Publication List of Prof. King N. NganA.

Authored Books

1.

K.N. Ngan, T. Meier and D. Chai, Advanced Video Coding: Principles andTechniques, Elsevier Science Publishers B.V., ISBN 0-444-82667-X, August 1999,
430 pages.
K.N. Ngan, C.W. Yap and K.T. Tan, Video Coding for Future Generation Mobile
Communication Systems, Marcel Dekker Inc., ISBN 0-8247-0489-4, January 2001,
560 pages.
W.J. Heng and K.N. Ngan, Digital Video Transition Analysis and Detection, World
Scientific Publishing Co. Pte. Ltd., ISBN 981-238-185-6, November 2002, 200
pages.

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Edited Books

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K.N. Ngan and I. Shirakawa, Proceedings of IEEE International Symposium on
Circuits and Systems, Singapore, ISBN 0-7803-0050-5, June 1991, 3177 pages.
K.N. Ngan, Proceedings of IEEE Workshop on Visual Signal Processing andCommunications, Melbourne, Australia, ISBN 0-7326-0512-1, September 1993, 347
pages.
K.N. Ngan, Proceedings of IEEE Region 10 Conference (TENCON’96), Perth,
Australia, ISBN 0-7803-3679-8, November 1996, 966 pages.
H.R. Wu, K.N. Ngan, B. Qiu and S. Suthaharan, Proceedings of IEEE International
Workshop on Intelligent Signal Processing and Communication Systems, Melbourne,
Australia, ISBN 0-7803-9948-X, November 1998, 953 pages.
K.N. Ngan, T. Sikora and M.T. Sun, Proceedings of SPIE International Conference
on Visual Communications and Image Processing, Perth, Australia, ISSN 0277786X, ISBN 0-8194-3703-4, vol. 4067, June 2000, 1684 pages.
K.N. Ngan and H. Li (Eds.), Video Segmentation and Its Applications, Springer,
ISBN 978-1-4419-9481-3, May 2011, 164 pages.
颜庆义(作者),李宏亮(作者),郑丽颖(译者),视频分割及其应用,国防工业出版
社, Chinese ISBN 978-7-118-09216-5, April 2014, 160 pages.
C. Deng, L. Ma, W. Lin and K.N. Ngan (Eds.), Visual Signal Quality Assessment Quality of Experience, Springer, ISBN 978-3-319-10367-9, November 2014, 303
pages.

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Book Chapters

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K.N. Ngan and C.W. Yap, “Combined Source-Channel Video Coding,” in Signal
Recovery Techniques for Image and Video Compression and Transmission, Kluwer
Academic Publisher, ISBN 0-7923-8298-6, October 1998, pp. 269-297.
J. Dong and K.N. Ngan, “Present and Future Video Coding Standards,” in Intelligent
Multimedia Communication: Techniques and Applications, Springer, ISBN 978-3642-11685-8, January 2010, pp. 75-124.
S. Li, C.M. Mak and K.N. Ngan, “Visual Quality Evaluation for Images and Videos,”in Multimedia Analysis, Processing and Communication, Springer, ISBN 978-3-642-19550-1, November 2010, pp. 497-544.
H. Li and K.N. Ngan, “Image/Video Segmentation: Current Status, Trends, andChallenges,” in Video Segmentation and Its Applications, Springer, ISBN 978-14419-9481-3, January 2011, pp. 1-23.

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Q. Zhang and K.N. Ngan, “Multiview Image Segmentation and Video Tracking,” inVideo Segmentation and Its Applications, Springer, ISBN 978-1-4419-9481-3,
January 2011, pp. 117-143.
L. Ma, C. Deng, W. Lin, K.N. Ngan and L. Xu, “Retargeted Image Quality
Assessment: Current Progresses and Future Trends,” in Visual Signal Quality
Assessment - Quality of Experience, Springer, ISBN 978-3-319-10367-9, November
2014, pp. 213-242.

D.

Refereed Journal Papers

1.

R. Steele, K.N. Ngan and D.J. Goodman, "Adaptive difference detection andcorrection system for partial correction of transmission errors in linear PCM,"
Electronics Letters, U.K., vol. 14, no. 12, 1978, pp. 381-382.
K.N. Ngan and R. Steele, "Enhancement of PCM and DPCM images corrupted bytransmission errors," IEEE Transactions on Communications, U.S.A., vol. 30, no. 1,
January 1982, pp. 257-264.
K.N. Ngan, "Adaptive transform coding of video signals," IEE Proceedings-F, U.K.,
vol. 129, no. 1, February 1982, pp. 28-40.
K.N. Ngan, "Image display techniques using the cosine transform," IEEE
Transactions on Acoustics, Speech and Signal Processing, U.S.A., vol. 32, no. 1,
February 1984, pp. 173-177.
K.N. Ngan, "Hierarchical transmission of multi-level images for videotex systems,"
Displays, U.K., vol. 5, no. 2, April 1984, pp. 84-88.
K.N. Ngan, W.C. Hui and S.C. Lim, "Picture transmission for videotex," IEEE
Transactions on Consumer Electronics, U.S.A., vol. 31, no. 3, August 1985, pp. 301310.
K.N. Ngan and K.S. Leong, "Fast convergence method for Lloyd-Max quantiser
design," Electronics Letters, U.K., vol. 22, no. 16, July 1986, pp. 844-846.
K.N. Ngan, "Experiments on two-dimensional decimation in time and orthogonaltransform domain," Signal Processing, The Netherlands, vol. 11, no. 3, October
1986, pp. 249-263.
K.N. Ngan and H. Singh, "Robotic vision system for automatic identification andsorting of parts," Engineering Journal of Singapore, Singapore, vol. 13, no. 1, 1986,
pp. 17-25.
K.N. Ngan, A.A. Kassim and H. Singh, "A parallel image processing system basedon the TMS32010 digital signal processor," IEE Proceedings-E, U.K., vol. 134, no.
2, March 1987, pp. 119-124.
K.N. Ngan, C.H. Aw and H. Singh, "Automated inspection and drilling system forprinted circuit boards," IES Journal, Singapore, vol. 27, no. 1, May 1987, pp. 7-13.
K.N. Ngan and S.B. Kang, "Geometric modelling of IC die bonds for inspection,"
Pattern Recognition Letters, The Netherlands, vol. 10, no. 1, July 1989, pp. 47-52.
K.N. Ngan, K.S. Leong and H. Singh, "Adaptive discrete cosine transform coding inperceptual domain," IEEE Transactions on Acoustics, Speech and Signal Processing,
U.S.A., vol. 37, no. 11, November 1989, pp. 1743-1750.
K.N. Ngan and B.Y.K. Aw, "Morphologic edge detector," Ngee Ann Polytechnic
Journal, Singapore, vol. 4, October 1990, pp. 33-38.
K.C. Chua, W.C.Wong and K.N. Ngan, "Error detection and correction of vector
quantised digital images," IEE Proceedings-I, U.K., vol. 137, no. 6, December 1990,
pp. 417-423.

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16. (Invited paper) K.N. Ngan, H.C. Koh and W.C. Wong, "A hybrid image coding
scheme incorporating human visual system characteristic," Optical Engineering,
U.S.A., vol. 30, no. 7, July 1991, pp. 940-946.
17. K.N. Ngan, D.W. Lin and M.L. Liou, "Enhancement of image quality for low bit rate
video coding," IEEE Transactions on Circuits and Systems, U.S.A., vol. 38, no. 10,
October 1991, pp. 1221-1225.
18. K.N. Ngan and H.C. Koh, "Predictive classified vector quantization," IEEE
Transactions on Image Processing, U.S.A., vol. 1, no. 3, July 1992, pp. 269-280.
19. K.N. Ngan and Sing B. Kang, “3-D object recognition using fuzzy quaternions,” IEE
Proceedings-I, U.K., vol. 139, no. 6, December 1992, pp. 561-568.
20. K.N. Ngan, J.S. Yee and H.C. Koh, “Low bit rate video coding using predictiveclassified vector quantization,” Asia-Pacific Engineering Journal, Singapore, vol. 2,
no. 4, December 1992, pp. 471-482.
21. K.N. Ngan and W.L. Chooi, "Subband motion analysis," Optical Engineering,
U.S.A., vol. 32, no. 7, July 1993, pp. 1483-1488.
22. K.N. Ngan, K.K. Sin and H.C. Koh, "HDTV coding using hybrid MRVQ/DCT,"IEEE Transactions on Circuits and Systems for Video Technology, U.S.A., vol. 3, no.
4, August 1993, pp. 320-323.
23. A.W. Johnson, T. Sikora, T.K. Tan and K.N. Ngan, “Filters for drift reduction in
frequency scalable video coding schemes,” Electronics Letters, U.K., vol. 30, no. 6,
March 1994, pp. 471-472.
24. T.K. Tan, K.K. Pang and K.N. Ngan, "A frequency scalable coding scheme
employing pyramid and subband techniques," IEEE Transactions on Circuits andSystems for Video Technology, U.S.A., vol. 4, no. 2, April 1994, pp. 203-207.
25. K.N. Ngan and W.L. Chooi, "Very low bit rate video coding using 3D subband
approach," IEEE Transactions on Circuits and Systems for Video Technology,
U.S.A., vol. 4, no. 3, June 1994, pp. 309-316.
26. L.H. Kieu and K.N. Ngan, "Cell-loss concealment techniques for layered video
codecs in an ATM network," IEEE Transactions on Image Processing, U.S.A., vol.
3, no. 5, September 1994, pp. 666-677.
27. K.N. Ngan, D. Chai and A. Millin, “Very low bit rate video coding using H.261-likecoder,” IEEE Transactions on Circuits and Systems for Video Technology, U.S.A.,
vol. 6, no. 3, June 1996, pp. 308-312.
28. S.H. Tan, K.K. Pang and K.N. Ngan, “Classified perceptual coding with adaptive
quantization,” IEEE Transactions on Circuits and Systems for Video Technology,
U.S.A., vol. 6, no. 4, August 1996, pp. 375-388.
29. M. Lee, K.N. Ngan and G. Crebbin, “A rate-distortion function for vector
quantization with a variable block-size classification model,” Journal of Visual
Communications and Image Representation, Academic Press, U.S.A., vol. 8, no. 4,
December 1997, pp. 356-363.
30. M. Lee and K.N. Ngan, “Video coding with a variable block-sizing technique in the
wavelet transform domain,” SPIE Journal of Electronic Imaging, U.S.A., vol. 7, no.
3, July 1998, pp. 539-547.
31. K.N. Ngan, S. Panchanathan, T. Sikora and M.-T. Sun, “Special Issue on
Segmentation, Description and Retrieval of Video Content,” IEEE Transactions on
Circuits and Systems for Video Technology, U.S.A., vol. 8, no. 5, September 1998,
pp. 521-524.

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(Invited paper) T. Meier and K.N. Ngan, “Automatic segmentation of moving
objects for video objects plane generation,” IEEE Transactions on Circuits andSystems for Video Technology, U.S.A., vol. 8, no. 5, September 1998, pp. 525-538.
S. Benton, B. Choquet, R. Horst, K.N. Ngan and M. Tanimoto, “Special Issue on 3D
Video Technology,” Signal Processing: Image Communication, Europe, vol. 14,
Nos. 1-2, November 1998, pp. 1-6.
H. Fan and K.N. Ngan, “Disparity map coding based on adaptive triangular surface
modelling,” Signal Processing: Image Communication, Europe, vol. 14, Nos. 1-2,
November 1998, pp. 119-130.
K.N. Ngan, S. Panchanathan, T. Sikora and M.-T. Sun, “Special Issue on
Representation and Coding of Images and Video I,” IEEE Transactions on Circuits
and Systems for Video Technology, U.S.A., vol. 8, no. 7, November 1998, pp. 797801.
K.N. Ngan, S. Panchanathan, T. Sikora and M.-T. Sun, “Special Issue on
Representation and Coding of Images and Video II,” IEEE Transactions on Circuits
and Systems for Video Technology, U.S.A., vol. 9, no. 1, February 1999, pp. 1-4.
T. Meier, K.N. Ngan and G. Grebbin, “Reduction of blocking artifacts in image andvideo coding,” IEEE Transactions on Circuits and Systems for Video Technology,
U.S.A., vol. 9, no. 3, April 1999, pp. 490-500.
C.W. Yap, K.N. Ngan and R. Liyanapathirana, “A combined source-channel videocoding scheme for mobile channels,” Signal Processing: Image Communication,
Europe, vol. 14, nos. 6-8, May 1999, pp. 559-574.
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D. Chai and K.N. Ngan, “Face segmentation using skin color map in videophone
applications,” IEEE Transactions on Circuits and Systems for Video Technology,
U.S.A., vol. 9, no. 4, June 1999, pp. 551-564.
T. Meier and K.N. Ngan, "Segmentation and tracking of moving objects for contentbased video coding," IEE Proceedings - Vision, Image and Signal Processing, U.K.,
vol. 146, no. 3, June 1999, pp. 144-150.
W.J. Heng, K.N. Ngan and M.H. Lee, "Comparison of MPEG domain elements for
low-level shot boundary detection," Journal of Real-Time Imaging, Academic Press,
U.S.A., vol. 5, no. 5, October 1999, pp. 341-358.
T. Meier and K.N. Ngan, “Video segmentation for content-based coding,” IEEE
Transactions on Circuits and Systems for Video Technology, U.S.A., vol. 9, no. 8,
December 1999, pp. 1190-1203.
K.N. Ngan, M. Strintzis, M. Tanimoto and Y. Wang, “Special Issue on 3-D Video
Technology,” IEEE Transactions on Circuits and Systems for Video Technology,
U.S.A., vol. 10, no. 2, March 2000, pp. 185-187.
C.W. Yap and K.N. Ngan, "Error resilient transmission of SPIHT coded images overfading channels," IEE Proceedings - Vision, Image and Signal Processing, U.K., vol.
148, no. 1, February 2001, pp. 59-64.
W.J. Heng and K.N. Ngan, "Long transition analysis for digital video sequences,"
Circuits, Systems and Signal Processing, Birkhäuser Boston, U.S.A., vol. 20, no. 2,
2001, pp. 113-141.
W.J. Heng and K.N. Ngan, "An object-based shot boundary detection using edge
tracing and tracking," Journal of Visual Communications and Image Representation,
Academic Press, U.S.A., vol. 12, no. 3, September 2001, pp. 217-239.

Fourth most cited paper in IEEE Transactions on Circuits and Systems for Video Technology in 1998.
Second most cited paper in IEEE Transactions on Circuits and Systems for Video Technology in 1999.

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C. Zhao, K.N. Ngan, J. Zhang, R. Mathew and X. Zhang, “Using inter frame
dependence history to select intra refresh blocks,” Electronics Letters, U.K., vol. 38,
no. 22, October 2002, pp. 1337-1338.
48. W.J. Heng and K.N. Ngan, "Shot boundary refinement for long transition in digital
video sequence," IEEE Transactions on Multimedia, U.S.A., vol. 4, no. 4, December
2002, pp. 434-445.
49. W.J. Heng and K.N. Ngan, "High accuracy flashlight scene determination for shotboundary detection," Signal Processing: Image Communication, Europe, vol. 18, no.
3, March 2003, pp. 203-219.
50. K.N. Ngan, T. Meier and Z. Chen, “Improved single video object rate control for
MPEG-4,” IEEE Transactions on Circuits and Systems for Video Technology,
U.S.A., vol. 13, no. 5, May 2003, pp. 385-392.
51. Y. Altunbasak, C.W. Chen, M.R. Civanlar and K.N. Ngan, “Guest Editorial: Recent
Advances in Wireless Video,” Signal Processing: Image Communication, Europe,
vol. 18, no. 10, Nov. 2003, pp. 857-860.
52. Z. Chen, K.N. Ngan and C. Zhao, “Improved rate control for MPEG-4 video
transport over wireless channel,” Signal Processing: Image Communication, Europe,
vol. 18, no. 10, Nov. 2003, pp. 879-887.
53. J. Lim, J. Kim, K.N. Ngan and K. Sohn, “Advanced rate control technologies for
3D-HDTV,” IEEE Transactions on Consumer Electronics, U.S.A., vol. 49, no. 4,
Nov. 2003, pp. 1498-1507.
54. J. Lim, K.N. Ngan, W. Yang and K. Sohn, “A multiview sequence CODEC withview scalability,” Signal Processing: Image Communication, Europe, vol. 19, no. 3,
March 2004, pp. 239-256.
55. Z. Chen and K.N. Ngan, “Linear rate-distortion models for MPEG-4 shape coding,”
IEEE Transactions on Circuits and Systems for Video Technology, U.S.A., vol. 14,
no. 6, June 2004, pp. 869-873.
56. Z. Chen and K.N. Ngan, “Rate-constrained arbitrarily shaped video object codingwith object-based rate control,” IEE Proceedings - Vision, Image and Signal
Processing, U.K., vol. 151, no. 4, August 2004, pp. 250-256.
57. W. Yang, K.N. Ngan, J.E. Lim and K. Sohn, “Joint Motion and Disparity Fields
Estimation for Stereoscopic Video Sequences” Signal Processing: Image
Communication, Europe, vol. 20, no. 3, March 2005, pp. 265-276.
58. Z. Ni, Z. Chen and K.N. Ngan, “A real-time video transport system for the besteffort Internet,” Signal Processing: Image Communication, Europe, vol. 20, no. 3,
March 2005, pp. 277-293.
59. J. Han, K.N. Ngan, M. Li and H. Zhang, “A memory learning framework for
effective image retrieval,” IEEE Transactions on Image Processing, U.S.A., vol. 14,
no. 4, April 2005, pp. 511-524.
60. D. Gao, J. Cai and K.N. Ngan, “Admission Control in IEEE 802.11e Wireless LANs,”IEEE Network, U.S.A., July-August 2005, pp. 6-13.
61. C.W. Chen, M. Ghanbari and K.N. Ngan, “Special issue on visual communication in
the ubiquitous era,” Journal of Visual Communications and Image Representation,
U.S.A., vol. 16, no. 4-5, August-October 2005, pp. 393-396.
62. J. Cai, J. Wu, K.N. Ngan and Z. He, “Joint mode selection and unequal error
protection for bitplane coded video transmission over wireless channels,” Journal of
Visual Communications and Image Representation, U.S.A., vol. 16, no. 4-5, AugustOctober 2005, pp. 412-431.

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J. Li, C. Zhao and K.N. Ngan, “VLC/FLC data partitioning with intra AC prediction
disabled,” Journal of Visual Communications and Image Representation, U.S.A.,
vol. 16, no. 4-5, August-October 2005, pp. 544-562.
Z. Chen and K.N. Ngan, “Joint texture-shape optimization for MPEG-4 multiple
video objects,” IEEE Transactions on Circuits and Systems for Video Technology,
U.S.A., vol. 15, no. 9, September 2005, pp. 1170-1174.
J. Han, K.N. Ngan, M. Li and H. Zhang, “Unsupervised extraction of visual attention
objects in color images,” IEEE Transactions on Circuits and Systems for Video
Technology, U.S.A., vol. 16, no. 1, January 2006, pp. 141-145.
Y. Liu and K.N. Ngan, “Embedded wavelet packet object-based image coding basedon context classification and quadtree ordering,” Signal Processing: Image
Communication, Europe, vol. 21, no. 2, February 2006, pp. 143-155.
W. Yang and K.N. Ngan, “MPEG-4 based stereoscopic video encoder using joint
disparity/motion estimation,” IEEE Transactions on Circuits and Systems for Video
Technology, U.S.A., vol. 16, no. 2, February 2006, pp. 286-290.
Andy C. Yu, K.N. Ngan, Graham R. Martin, “Efficient Intra- and Inter-mode
Selection Algorithms for H.264/ MPEG-4 AVC,” Journal of Visual Communications
and Image Representation, U.S.A., vol. 17, no. 2, April 2006, pp. 322-344.
Z. Chen and K.N. Ngan, “Distortion variation minimization in real time videocoding,” Signal Processing: Image Communication, Europe, vol. 21, no. 4, April
2006, pp. 273-279.
D. Tao, J. Cai, H. Yi, D. Rajan, L.-T. Chia, K.N. Ngan, “Dynamic ProgrammingBased Reverse Frame Selection for VBR Video Delivery under Constrained
Resources,” IEEE Transactions on Circuits and Systems for Video Technology,
U.S.A., vol. 16, no. 11, November 2006, pp. 1362-1375.
W. Yang, Y. Lu, F. Wu, J. Cai, K.N. Ngan and S. Li, “4-D wavelet-based multi-view
video coding,” IEEE Transactions on Circuits and Systems for Video Technology,
U.S.A., vol. 16, no. 11, November 2006, pp. 1385-1396.
Z. Chen, J. Han and K.N. Ngan, “Dynamic Bit Allocation for Multiple Video Object
Coding,” IEEE Transactions on Multimedia, U.S.A., vol. 8, no. 6, December 2006,
pp. 1117-1124.
H. Wang, K.N. Ngan and J. Ostermann, “Guest Editorial: Advances in VisualContent Analysis and Adaptation for Multimedia Communications”, IEEE
Communications Magazine, U.S.A., vol. 45, no. 1, January 2007, pp. 24-26.
H. Li and K.N. Ngan, “Automatic Video Segmentation and Tracking for ContentBased Applications”, IEEE Communications Magazine, U.S.A., vol. 45, no. 1,
January 2007, pp. 27-33.
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Z. Chen and K.N. Ngan, “Recent advances in rate control for video coding,” Signal
Processing: Image Communication, Europe, vol. 22, no. 1, January 2007, pp. 19-38.
Z. Chen and K.N. Ngan, “Towards Rate-Distortion Tradeoff in Real-Time Color
Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology,
U.S.A., vol. 17, no. 2, February 2007, pp. 158-167.
Y. Liu, F. Wu and K.N. Ngan, “3-D Object-Based Scalable Wavelet Video Coding
With Boundary Effect Suppression”, IEEE Transactions on Circuits and Systems forVideo Technology, U.S.A., vol. 17, no. 5, May 2007, pp. 639-644.
Y. Liu and K.N. Ngan, “Fast multiresolution motion estimation algorithms forwavelet-based scalable video coding,” Signal Processing: Image Communication,
Europe, vol. 22, no. 5, June 2007, pp. 448-465.

One of the top 25 hottest articles in Signal Processing: Image Communication in 2007.

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Z. Chen and K.N. Ngan, “A Unified Approach of Bit Rate Control for Binary andGray Level Shape Sequences Coding,” IEEE Transactions on Circuits and Systems
for Video Technology, U.S.A., vol. 17, no. 7, July 2007, pp. 823-832.
Z. Chen and K.N. Ngan, “A rate and distortion analysis of multiscale binary shapecoding based on statistical learning,” IEEE Transactions on Multimedia, U.S.A., vol.
9, no. 5, August 2007, pp. 987-994.
Z. Wei, T.K. Lam and K.N. Ngan, “Implementation of H.264 on Mobile Device,”
IEEE Transactions on Consumer Electronics, U.S.A., vol. 53, no. 3, August 2007,
pp. 1109-1116.
C.H. Foh, Y. Zhang, Z. Ni, J. Cai, and K.N. Ngan, “Optimized Cross-Layer Design
for Scalable Video Transmission over the IEEE 802.11e Networks,” IEEE
Transactions on Circuits and Systems for Video Technology, U.S.A., vol. 17, no. 12,
December 2007, pp. 1665-1678.
H. Li and K.N. Ngan, “Unsupervised video segmentation with low depth of field,”IEEE Transactions on Circuits and Systems for Video Technology, U.S.A., vol. 17,
no. 12, December 2007, pp. 1742-1751.
D. Gao, J. Cai, C.T. Lau, K.N. Ngan, “Improving WLAN VoIP Capacity throughService Differentiation,” IEEE Transactions on Vehicular Technology, U.S.A., vol.
57, no. 1, January 2008, pp. 465-474.
Y. Liu and K.N. Ngan, “Weighted Adaptive Lifting-based Wavelet Transform for
Image Coding,” IEEE Transactions on Image Processing, U.S.A., vol. 17, no. 4,
April 2008, pp. 500-511.
H. Li, K.N. Ngan and Z. Wei, “Fast and Efficient Method for Block Edge
Classification and Its Application in H.264/AVC Video Coding,” IEEE Transactions
on Circuits and Systems for Video Technology, U.S.A., vol. 18, no. 6, June 2008, pp.
756-768.
H. Li and K.N. Ngan, “Saliency Model based Face Segmentation and Tracking in
Head-and-Shoulder Video Sequences,” Journal of Visual Communications andImage Representation, U.S.A., vol. 19, no. 5, July 2008, pp. 320-333.
Y. Liu, K.N. Ngan and F. Wu, “3-D Shape-Adaptive Directional Wavelet Transformfor Object-Based Scalable Video Coding,” IEEE Transactions on Circuits andSystems for Video Technology, U.S.A., vol. 18, no. 7, July 2008, pp. 888-899.
J. Li and K.N. Ngan “Adaptive Partition Size Temporal Error Concealment for
H.264 using Weighted Double-Sided EBME Minimization,” Signal Processing:Image Communication, Europe, vol. 23, no. 6, July 2008, pp. 451-462.
Z. Wei, K.N. Ngan and H. Li, “An Efficient Intra Mode Selection Algorithm for
H.264 Based on Edge Classification and Rate-Distortion Estimation,” Signal
Processing: Image Communication, Europe, vol. 23, no. 9, October 2008, pp. 699710.
Z. Chen, D. Zhang and K.N. Ngan, “An Efficient Algorithm for H.264/AVC HighDefinition Video Coding,” IEEE Transactions on Consumer Electronics, U.S.A.,
vol. 54, no. 4, November 2008, pp. 1852-1857.
H. Li, K.N. Ngan and Q. Liu, “FaceSeg: Automatic Face Segmentation for Real-timeVideo,” IEEE Transactions on Multimedia, U.S.A., vol. 11, no. 1, January 2009, pp.
77-88.
Z. Wei and K.N. Ngan, “Spatio-temporal Just Noticeable Distortion Profile for Grey
Scale Image/Video in DCT Domain,” IEEE Transactions on Circuits and Systems
for Video Technology, U.S.A., vol. 19, no. 3, March 2009, pp. 337-346.

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W. Gao, K.N. Ngan and, L. Yu, “Special issue on AVS and its applications: Guest
editorial,” Signal Processing: Image Communication, Europe, vol. 24, no. 4, April
2009, pp. 245-246.
95. X. Jin, S. Li and K.N. Ngan, “Platform-independent MB-based AVS video standard
implementation,” Signal Processing: Image Communication, Europe, vol. 24, no. 4,
April 2009, pp. 312-323.
96. D. Zhang, K.N. Ngan and Z. Chen, “A Two-Pass Rate Control Algorithm for
H.264/AVC High Definition Video Coding,” Signal Processing: Image
Communication, Europe, vol. 24, no. 5, May 2009, pp. 357-367.
97. H. Shu and K.N. Ngan, “Pre- and Post-shift Filtering for Blocking Removing in
Downsizing Transcoding,” IEEE Transactions on Circuits and Systems for Video
Technology, U.S.A., vol. 19, no. 6, June 2009, pp. 882-886.
98. H. Li and K.N. Ngan, “Semantic Object Segmentation,” IEEE Communications
Society Multimedia Communications Technical Committee E-Letter, vol. 4, no. 6,
July 2009, pp. 6-8.
99. (Invited Paper) C. Cui, Q. Zhang and K.N. Ngan, “Multi-view Video Based Object
Segmentation - A Tutorial,” ECTI Transactions on Electrical Engineering,Electronics and Communications, Thailand, vol. 7, no. 2, August 2009, pp. 90-105.
100. J. Dong, K.N. Ngan, C.K. Fong and W.K. Cham, “2D Order-16 Integer Transforms
for HD Video Coding,” IEEE Transactions on Circuits and Systems for Video
Technology, U.S.A., vol. 19, no. 10, October 2009, pp. 1462-1474.
101. Z. Liu, H. Yan, L. Shen, K.N. Ngan and Z. Zhang, “Adaptive Image Retargeting
Using Saliency-based Continuous Seam Carving,” Optical Engineering, U.S.A., vol.
49, no. 1, January 2010, pp. 017002.1-10.
102. C. Cui and K.N. Ngan, “Plane-based External Camera Calibration with Accuracy
Measured by Relative Deflection Angle,” Signal Processing: Image Communication,
Europe, vol. 25, no. 3, March 2010, pp. 224-234.
103. L. Ma, S. Li and K.N. Ngan, “Visual Horizontal Effect for Image Quality
Assessment”, IEEE Signal Processing Letters, U.S.A., vol. 17, no. 7, July 2010, pp.
627-630.
104. Q. Zhang and K.N. Ngan, “Multi-view Video Based Multiple Objects Segmentation
Using Graph Cut and Spatiotemporal Projections,” Journal of Visual
Communications and Image Representation, U.S.A., vol. 21, no. 5-6, July-August
2010, pp. 453-461.
105. J. Dong and K.N. Ngan, “Real-time De-interlacing for H.264 Coded HD Videos,”IEEE Transactions on Circuits and Systems for Video Technology, U.S.A., vol. 20,
no. 8, August 2010, pp. 1144-1149.
106. J. Dong and K.N. Ngan, “Parametric Interpolation Filter for HD Video Coding,”
IEEE Transactions on Circuits and Systems for Video Technology, U.S.A., vol. 20,
no. 12, December 2010, pp. 1892-1897.
107. L. Ma, K.N. Ngan, F. Zhang and S. Li, “Adaptive Block-Size Transform Based JustNoticeable Difference Model for Images/Videos,” Signal Processing: Image
Communication, Europe, vol. 26, no. 3, March 2011, pp. 162-174.
108. C. Cui and K.N. Ngan, “Scale and Affine Invariant Fan Feature,” IEEE Transactions
on Image Processing, U.S.A., vol. 20, no. 6, June 2011, pp. 1627-1640.
109. Q. Liu, H. Li and K.N. Ngan, “Automatic Body Segmentation with Graph Cut and
Self-Adaptive Initialization Level Set (SAILS),” Journal of Visual Communications
and Image Representation, U.S.A., vol. 22, no. 5, July 2011, pp. 367-377.

8

110. X. Jin, S. Goto and K.N. Ngan, “Composite Model Based DC Dithering for
Suppressing Contour Artifacts in Decompressed Video,” IEEE Transactions on
Image Processing, U.S.A., vol. 20, no. 8, August 2011, pp. 2110-2121.
111. F. Zhang, L. Ma, S. Li and K.N. Ngan, “Practical image quality metric applied toimage coding,” IEEE Transactions on Multimedia, U.S.A., vol. 13, no. 4, August
2011, pp. 615-624.
112. L. Ma, S. Li, F. Zhang and K.N. Ngan, “Reduced-Reference Image Quality
Assessment Using Reorganized DCT-Based Image Representation,” IEEE
Transactions on Multimedia, U.S.A., vol. 13, no. 4, August 2011, pp. 824-829.
113. S. Li, F. Zhang, L. Ma and K.N. Ngan, “Image Quality Assessment by Separately
Evaluating Detail Losses and Additive Impairments,” IEEE Transactions on
Multimedia, U.S.A., vol. 13, no. 5, October 2011, pp. 935-949.
114. J. Dong and K.N. Ngan, “Adaptive Pre-interpolation Filter for High-performance
Video Coding,” Journal of Visual Communications and Image Representation,
U.S.A., vol. 22, no. 8, October 2011, pp. 697-703.
115. H. Li and K.N. Ngan, “Learning to Extract Focused Object from Low DOF Images,”
IEEE Transactions on Circuits and Systems for Video Technology, U.S.A., vol. 21,
no. 11, November 2011, pp. 1571-1580.
116. F. Zhang, W. Liu, W. Lin and K.N. Ngan, “Spread Spectrum Image Watermarking
Based on Perceptual Quality Metric,” IEEE Transactions on Image Processing,
U.S.A., vol. 20, no. 11, November 2011, pp. 3207-3218.
117. Q. Zhang and K.N. Ngan, “Segmentation and Tracking Multiple Objects underOcclusion from Multi-view Video,” IEEE Transactions on Image Processing,
U.S.A., vol. 20, no. 11, November 2011, pp. 3308-3313.
118. H. Li and K.N. Ngan, “A Co-saliency Model of Image Pairs,” IEEE Transactions on
Image Processing, U.S.A., vol. 20, no. 12, December 2011, pp. 3365-3375.
119. H. Li, G. Liu and K.N. Ngan, “Guided Face Cartoon Synthesis,” IEEE Transactions
on Multimedia, U.S.A., vol. 13, no. 6, December 2011, pp. 1230-1239.
120. W. Luo, H. Li, G. Liu and K.N. Ngan, “Global salient information maximization forsaliency detection,” Signal Processing: Image Communication, Europe, vol. 27, no.
3, March 2012, pp. 238-248.
121. J. Dong and K.N. Ngan, “Two-Layer Directional Transform for High Performance
Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology,
U.S.A., vol. 22, no. 4, April 2012, pp. 619-625.
122. S. Li, L. Ma and K.N. Ngan, “Full-Reference Video Quality Assessment by
Decoupling Detail Losses and Additive Impairments,” IEEE Transactions on
Circuits and Systems for Video Technology, U.S.A., vol. 22, no. 7, July 2012, pp.
1100-1112.
123. Z. Liu, R. Shi, L. Shen, Y. Xue, K.N. Ngan and Z. Zhang, “Unsupervised salient
object segmentation based on kernel density estimation and two-phase graph cut,”IEEE Transactions on Multimedia, U.S.A., vol. 14, no. 4, August 2012, pp. 12751289.
124. F. Meng, H. Li, G. Liu, and K.N. Ngan, "Object Co-segmentation based on Shortest
Path Algorithm and Saliency Model," IEEE Transactions on Multimedia, U.S.A.,
vol. 14, no. 5, October 2012, pp. 1429-1441.
125. L. Ma, W. Lin, C. Deng and K.N. Ngan, “Image Retargeting Quality Assessment: A
Study of Subjective Scores and Objective Metrics,” IEEE Journal of Selected Topics
in Signal Processing, U.S.A., vol. 6, no. 6, October 2012, pp. 626-639.

9126. L. Ma, S. Li and K.N. Ngan, “Reduced-Reference Video Quality Assessment ofCompressed Video Sequences,” IEEE Transactions on Circuits and Systems forVideo Technology, U.S.A., vol. 22, no. 10, October 2012, pp. 1441-1456.
127. F. Zhang, W. Lin, Z. Chen and K.N. Ngan, “Additive Log-logistic Model for Video
Quality Assessment,” IEEE Transactions on Image Processing, U.S.A., vol. 22, no.
4, April 2013, pp. 1536-1547.
128. F. Meng, H. Li, G. Liu and K.N. Ngan, “Image Co-segmentation by Incorporating
Color Reward Strategy and Active Contours Model,” IEEE Transactions on
Cybernetics, U.S.A., vol. 43, no. 2, April 2013, pp. 725-737.
129. L. Xu, H. Li, L. Zeng and K. N. Ngan, "Saliency detection using joint spatial-color
constraint and multi-scale segmentation", Journal of Visual Communication andImage Representation, vol. 24, no. 4, pp. 465-476, May 2013.
130. (Invited paper) L. Ma, C. Deng, K.N. Ngan and W. Lin, “Recent Advances andChallenges of Visual Signal Quality Assessment,” China Communication, China,
vol. 10, no. 5, May 2013, pp. 62-78.
131. L. Xu, S. Li, K.N. Ngan and L. Ma, “Consistent Visual Quality Control in Video
Coding,” IEEE Transactions on Circuits and Systems for Video Technology, U.S.A.,
vol. 23, no. 6, pp. 975-989, June 2013.
132. S. Li, L. Ma and K.N. Ngan, “Anaglyph Image Generation by Matching Color
Appearance Attributes,” Signal Processing: Image Communication, Europe, vol. 28,
no. 6, pp. 597-607, July 2013.
133. C. Cui and K.N. Ngan, “Global Propagation of Affine Invariant Features for Robust
Matching,” IEEE Transactions on Image Processing, U.S.A., vol. 22, no. 7, pp.
2876-2888, July 2013.
134. M. Wang, B. Yan and K.N. Ngan, “An Efficient Framework for Image/video
Inpainting,” Signal Processing: Image Communication, Europe, vol. 28, no. 7, pp.
753-762, August 2013.
135. L. Ma, S. Li and K.N. Ngan, “Reduced-Reference Image Quality Assessment in
Reorganized DCT Domain,” Signal Processing: Image Communication, Europe, vol.
28, no. 8, pp. 884-902, September 2013.
136. F. Meng, H. Li, K.N. Ngan, L. Zeng and Q. Wu, “Feature Adaptive Co-segmentation
by Complexity Awareness,” IEEE Transactions on Image Processing, U.S.A., vol.
22, no. 12, pp. 4809-4824, December 2013.
137. H. Li, F. Meng and K. N. Ngan, "Co-Salient Object Detection from Multiple
Images", IEEE Transactions on Multimedia, U.S.A., vol. 15, no. 8, pp. 1896-1909,
December 2013.
138. F. Meng, H. Li, G. Liu and K.N. Ngan, “From Logo to Object Segmentation,” IEEE
Transactions on Multimedia, U.S.A., vol. 15, no. 8, pp. 2186-2197, December 2013.
139. M. Wang, K.N. Ngan and L. Xu, “Efficient H.264/AVC Video Coding with
Adaptive Transforms,” IEEE Transactions on Multimedia, U.S.A., vol. 16, no. 4, pp.
933-946, June 2014.
140. M. Wang, K.N. Ngan and H. Li, “An Efficient Frame-content based Intra Frame
Rate Control for High Efficiency Video Coding,” IEEE Signal Processing Letters,
U.S.A., vol. 22, no. 7, pp. 896-900, July 2015.
141. L. Sheng, K.N. Ngan, C.-L. Lim and S. Li, “Online Temporally Consistent Indoor
Depth Video Enhancement via Static Structure,” IEEE Transactions on Image
Processing, U.S.A., U.S.A., vol. 24, no. 7, pp. 2197-2211, July 2015.
142. Q. Wu, H. Li, F. Meng, K.N. Ngan and S. Zhu, “No Reference Image Quality
Assessment Metric via Multi-domain Structural Information and Piecewise10Regression,” Journal of Visual Communication and Image Representation, U.S.A.,
vol. 32, pp. 205-216, October 2015.
143. H. Zeng, A. Yang, K.N. Ngan and M. Wang, “Perceptual sensitivity-based rate
control method for high efficiency video coding,” Multimedia Tools andApplications, vol. 75, no. 17, pp. 10383–10396, September 2016.
144. R. Shi, K.N. Ngan, S. Li, R. Paramesran and H. Li, “Visual Quality Evaluation of
Image Object Segmentation: Subjective Assessment and Objective Measure,” IEEE
Transactions on Image Processing, U.S.A., vol. 24, no. 12, pp. 5033-5045,
December 2015.
145. J. Xiong, H. Li, F. Meng, Q. Wu and K.N. Ngan, “Fast HEVC Inter CU Decision
based on Latent SAD Estimation”, IEEE Transactions on Multimedia, U.S.A., vol.
17, no. 12, pp. 2147-2159, December 2015.
146. Q. Wu, H. Li, F. Meng, K.N. Ngan, B. Luo, C. Huang, and B. Zeng “Blind Image
Quality Assessment Based on Multichannel Feature Fusion and Label Transfer,”
IEEE Transactions on Circuits and Systems for Video Technology, U.S.A., vol. 26,
no. 3, pp. 425-440, March 2016.
147. L. Xu, W. Lin, L. Ma, Y. Zhang, Y. Fang, K.N. Ngan, S. Li, and Y. Yan, “Freeenergy Principle Inspired Video Quality Metric and Its Use in Video Coding”, IEEE
Transactions on Multimedia, U.S.A., U.S.A., vol. 18, no. 4, pp. 590-602, April 2016.
148. Q. Liu, W. Zhang, H. Li and K.N. Ngan, “Hybrid human detection and recognitionin surveillance,” Neurocomputing, U.S.A., vol. 194, pp. 10-23, June 2016.
149. M. Wang, K.N. Ngan and H. Li, “Low-delay Rate Control for Consistent Quality
Using Distortion-based Lagrange Multiplier,” IEEE Transactions on Image
Processing, U.S.A., vol. 25, no. 7, pp. 2943-2955, July 2016.
150. S. Li, K.N. Ngan, R. Paramesran and L. Sheng, “Real-time Head Pose Tracking with
Online Face Template Reconstruction,” IEEE Transactions on Pattern Analysis andMachine Intelligence, U.S.A., vol. 38, no. 9, pp. 1922-1928, September 2016.
151. Y. Tew, K. Wong, R.C.-W. Phan and K.N. Ngan, “Multi-layer Authentication
Method for HEVC Video based on Embedded Statistics”, Journal of Visual
Communication and Image Representation, U.S.A., vol. 40, Part B, pp. 502-515,
October 2016.
152. L. Ma, L. Xu, Y. Zhang, Y. Yan and K.N. Ngan, “No-Reference Retargeted Image
Quality Assessment Based on Rank Learning”, IEEE Transactions on Multimedia,
U.S.A., vol. 18, no. 11, pp. 2228-2237, November 2016.
153. C.-L. Lim, R. Paramesran, W.A. Jassim, Y.-P. Yu and K.N. Ngan, “Blind Image
Quality Assessment For Gaussian Blur Images Using Exact Zernike Moments And
Gradient Magnitude”, Journal of the Franklin Institute - Engineering and Applied
Mathematics, U.S.A., vol. 353, no. 17, pp. 4715-4733, November 2016.
154. (Invited Paper) L. Ma, X. Wang, Q. Liu and K.N. Ngan, “Reorganized DCT-based
image representation for reduced reference stereoscopic image quality assessment,”
Neurocomputing, U.S.A., vol. 215, pp. 21-31, November 2016.
155. F. Meng, H. Li, Q. Wu, B. Luo and K.N. Ngan, “Weakly Supervised Part Proposal
Segmentation from Multiple Images,” IEEE Transactions on Image Processing,
U.S.A., vol. 26, no. 8, pp. 4019-4031, August 2017.
156. W. Li, H. Li, B. Luo, H. Shi, Q. Wu and K.N. Ngan, “Improving Object Proposals
with Top-down Cues”, Signal Processing: Image Communication, Europe, vol. 56,
pp. 20-27, August 2017.
157. R. Shi and K.N. Ngan, “Gaze-based Object Segmentation”, IEEE Signal Processing
Letters, U.S.A., vol. 24, no. 10, pp. 1493-1497, October 2017.

11158. Q. Wu, H. Li, Z. Wang, F. Meng, B. Luo, W. Li and K.N. Ngan, “Blind Image
Quality Assessment Based on Rank-Order Regularized Regression”, IEEE
Transactions on Multimedia, U.S.A., vol. 19, no. 11, pp. 2490-2504, November
2017.
159. L. Ma, H. Li, F. Meng, Q. Wu, and K.N. Ngan, “Learning Efficient Binary Codes
From High-Level Image Representations for Multilabel Image Retrieval”, IEEE
Transactions on Multimedia, U.S.A., vol. 19, no. 11, pp. 2545-2560, November
2017.
160. Y. Zhang, K.N. Ngan, L. Ma and H. Li, “Objective Quality Assessment of Image
Retargeting by Incorporating Fidelity Measures and Inconsistency Detection”, IEEE
Transactions on Image Processing, U.S.A., vol. 26, no. 12, pp. 5980-5993,
December 2017.
161. Q. Wu, H. Li, F. Meng and K.N. Ngan, “Generic Proposal Evaluator: A Lazy
Learning Strategy Toward Blind Proposal Quality Assessment”, IEEE Transactions
on Intelligent Transportation Systems, U.S.A., vol. 19, no. 1, pp. 306-319, January2018.
162. F. Meng, H. Li, Q. Wu, K.N. Ngan and J. Cai, “Seeds-based Part Segmentation by
Seeds Propagation and Region Convexity Decomposition”, IEEE Transactions on
Multimedia, U.S.A., vol. 20, no. 2, pp. 310-322, February 2018.
163. L. Tang, H. Li, Q. Wu and K.N. Ngan, “Boundary-Guided Optimization Framework
for Saliency Refinement”, IEEE Signal Processing Letters, U.S.A., vol. 25, no. 4,
pp. 491-495, April 2018.
164. F. Meng, H. Li, Q. Wu, B. Luo, C. Huang and K.N. Ngan, “Globally Measuring the
Similarity of Superpixels by Binary Edge Maps for Superpixel Clustering”, IEEE
Transactions on Circuits and Systems for Video Technology, U.S.A., vol. 28, no. 4,
pp. 906-919, April 2018.
165. Q. Wu, H. Li, F. Meng and K.N. Ngan, “A Perceptually Weighted Rank Correlation
Indicator for Objective Image Quality Assessment”, IEEE Transactions on Image
Processing, U.S.A., vol. 27, no. 5, pp. 2499-2513, May 2018.
166. L. Ma, H. Li, F. Meng, Q. Wu and K.N. Ngan, “Global and Local SemanticsPreserving Based Deep Hashing for Cross-Modal Retrieval”, Neurocomputing,
U.S.A., vol. 312, pp. 49-62, May 2018.
167. C.H. Cheung, K.N. Ngan and L. Sheng, “Spatio-Temporal Disocclusion Filling
Using Novel Sprite Cells”, IEEE Transactions on Multimedia, U.S.A., vol. 20, no. 6,
pp. 1376-1391, June 2018.
168. Q. Wu, H. Li, F. Meng, K.N. Ngan, “Toward a blind quality metric for temporally
distorted streaming video”, IEEE Transactions on Broadcasting, U.S.A., vol. 64, no.
2, pp. 367–378, June 2018.
169. R. Shi, K.N. Ngan, S. Li and H. Li, “Interactive Object Segmentation in Two
Phases”, Signal Processing: Image Communication, Europe, vol. 65, pp. 107-114,
July 2018.
170. B. Luo, H. Li, F. Meng, Q. Wu and K.N. Ngan, “An Unsupervised Method toExtract Video Object via Complexity Awareness and Object Local Parts,” IEEE
Transactions on Circuits and Systems for Video Technology, U.S.A., vol. 28, no. 7,
pp. 1580-1594, July 2018.
171. Q. Wu, H. Li, K.N. Ngan and K. Ma, “Blind Image Quality Assessment Using Local
Consistency Aware Retriever and Uncertainty Aware Evaluator,” IEEE Transactions
on Circuits and Systems for Video Technology, U.S.A., vol. 28, no. 9, pp. 20782089, September 2018.

12

172. Y. Tew, K.S. Wong, R.C.W. Phan, K.N. Ngan, “Separable authentication in
encrypted HEVC video”, Multimedia Tools and Applications, vol. 77, no. 18, pp.
24165–24184, September 2018.
173. H. Shi, H. Li, F. Meng, Q. Wu, L. Xu and K.N. Ngan, “Hierarchical Parsing Net:
Semantic Scene Parsing from Global Scene to Objects”, IEEE Transactions on
Multimedia, U.S.A., vol. 20, no. 10, pp. 2670-2682, October 2018.
174. T. Zhao, S. Li, K.N. Ngan and F. Wu, “3-D Reconstruction of Human Body Shapefrom a Single Commodity Depth Camera”, IEEE Transactions on Multimedia,
U.S.A., vol. 21, no. 1, pp. 114-123, January 2019.
175. Fanzi Wu, Songnan Li, Tianhao Zhao, King Ngi Ngan, Lv Sheng, “Cascaded
Regression using Landmark Displacement for 3D Face Reconstruction”, Pattern
Recognition Letters, vol. 125, pp. 766-772, July 2019.
176. H. Qiu, H. Li, Q. Wu, F. Meng, K.N. Ngan and H. Shi, “A2RMNet: Adaptively
Aspect Ratio Multi-Scale Network for Object Detection in Remote Sensing Images”,
Remote Sensing, vol. 11, no. 13, 1594, July 2019.
177. L. Sheng, J. Cai, T.J. Cham, V. Pavlovic, K.N. Ngan, “Visibility Constrained
Generative Model for Depth-based 3D Facial Pose Tracking”, IEEE Transactions on
Pattern Analysis and Machine Intelligence, U.S.A., vol. 41, no. 8, pp. 1994-2007,
August 2019.
178. Y. Zhang, C.P. Huynh and K.N. Ngan, “Feature Fusion with Predictive Weighting
for Spectral Image Classiﬁcation and Segmentation”, IEEE Transactions on
Geoscience and Remote Sensing, U.S.A., vol. 57, no. 9, pp. 6792-6807, September
2019.
179. M. Wang, W. Xie, X. Meng, H. Zeng and K.N. Ngan, “UHD Video Coding: A
Light-weight Learning-based Fast Super-block Approach”, IEEE Transactions on
Circuits and Systems for Video Technology, U.S.A., vol. 29, no. 10, pp. 3083-3094,
October 2019.
180. W. Li, H. Li, Q. Wu, X. Chen and K.N. Ngan, “Simultaneously Detecting andCounting Dense Vehicles from Drone Images”, IEEE Transactions on Industrial
Electronics, U.S.A., vol. 66, no. 12, pp. 9651-9662, December 2019.
181. W. Li, H. Li, Q. Wu, F. Meng, L. Xu and K.N. Ngan, “HeadNet: An End-to-End
Adaptive Relational Network for Head Detection”, IEEE Transactions on Circuits
and Systems for Video Technology, U.S.A., vol. 30, no. 2, pp. 482-494, February
2020.
182. L. Ma, H. Li, F. Meng, Q. Wu and K.N. Ngan, “Discriminative Deep Metric
Learning for Asymmetric Discrete Hashing”, Neurocomputing, vol. 380, pp. 115124, March 2020.
183. Q. Cheng, H. Li, Q. Wu and K.N. Ngan, “Hybrid-loss Supervision for Deep Neural
Network”, Neurocomputing, vol. 388, pp. 78-89, May 2020.
184. Q. Cheng, H. Li, Q. Wu, L. Ma and K.N. Ngan, “Parametric Deformable
Exponential Linear Units for Deep Neural Networks”, Neural Networks, vol. 125,
pp. 281-289, May 2020.
185. M. Wang, J. Xiong, L. Xu, W. Xie, K.N. Ngan and J. Qin, “Rate Constrained
Multiple-QP Optimization for HEVC”, IEEE Transactions on Multimedia, U.S.A.,
vol. 22, no. 6, pp. 1395-1406, June 2020.
186. Q. Wu, W. Li, K.N. Ngan, H. Li, , F. Meng and L. Xu and, “Subjective andObjective De-Raining Quality Assessment Towards Authentic Rain Image”, IEEE
Transactions on Circuits and Systems for Video Technology, U.S.A., vol. 30, no. 11,
pp. 3883-3897, November 2020.

13

187. M. Wang, J. Xiong, L. Xu, W. Xie, K.N. Ngan and J. Qin, “Hierarchical Context
Features Embedding for Object Detection”, IEEE Transactions on Multimedia,
U.S.A., vol. 22, no. 12, pp. 3039-3050, December 2020.
188. X. Chen, H. Li, Q. Wu, K.N. Ngan and L. Xu, “High-Quality R-CNN Object
Detection Using Multi-Path Detection Calibration Network”, IEEE Transactions on
Circuits and Systems for Video Technology, U.S.A., vol. 31, no. 2, pp. 715-727,
February 2021.
189. H. Shi, H. Li, Q. Wu and K.N. Ngan, “Query Reconstruction Network for Referring
Expression Image Segmentation”, IEEE Transactions on Multimedia, U.S.A., vol.
23, pp. 995-1007, 2021.
190. C.H. Cheung, L. Sheng and K.N. Ngan, “Motion Compensated Virtual View
Synthesis Using Novel Particle Cell”, IEEE Transactions on Multimedia, U.S.A.,
vol. 23, pp. 1908-1923, 2021.
191. H. Wei, Q. Wu, H. Li, K.N. Ngan, H. Li, F. Meng and L. Xu, “Non-HomogeneousHaze Removal via Artificial Scene Prior and Bidimensional Graph Reasoning”,
IEEE Transactions on Image Processing, U.S.A., vol. 30, pp. 9136-9149, 2021.
192. H. Li, Q. Wu, K.N. Ngan, H. Li and F. Meng, “Single Image Dehazing Via Region
Adaptive Two-Shot Network”, IEEE Multimedia, U.S.A., vol. 28, no. 3, pp. 97-106,
July-September 2021.
193. R. Zhang, F. Meng, H. Li, Q. Wu and K.N. Ngan, “Category boundary re-decisionby component labels to improve generation of class activation map”,
Neurocomputing, vol. 469 pp. 105-118, January 2022.
194. C. Shang, H. Li, F. Meng, H. Qiu, Q. Wu, L. Xu and K.N. Ngan, “Instance-level
Context Attention Network for instance segmentation”, Neurocomputing, vol. 472,
pp. 124-137, February 2022.
E.

Refereed Conference Papers.

1.

K.N. Ngan and R. Steele, "Adaptive partial correction scheme for PCM encoded
monochrome pictures," Picture Coding Symposium, Ipswich, U.K., July 1979, Paper
13.3.
K.N. Ngan and R.J. Clarke, "Lowpass filtering in the cosine transform domain,"IEEE International Conference on Communications, Seattle, U.S.A., June 1980, pp.
31.7.1-31.7.5.
(Invited paper) K.N. Ngan and R. Steele, "Enhancement of PCM and DPCM images
corrupted by transmission errors," IEEE National Telecommunications Conference,
Houston, U.S.A., November 1980, pp. 50.5.1-50.5.5.
K.N. Ngan and R.J. Clarke, "Filtering and sub-sampling using transform coding
techniques," IEE International Conference on Electronic Image Processing, York,U.K., July 1982, pp. 220-224.
K.N. Ngan, "Image display techniques for videotex systems," IEEE International
Conference on Consumer Electronics, Chicago, U.S.A.,June 1983, pp. 52.
K.N. Ngan, W.C. Hui and S.C. Lim, "Picture transmission for videotex," IEEE
International Conference on Consumer Electronics, Chicago, U.S.A., June 1985, pp.
202-203.
P. Brierley and K.N. Ngan, "Robotic vision," International Conference on
Automation in Manufacturing, September 1985, Singapore, Part 4, pp.26-60.
K.N. Ngan, "Two-dimensional transform domain decimation techniques," IEEE
International Conference on Acoustics, Speech and Signal Processing, Tokyo, Japan,
April 1986, pp. 1001-100.

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C.C. Ko, Y.C. Lim and K.N. Ngan, "A simple fast adaptive array based on a nullsteering beamformer," IEEE International Conference on Acoustics, Speech andSignal Processing, Tokyo, Japan, April 1986, pp. 1821-1824.
S.H. Boey, M.S.R. Khan, K. Ong, K.N. Ngan and J.S. Daruwalla, "Development of
an image processing system for the measurement of spinal deformities in scoliosis,"
3rd Symposium on Biomedical Engineering, April 1986, Singapore, pp. 32-41.
K.N. Ngan and K.S. Leong, "Data compression for medical image archiving," 3rd
Symposium on Biomedical Engineering, April 1986, Singapore, pp. 346.
K.N. Ngan, K.S. Leong and H. Singh, "Cosine transform coding incorporating
human visual system," SPIE International Conference on Visual Communications
and Image Processing, Cambridge, U.S.A., September 1986, vol. 707, pp. 165-171.
K. Ong, M.S.R. Khan, S.H. Boey, K.N. Ngan and J.S. Daruwalla, "Moire
contourgraphy on a microcomputer-based image processing system for the detectionof scoliosis," Fourth Symposium on Surface Topography and Spinal Deformity,
Quebec, Canada, September 1986, pp. 377-384.
K.N. Ngan, "Robot vision," DECUS Symposium, Singapore, October 1986, pp. 6.16.13.
K.N. Ngan, A.A. Kassim and H. Singh, "A TMS32010-based fast parallel vision
processor (FPVP)," IEEE International Workshop on Industrial Applications of
Machine Vision and Machine Intelligence, Tokyo, Japan, February 1987, pp. 156161.
Lucas Hui and K.N. Ngan, "Predictive classified vector quantization for image
coding," IEEE Region 10 Conference, Seoul, Korea, August 1987, pp. 408-412.
K.N. Ngan and K.C. Seow, "a circular scanning technique to recognise partiallyoccluded objects," International Conference on Automation in Manufacturing,
October 1987, Singapore, pp. 5.15-5.21.
K.N. Ngan and S.B. Kang, "IC wire bond inspection using elliptical model
approximation," IEEE International Conference on Robotics and Automation,
Philadelphia, U.S.A., April 1988, pp. 1850-1851.
K.N. Ngan and S.B. Kang, "Automated inspection of IC bonding wires using Houghtransform," 14th Annual Conference of IEEE Industrial Electronics Society,Singapore, October 1988, pp. 938-942.
K.N. Ngan, K.S. Leong and H. Singh, "A HVS-weighted cosine transform coding
scheme with adaptive quantization," SPIE International Conference on Visual
Communications and Image Processing, Cambridge, U.S.A., November 1988, vol.
1001, pp. 702-708.
K.N. Ngan and H.C. Koh, "Classified hybrid image coder," IEEE International
Conference on Image Processing, Singapore, September 1989, pp. 45-49.
K.N. Ngan and S.B. Kang, "3-D object recognition using fuzzy quaternions with twodegrees of freedom," IEEE International Conference on Image Processing,Singapore, September 1989, pp. 222-226.
K.C. Chua, W.C. Wong and K.N. Ngan, "Enhancement of vector quantized digital
images," IEEE International Conference on Image Processing, Singapore,
September 1989, pp. 529-533.
K.N. Ngan, H.C. Koh and K.Y. Hang, "A Hadamard transform classifier forpredictive classified vector quantization," SPIE International Conference on Visual
Communications and Image Processing, Philadelphia, U.S.A., November 1989, vol.
1199, pp. 541-549.

1525. K.N. Ngan and S.B. Kang, "Fuzzy quaternion approach to object recognition
incorporating Zernike moment invariants," IEEE International Conference on
Pattern Recognition, Atlantic City, U.S.A., June 1990, pp. 288-290.
26. K.N. Ngan, "Image sequence coding using predictive classified vector quantization,"
Second International Symposium on Signal Processing and its Applications, Gold
Coast, Australia, August 1990, pp. 549-552.
27. K.N. Ngan, D.W. Lin and M.L. Liou, "Enhancement of image quality for low bit rate
video coding," Third International Workshop on 64 kbits Coding of Moving Video,
Rotterdam, The Netherlands, September 1990, Paper 1-6.
28. D.W. Lin, M.L. Liou and K.N. Ngan, "Improvement of low bit rate video coding
performance," IEEE Workshop on Visual Signal Processing and Communications,
Hsinchu, Taiwan, June 1991, pp. 1-4.
29. J.S. Yee, K.N. Ngan and H.C. Koh, "Video coding for ISDN applications using
predictive classified vector quantization," IEEE International Symposium on Circuits
and Systems, Singapore, June 1991, pp. 678-681.
30. K.N. Ngan, H.C. Koh and W.C. Wong, "A hybrid image coding scheme using CVQ
and DCT," IEEE International Symposium on Circuits and Systems, Singapore, June
1991, pp. 408-411.
31. H.G. Lim, K.K. Pang, S. Dunstan and K.N. Ngan, “Interworking video services withlayered coding,” IEEE TENCON 1992, Melbourne, Australia, November 1992, pp.
918-922.
32. K.N. Ngan and K.K. Pang, “Layered coder using subband approach,” SPIEInternational Conference on Visual Communications and Image Processing, Boston,
U.S.A., November 1992, vol. 1818, pp. 747-752.
33. (Invited paper) K.N. Ngan, L.H. Kieu, T.K. Tan and K.K. Pang, “Layered coder forinterworking and its cell loss performance,” Asia-Pacific Conference on Circuits andSystems, Sydney, Australia, December 1992, pp. 295-298.
34. L.H. Kieu, T.K. Tan, K.N. Ngan and K.K. Pang, "Layered codec with an effective
error concealment technique," Picture Coding Symposium, Lausanne, Switzerland,
March 1993, Paper 18.23.
35. T. Sikora, T.K. Tan, A.W. Johnson and K.N. Ngan, "A performance comparison of
frequency domain pyramid scalable coding schemes within the MPEG framework,"
Picture Coding Symposium, Lausanne, Switzerland, March 1993, Paper 16.1.
36. K.N. Ngan, J. Arnold, T. Sikora, T.K. Tan and A.W. Johnson, "Frequency scalability
experiments for MPEG-2 standard," IEEE Asia-Pacific Conference on
Communications, Taejon, Korea, August 1993, pp. 298-301.
37. K.N. Ngan and S.H. Tan, "Adaptive quantization based on perceptual criteria," AsiaPacific Conference on Communications, Taejon, Korea, August 1993, pp. 654-658.
38. W.L. Chooi and K.N. Ngan, "Motion classified three-dimensional subband VQ
coder," IEEE Workshop on Visual Signal Processing and Communications,
Melbourne, Australia, September 1993, pp. 13-16.
39. K.N. Ngan, W.L. Chooi and K.K. Pang, "Motion analysis in 3D subband coder,"SPIE International Conference on Visual Communications and Image Processing,
Boston, U.S.A., November 1993, vol. 2094, pp. 568-575.
40. L.H. Kieu and K. N. Ngan, "Layered video coder with self-concealed capability
using frequency scanning technique," SPIE International Conference on Visual
Communications and Image Processing, Boston, U.S.A., November 1993, vol. 2094,
pp. 1321-1330.

16

41. W.L. Chooi and K.N. Ngan, "3D subband coder for very low bit rates,” IEEE
International Conference on Acoustics, Speech and Signal Processing, Adelaide,
Australia, April 1994, vol. 5, pp. 405-408.
42. Y.S. Tan and K.N. Ngan, “Two layer scalable coder based on MPEG2 with 1616
blocksize,” Picture Coding Symposium, Sacramento, U.S.A., September 1994, pp.
71-74.
43. S.H. Tan and K.N. Ngan, “Video coding with perceptually classified adaptive
quantization,” Picture Coding Symposium, Sacramento, U.S.A., September 1994, pp.
190-193.
44. L.H. Kieu and K.N. Ngan, “Cell-loss concealment for video transmission over ATM
networks,” Picture Coding Symposium, Sacramento, U.S.A., September 1994, pp.
30-33.
45. W.L. Chooi, K.K. Pang and K. N. K.N. Ngan, “Hybrid 3D subband-predictive VQ
coder for VLBR applications,” IEEE Singapore International Conference on
Communication Systems, Singapore, November 1994, pp. 1112-1116.
46. K.N. Ngan and W.L. Chooi, “3D subband VLBR video coding scheme,” IEEE
Singapore International Conference on Communication Systems, Singapore,
November 1994, pp. 1130-1134.
47. Y.S. Tan and K.N. Ngan, “A flexible three layer frequency/SNR-scalable video
coder,” Australian Telecommunication Networks and Applications Conference,
Melbourne, Australia, December 1994, pp. 119-124.
48. S.H. Tan, K.K. Pang and K.N. Ngan, “Adaptive quantization using perceptualclassification,” Australian Telecommunication Networks and Applications
Conference, Melbourne, Australia, December 1994, pp. 135-140.
49. K.N. Ngan and A. Millin, "Some results of ITU-T Test Model TMN1," SPIEInternational Conference on Visual Communications and Image Processing, Taipei,
Taiwan, May 1995, pp. 1304-1311.
50. K.N. Ngan and Douglas Chai, "Enhancement of image quality in VLBR coding,"
International Workshop on Coding Techniques for Very Low Bit Rate Video, Tokyo,
Japan, November 1995, pp. L3.1-4.
51. R.L. Rudianto and K.N. Ngan, “Automatic 3D WFM model fitting to frontal facial
image in model-based video coding,” Picture Coding Symposium, Melbourne,
Australia, March 1996, pp. 585-588.
52. H.J. Kim, M. Chan and K.N. Ngan, “Region-based segmentation and motion
estimation in object-oriented analysis-synthesis coding,” Picture Coding Symposium,
Melbourne, Australia, March 1996, pp. 589-594.
53. (Invited paper) R.L. Rudianto and K.N. Ngan, “Automatic face location detection
and tracking for model-based video coding,” Third International Conference on
Signal Processing, Beijing, China, October 1996, pp. 1098-1101.
54. D. Chai and K.N. Ngan, “Automatic face location for videophone images,” IEEETENCON 1996, Perth, Australia, November 1996, pp. 137-140.
55. T. Meier, K.N. Ngan and G.A. Crebbin, “A region-based algorithm for enhancementof images degraded by blocking effects,” IEEE TENCON 1996, Perth, Australia,
November 1996, pp. 405-408.
56. M.H. Lee, K.N. Ngan and G.A. Crebbin, “Scalable coding of subband images withquadtree-based classified vector quantization,” IEEE TENCON 1996, Perth,
Australia, November 1996, pp. 788-792.
57. H.J. Kim and K.N. Ngan, “2-dimensional motion analysis in object-oriented coding,”
IEEE TENCON 1996, Perth, Australia, November 1996, pp. 945-948.

17

58.

M.H. Lee, K.N. Ngan and G.A. Crebbin, “Rate-distortion analysis for vector
quantization based on a variable block-size classification model,” SPIE International
Conference on Visual Communications and Image Processing, San Jose, U.S.A.,
February 1997, vol. 3024, pp. 834-842.
59. C.W. Yap, R. Liyanapathirana and K.N. Ngan, “An error protection scheme for thetransmission of H.263 coded video over mobile radio channels,” SPIE International
Conference on Visual Communications and Image Processing, San Jose, U.S.A.,
February 1997, vol. 3024, pp. 1241-1249.
60. (Invited paper) D. Chai and K.N. Ngan, “Foreground/Background image coding
technique,” IEEE International Symposium on Circuits and Systems, Hong Kong,
June 1997, pp. 1448-1451.
61. M. Lee and K.N. Ngan, “Very low bit rate video coding with wavelet transform andquadtree-based vector quantization,” International Workshop on Coding
Techniques for Very Low Bit Rate Video, Linkoping, Sweden, July 1997, pp. 3336.
62. D. Chai and K.N. Ngan, “Extraction of VOP from videophone scene,” International
Workshop on Coding Techniques for Very Low Bit Rate Video, Linkoping,
Sweden, July 1997, pp. 45-48.
63. C.W. Yap, R. Liyanapathirana and K.N. Ngan, “Error resilient combined sourcechannel coder for mobile video,” Picture Coding Symposium, Berlin, Germany,
September 1997, pp. 413-418.
64. T. Meier, K.N. Ngan and G.A. Crebbin, “A robust Markovian segmentation based onhighest confidence first (HCF),” IEEE International Conference on Image
Processing, Santa Barbara, U.S.A., October 1997, pp. 216-219.
65. D. Chai and K.N. Ngan, “Coding of area of interest with better quality”, IEEE
International Workshop on Intelligent Signal Processing and Communication
Systems, Kuala Lumpur, Malaysia, November 1997, pp. S20.3.1-S20.3.10.
66. K.T. Tan, R. Liyanapathirana and K.N. Ngan, “Performance analysis of a family ofcomplex orthogonal sequences for asynchronous BPSK DS-CDMAcommunication systems,” 3rd Asia-Pacific Conference on Communications,Sydney, Australia, December 1997, pp. 1606-1610.
67. T. Meier and K.N. Ngan, “Automatic video sequence segmentation using object
tracking,” IEEE TENCON 1997, Brisbane, Australia, December 1997, pp. 283286.
68. H. Kim and K.N. Ngan, “A approach in the object-oriented coding at low bit rates,”IEEE TENCON 1997, Brisbane, Australia, December 1997, pp. 361-364.
69. T. Meier, K.N. Ngan and G.A. Crebbin, “Reduction of coding artifacts at low bit
rates,” SPIE International Conference on Visual Communications and Image
Processing, San Jose, U.S.A., February 1998, vol. 3309, pp. 241-251.
70. D. Chai and K.N. Ngan, “Foreground/background video coding using H.261,” SPIEInternational Conference on Visual Communications and Image Processing, San
Jose, U.S.A., February 1998, vol. 3309, pp. 434-446.
71. D. Chai and K.N. Ngan, “Locating facial region of a head-and-shoulder color image”
Third International Conference on Automatic Face and Gesture Recognition,(FG’98), Nara, Japan, April 1998, pp. 124-129.
72. K.K. Lau, M.H. Lee, K.N. Ngan and G. Rogers, "Priority encoding of video dataover ATM", IEEE International Conference on ATM, (ICATM'98), Colmar,
France, June 1998, pp. 307-310.

18

73. H. Fan and K.N. Ngan, "A mesh-based disparity map coding for stereoscopic video
sequence", Tenth IEEE Workshop on Image and Multidimensional Signal
Processing (IMDSP'98), Alpbach, Austria, July 1998, pp. 123-126.
74. K.T. Tan, R. Liyanapathirana and K.N. Ngan, "Error probability for sequency
majority multiplexing in frequency nonselective, slowly fading channels - Part I:
Mathematical formulation", IEEE Fifth International Symposium on Spread
Spectrum Techniques and Applications (ISSSTA'98), Sun City, South Africa,
September 1998, pp. 411-414.
75. K.T. Tan, R. Liyanapathirana and K.N. Ngan, "Error probability for sequency
majority multiplexing in frequency nonselective, slowly fading channels - Part I:
Numerical analysis", IEEE Fifth International Symposium on Spread Spectrum
Techniques and Applications (ISSSTA'98), Sun City, South Africa, September
1998, pp. 415-419.
76. W.J. Heng, K.N. Ngan and M.H. Lee, "Validity of scene cut detection using bit rate
information of VBR video", Symposium on Image, Speech, Signal Processing andRobotics (ISSPR'98), Hong Kong, September 1998, pp. II.133-II.138.
77. T. Meier and K.N. Ngan, "Video object plane segmentation using a morphologicalmotion filter and Hausdorff object tracking", IEEE International Conference on
Image Processing (ICIP'98), Chicago, U.S.A., October 1998, Paper TP5.05.
78. T. Meier and K.N. Ngan, "Video object plane extraction for content-based
functionalities in MPEG-4", International Workshop on Very Low Bitrate Video
Coding (VLBV’98), Urbana, Illinois, U.S.A., October 1998, pp. 121-124.
79. H. Kim and K.N. Ngan, "Very low bit-rate video coding using object-based motion
estimation and hierarchical shape estimation", International Workshop on Very
Low Bitrate Video Coding (VLBV’98), Urbana, Illinois, U.S.A., October 1998, pp.
185-188.
80. M.H. Lee, K.K. Lau, and K.N. Ngan, “Error-Resilient Wavelet Video over ATM,”International Workshop on Very Low Bitrate Video Coding (VLBV’98), Urbana,
Illinois, U.S.A., October 1998, pp. 204-207.
81. W.J. Heng and K.N. Ngan, "Performance of chromatic barycenter with MPEG
elements for low-level shot boundary detection and its improvements", IEEE
International Workshop on Intelligent Signal Processing and Communication
Systems, Melbourne, Australia, November 1998, pp. 272-276.
82. C.W. Yap, K.T. Tan and K.N. Ngan, "Error resilient video over synchronous DSCDMA channels", IEEE International Workshop on Intelligent Signal Processing
and Communication Systems, Melbourne, Australia, November 1998, pp. 348-353.
83. D. Chai and K.N. Ngan, "Content-based bit allocation and rate control for classical
MC-DCT video coding systems", IEEE International Workshop on Intelligent
Signal Processing and Communication Systems, Melbourne, Australia, November
1998, pp. 601-605.
84. A. Mertins and K.N. Ngan, "Optimized shape adaptive wavelets with reduced
computational cost", IEEE International Workshop on Intelligent Signal
Processing and Communication Systems, Melbourne, Australia, November 1998,
pp. 616-620.
85. K.K. Lau, M.H. Lee and K.N. Ngan, "Priority protection of wavelet encoded video
over ATM", Globecom98, Sydney, Australia, November 1998, Paper 50.3.
86. T. Meier and K.N. Ngan, “Extraction of moving objects for content-based videocoding,” SPIE International Conference on Visual Communications and Image
Processing, San Jose, U.S.A., January 1999, vol. 3653, pp. 1178-1189.

19

87. W.J. Heng and K.N. Ngan, "The implementation of object-based shot boundary
detection via edge tracing and tracking," IEEE International Symposium on
Circuits and Systems (ISCAS'99), Orlando, Florida, U.S.A., June 1999, pp. IV 439IV 442.
88. (Invited paper) C.W. Yap and K.N. Ngan, "Unequal error protection of images overRayleigh fading channels," Fifth International Symposium on Signal Processing
and its Applications (ISSPA'99), Brisbane, Australia, August 1999, pp. 19-22.
89. K.T. Tan and K.N. Ngan, "Concatenated sequency majority multiplexing DS-SSMA
for synchronous digital communication indoor wireless narrowband channels,"
Fifth International Symposium on Signal Processing and its Applications(ISSPA'99), Brisbane, Australia, August 1999, pp. 415-418.
90. W.J. Heng and K.N. Ngan, "Post shot boundary detection: Flashlight scene
determination," Fifth International Symposium on Signal Processing and its
Applications (ISSPA'99), Brisbane, Australia, August 1999, pp. 447-450.
91. D. Chai and K.N. Ngan, "A performance study on MPEG-4 coder," Fifth
International Symposium on Signal Processing and its Applications (ISSPA'99),
Brisbane, Australia, August 1999, pp. 821-824.
92. W.J. Heng and K.N. Ngan, "Integrated shot boundary detection using object-based
technique," IEEE International Conference on Image Processing (ICIP'99), Kobe,
Japan, U.S.A., October 1999, Paper W27AP28.
93. T. Meier and K.N. Ngan, "A flexible Bayesian framework for image segmentation,"
IEEE International Conference on Image Processing (ICIP'99), Kobe, Japan,
U.S.A., October 1999, Paper W27AP14.
94. K.T. Tan and K.N. Ngan, "Codeword sets for sequency majority multiplexing
communication systems," International Conference on Information,
Communications and Signal Processing (ICICS'99), Singapore, December 1999,
Paper 1A1.8.
95. W.J. Heng and K.N. Ngan, "Transition type-independent boundary refinement
technique for post shot boundary detection," International Conference on
Information, Communications and Signal Processing (ICICS'99), Singapore,
December 1999, Paper 1B1.7.
96. W.J. Heng and K.N. Ngan, "Analysis and performance of object-based detection
using edge object tracking," 2000 International Workshop on Multimedia Data
Storage, Retrieval, Integration and Applications, Hong Kong, January 2000, pp.
236-242.
97. T. Meier and K.N. Ngan, “Improved single VOP rate control for constant bit-rate
applications using MPEG-4,” SPIE International Conference on Visual
Communications and Image Processing, Perth, Australia, June 2000, vol. 4067, pp.
64-75.
98. W.J. Heng and K.N. Ngan, "Soft transition analysis techniques for video
sequences," IEEE TENCON 2000, Kuala Lumpur, Malaysia, September 2000, pp.
I-69-I-72.
99. K.T. Tan and K.N. Ngan, "Sequency, frequency, code or time," IEEE TENCON
2000, Kuala Lumpur, Malaysia, September 2000 pp. I-470-I-475.
100. D. Chai, K.N. Ngan and A. Bouzerdoum, “Foreground/Background bit Allocation
for region-of-interest coding,” IEEE International Conference on Image
Processing (ICIP'00), Vancouver, Canada, September 2000, pp. II 923-II 926.
101. W.J. Heng and K.N. Ngan, “Long transition analysis for post shot boundary
detection,” SPIE International Conference on Visual Communications and Image
Processing, San Jose, U.S.A., January 2001, vol. 4310, pp. 486-496.

20102. C.M. Lau, W.K. Cham, H.T Tsui and K.N. Ngan, “An energy function for facial
feature extraction,” 2000 International Symposium on Intelligent Multimedia,
Video and Speech Processing, Hong Kong, May 2001, pp. 348-351.
103. W.J. Heng and K.N. Ngan, "Shot classification for hard transition," IEEE
International Symposium on Circuits and Systems (ISCAS'01), Sydney, Australia,
May 2001, pp. II 321-II 324.
104. W.J. Heng and K.N. Ngan, “Examination of features used for reference indicator
construction in shot boundary refinement,” Sixth International Symposium on
Signal Processing and its Applications (ISSPA'01), Kuala Lumpur, Malaysia,
August 2001, ISBN 0-7803-6704-9, paper 54.
105. W.J. Heng and K.N. Ngan, “Enhanced shot boundary refinement for post-shotboundary detection” IEEE TENCON 2001, Singapore, August 2001, pp. 138-142.
106. C.M. Lau, W.K. Cham, H.T Tsui and K.N. Ngan, “Facial feature extraction for
constructing 3D human face model,” International Conference on Information,
Communications and Signal Processing (ICICS'01), Singapore, October 2001,
paper 1D3.2.
107. K.K. Lee, W.K. Cham, K.N. Ngan and J.Z. Liu, “DC coefficient restoration on
foreground/background video coding,” International Conference on Information,
Communications and Signal Processing (ICICS'01), Singapore, October 2001,
paper 3D2.2.
108. C. Zhao and K.N. Ngan, “Error sensitivity analysis for macroblocks’ bit stream,”IEEE TENCON 2002, Beijing, China, October 2002, pp. 750-753.
109. C. Zhao and K.N. Ngan, “Error sensitivity analysis for macroblock-based video
coder,” Second International Symposium on Communications and Information
Theory (ISCITS’02), Bangkok, Thailand, October 2002, pp. 202-205.
110. W. Yang and K.N. Ngan, “Object-based disparity estimation for stereoscopic
images,” Seventh International Conference on Control, Automation, Robotics andVision (ICARCV’02), Singapore, December 2002, pp. 1105-1109.
111. Z. Chen and K.N. Ngan, “Improved single video object rate control for MPEG-4,”
IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP’03), Hong Kong, China, April 2003, pp. III 85-III 88.
112. N. Habili and K.N. Ngan, “Automatic multi-cue VOP extraction for MPEG-4,”
Picture Coding Symposium, Saint-Malo, France, April 2003, pp. 365-370.
113. W. Yang, K.N. Ngan, J. Lim and K. Sohn, “Edge-preserving regularization of
disparity and motion fields,” 4th EURASIP Conference on Video/Image Processingand Multimedia Communications, Zagreb, Croatia, July 2003, pp. 71-76.
114. Z. Chen, K.N. Ngan and C. Zhao, “Improved rate control for MPEG-4 video
transport over wireless channel,” SPIE International Conference on Visual
Communications and Image Processing, Laguno, Switzerland, July 2003, vol.
5150, pp. 210-221.
115. W. Wei and K.N. Ngan, “Automatic video object segmentation for MPEG-4,”
SPIE International Conference on Visual Communications and Image Processing,
Laguno, Switzerland, July 2003, vol. 5150, pp. 9-19.
116. Z. Chen and K.N. Ngan, “Rate-distortion Modeling for Binary Shape in MPEG4,” IEEE Pacific Rim Conference on Communications, Computers and Signal
processing, Victoria, British Columbia, Canada, August 2003, pp. 77-80.
117. W. Yang, K.N. Ngan and K. Sohn, “Joint disparity-motion regularization forstereoscopic video coding,” IEEE International Symposium on Intelligent Signal
Processing and Communication Systems, Awaji Island, Japan, December 2003, pp.
629-634.

21

118. Z. Chen and K.N. Ngan, “Object-based rate control for arbitrarily shaped video
object coding,” IEEE International Symposium on Circuits and Systems,
Vancouver, British Columbia, Canada, May 2004, pp. III 973-III 976.
119. J. Li and K.N. Ngan, “A VLC/FLC data partitioning scheme for MPEG-4,” IEEE
International Symposium on Circuits and Systems, Vancouver, British Columbia,
Canada, May 2004, pp. III 857-III 860.
120. W. Yang and K.N. Ngan, “MPEG-4 based stereoscopic video sequences encoder,”IEEE International Conference on Acoustics, Speech, and Signal Processing,Montreal, Quebec, Canada, May 2004, pp. III 741-III 744.
121. W. Wei, K.N. Ngan and N. Habili, “Multiple-feature clustering algorithm for
automatic video object segmentation,” IEEE International Conference on
Acoustics, Speech, and Signal Processing, Montreal, Quebec, Canada, May 2004,
pp. III 625-III 628.
122. J. Han, K.N. Ngan, M. Li and H. Zhang, “Learning semantic concepts fromaccumulated user feedback log for image retrieval,” IEEE International
Conference on Multimedia and Expo, Taipei, Taiwan, June 2004, Paper TP4-1, pp.
1-4.
123. R. J. Treasure, V. Sreeram and K. N. Ngan, “Balanced identification and model
reduction for 2-D systems based on impulse response data,” 5th Asian Control
Conference, Melbourne, Australia, July 2004, pp. 2058-2062.
124. W. Yang, K.N. Ngan and J. Cai, “MPEG-4 based stereoscopic and multiview
video coding,” International Symposium on Intelligent Multimedia, Video andSpeech Processing, Hong Kong, October 2004, pp. 61-64.
125. W. Wei and K.N. Ngan, “Integration of motion and image features for automatic
video object segmentation,” IEEE International Conference on Image Processing,Singapore, October 2004, pp. 361-364.
126. Z. Chen and K.N. Ngan, “Optimal bit allocation for MPEG-4 multiple video
objects,” IEEE International Conference on Image Processing, Singapore, October
2004, pp. 761-764.
127. J. Han, K.N. Ngan, M. Li and H. Zhang, “Towards unsupervised attention object
extraction by integrating visual attention and object growing,” IEEE International
Conference on Image Processing, Singapore, October 2004, pp. 941-944.
128. J. Han and K.N. Ngan “Automatic segmentation of objects of interest in video: A
unified framework,” IEEE International Symposium on Intelligent Signal
Processing and Communication Systems, Seoul, Korea, November 2004, pp. 375378.
129. W. Yang, K.N. Ngan and J. Cai, “Coding of stereo/multiview sequences based on
MPEG-4,” Asia-Pacific Conference on Multimedia, Tokyo, Japan, November
2004, vol. 3, pp. 167-174.
130. R. J. Treasure, A. Ghafoor, V. Sreeram and K. N. Ngan, “Frequency weighted
identification and model reduction of 2-D separable denominator systems,” 6thInternational Conference on Optimization Techniques and Applications, Ballarat,
Australia, December 2004, pp. 1-13.
131. W. Yang, F. Wu, Y. Lu, J. Cai and K.N. Ngan “Scalable multi-view video coding
using wavelet,” IEEE International Symposium on Circuits and Systems, Kobe,
Japan, May 2005, pp. 6078-6081.
132. (Invited Paper) J. Li and K.N. Ngan, “A new macroblock reordering strategy forrobust wireless video transmission,” International Symposium on Multimedia overWireless, Maui, Hawaii, U.S.A., June 2005, paper TM2.4.

22133. Z. Chen and K.N. Ngan, “A unified framework for optimal multiple video object
bit allocation,” SPIE International Conference on Visual Communications andImage Processing, Beijing, China, July 2005, vol. 5960, pp. 641-652.
134. Y. Liu and K.N. Ngan, “Embedded image coding based on context classificationand quadtree ordering in wavelet packet domain,” SPIE International Conference
on Visual Communications and Image Processing, Beijing, China, July 2005, vol.
5960, pp. 1723-1731.
135. Z. Chen and K.N. Ngan, “MINVAR: A local optimization criterion for
rate-distortion tradeoff in real time video coding,” SPIE Optics East 2005:
International Conference on Multimedia Systems and Applications VIII (IT106),
Boston, U.S.A., October 2005, pp. 9-19.
136. Z. Chen and K.N. Ngan, “A unified framework of unsupervised subjective
optimized bit allocation for multiple video coding,” SPIE Optics East 2005:
International Conference on Multimedia Systems and Applications VIII (IT106),
Boston, U.S.A., October 2005, pp. 20-31.
137. W. Wei and K.N. Ngan, “Disparity estimation with edge-based matching andinterpolation,” IEEE International Symposium on Intelligent Signal Processing
and Communications Systems, Hong Kong SAR, China, December 2005, pp. 153156.
138. Z. Chen and K.N. Ngan, “Rate-distortion analysis for multiscale binary shapecoding,” IEEE International Symposium on Intelligent Signal Processing andCommunications Systems, Hong Kong SAR, China, December 2005, pp. 801-804.
139. Y. Liu and K.N. Ngan, “Anisotropic double cross search algorithm using
multiresolution-spatio-temporal context for fast lossy in-band motion estimation”,
Picture Coding Symposium, Beijing, China, 24-26 April 2006, paper O5-5.
140. H. Li and K.N. Ngan, “Face segmentation in head-and-shoulder video sequences
based on facial saliency map”, IEEE International Symposium on Circuits andSystems, Island of Kos, Greece, May 2006, pp. 2681-2684.
141. Z. Chen and K.N. Ngan, “Towards rate-distortion tradeoff in real-time color videocoding”, IEEE International Symposium on Circuits and Systems, Island of Kos,
Greece, May 2006, pp. 3502-3505.
142. Y. Liu and K.N. Ngan, “Fast lossless multi-resolution motion estimation forscalable wavelet video coding”, IEEE International Symposium on Circuits andSystems, Island of Kos, Greece, May 2006, pp. 3966-3969.
143. (Invited Paper) H. Li and K.N. Ngan, “Fast And Efficient Method for Block Edge
Classification”, International Symposium on Multimedia over Wireless, Vancouver,
Canada, July 2006, pp. 67-72.
144. H. Li and K.N. Ngan, “Unsupervised segmentation of defocused video based on
matting model”, IEEE International Conference on Image Processing, Atlanta,
U.S.A., October 2006, pp. 1825-1828.
145. J. Dong and K.N. Ngan, “16×16 Integer Cosine Transform for HD Video Coding,”
in Advances in Multimedia Information Processing - PCM 2006, Lecture Notes in
Computer Science, Springer Berlin/Heidelberg, ISBN 978-3-540-48766-1,
November 2006, vol. 4261, pp. 114-121.
146. Z. Wei and K.N. Ngan, “A Fast Macroblock Mode Decision Algorithm for H.264”,
IEEE Asia Pacific Conference on Circuits and Systems, Singapore, 4-7 December
2006, pp. 773-776.
147. Z. Chen and K.N. Ngan, “A Novel Statistical Learning-Based Rate Distortion
Analysis Approach for Multiscale Binary Shape Coding”, SPIE International

23

Conference on Visual Communications and Image Processing, San Jose, U.S.A.,
January 2007, vol. 6508, paper 65081J.
148. K.L. Tang and K.N. Ngan, “Enhanced SAD Reuse Fast Motion Estimation”, SPIEInternational Conference on Visual Communications and Image Processing, San
Jose, U.S.A., January 2007, vol. 6508, paper 65081M.
149. Z. Wei and K.N. Ngan, “A Fast Rate-Distortion Optimization Algorithm for
H.264/AVC”, IEEE International Conference on Acoustics, Speech and Signal
Processing, Honolulu, U.S.A., 15-20 April, 2007, pp. I1157-I1160.
150. J. Dong and K.N. Ngan, “A Universal Approach to Developing Fast Algorithm for
Simplified Order-16 ICT”, IEEE International Symposium on Circuits and Systems,
New Orleans, U.S.A., 27-30 May, 2007, pp. 281-284.
151. Y. Liu, F. Wu and K.N. Ngan, “3D Object-based Scalable Wavelet Video Codingwith Boundary Effects Suppression”, IEEE International Symposium on Circuits
and Systems, New Orleans, U.S.A., 27-30 May, 2007, pp. 1755-1758.
152. H. Shu and K.N. Ngan, “Quality Enhancement in H.264 Transform Domain
Downsizing”, IEEE International Symposium on Circuits and Systems, New
Orleans, U.S.A., 27-30 May, 2007, pp. 2003-2006.
153. Z. Wei and K.N. Ngan, “An Efficient Intra Mode Selection Algorithm for H.264
Based on Fast Edge Classification”, IEEE International Symposium on Circuits
and Systems, New Orleans, U.S.A., 27-30 May, 2007, pp. 3630-3633.
154. H. Shu and K.N. Ngan, “Pre- and Post-shift Filtering for Removing Blocking
Effects in Downsizing Transcoding”, IEEE International Conference on
Multimedia and Expo, Beijing, China, 5-7 May, 2007, pp. 416-419.
155. K.L. Tang and K.N. Ngan, “Enhancement Techniques for Intra Block Matching”,
IEEE International Conference on Multimedia and Expo, Beijing, China, 5-7 May,
2007, pp. 420-423.
156. W. Yang and K.N. Ngan, “Unsupervised Multiple Object Segmentation ofMultiview Images”, Advanced Concepts for Intelligent Vision Systems – ACIVS
2007, Lecture Notes in Computer Science, Springer Berlin/Heidelberg, ISBN 9783-540-74606-5, August 2007, vol. 4678, pp. 178-189.
157. Y. Liu and K.N. Ngan, “Weighted Adaptive Lifting-Based Wavelet Transform”,
IEEE International Conference on Image Processing, San Antonio, U.S.A., 16-19
September, 2007, pp. III189-III192.
158. D. Zhang, Z. Chen and K.N. Ngan, “Two-Pass Rate Control for Constant Quality
H.264/Avc High Definition Video Coding”, Picture Coding Symposium, Lisbon,
Portugal, 7-9 November, 2007, paper 1106.
159. X. Jin, K.N. Ngan, G. Zhu, “Combined Inter-Intra Prediction for High Definition
Video Coding”, Picture Coding Symposium, Lisbon, Portugal, 7-9 November,
2007, paper 1149.
160. Q. Liu, C. Cai, K.N. Ngan and H. Li, "Camshift Based Real-Time Multiple Faces
Match Tracking", IEEE International Symposium on Intelligent Signal Processing
and Communication Systems, Xiamen, China, 28 November-1 December 2007, pp.
726-729.
161. C. Cui, W. Yang, and K.N. Ngan, "External Calibration of Multi-camera System
Based on Pair-wise Estimation", in Advances in Image and Video Technology PSIVT 2007, Lecture Notes in Computer Science, Springer Berlin/Heidelberg,
ISBN 978-3-540-77128-9, December 2007, vol. 4872, pp. 497-509.
162. Y. Liu, K.N. Ngan and F. Wu, “3-D Direction Aligned Wavelet Transform for
Scalable Video Coding”, IEEE International Symposium on Circuits and Systems,
Seattle, U.S.A., 18-21 May, 2008, pp. 1396-1399.

24

163. D. Zhang, Z. Chen and K.N. Ngan, “Constant Distortion Rate Control for
H.264/AVC High Definition Videos with Scene Change”, IEEE International
Symposium on Circuits and Systems, Seattle, U.S.A., 18-21 May, 2008, pp. 34983501.
164. (Invited Paper) X. Jin, S. Li and K.N. Ngan, “AVS Video Standard
Implementation for SoC Design”, IEEE International Conference on Neural
Networks and Signal Processing, Zhenjiang, China, 7-11 June, 2008, pp. 660-665.
165. Z. Wei and K.N. Ngan, “Spatial Just Noticeable Distortion Profile for Image in
DCT Domain”, IEEE International Conference on Multimedia and Expo,
Hannover, Germany, 23-26 June, 2008, pp. 925-928.
166. J. Dong And K.N. Ngan, “An Adaptive and Parallel Scheme for HD Video DeInterlacing”, IEEE International Conference on Multimedia and Expo, Hannover,Germany, 23-26 June, 2008, pp. 1137-1140.
167. Q. Zhang, K.N. Ngan and W. Yang, "Automatic Segmentation for Semantic
Objects from Multiview Images", International Conference on Visual Information
Engineering, Xian, China, 29 July-1 August, 2008, pp. 554-559.
168. Z. Wei and K.N. Ngan, “A Temporal Just-Noticeable Distortion Profile for Videoin DCT Domain”, IEEE International Conference on Image Processing, San Diego,
U.S.A., 12-15 October, 2008, pp. 1336-1339.
169. J. Li and K.N. Ngan, “Adaptive Partition Size Temporal Error Concealment for
H.264”, IEEE Asia Pacific Conference on Circuits and Systems, Macau, China, 30
November-3 December, 2008, pp. 1739-1742.
170. J. Li and K.N. Ngan, "Joint Temporal Error Control for H.264", IEEE
International Symposium on Intelligent Signal Processing and Communication
Systems, Bangkok, Thailand, 8-11 February, 2009, pp. 154-158.
171. C.M. Mak and K.N. Ngan, “Enhancing Compression Rate by Just-Noticeable
Distortion Model for H.264/AVC”, IEEE International Symposium on Circuits andSystems, Taipei, Taiwan, May 2009, pp. 609-612.
172. Z. Wei and K.N. Ngan, “The Perceptually Transparent Coding for Image”, IEEE
International Symposium on Circuits and Systems, Taipei, Taiwan, May 2009, pp.
1621-1624.
173. Y. Liu and K.N. Ngan, “Fully Scalable Multiview Wavelet Video Coding”, IEEE
International Symposium on Circuits and Systems, Taipei, Taiwan, May 2009, pp.
2581-2584.
174. X. Jin, S. Goto and K.N. Ngan, “Optical Flow Based DC Surface Compensation
for Artifacts Reduction”, Picture Coding Symposium, Chicago, U.S.A., May 2009,
pp. 1-4.
175. X. Jin, S. Goto and K.N. Ngan, “Quadratic Composite Modeling of Optical Flow
for Artifacts Reduction”, IEEE International Conference on Multimedia & Expo,
New York, U.S.A., June-July 2009, pp. 233-236.
176. C. Cui and K.N. Ngan, "Automatic Scale Selection for Corners and Junctions",
IEEE International Conference on Image Processing, Cairo, Egypt, November
2009, pp. 989-992.
177. J. Dong and K.N. Ngan, "Parametric Interpolation Filter for Motion CompensatedPrediction", IEEE International Conference on Image Processing, Cairo, Egypt,
November 2009, pp. 1021-1024.
178. H. Li and K.N. Ngan, "Hybrid Cascade of Active/Lazy Boosting", IEEE
International Symposium on Intelligent Signal Processing and Communication
Systems, Kanazawa, Japan, December 2009, pp. 21-24.

25

179. Q. Liu and K.N. Ngan, "Arbitrarily shaped Object coding based on H.264/AVC",IEEE International Symposium on Intelligent Signal Processing andCommunication Systems, Kanazawa, Japan, December 2009, pp. 343-346.
180. S. Li and K.N. Ngan, “Influence of the Smooth Region on the Structural Similarity
Index”, 10th IEEE Pacific-Rim Conference on Multimedia, Bangkok, Thailand,
December 2009, pp. 836-846.
181. L. Ma and K.N. Ngan, “Adaptive Block-Size Transform Based Just-Noticeable
Difference Profile for Images”, 10th IEEE Pacific-Rim Conference on Multimedia,
Bangkok, Thailand, December 2009, pp. 1208-1218.
182. Q. Zhang and K.N. Ngan, "Multiple Objects Segmentation from Multi-View
Sequence", 7th IASTED International Conference on Signal Processing, Pattern
Recognition and Applications, Innsbruck, Austria, February 2010, pp. 260-264.
183. H. Li, G. Liu and K.N. Ngan, “Learn to Segment Attention Object from Low DoF
Image”, IEEE International Symposium on Circuits and Systems, Paris, France,
May-June 2010, pp. 2864-2867.
184. S. Li and K.N. Ngan, “Subtractive Impairment, Additive Impairment and Image
Visual Quality”, IEEE International Symposium on Circuits and Systems, Paris,
France, May-June 2010, pp. 3373-3376.
185. L. Ma and K.N. Ngan, “Adaptive Block-Size Transform Based Just-Noticeable
Difference Profile for Videos”, IEEE International Symposium on Circuits andSystems, Paris, France, May-June 2010, pp. 4213-4216.
186. (Invited Paper) F. Zhang, S. Li, L. Ma and K.N. Ngan, “Limitation and challengesof Image Quality Measurement”, International Conference on Visual
Communications and Image Processing, Huang Shan, Anhui, China, July 2010,
vol. 7744, pp. 774402.1-774402.8.
187. Z. Chen, W. Lin and K.N. Ngan, “Perceptual Video Coding: Challenges andApproaches”, International Conference on Multimedia and Expo, Singapore, July
2010, pp. 784 - 789.
188. C. Cui and K.N. Ngan, "A Novel Geometric Filter for Affine Invariant Features",IEEE International Conference on Image Processing, Hong Kong, China,
September 2010, pp. 865-868.
189. L. Ma, F. Zhang, S. Li and K.N. Ngan, "Video Quality Assessment Based on
Adaptive Block-Size Transform Just-Noticeable Difference", IEEE International
Conference on Image Processing, Hong Kong, China, September 2010, pp. 25012504.
190. Q. Zhang and K.N. Ngan, “Dense Stereo Matching from Separated Views ofWide-baseline Images”, Advanced Concepts for Intelligent Vision Systems,
Sydney, Australia, December 2010, pp. 255-266.
191. S. Li, L. Ma, F. Zhang and K.N. Ngan, “Temporal Inconsistency Measure forVideo Quality Assessment”, Picture Coding Symposium, Nagoya, Japan,
December 2010, pp. 590-593.
192. Q. Liu and K.N. Ngan, “Self-adaptive Initialization of Level Set for Human Body
Segmentation”, IEEE International Symposium on Intelligent Signal Processing
and Communication Systems, Chengdu, China, December 2010, pp. 305-308.
193. L. Ma, S. Li and K.N. Ngan, “Perceptual Image Compression via Adaptive BlockBased Super-Resolution Directed Down-Sampling”, IEEE International
Symposium on Circuits and Systems, Rio de Janeiro, Brazil, May 2011, pp. 97-100.
194. J. Dong and K.N. Ngan, “Adaptive Pre-interpolation Filter for MotionCompensated Prediction”, IEEE International Symposium on Circuits and Systems,
Rio de Janeiro, Brazil, May 2011, pp. 2617-2620.

26

195. L. Ma, S. Li and K.N. Ngan, "Motion Trajectory Based Visual Saliency for Video
Quality Assessment", IEEE International Conference on Image Processing,
Brussels, Belgium, September 2011, pp. 237-240.
196. S. Li, L. Ma and K.N. Ngan, "Video Quality Assessment by Decoupling Additive
Impairments and Detail Losses", Third International Workshop on Quality ofMultimedia Experience, Mechelen, Belgium, September 2011, pp. 90-95.
197. L. Ma, S. Li and K.N. Ngan, “Reduced-Reference Image Quality Assessment via
Intra- and Inter-Subband Statistical Characteristics in Reorganized DCT Domain”,
Asia Pacific Signal and Information Processing Association (APSIPA) Annual
Summit and Conference 2011, Xi’an, China, October 2011, paper 178.
198. Q. Zhang and K.N. Ngan, “Object Segmentation from Sparse Views of WideBaseline Images”, IEEE International Symposium on Intelligent Signal Processing
and Communication Systems, Chiangmai, Thailand, December 2011, PID21.
199. Q. Zhang, C. Cui, K.N. Ngan and, Y. Liu “Depth Estimation and View Synthesis
for Narrow-Baseline Video”, IEEE International Symposium on Circuits andSystems, Seoul, Korea, May 2012, pp. 1883-1886.
200. L. Ma, W. Lin, C. Deng and, K.N. Ngan “Study of Subjective and Objective
Quality Assessment of Retargeted Images”, IEEE International Symposium on
Circuits and Systems, Seoul, Korea, May 2012, pp. 2677-2680.
201. L. Xu, K.N. Ngan and M. Wang, “Video Content Dependent Directional
Transform for Intra Frame Coding”, Picture Coding Symposium, Krakow, Poland,
May 2012, pp. 197-200.
202. M. Wang, K.N. Ngan and L. Xu, “Spatial-temporal decorrelation for image/videocoding”, Picture Coding Symposium, Krakow, Poland, May 2012, pp. 201-204.
203. (Invited Paper) L. Xu and K.N. Ngan, “Video Content Dependent Directional
Transform for High Performance Video Coding”, ICME 2012 Workshop on
Emerging Multimedia Systems and Applications, Melbourne, Australia, July 2012,
pp. 79-83.
204. Q. Liu and K.N. Ngan, “Overlapping Local Phase Feature (OLPF) for Robust Face
Recognition in Surveillance”, Advanced Concepts for Intelligent Vision Systems,
Brno, Czech Republic, September 2012, pp. 246-257.
205. (Invited Paper) L. Xu, K.N. Ngan, S. Li and L. Ma, “Video Quality Metric for
Consistent Visual Quality Control in Video Coding”, Asia Pacific Signal andInformation Processing Association (APSIPA) Annual Summit and Conference,
Hollywood, U.S.A., December 2012, paper 56.
206. C. Cui, Q. Zhang and K.N. Ngan, “Object Segmentation from Wide Baseline
Video”, IEEE International Symposium on Circuits and Systems, Beijing, China,
May 2013, pp. 717-720.
207. L. Ma, C. Deng, K.N. Ngan and W. Lin, “Overview of Quality Assessment for
Visual Signals and Newly Emerged Trends”, IEEE International Symposium on
Circuits and Systems, Beijing, China, May 2013, pp. 1091-1094.
208. (Invited paper) M. Wang and K.N. Ngan, “An Efficient Content Adaptive
Transform for Video Coding”, IEEE China Summit & International Conference on
Signal and Information Processing, Beijing, China, July 2013, pp. 547-550.
209. S. Li, K.N. Ngan and S. Lu, “A Head Pose Tracking System using RGB-D
Camera”, 9th International Conference on Computer Vision Systems, St.
Petersburg, Russia, July 2013, pp. 153-162.
210. L. Ma, K.N. Ngan and L. Xu, “Reduced Reference Video Quality Assessment
Based on Spatial HVS Mutual Masking and Temporal Motion Estimation”, IEEE

27

International Conference on Multimedia and Expo, San Jose, U.S.A., July 2013,
paper 217.
211. S. Lu and K.N. Ngan, “Depth Enhancement Based on Hybrid Geometric Hole
Filling Strategy”, IEEE International Conference on Image Processing,
Melbourne, Australia, September 2013, pp. 153-162.
212. S. Ran, K.N. Ngan and S. Li, "The Objective Evaluation of Image Object
Segmentation Quality", Advanced Concepts for Intelligent Vision Systems, Poznan,
Poland, October 2013, pp. 470-479.
213. L. Xu, L. Ma, K.N. Ngan, W. Lin and Y. Weng, “Visual Quality Metric for
Perceptual Video Coding”, International Conference on Visual Communications
and Image Processing, Kuching, Malaysia, November 2013, paper 773.
214. M. Wang, K.N. Ngan and H. Zeng, "A Rate Distortion Optimized Transform for
Motion Compensation Residual", Picture Coding Symposium, San Jose, U.S.A.,
December 2013, pp. 13-16.
215. H. Zeng, K.N. Ngan and M. Wang, "Perceptual Adaptive Lagrangian Multiplierfor High Efficiency Video Coding", Picture Coding Symposium, San Jose, U.S.A.,
December 2013, pp. 69-72.
216. F. Meng, H. Li, K.N. Ngan, B. Zeng and N. Rao, “Cosegmentation from Similar
Backgrounds”, IEEE International Symposium on Circuits and Systems,
Melbourne, Australia, June 2014, pp. 353-356.
217. Q. Wu, H. Li, K.N. Ngan, B. Zeng and M. Gabbouj, “No Reference Image Quality
Metric via Distortion Identification and Multi-Channel Label Transfer”, IEEE
International Symposium on Circuits and Systems, Melbourne, Australia, June
2014, pp. 530-533.
218. T.-W. Hui and K.N. Ngan, "Motion-Depth: RGB-D Depth Map Enhancement with
Motion and Depth in Complement”, IEEE Conference on Computer Vision and
Pattern Recognition, Columbus, Ohio, U.S.A., June 2014, pp. 3962-3969.
219. L. Ma, L. Xu, H. Zeng, K.N. Ngan and C. Deng, “How Does the Shape Descriptor
Measure the Perceptual Quality of the Retargeting Image?”, IEEE International
Conference on Multimedia and Expo, Chengdu, China, July 2014, paper W71.
220. H. Li, Y. Xie, B. Luo, L. Tang, B. Zeng, K.N. Ngan and F. Meng, “Using MidHigh Level Cues to Detect Salient Object”, IEEE International Conference on
Multimedia and Expo, Chengdu, China, July 2014, paper 320.
221. H.R. Wu, W. Lin and K.N. Ngan, " Rate-perceptual-distortion optimisation(RpDO) based picture coding – Issues and Challenges", International Conference
on Digital Signal Processing, Hong Kong, China, August 2014, pp. 777-782.
222. L. Sheng, K.N. Ngan and S. Li, "Temporal Depth Video Enhancement Based on
Intrinsic Static Structure", IEEE International Conference on Image Processing,
Paris, France, October 2014, pp. 2893-2897.
223. S. Li, K.N. Ngan and L. Sheng, "Screen-camera Calibration Using a Thread",IEEE International Conference on Image Processing, Paris, France, October 2014,
pp. 3435-3439.
224. T.-W. Hui and K.N. Ngan, "Depth Enhancement Using RGB-D Guided Filtering",
IEEE International Conference on Image Processing, Paris, France, October 2014,
pp. 3832-3836.
225. T.-W. Hui and K.N. Ngan, "Dense Depth Map Generation Using Sparse Depth
Data from Normal Flows", IEEE International Conference on Image Processing,
Paris, France, October 2014, pp. 3837-3841.

28226. R. Shi, K.N. Ngan and S. Li, "Jaccard Index Compensation for Object
Segmentation Evaluation", IEEE International Conference on Image Processing,
Paris, France, October 2014, pp. 4457-4461.
227. L. Sheng, K.N. Ngan and T.-W. Hui, "Accelerating the Distribution Estimation for
the Weighted Median/Mode Filters ", Asian Conference on Computer Vision,
Singapore, November 2014, paper P2-53.
228. M. Wang, K.N. Ngan, H. Li and H. Zeng, “Improved Block Level Adaptive
Quantization for High Efficiency Video Coding”, IEEE International Symposium
on Circuits and Systems, Lisbon, Portugal, May 2015, pp. 509-512.
229. C.H. Cheung and K.N. Ngan, “A Disocclusion Filling Method Using Multiple
Sprites with Depth for Virtual View Synthesis”, IEEE International Conference on
Multimedia and Expo, Torino, Italy, July 2015, paper W129.
230. M. Wang and K.N. Ngan, “Optimal Bit Allocation in HEVC for Real-time Video
Communications”, IEEE International Conference on Image Processing, Quebec
City, Canada, September 2015, paper 388-KjTN-121.
231. Y. Zhang and K.N. Ngan, “Region-Based Image Retargeting Quality Assessment”,
IEEE International Conference on Image Processing, Quebec City, Canada,
September 2015, paper 388-EoCJ-301.
232. L. Ma, L. Xu, Y. Zhang, K.N. Ngan and Y. Yan, “Rank Learning Based NoReference Quality Assessment of Retargeted Images”, IEEE International
Conference on Systems, Man and Cybernetics, Hong Kong, China, October 2015,
pp. 1024-1028.
233. R. Shi, K.N. Ngan and Y. Zhang, “A Review of Object Segmentation Quality
Subjective Assessment Methods”, IEEE Region 10 Conference, Macau, November
2015, paper 157.
234. T. Zhao, S. Li and K.N. Ngan, “3D Mesh Simplification for Deformable Human
Mesh Guided by Deformation saliency”, 24th International Conference in Central
Europe on Computer Graphics, Visualization and Computer Vision, Plzen, Czech
Republic, May-June 2016, pp. 25-32.
235. Y. Zhang, P.H. Cong, N. Habili and K.N. Ngan, “Material segmentation in
hyperspectral images with minimal region perimeters”, IEEE International
Conference on Image Processing, Phoenix, U.S.A., September 2016, pp. 834-838.
236. Y. Zhang and K.N. Ngan, “Fast patch-wise image retargeting”, IEEE International
Conference on Image Processing, Phoenix, U.S.A., September 2016, pp. 18131817.
237. Q. Wu, H. Li and K.N. Ngan, “GIP: Generic Image Prior for No Reference Image
Quality Assessment”, Pacific-Rim Conference on Multimedia, Xian, China,
September 2016, pp. 600-608.
238. Y. Zhang and K.N. Ngan, “Objective Quality Assessment of Image Retargeting
Based on Line Distortion”, IEEE International Conference on Systems, Man andCybernetics, Budapest, Czech Republic, October 2016, pp. 2505-2510.
239. Q. Wu, H. Li and K.N. Ngan, “Q-DNN: A Quality-Aware Deep Neural Network
for Blind Assessment of Enhanced Images”, International Conference on Visual
Communications and Image Processing, Chengdu, China, November 2016, paper
367.
240. F. Wu, S. Li, T. Zhao and K.N. Ngan, “Model-based Face Reconstruction using
SIFT Flow Registration and Spherical Harmonics”, International Conference on
Pattern Recognition, Cancun, Mexico, December 2016, pp. 1775-1780.

29

241. R. Shi, K.N. Ngan and S. Li, “Salient object segmentation using a switch scheme”,
Asia Pacific Signal and Information Processing Association (APSIPA) Annual
Summit and Conference, Jeju, Korea, December 2016, paper 15.
242. S. Li, F. Wu, T. Zhao, R. Shi and K.N. Ngan, “A Facial Expression Model with
Generative Albedo Texture”, Asia Pacific Signal and Information Processing
Association (APSIPA) Annual Summit and Conference, Jeju, Korea, December
2016, paper 47.
243. R. Shi, K.N. Ngan and S. Li, “Objectness based unsupervised object segmentation
quality evaluation”, Seventh International Conference on Information Science andTechnology, Danang, Vietnam, April 2017, pp. 256 - 258.
244. Q. Wu, H. Li, F. Meng, K.N. Ngan and L. Xu, “Blind Proposal Quality
Assessment via Deep Objectness Representation and Local Linear Regression”,
IEEE International Conference on Multimedia and Expo, Hong Kong, China, July
2017, pp. 1482-1487.
245. L. Sheng, J. Cai, T.-J. Cham, V. Pavlovic and K.N. Ngan, “A Generative Modelfor Depth-based Robust 3D Facial Pose Tracking”, IEEE Conference on Computer
Vision and Pattern Recognition, Honolulu, Hawaii, U.S.A., July 2017, pp. 45984607.
246. L. Ma, H. Li, Q. Wu, C. Shang and K.N. Ngan, “Multi-task Learning for Deep
Semantic Hashing”, IEEE International Conference on Visual Communications
and Image Processing, Taichung, Taiwan, December 2018, paper 260157.
247. Y. Zhang, C.P. Huynh, N. Habili and K.N. Ngan, “Material Segmentation inHyperspectral Images with a Spatio-Spectral Texture Descriptor”, IEEE
International Conference on Acoustics, Speech and Signal Processing, Brighton,
U.K., May 2019, pp. 2397-2401.
248. Q. Wu, R. Ma, K.N. Ngan, H. Li and F. Meng, “Blind Image Sharpness
Assessment and Enhancement via Deep Auxiliary Learning”, IEEE International
Conference on Multimedia and Expo, Shanghai, China, July 2019, pp. 1852-1857.
249. F. Wu, L. Bao, Y. Chen, Y. Ling, Y. Song, S. Li, K.N. Ngan and W. Liu, “MVFNet: Multi-View 3D Face Morphable Model Regression”, IEEE/CVF Conference
on Computer Vision and Pattern Recognition, Long Beach, California, U.S.A.,
July 2019, pp. 959-689.
250. Q. Wu, L. Wang, K.N. Ngan, H. Li and F. Meng, “Beyond Synthetic Data: A
Blind Deraining Quality Assessment Metric Towards Authentic Rain Image”, ”,
IEEE International Conference on Image Processing, Taipei, Taiwan, September
2019, pp. 2364-2368.
251. Y. Yang, F. Meng, H. Li, K.N. Ngan and Q. Wu, “A New Few-Shot Segmentation
Network Based on Class Representation”, IEEE International Conference on
Visual Communications and Image Processing, Sydney, Australia, December
2019, paper 240.
252. K. Huang, F. Meng, H. Li, S. Chen, Q. Wu and K.N. Ngan, “Class Activation Map
Generation by Multiple Level Class Grouping and Orthogonal Constraint”, Digital
Image Computing: Techniques and Applications (DICTA), Perth, Australia,
December 2019, pp. 1-6.
253. H. Li, Q. Wu, K.N. Ngan, H. Li and F. Meng, “Region Adaptive Two-Shot
Network for Single Image Dehazing”, IEEE International Conference on
Multimedia and Expo, London, U.K., July 2020, pp. 1-6.
254. Q. Cheng, H. Li, Q. Wu, F. Meng, L. Xu and K.N. Ngan, “Learn to Pay Attention
via Switchable Attention for Image Recognition”, IEEE Conference on Multimedia

30

Information Processing and Retrieval (MIPR), Shenzhen, China, August 2020, pp.
291-296.
255. H. Li, Q. Wu, H. Wei, K.N. Ngan, H. Li, F. Meng and L. Xu, “Haze-robust image
understanding via context-aware deep feature refinement”, IEEE International
Workshop on Multimedia Signal Processing (MMSP), Tampere, Finland,
September 2020, pp. 1-6.
256. H. Wei, Q. Wu, H. Li, K.N. Ngan, H. Li and F. Meng, “Single Image Dehazing via
Artificial Multiple Shots and Multidimensional Context”, ”, IEEE International
Conference on Image Processing, Abu Dhabi, United Arab Emirates, October
2020, pp. 1023-1027.
257. R. Zhang, F. Meng, H. Li, Q. Wu and K.N. Ngan, “Mining Larger Class Activation
Map with Common Attribute Labels”, IEEE International Conference on Visual
Communications and Image Processing, Macau, China, December 2020, pp. 2932.
258. X. Xu, F. Meng, H. Li, Q. Wu, K.N. Ngan and S. Chen, “A New Bounding Box
based Pseudo Annotation Generation Method for Semantic Segmentation”, IEEE
International Conference on Visual Communications and Image Processing,
Macau, China, December 2020, pp. 100-103.
259. L. Yang, H. Li, Q. Wu, F. Meng and K.N. Ngan, “Mono is Enough: InstanceSegmentation from Single Annotated Sample”, IEEE International Conference on
Visual Communications and Image Processing, Macau, China, December 2020,
pp. 120-123.
260. Q. Wu, L. Chen, K.N. Ngan, H. Li, F. Meng and L. Xu, “A Unified Single Image
De-raining Model via Region Adaptive Coupled Network”, IEEE International
Conference on Visual Communications and Image Processing, Macau, China,
December 2020, pp. 205-208.
261. L. Wang, Q. Wu, K.N. Ngan, H. Li, F. Meng and L. Xu, “Blind Tone-mapped
Image Quality Assessment and Enhancement via Disentangled Representation
Learning”, Asia Pacific Signal and Information Processing Association (APSIPA)
Annual Summit and Conference, Auckland, New Zealand, December 2020, pp.
1096-1102.
262. H. Luo, H. Li, Q. Wu, H. Li, K.N. Ngan, F. Meng and L, Xu, “Few-Shot
Segmentation via Complementary Prototype Learning and Cascaded Refinement”,
Pattern Recognition and Computer Vision (PRCV), Beijing, China, October 2021,
LNCS 13022, pp. 484–495.
263. R. Ma, H. Luo, Q. Wu, K.N. Ngan, H. Li, F. Meng and L, Xu, “Remember andReuse: Cross-Task Blind Image Quality Assessment via Relevance-aware
Incremental Learning”, ACM Multimedia, October 2021, pp. 5248–5256.
F.

Edited Special Issues in Journals

1.

K.N. Ngan, S. Panchanathan, T. Sikora and M.-T. Sun, “Special Issue on
Segmentation, Description and Retrieval of Video Content,” IEEE Transactions on
Circuits and Systems for Video Technology, U.S.A., vol. 8, no. 5, September 1998,
pp. 521-696.
S. Benton, B. Choquet, R. Horst, K.N. Ngan and M. Tanimoto, “Special Issue on 3D
Video Technology,” Signal Processing: Image Communication, Europe, vol. 14,
Nos. 1-2, November 1998, pp. 1-194.
K.N. Ngan, S. Panchanathan, T. Sikora and M.-T. Sun, “Special Issue on
Representation and Coding of Images and Video I,” IEEE Transactions on Circuits

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and Systems for Video Technology, U.S.A., vol. 8, no. 7, November 1998, pp. 797920.
K.N. Ngan, S. Panchanathan, T. Sikora and M.-T. Sun, “Special Issue on
Representation and Coding of Images and Video II,” IEEE Transactions on Circuits
and Systems for Video Technology, U.S.A., vol. 9, no. 1, February 1999, pp. 1-199.
K.N. Ngan, M. Strintzis, M. Tanimoto and Y. Wang, “Special Issue on 3-D Video
Technology,” IEEE Transactions on Circuits and Systems for Video Technology,
U.S.A., vol. 10, no. 2, March 2000, pp. 185-330.
Y. Altunbasak, C.W. Chen, M.R. Civanlar and K.N. Ngan, “Special Issue on Recent
Advances in Wireless Video,” Signal Processing: Image Communication, Europe,
vol. 18, no. 10, November 2003, pp. 857-1008.
C.W. Chen, M. Ghanbari and K.N. Ngan, “Special Issue on Visual Communicationin the Ubiquitous Era,” Journal of Visual Communications and Image
Representation, Academic Press, U.S.A., vol. 16, no. 4-5, August-October 2005, pp.
393-620.
H. Wang, K.N. Ngan and J. Ostermann, “Special Issue on Advances in VisualContent Analysis and Adaptation for Multimedia Communications”, IEEE
Communications Magazine, U.S.A., vol. 45, no. 1, January 2007, pp. 24-91.
W. Gao, K.N. Ngan and L. Yu, “Special Issue on AVS and its Applications,” Signal
Processing: Image Communication, Europe, vol. 24, no. 4, April 2009, pp. 245-344.

G.

Patents

1.

R.C. Nicol, B.A. Fenn, R.J. Clarke and K.N. Ngan, "Method and process fortransmitting an image," US Patent No. 4504860, 12 March 1985.
R.C. Nicol, B.A. Fenn, R.J. Clarke and K.N. Ngan, "Method and apparatus fortransmitting an image," Canadian Patent No. 1194984, 1985.
R.C. Nicol, B.A. Fenn, R.J. Clarke, K.N. Ngan and W.K. Cham, "Method andapparatus for transmitting an image," European Patent No. 0072117, 1985.
D.W. Lin and K.N. Ngan, “Low bit-rate video coding technique,” US Patent No. US
5214506, 25 May 1993.
King Ngi Ngan, Jie Dong and Yan Huo, “Method and Apparatus of De-Interlacing
Video”, US Patent No. US 8165211 B2, 24 April 2012.
King Ngi Ngan and Bangsheng Cheng, “Method and Apparatus for Recognizing and
Localizing Landmarks from an Image onto a Map”, US Patent No. US 8180146 B2,
15 May 2012.
Wai-Kuen Cham, Chi Keung Fong, Jie Dong, King Ngi Ngan, Hoi Ming Wong, Lu
Wang, Yan Huo, Thomas H.Y. Pun, “Method and Device for Order-16 Integer
Transform from Order-8 Integer Cosine Transform,” US Patent No. US 8228983 B2,
24 July 2012.
King Ngi Ngan and Hongliang Li, “Real-time Body Segmentation System”, US
Patent No. US 8233676 B2, 31 July 2012.
King Ngi Ngan and Jie Dong, “Parametric Interpolation Filter for MotionCompensated prediction”, US Patent No. US 8548065 B2, 1 October 2013.
King Ngi Ngan, Lin Ma, Wai-Kuen Cham and Yu Liu, “Method and Apparatus forVideo Coding by ABT-Based Just Noticeable Difference Model”, US Patent No. US
8559511 B2, 15 October 2013.
King Ngi Ngan and Songnan Li, “Real-Time Head Pose Tracking with Online Face
Template Reconstruction”, US Patent No. US 9672412 B2, 6 June 2017.

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King Ngi Ngan and Hongliang Li, “Real-time Body Segmentation System”, Hong
Kong Patent No. HK 1150284, 15 August 2014.
颜庆义, 马林, 湛伟权, 刘雨, “通过基于 ABT 的最小可觉差模型进行视频编码的
方法和装置”, 香港应用科技研究院有限公司, China Patent No. CN 101835048B,
26 September 2012.
颜庆义,李宏亮, ”实时身体分割系统”, 香港中文大学, China Patent Application No.
CN 101971190A, 9 February 2011.

H.

Technical Memoranda

1.

K.N. Ngan, D.W. Lin and M.L. Liou, "Enhancement of image quality for low bit
rate video coding," Bellcore Technical Memorandum TM-ARH-015823, November
1989.
D.W. Lin and K.N. Ngan, "Improving low bit rate video quality by randomizedordering of image blocks," Bellcore Technical Memorandum TM-ARH-015784,
November 1989.

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I.

Technical Reports

1.

M.H. Lee, D.K.K. Lau, K.N. Ngan, G. Rogers, “Wavelet Video with Priority
Encoding Transmission,” CRC-BTN Technical Reports, VRL-TR-004, November
1997.
C. W. Yap, R. Liyanapathirana, and K.N. Ngan, “Bit Error Sensitivity of the H.263
bitstream,” CRC-BTN Technical Reports, VRL-TR-006, January 1998.
R. Liyanapathirana, K.N. Ngan, C.W. Yap and L.K. Chan, “Transmission of H.263Coded Video over Rayleigh Fading Channels using RCPC Channel Codes,” CRCBTN Technical Reports, VRL-TR-008, April 1998.

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J.

Standards Contributions

1.

D. Chai and K.N. Ngan, “Automatic face segmentation algorithm”, ISO/IEC
JTC1/SC29/WG11/MPEG97/M2237, 1997.
T. Meier and K.N. Ngan, “Automatic segmentation based on Hausdorff Object
Tracking”, ISO/IEC JTC1/SC29/WG11/MPEG97/M2238, 1997.
喻莉,朱光喜,颜庆义,“关于制定移动多媒体（MMS）标准的建议”, Audio Video
Coding Standard Workgroup of China (数字音视频编解码技术标准化工作组),AVS M1251: March 2004.
岑峰,颜庆义,“EFIMS 快速帧内预测模式选择算法”, Audio Video Coding Standard
Workgroup of China ( 数 字 音 视 频 编 解 码 技 术 标 准 化 工 作 组 ), AVS M1363:
August 2004.
Feng Cen, King Ngi Ngan and Wai-kuen Cham,“HRD Model”, Audio Video CodingStandard Workgroup of China (数字音视频编解码技术标准化工作组), AVS
M1449: December 2004, Video Proposal.
Zhenzhong Chen, Feng Cen, King Ngi Ngan and Wai-kuen Cham,“Analysis on
Encoding Delay and Parameter Initialization”, Audio Video Coding Standard
Workgroup of China (数字音视频编解码技术标准化工作组), AVS M1524:
December 2004, Video Information.
Feng Cen, King Ngi Ngan and Wai-kuen Cham,“Buffering Model in HRD”, Audio
Video Coding Standard Workgroup of China (数字音视频编解码技术标准化工作组), AVS M1525: December 2004, Video Proposal.

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Dong Jie, King Ngi Ngan and Wai-kuen Cham,“Adaptive Block-size Transforms for
AVS X-profile”, Audio Video Coding Standard Workgroup of China (数字音视频编解码技术标准化工作组), AVS M1771: March 2006, Video Proposal.
W.K. Cham, Calvin Fong, Jie Dong and K.N. Ngan (Chinese University of HongKong), Hoi-Ming Wong, Lu Wang, Yan Huo and Thomas Pun (Hong Kong Applied
Science and Technology Research Institute Company Limited), “Adaptive Blocksize Transform for AVS-X”, Audio Video Coding Standard Workgroup of China (数字音视频编解码技术标准化工作组), AVS M2182: December 2007, Video
Proposal.
W.K. Cham, Calvin Fong, Jie Dong and K.N. Ngan (Chinese University of HongKong), Hoi-Ming Wong, Lu Wang, Yan Huo and Thomas Pun (Hong Kong Applied
Science and Technology Research Institute Company Limited), “Adaptive Blocksize Transform for AVS-X”, Audio Video Coding Standard Workgroup of China (数字音视频编解码技术标准化工作组), AVS M2284: March 2008, Video Proposal.
Xunan Mao, Yunfei Wang and Yun He (Tsinghua University), W.K. Cham, C.K.
Fong, J. Dong and K.N. Ngan (Chinese University of Hong Kong), Hoi-Ming Wong,
Lu Wang, Yan Huo, Thomas Pun and Carmen Cheng (Hong Kong Applied Scienceand Technology Research Institute Company Limited), “AVS 自适应块大小编码技术”, Audio Video Coding Standard Workgroup of China (数字音视频编解码技术
标准化工作组), AVS M2372: June 2008, Video Proposal.
C.M. Mak, J. Dong and K.N. Ngan, “Subjective and Objective Quality Comparisonof H.264/AVC and AVS at High Fidelity”, Audio Video Coding Standard
Workgroup of China (数字音视频编解码技术标准化工作组), AVS M2530: March
2009, Video Information.
W.K. Cham; C.K. Fong; Y.L. Fong; K.N. Ngan; Y. LIU and Carmen K.M.
Cheng. "Adaptive Block-size Transform Towards AVS 2.0". Audio Video CodingStandard Workgroup of China (数字音视频编解码技术标准化工作组), AVS
M2610: September 2009, Video Proposal.

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