24 June 2005 PCA/waveform hybrid coding for low bit rate transmission of face sequences
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Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59603G (2005) https://doi.org/10.1117/12.631643
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China
Abstract
A novel model based and waveform based hybrid coding system aimed at very low bit rate coding of face images in video sequences is presented. The well known Principal Component Analysis (PCA) concept which is widely used for face recognition systems is adopted for model based coding, with modifications to cope with video compression. Model failures and unknown objects are handled by waveform based coding employing conventional prediction/transform block-based coding scheme. The two coding modes are combined under rate-distortion framework, where Lagrangian cost function is used to determine the most efficient prediction for each block. Simulations show that the system can achieve high compression ratios while maintaining the robustness and generality, which indicates its potential use for videophone application.
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Xuejun Hu, K. R. Rao, "PCA/waveform hybrid coding for low bit rate transmission of face sequences", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59603G (24 June 2005); doi: 10.1117/12.631643; https://doi.org/10.1117/12.631643
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