By Professor David Scott Taubman

Conference Papers

Gupta AK; Taubman D; Nooshabadi S, 'Near-Optimal Low-Cost Distortion Estimation Technique for JPEG2000 Encoder', in 2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, IEEE, presented at 2006 IEEE International Conference on Acoustics Speed and Signal Processing, http://dx.doi.org/10.1109/icassp.2006.1660813

Taubman D; Zakhor A, 'Orientation adaptive subband coding of images', in 1993 IEEE International Symposium on Circuits and Systems, IEEE, pp. 271 - 274, presented at 1993 IEEE International Symposium on Circuits and Systems, http://dx.doi.org/10.1109/iscas.1993.393710

Conference Proceedings (Editor of)

Zhao Y; Kong X; Taubman D, 2017, 'Preface', Vol. 10666 LNCS

Zhao Y; Kong X; Taubman D, 2017, 'Preface', Vol. 10668 LNCS

Zhao Y; Kong X; Taubman D, 2017, 'Preface', Vol. 10667 LNCS

Reports

Ordentlich E; Taubman D; Weinberger M; Seroussi G; Marcellin M, 1999, Memory efficient scalable line-based image coding

Patents

Taubman DS; Naman AT, 2013, Method and Apparatus for Communicating and Recovering Motion Information, Patent No. PCT/AU2012/001078

Working Papers

Ruefenacht D; Naman A; Mathew RK; Taubman D, 2018, wg1m78051-REQ-JPEG Pleno - UNSW HDCA Proposal Description (Updated), http://dx.doi.org10.26190/unsworks/26482

Preprints

Gray JL; Naman AT; Taubman DS, 2024, Multi-view Disparity Estimation Using a Novel Gradient Consistency Model, http://arxiv.org/abs/2405.17029v1

Li X; Naman A; Taubman D, 2024, Neural Network Assisted Lifting Steps For Improved Fully Scalable Lossy Image Compression in JPEG 2000, http://arxiv.org/abs/2403.01647v1

Li X; Naman A; Taubman D, 2024, Exploration of Learned Lifting-Based Transform Structures for Fully Scalable and Accessible Wavelet-Like Image Compression, http://arxiv.org/abs/2402.18761v1

Jayasooriya K; Jenner S; Marasinghe P; Senanayake U; Saadat H; Taubman D; Ragel R; Gamaarachchi H; Deveson I, 2024, A new compression strategy to reduce the size of nanopore sequencing data, http://dx.doi.org/10.1101/2024.10.02.616377

Karmakar P; Murshed M; Paul M; Taubman D, 2023, An efficient video coding with object-bounded motion estimation using cuboid-based variable-sized block partitioning, http://dx.doi.org/10.21203/rs.3.rs-3302367/v1

Karmakar P; Murshed M; Paul M; Taubman D, 2022, Efficient Motion Modelling with Variable-sized blocks from Hierarchical Cuboidal Partitioning, http://arxiv.org/abs/2208.13137v1

Gray JL; Naman AT; Taubman DS, 2021, Welsch Based Multiview Disparity Estimation, http://dx.doi.org/10.1109/ICIP42928.2021.9506766

Ahmmed A; Paul M; Murshed M; Taubman D, 2021, Human-Machine Collaborative Video Coding Through Cuboidal Partitioning, http://dx.doi.org/10.31224/osf.io/v7y2r

Ahmmed A; Paul M; Murshed M; Taubman D, 2021, Human-Machine Collaborative Video Coding Through Cuboidal Partitioning, http://dx.doi.org/10.48550/arxiv.2102.01307

Young SI; Zhe W; Taubman D; Girod B, 2020, Transform Quantization for CNN (Convolutional Neural Network) Compression, http://dx.doi.org/10.1109/TPAMI.2021.3084839

Kitaeff VV; Cannon A; Wicenec A; Taubman D, 2014, Astronomical Imagery: Considerations For a Contemporary Approach with JPEG2000, http://arxiv.org/abs/1403.2801v4

Kitaeff S; Wicenec A; Wu C; Taubman D, 2013, Extremely Large Images: Considerations for Contemporary Approach, http://arxiv.org/abs/1307.5123v1

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