Books:

[1] C.-W. Chen, D. Schonfeld, and J. Liu, (Eds.), Proceedings of the SPIE/IS&T International Conference on Visual Communication and Image Processing. SPIE Press, 2007.

[2] D. Schonfeld, C. Shan, D. Tao, and L. Wang, (Eds.), Video Search and Mining. Studies in Computational Intelligence Series, Springer-Verlag, 2010.

Book Chapters: 

[1] M. Charif-Chefchaouni and D. Schonfeld, “Spatially-Variant Mathematical Morphology: Minimal Basis Representation,”Mathematical Morphology and Its Applications to Image and Signal Processing. P. Maragos, R.W. Schafer, and M.K. Butt, (ed.), pp. 49-56, Kluwer Academic Publishers: Boston,Massachussets, 1996

[2] D. Schonfeld, “Weighted Composite Order-Statistics Filters: Optimal Morphological Pattern Recognition,” Mathematical Morphology and Its Applications to Image and Signal Processing.P. Maragos, R.W. Schafer, and M.K. Butt, (ed.), pp. 163-170,Kluwer Academic Publishers: Boston, Massachussets, 1996

[3] D. Schonfeld, “Image and Video Communication Networks,” (Invited Chapter). Handbook of Image and Video Processing. A. Bovik (ed.), Academic Press: San Diego, California, Chapter 9.3, pp. 717-732, 2000.

[4] D. Lelescu and D. Schonfeld, “Video skimming and summarization based on principal component analysis,” Management of Multimedia on the Internet, Lecture Notes in Computer Science, E.S. Al-Shaer and G. Pacifici (Eds.), Springer-Verlag, pp. 128-141, 2001.

[5] F. Bashir, S. Khanvilkar, A. Khokhar, and D. Schonfeld, “Multimedia systems: Content based indexing and retrieval,” (Invited Chapter). Electrical Engineering Handbook. W-K. Chen (ed.), Academic Press: San Diego, California, pp. 379-400, 2004.

[6] S. Khanvilkar, F. Bashir, D. Schonfeld, and A. Khokhar, “Multimedia networks and communication,” (Invited Chapter).Electrical Engineering Handbook. W-K. Chen (ed.), Academic Press: San Diego, California, pp. 401-425, 2004.

[7] D. Schonfeld, “Video Communication Networks,” (Invited Chapter). Handbook of Image and Video Processing. Second Edition. A. Bovik (ed.), Academic Press: San Diego, California, Chapter 9.3, pp. 1031-1064, 2005.

[8] D. Schonfeld, “Video Communication Networks,” (Invited Chapter). The Essential Guide to Video Processing. A. Bovik (ed.), Elsevier: Chennai, India, Chapter 16, pp. 473-526, 2009.

[9] X. Ma, X. Chen, A. Khokhar, and D. Schonfeld, “Motion trajectory-based video retrieval, classification, and summarization,” Video Search and Mining. Studies in Computational Intelligence Series, Springer-Verlag, pp. 53-82, 2010.

Journal Editorials:

[1] D. Schonfeld, J. Goutsias, I. Shmulevich, I. Tabus, and A.H. Tewfik, “Introduction to the issue on genomic and proteomic signal processing,” IEEE Journal of Selected Topics in Signal Processing, Special Issue on Genomic and Proteomic Signal Processing, vol. 2, pp. 257-260, 2008.

[2] S.-F. Chang, J. Luo, S. Maybank, D. Schonfeld, and D. Xu, “An Introduction to the special issue on event analysis in videos,”IEEE Transactions on Circuits and Systems for Video Technology, vol. 18, pp. 1469-1472, 2008.

[3] D. Schonfeld, “Perspectives on special issues,” IEEE Signal Processing Magazine, vol. 26, issue 5, September 2009.

[4] D. Schonfeld, “The evolution of signal processing,” IEEE Signal Processing Magazine, vol. 27, issue 5, September 2010.

[5] J. Biemond, G. de Haan, A. Kaup, S.-J. Ko, D. Schonfeld, and L. Shao, “Introduction to the issue on recent advances in video processing for consumer displays,” IEEE Journal of Selected Topics in Signal Processing, Special Issue on Recent Advances in Video Processing for Consumer Displays, 2010, to appear.

[6] R. Chellappa, W. Heinzelman, J. Konrad, D. Schonfeld, and M. Wolf, “Introduction to Special Section on Distributed Camera Networks: Sensing, Processing, Communication, and Implementation,” Special Section on Distributed Camera Networks: Sensing, Processing, Communication, and Implementation, IEEE Transactions on Image Processing, vol. 19, 2010.

Journal Papers: 

[1] D. Schonfeld and J. Goutsias, “Optimal morphological pattern restoration from noisy binary images,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 13, pp. 14-29, 1991.

[2] D. Schonfeld and J. Goutsias, “On the morphological representation of binary images in a noisy environment,”Journal of Visual Communication and Image Representation, vol. 2, pp. 17-30, 1991.

[3] J. Goutsias and D. Schonfeld, “Morphological representation of discrete and binary images,” IEEE Transactions on Signal Processing, vol. 39, pp. 1369-1379, 1991.

[4] D. Schonfeld, “On the hysteresis and robustness of Hopfield neural networks,” IEEE Transactions on Circuits and Systems—II: Analog and Digital Signal Processing, vol. 40, pp. 745-748, 1993.

[5] D. Schonfeld, “Optimal structuring elements for the morphological pattern restoration of binary images,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, pp. 589-601, 1994.

[6] M. Charif-Chefchaouni and D. Schonfeld, “Morphological representation of nonlinear filters,” Journal of Mathematical Imaging and Vision, vol. 4, pp. 215-232, 1994.

[7] B. Kisacanin and D. Schonfeld, “A fast thresholded linear convolution representation of morphological operations,” IEEE Transactions on Image Processing, vol. 3, pp. 455-457, 1994.

[8] M. Charif-Chefchaouni and D. Schonfeld, “On the invertibilityof the morphological representation of binary images,” IEEE Transactions on Image Processing, vol. 3, pp. 847-849, 1994.

[9] M. Charif-Chefchaouni and D. Schonfeld, “Morphological representation of order-statistics filters,” IEEE Transactions on Image Processing, vol. 4, pp. 838-845, 1995.

[10] M. Charif-Chefchaouni and D. Schonfeld, “On the convergence and roots of order-statistics filters,” IEEE Transactions on Signal Processing, vol. 43, pp. 1990-1993, 1995.

[11] B.K. Jang, R.T. Chin, M. Charif-Chefchaouni, and D. Schonfeld, “Comments on the invertibility of the morphological representation,” IEEE Transactions on Image Processing, vol. 5, pp. 529-532, 1996.

[12] A. Abu-Naser, N.P. Galatsanos, M.N. Wernick and D. Schonfeld, “Object recognition based on impulse restoration with use of the expectation-maximization algorithm,” Journal of the Optical Society of America A: Optics, Image Science, and Vision, vol. 15, pp. 2327-2340, 1998.

[13] K.A. Matkowskyj, D. Schonfeld, and R.V. Benya, “Quantitativeimmunohistochemistry by measuring cumulative signal strength using commercially available software Photoshop and Matlab,”The Journal of Histochemistry & Cytochemistry, vol. 48(2), pp. 303-311, 2000.

[14] D. Schonfeld, “On the relation of order-statistics filters and template matching,” IEEE Transactions on Image Processing, vol. 9, pp. 945-949, 2000

[15] D. Schonfeld and D. Lelescu, “VORTEX: Video retrieval and tracking from compressed multimedia databases—multiple object tracking from MPEG-2 bitstream,” (Invited Paper). Journal of Visual Communications and Image Representation, Special Issue on Multimedia Database Management, vol. 11, pp. 154-182, 2000.

[16] D. Lelescu and D. Schonfeld, “Statistical sequential analysis for real-time scene change detection on compressed multimediabitstream,” IEEE Transactions on Multimedia, vol. 5, pp. 106-117, 2003.

[17] V. Pavlovic, D. Schonfeld, and G. Friedman, “Stochastic noise process enhancement of Hopfield neural networks,” IEEE Transactions on Circuits and Systems, vol. 52, no. 4, pp. 213-217, 2005.

[18] N. Bouaynaya and D. Schonfeld, “Motion-based particle filtering for head tracking applications,” (Invited Paper).Electronic Imaging Newsletter, vol. 15, no. 2, p. 8, 2005.

[19] N. Balakrishnan, K. Hariharakrishnan, and D. Schonfeld, “A new image representation algorithm inspired by image submodalitymodels, redundancy reduction, and learning in biological vision,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 9, pp. 1367-1378, 2005.

[20] K. Hariharakrishnan and D. Schonfeld, “Fast object tracking using adaptive block matching,” IEEE Transactions on Multimedia, vol. 7, no. 5, pp. 853-859, 2005.

[21] B. Cavusoglu, D. Schonfeld, R. Ansari, and D.K. Bal, “Real-time low-complexity adaptive approach for enhanced QoS and error resilience in MPEG-2 video transport over RTP networks,”IEEE Transactions on Circuits and Systems for Video Technology, vol. 15, no. 12, 2005.

[22] D. Schonfeld and G. Friedman, “On the optimality of hysteresis in signal processing and communication systems,” The Journal of the Franklin Institute, vol. 342, pp. 749-759, 2005.

[23] S. Balam and D. Schonfeld, “Associative processors for video coding applications,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 16, pp. 241-250, 2006.

[24] F.I. Bashir, A.A. Khokhar, and D. Schonfeld, “Real-time affine-invariant motion trajectory-based retrieval and classification of video sequences from arbitrary camera view,”ACM Multimedia Systems Journal, Special Issue on Machine Learning Approaches to Multimedia Information Retrieval, vol. 12, pp. 45-54, 2006.

[25] D. Schonfeld and N. Bouaynaya, “A new method for multidimensional optimization and its application in image and video processing,” IEEE Signal Processing Letters, vol. 13, pp. 485-488, 2006.

[26] N. Bouaynaya, M. Charif-Chefchaouni and D. Schonfeld, “Spatially-Variant Morphological Restoration and Skeleton Representation,” IEEE Transactions on Image Processing, vol. 15, pp. 3579-3591, 2006.

[27] F.I. Bashir, A.A. Khokhar, and D. Schonfeld, “Real-time motion trajectory-based indexing and retrieval of video sequences,”IEEE Transactions on Multimedia, vol. 9, pp. 58-65, 2007.

[28] W. Qu, D. Schonfeld, and M. Mohamed, “Distributed Bayesian multiple target tracking in crowded environments using multiple collaborative cameras,” EURASIP Journal on Applied Signal Processing, Special Issue on Tracking in Video Sequences of Crowded Scenes, Article ID 38373, 15 pages, 2007.

[29] W. Qu, D. Schonfeld, and M. Mohamed, “Real-time distributed multi-object tracking using multiple interactive trackers and a magnetic-inertia potential model,” IEEE Transactions on Multimedia, vol. 9, pp. 511-519, 2007.

[30] F.I. Bashir, A.A. Khokhar, and D. Schonfeld, “Object trajectory-based activity classification and recognition using hidden Markov models,” IEEE Transactions on Image Processing, vol. 16, pp. 1912-1919, 2007.

[31] N. Bouaynaya and D. Schonfeld, “Protein communication system: Evolution and genomic structure,” Algorithmica, Special issue on Algorithmic Methodologies for Processing Protein Structures, Sequences and Networks, vol. 48, pp. 375-397, 2007.

[32] W. Qu and D. Schonfeld, “Real-time decentralized articulated motion analysis and object tracking from videos,” IEEE Transactions on Image Processing, vol. 16, pp. 2129-2138, 2007.

[33] S. Liao, M. Dutta, Dan Schonfeld, T. Yamanaka and M.A. Stroscio, “Quantum dot blinking: relevance to physical limits for nanoscale optoelectronic device,” Journal of Computational Electronics, 2008.

[34] P. Pan and D. Schonfeld, “Image reconstruction and multi-dimensional field estimation from randomly scattered sensors,”IEEE Transactions on Image Processing, vol. 17, pp. 94-99, 2008.

[35] N. Bouaynaya, M. Charif-Chefchaouni and D. Schonfeld, “Theoretical foundations of spatially-variant mathematical morphology—Part I: Binary images,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 823-836, 2008.

[36] N. Bouaynaya and D. Schonfeld, “Theoretical foundations of spatially-variant mathematical morphology—Part II: Gray-level images,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 837-850, 2008.

[37] H. Hong and D. Schonfeld, “Maximum-entropy expectation-maximization algorithm for image reconstruction and sensor field estimation,” IEEE Transactions on Image Processing, vol. 17, pp. 897-907, 2008.

[38] N. Bouaynaya and D. Schonfeld, “Non-stationary analysis of coding and noncoding regions in nucleotide sequences,” IEEE Journal of Selected Topics in Signal Processing, Special Issue on Genomic and Proteomic Signal Processing, vol. 2, pp. 357-364, 2008.

[39] P. Pan and D. Schonfeld, “Dynamic proposal variance and optimal particle allocation in particle filtering for video tracking,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 18, pp. 1268-1279, 2008.

[40] W. Qu and D. Schonfeld, “Robust control-based object tracking,” IEEE Transactions on Image Processing, vol. 17, pp. 1721-1726, 2008.

[41] J. S. Zielinski, N. Bouaynaya, D. Schonfeld, and W. O’Neill, “Time-dependent ARMA modeling of genomic sequences,” BMC Bioinformatics, vol. 9, 9 pages, 2008.

[42] J. S. Zielinski, N. Bouaynaya, D. Schonfeld, and W. O’Neill, “Time-dependent ARMA modeling of genomic sequences,” BMC Bioinformatics, vol. 9, 9 pages, 2008.

[43] X. Ma, F. Bashir, A. Khokhar, and D. Schonfeld, “Event analysis based on multiple interactive motion trajectories,”IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, pp. 397-406, 2009.

[44] J. Yang, D. Schonfeld, and M. Mohamed, “Robust video stabilization based on particle filtering tracking of projected camera motion,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, pp. 945-954, 2009. [pdf] [45]     N. Bouaynaya and D. Schonfeld, “Motion-based particle filtering for object tracking applications,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, pp. 1068-1072, 2009.

[46] X. Ma, D. Schonfeld, and A. Khokhar, “Video event classification and image segmentation based on non-causal multi-dimensional hidden Markov models,” IEEE Transactions on Image Processing, vol. 18, pp. 1304-1313, 2009.

[47] H. Hong and D. Schonfeld, “Attractive-repulsive expectation-maximization algorithm for density estimation,” IEEE Transactions on Image Processing, vol. 18, pp. 2004-2011, 2009.

[48] X. Chen, D. Schonfeld, and A. Khokhar, “Localization and trajectory estimation of mobile objects using minimum samples,”IEEE Transactions on Vehicular Technology, vol. 58, pp. 4439-4446, 2009.

[49] L. Wang and D. Schonfeld, “Mapping equivalence for symbolic sequences: Theory and applications,” IEEE Transactions on Signal Processing, vol. 57, pp. 4895-4905, 2009.

[50] J. Yang and D. Schonfeld, “Virtual focus and depth estimation from defocused video sequences,” IEEE Transactions on Image Processing, vol. 19, pp. 668-679, 2010.

[51] C. Chen and D. Schonfeld, “Pose estimation from multiple cameras based on Sylvester’s equation,” Special Issue on Multi-Camera and Multi-Modal Sensor Fusion, Journal of Computer Vision and Image Understanding, vol. 114, pp. 652-666, 2010.

[52] C. Chen and D. Schonfeld, “A particle filtering framework for joint video tracking and pose estimation,” IEEE Transactions on Image Processing, accepted.

[53] L. Gong, N. Bouaynaya, and D. Schonfeld, “Information-theoretic model of evolution over protein communication channel,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, accepted.

[54] P. Pan and D. Schonfeld, “Visual tracking using high-order particle filtering,” IEEE Signal Processing Letters, accepted.

[55] N. Bouaynaya, R. Shterenberg, and D. Schonfeld, “Inverse perturbation for optimal intervention in gene regulatory networks,” Bioinformatics, accepted.

[56] P. Pan and D. Schonfeld, “Video tracking based on sequential particle filtering on graphs,” IEEE Transactions on Image Processing, accepted.