In this paper, a digital video post production system "DPPS" is proposed. DPPS is aiming at providing tools for making visual presentation efficiently. The major feature of the DPPS is, high-quality video editing, high speed Computer Graphics, easy visual effecting and post recording. The system has been realized on FM-TOWNS attached by parallel processors for visual processing and Paralleled hard-disk Systems for temporally digital storage.
This paper presents a new region segmentation coding based on HVC color space. To segment an image into several characteristic regions, we adopt the segmentation by K-mean clustering algorithm in HVC color space and region merging process based on the measure of Godlove's color difference. The region segmentation coding scheme are as follows; 1) We encode the contour information of the region by using the chain-code. 2) Hue signals within one region are replaced by one representative Hue signal. 3) To encode V signals, we adopt the adaptive DCT coding scheme. 4) The Chroma signal within one region is approximated by the two-dimensional polynomial function. We encode the polynomial coefficients for each region. A satisfactory quality images are obtained by the following coding rate : 0.6 - 2.0[bit/pixel].
This paper presents a Component-Interlaced Vector Quantization (CIVQ) scheme for color image data compression. The CIVQ utilizes the inter-component correlations and local color features of image signals to reduce the computational complexity and to improve the coding performance. The three k-dimensional component vectors of a color image are subsampled and spatially interlaced into a single k-dimensional vector. And then, vector quantization is performed on this newly formed vector set. The receiver directly obtains the three quantized component vectors from the 3k-dimensional codebook which is designed by using a nonlinear interpolative technique. Two CIVQ experiments are conducted by using the mean-separated VQ and predictive VQ, respectively. Meanwhile, two color coordinate systems, RGB and YUV, are considered as well. The computer simulation results show that, in the case of k=16, a good quality of the reconstructed image can be achieved at 0.5 bit per color pixel.