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We present new rate distortion bounds for speech coding based upon new composite source models for speech and conditional rate distortion theory. The composite source models are constructed by classifying each sentence as Voiced (V), Unvoiced (UV), Onset (ON), Hangover (H), and Silence (S). A 10th order AR model is used for the V mode, 4th order AR models are used for the ON and H modes, and the UV...
Recently we proposed a block-based conditional correlation coefficient model for natural videos in the spatial-temporal domain. The conditioning is on local texture and the optimal parameters can be calculated for a specific video with a mean absolute error (MAE) usually smaller than 5%. We used this conditional correlation model and the classic results on conditional rate distortion functions to...
We revisit the classic problem of developing a spatial correlation model for natural images and videos by proposing a conditional correlation model for relatively nearby pixels that is dependent upon five parameters. The conditioning is on local texture and the optimal parameters can be calculated for a specific image or video with a mean absolute error usually smaller than 5%. We use this conditional...
We revisit the classic problem of developing a correlation model for natural videos and studying their theoretical rate distortion bounds. We propose the correlation coefficient of two pixels in two nearby video frames as the product of the spatial correlation coefficient of these two pixels, as if they were in the same frame, and a variable to quantify the temporal correlation between these two video...
We revisit the classic problem of developing a spatial correlation model for natural images and video by proposing a conditional correlation model for relatively nearby pixels that is dependent upon four parameters. The conditioning is on local texture and the conditional correlation model is presented for each of the nine 4 by 4 intra-modes used in the AVC/H.264 video coding standard. We use this...
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