Vertex Data Compression through Vector Quantization
IEEE Transactions on Visualization and Computer Graphics
Robust Predictive Vector Quantizer Design
DCC '01 Proceedings of the Data Compression Conference
Journal of Visual Communication and Image Representation
Distributed predictive coding for spatio-temporally correlated sources
IEEE Transactions on Signal Processing
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The basic vector quantization (VQ) technique employed in video coding belongs to the category of predictive vector quantization (PVQ), as it involves quantization of the (motion compensated) frame prediction error. It is well known that the design of PVQ suffers from fundamental difficulties, due to the prediction loop, which have an impact on the convergence and the stability of the design procedure. We propose an approach to PVQ design that enjoys the stability of open-loop design while it ensures ultimate optimization of the closed-loop system. The method is derived for general predictive quantization, and we demonstrate it on video compression at low bit rates, where it provides substantial improvement over standard open and closed loop design techniques. Further, the approach outperforms standard DCT-based video coding