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Books

[1] D. Salomon and G. Motta, .Handbook of Data Compression,. Springer, Dec. 2009, ISBN-10: 1848829027.

[2] G. Motta, F. Rizzo, and J. A. Storer (Editors), .Hyperspectral Data Compression,. Springer, Oct. 2005, ISBN: 0-387-28579-2.

Books (Contributions)

[3] D. Salomon, sections .File Differencing. and .Hyperspectral Data Compression,. in Data Compression: the Complete Reference, Springer, 4th edition, Jan. 2007, pp. 952-970.

[4] G. Motta, F. Rizzo, and J. A, Storer, .Digital Image Compression,. in Encyclopedia of Computer Science, John Wiley & Sons, 4th edition, Sep. 2003, pp. 836-840. Also reprinted in Concise Encyclopedia of Computer Science, John Wiley & Sons, 5th edition, Sep. 2004, pp. 379-382.

Lossless Image Compression

[5] G. Motta, J. A. Storer, and B. Carpentieri, .Lossless Image Coding via Adaptive Linear Prediction and Classification,. IEEE Proceedings of the IEEE, Nov. 2000, Vol. 88, No. 11, pp. 1790-1796.

[6] G. Motta, J. A. Storer, and B. Carpentieri, .Adaptive Linear Prediction Lossless Image Coding,. Proceedings of the Data Compression Conference (DCC 99), Mar. 1999, pp. 491-500.

[7] B. Carpentieri and G. Motta, .A New Trellis Vector Residual Quantizer: Applications to Image Coding,. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 97), Apr. 1997, Vol. IV, pp. 2929-2932.

[8] G. Motta and B. Carpentieri, .Trellis Vector Residual Quantization,. Proceedings of the International Conference on Signal Processing Applications & Technology (ICSPAT 97), Sep. 1997, pp.412-416.

[9] G. Motta and B. Carpentieri, .A New Trellis Vector Residual Quantizer with Applications to Speech and Image Coding,. Proceedings of Data Compression Conference (DCC 97), Mar.1997, p. 427.

Hyperspectral Imaging

[10] F. Rizzo, B. Carpentieri, G. Motta, and J. A. Storer, .Low-Complexity Lossless Compression of Hyperspectral Imagery via Linear Prediction,. Signal Processing Letters, IEEE, Feb. 2005, Vol.12, Iss.2, pp. 138-141.

[11] F. Rizzo, G. Motta, B. Carpentieri, and J. A. Storer. .High Performance Compression of Hyperspectral Imagery with Reduced Search Complexity in the Compressed Domain,. Proceedings of the Data Compression Conference (DCC 04), Mar. 2004, pp. 479-488.

[12] G. Motta, F. Rizzo, and J. A. Storer, .Partitioned Vector Quantization: Applications to Lossless Compression of Hyperspectral Images,. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 03), Apr. 2003, Vol. III, pp. 241-244 (Cancelled). Also in Proceedings of 2003 International Conference on Multimedia (ICME 03), Jul. 2003, Vol.1, pp. 553-556.

[13] F. Rizzo, G. Motta, and J. A. Storer, .Compression of Hyperspectral Imagery,. Proceedings of the Data Compression Conference (DCC 03), Mar. 2003, pp. 333-342.

[14] G. Motta, F. Rizzo, and J. A. Storer, .Compression of Hyper/Ultra-Spectral Data,. Proceedings of SPIE, Optics and Photonics, Satellite Data Compression, Communication and Archiving, Jul. 2005, Vol. 5889, pp. 588908-1--588908-10.

[15] G. Motta, F. Rizzo, J. A. Storer, and B. Carpentieri, .Real-Time Software Compression and Classification of Hyperspectral Images,. Proceedings of SPIE, Vol. 5573, pp. 182-192, Remote Sensing Europe 2004, Image and Signal Processing for Remote Sensing X, L. Bruzzone (Editor).

[16] F. Rizzo, G. Motta, J. A. Storer, and B. Carpentieri, .Lossless Compression of Hyperspectral Imagery: a Real-Time Approach,. Proceedings of SPIE, Vol. 5573, pp. 262-272, Remote Sensing Europe 2004, Image and Signal Processing for Remote Sensing X, L. Bruzzone (Editor).

[17] B. Carpentieri, J. A. Storer, G. Motta, and F. Rizzo, .Compression of Hyperspectral Imagery,. International Conference on E-Business and Telecommunication Networks, pp. 317-324, Aug. 2004.

Texture and Shape Analysis

[18] A. Di Lillo, G. Motta, and J. A. Storer. .Multiresolution Rotation-Invariant Texture Classification Using Feature Extraction in the Frequency Domain and Vector Quantization,. Proceedings of the Data Compression Conference (DCC 08), Mar. 2008, pp. 452-461.

[19] A. Di Lillo, G. Motta, and J. A. Storer. .Texture Classification Based on Discriminative Features Extracted in the Frequency Domain,. International Conference on Image Processing (ICIP .07), Vol.II, pp. 53-56, Sep. 2007.

[20] A. Di Lillo, G. Motta, and J. A. Storer. .Supervised Segmentation Based on Texture Signatures Extracted in the Frequency Domain,. Proceedings of the 3^rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 07), Jun. 2007, pp. 89-96.

[21] A. Di Lillo, J. A. Storer, and G. Motta. .Texture Classification Using VQ with Feature Extraction based on Transforms Motivated by the Human Visual System,. Proceedings of the Data Compression Conference (DCC 07), Mar. 2007, p. 392.

[22] A. Di Lillo, G. Motta, and J. A. Storer .Shape Recognition Using Vector Quantization,. Proceedings of the Data Compression Conference (DCC 2010), Mar 2010, pp. 484-493.

[23] A. Di Lillo, G. Motta, K. Thomas, and J. A. Storer .Shape Recognition, with Application to a Passive Assistant,. Proceedings of Pervasive Technologies Related to Assisted Environments (PETRA 2010), Jun 2010.

Video Coding

[24] G. Motta, J. A. Storer, and B. Carpentieri, .Improving Scene Cut Quality for Real-Time Video Decoding,. Proceedings of the Data Compression Conference (DCC 2000), Mar. 2000, pp. 470-479.

[25] G. Motta, J. A. Storer, and B. Carpentieri, .Optimal Frame Skipping for H.263+ Video Encoding,. Proceedings of the International Conference on Signal Processing Applications and Technology (ICSPAT 2000), Oct. 2000, pp. 373-377.

[26] Y. Ye, G. Motta, and M. Karczewicz .Enhanced Adaptive Interpolation Filters for Video Coding,. Proceedings of the Data Compression Conference (DCC 2010), Mar 2010, pp. 435-444.

Denoising

[27] G. Motta, E. Ordentlich, I. Ramirez, G. Seroussi, and M. Weinberger, .The DUDE Framework for Continuous Tone Image Denoising,. International Conference on Image Processing (ICIP .05), Vol. III, pp. 345-348, Sep. 2005.

[28] G. Motta, E. Ordentlich, I. Ramirez, G. Seroussi, and M. Weinberger .The DUDE Framework for Continuous Tone Image Denoising,. Submitted to IEEE Transactions on Image Processing.

Magnetic Resonance Imaging (MRI)

[29] G. Bahl, D. A. Aguirre, G. Motta, A. G. Fotinos, G. Rescinito, and C. B. Sirlin, .Quantitative texture analysis of liver fibrosis on double-contrast enhanced gradient recalled echo images,. Meeting of the RSNA, Nov. 2005.

[30] G. Motta, M. S. Middleton, G. Bahl, M. Bydder, D. A. Aguirre, B. L. Holloway, and C. B. Sirlin, .A new method of measuring noise on MR images using local Singular Value Decomposition,. Meeting of the RSNA, Nov. 2005.

[31] G. Bahl, D. A. Aguirre, G. Motta, A. G. Fotinos, G. Rescinito, and C. B. Sirlin, .Quantitative texture analysis of liver fibrosis on double-contrast enhanced gradient recalled echo images,. Meeting of the AASLD 2005, Nov. 2005.

Miscellanea

[32] G. Motta, E. Ordentlich, and M. Weinberger, .Defect List Compression,. Proceedings of the Data Compression Conference (DCC 08), Mar. 2008, pp. 3-12.

[33] G. Motta, J. Gustafson, and S. Chen. .Differential Compression of Executable Code,. Proceedings of the Data Compression Conference (DCC 07), Mar. 2007, pp. 103-112.

[34] A. Di Lillo and G. Motta, .LFSR provides encryption,. Electronic Design News Magazine, Design Ideas, Sep. 2001, p. 74 (#20).

[35] G. Motta and M. J. Weinberger, .Compression of Polynomial Texture Maps,. Technical Report, Information Theory Research Group, HP Laboratories Palo Alto, HPL-2000-143 (R2), Apr. 2001.

[36] G. Motta, .C Routine Speeds Decimal-to-Binary Conversion,. Electronic Design News Magazine, Design Ideas, Nov. 1999, p. 170 (#23).

[37] O. Shanker and G. Motta, .Use of Word Relationship Graphs to analyze Texts in Different Languages,. Submitted to ACM Transactions on Speech and Language Processing.

Doctoral Dissertations

[38] G. Motta, .Optimization Methods for Data Compression,. Dissertation presented to Brandeis University for the degree of Ph.D. in Computer Science, Waltham, Massachusetts, May 2002.

[39] G. Motta, .Un Quantizzatore Vettoriale a Trellis per la Codifica dei Residui., Dissertation presented to Universita. Degli Studi di Salerno for the degree of .Dottore in Scienze dell'Informazione,. Salerno, Italy, Feb. 1995.

M.S. Dissertation

[40] G. Motta, .Compressione della Voce a 2.4 Kbit/s,. Dissertation presented to CEFRIEL (Politecnico di Milano) for the degree of .Master in Information Technology,. Milano, Italy, Jun. 1993.

Adopted Contributions to ITU-T Standardization Meetings

[41] G. Motta, P. Chen, Y. Ye, and M. Karczewick, .RDO quantization chroma improvement and mode-dependent directional transform,. VCEG-AI36, Jul 2008.

[42] G. Motta, Y. Ye, and M. Karczewick, .Improved Filter Selection for B-slices in E-AIF,. VCEG-AI38, Jul 2008.

[43] M. Karczewick, Y. Ye, P. Chen, and G. Motta, .Single Pass Encoding using Switched Interpolation Filters with Offset,. VCEG-AJ29, Oct 2008.

[44] M. Karczewick, Y. Ye, P. Chen, and G. Motta, .Experimental Results of Interpolation Filters on High-Definition Sequences,. VCEG-AJ30, Oct 2008.

[45] D. Rusanovskyy, K. Ugur, Y. Ye, M. Karczewick, and G. Motta, .Improvements on Enhanced Directional Adaptive Filtering (EDAIF-2),. T09-SG16-C-0125, Jan 2009.

[46] G. Motta, M. Karczewick, A. Fuldseth, G. Bjontegaard, D. Rusanovskyy, K. Ugur, and J. Lainema, .Experimental Results on the Combination of High Precision Filters,. T09-SG16-C-0126, Jan 2009.

[47] M. Karczewick, G. Motta, Y. Ye, and P. Chen, .Post-Filter with Reduced Delay Requirements,. T09-SG16-C-0128, Jan 2009.

Other Contributions to ITU-T Standardization Meetings

[48] R. Panchal, M. Karczewick, Y. Ye, G. Motta, and P. Chen, .Software platform for next generation video codec,. T09-SG16-C-0124, Jan 2009.