Evaluation of DWT and DCT for irregular mesh-based motion compensation in predictive video coding

Martina Eckert; Damian Ruiz; Jose Ignacio Ronda; Fernando Jaureguizar; Narciso N. Garcia

doi:10.1117/12.386579

30 May 2000 Evaluation of DWT and DCT for irregular mesh-based motion compensation in predictive video coding

Martina Eckert, Damian Ruiz, Jose Ignacio Ronda, Fernando Jaureguizar, Narciso N. Garcia

Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386579
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia

Abstract

While traditional video coding standards employ block-based processing (regarding motion estimation, motion compensation and DCT) which produce undesired artifacts, the most recent developments (H.263, MPEG) include first improvements in motion compensation (such as overlapped block motion compensation), which constitute a first step to avoid these limitations. Mesh-based motion compensation represents a further progress in this area as it treats the motion information in a continuous way over the whole frame. We investigated in these methods and have found that especially triangle meshes over irregularly spread node points lead to very good results. We presented first results of the compensation step, here we will show results of the complete coding scheme for rectangular frames. As the insertion of the transform/coding part raised the problem of which type of transformation should be employed to code the error image efficiently and without disturbing the gains of the compensation step, we here compare DCT and DWT (discrete wavelet transform) with different filter types, to find out which one is most useful to apply with mesh-based motion compensation.

Citation Download Citation

Martina Eckert, Damian Ruiz, Jose Ignacio Ronda, Fernando Jaureguizar, and Narciso N. Garcia "Evaluation of DWT and DCT for irregular mesh-based motion compensation in predictive video coding", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386579

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