Abstract
We propose a frame-based multiple-description video coder. The analysis filter bank is the extension of an orthogonal filter bank which computes the spatial polyphase components of the original video frames. The output of the filter bank is a set of video sequences which can be compressed with a standard coder. The filter bank design is carried out by taking into account two important requirements for video coding, namely, the fact that the dual synthesis filter bank is FIR, and that loss recovery does not enhance the quantization error. We give explicit results about the required properties of the redundant channel filter and the reconstruction error bounds in case of packet errors. We show that the proposed scheme has good error robustness to losses and good performance, both in terms of objective and visual quality, when compared to single description and other multiple description video coders based on spatial subsampling. PSNR gains of 5 dB or more are typical for packet loss probability as low as 5%.
Highlights
Robust transmission of multimedia streams over error-prone packet networks has become an important issue in many scenarios, including wireless communications and distributed networking
We show that the proposed scheme has good error robustness to losses and good performance, both in terms of objective and visual quality, when compared to single description and other multiple description video coders based on spatial subsampling
Forward error correction (FEC) coding across packets has been suggested for robust transmission in the presence of packet losses [1]
Summary
Robust transmission of multimedia streams over error-prone packet networks has become an important issue in many scenarios, including wireless communications and distributed networking. It has been noticed that this technique has a quick performance drop as soon as the packet loss rate exceeds the error recovery capability of the code This is due to the fact that when error correction is not possible, the received information is totally useless [2]. MD coding comprises a very wide range of techniques such as MD scalar quantization [3], pairwise correlating transforms [4], spatial and temporal downsampling [5], correlating filter banks or frames [6], and matching pursuit algorithms [7] Such approaches differ in terms of overall rate-distortion performance and complexity. Since the spatial polyphase subsampling we consider in the proposed MD video coding scheme is just a very special case of an orthogonal filter bank, we can use this result for the design of the redundant channel filter.
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