, CAS
Email:wqwang@ucas.ac.cn
Telephone:86-10-69671830 


Research Areas

My research interests involve machine learning, computer vison, and multimedia technology.

Education

I received  the B.E. and M.E. degrees  in computer sciences  from Harbin Engineering University, in 1995 and 1998 respectively, and the Ph.D. degree in computer science from Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), in 2001.

Experience

   
Work Experience

I am currently a professor with the college of computer and control engineering, Graduate University of Chinese Academy of Sciences (GUCAS),  a guest researcher with the institute of computing technology (ICT), CAS, and adjunct professor with Harbin Engineering University,  the members of IEEE, ACM.  I begain my career in the institute of computing technology  in May, 2001, as an assistant researcher, and was promoted as an associate researcher in Oct, 2001.  I jointed the GUCAS in Aug. 2003 as an associate professor, and was promoted as a professor in Jun., 2009. Meanwhile, I worked in the institute of Human-computer Interaction, Carnigie Mellon University (CMU), as a visiting scientist. By now I have led  the research work of some national projects, and published more than 100 papers.

Teaching Experience

    1. Computer vison I
    2. Image analysis and machine vision
    3. Machine vision and pattern recognition
    4. digital image processing

Publications

  • Journal paper

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,” Detect Foreground Objects via Adaptive Fusing Model In a Hybrid Feature Space”,  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.12006pp. 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. 


  • International conference papers

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), HongkongChina, 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, USAJul. 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.    Shao Huang, Weiqiang Wang, Ke Lu,”Egocentric Hand Detection Via Region Growth”, 2016 IEEE International Conference on Pattern Recognition,  Dec.4-8, Cancun, Mexico, 2016.

13.    Xiwen Qu,  Weiqiang Wang, Ke Lu, ”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”,  IEEE International 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, 2013Manchester, 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, 2013Manchester, UK

36.    Xiaoqian LiuKe Lu, Weiqiang Wang: Effectively localize text in natural scene images. ICPR 2012: 1197-1200

37.    Hui Zhang, Weiqiang Wang, Guiping SuLijuan 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 LinYi 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,USA.

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,USA.

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,China, July 2-5, 2007.          

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, 2006LNCS, 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, 2006LNCS, Vol. 4261 pp.295-301

59.    QingFang ZhengWeiqiang-WangWen 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, 2006LNCS, 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,Korea, Nov.13-16, 2005    LNCS3767: pp.594-605

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,USA, Mar.19-23, 2005

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,Japan, pp127-134, Nov.30-Dec.3, 2004. LNCS Vol. 3331:pp.127-134,

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, 2004LNCS, 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,Japan, pp609-616, Nov.30-Dec.3, 2004 LNCS, Vol. 3331

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,China, pp150-153, Dec.18-20, 2004

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. JiangWen 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)