By Professor David Scott Taubman

Preprints

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://dx.doi.org/10.48550/arxiv.2208.13137

Gray JL; Naman AT; Taubman DS, 2021, Welsch Based Multiview Disparity Estimation, , http://dx.doi.org/10.48550/arxiv.2110.00803

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/10.48550/arxiv.2009.01174

Kitaeff VV; Cannon A; Wicenec A; Taubman D, 2014, Astronomical Imagery: Considerations For a Contemporary Approach with JPEG2000, , http://dx.doi.org/10.48550/arxiv.1403.2801

Kitaeff S; Wicenec A; Wu C; Taubman D, 2013, Extremely Large Images: Considerations for Contemporary Approach, , http://dx.doi.org/10.48550/arxiv.1307.5123

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