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Next: Channel Matched Source Quantization Up: Channel-matched Quantization, Rate Control Previous: Introduction

Quantizer Design

 The proposed H.261 based video codec is shown in Figure 2. The adaptive quantizer is implemented using a VSLA. This will be discussed subsequently. To prevent synchronization loss due to error propagation in the variable length coded transmitted data a error-resilience code called FEREC [10] is used. We now discuss a channel matched source quantization scheme. This is similar to the one proposed for the transmission of JPEG compressed images [10]. The video frames are categorized into two classes, namely, the intra frame or the I-frame and the predicted frame or the P-frame. One in every 32 frames are intra frame coded. The I-frame coding is similar to the JPEG still image coding which consists of the discrete cosine transform (DCT), quantization and Huffman encoding. The P-frame coding is based on DPCM and motion estimation. I-frames are coded without reference to the preceding frames; whereas the P-frames are coded with respect to the temporally closest preceding I-frame. In P-frame coding the best match for each macroblock of the current frame is found in a search area in the previous intra frame using a block matching technique. The two macroblocks are subtracted and the difference is transformed using DCT, quantized and Huffman encoded. Motion estimation is done based on an exhaustive search based block matching technique [4]. The quantization of the DCT coefficients is implemented based on scaling each coefficient by an entry in the quantization table [1]. We assume that the same quantization table is used for I and P frames in this project for simplicity. However, the proposed joint rate control and channel estimation is independent of this assumption. The quantization table for $8\times 8$ DCT blocks used for the simulations is shown in Figure 3. Clearly, the DC coefficient and the low frequency AC coefficients are finely quantized. The high frequency AC coefficients which have less energy are coarsely quantized.


 
Figure 4:   A typical Q-C curve
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