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Accurately Weighting Subbands in Temporal Wavelet Transform

Overview Wavelet-based scalable video coding is a promising technique for streaming video applications, especially the Motion Compensated Temporal Filtering (MCTF). It usually decomposes the input video frames into several subbands in temporal domain. A quantization error in each subband contributes to the overall distortion in the ultimate reconstructed video with different weights. These weighting factors play an important role in allocating bit budget to different subbands and influence the coding performance greatly. In theory, these weighting factors can be derived from the wavelet filter, but they are not match the experimental data very well. This paper first proposes a probability model to estimate the influence of different motion connections in MCTF.

Further White Paper Details
Publisher	Institute of Electrical and Electronics Engineers	File Format	PDF
Date Published	April 2006	Downloads	21
Format	White Papers
Topics	Scalability

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