By Raymond Westwater
Real-Time Video Compression: recommendations and Algorithms introduces the XYZ video compression procedure, which operates in 3 dimensions, taking out the overhead of movement estimation. First, video compression criteria, MPEG and H.261/H.263, are defined. They either use uneven compression algorithms, in keeping with movement estimation. Their encoders are even more complicated than decoders. The XYZ method makes use of a symmetric set of rules, in keeping with the 3-dimensional Discrete Cosine remodel (3D-DCT). 3D-DCT was once initially urged for compression approximately 20 years in the past; although, at the moment the computational complexity of the set of rules used to be too excessive, it required huge buffer reminiscence, and used to be no longer as powerful as movement estimation. we've got resurrected the 3D-DCT-based video compression set of rules by means of constructing numerous improvements to the unique set of rules. those improvements make the set of rules possible for real-time video compression in purposes equivalent to video-on-demand, interactive multimedia, and videoconferencing. The established effects, offered during this ebook, recommend that the XYZ video compression strategy isn't just a quick set of rules, but in addition presents more suitable compression ratios and prime quality of the video in comparison to present general thoughts, comparable to MPEG and H.261/H.263. The attractiveness of the XYZ procedure is in its simplicity, which results in low-cost VLSI implementation of any XYZ codec. Real-Time Video Compression: suggestions and Algorithms should be used as a textual content for graduate scholars and researchers operating within the region of real-time video compression. furthermore, the booklet serves as a vital reference for pros within the box.
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Additional info for Real-Time Video Compression: Techniques and Algorithms (The Springer International Series in Engineering and Computer Science)
Page 54 The fastest known Fourier-based 1-D DCT requires 13 multiplications. Applying this fast 1-D DCT separately to the 3-D case will require 3x64x13 multiplications, and 3x64x29 additions: 2,496 multiplications and 5,568 additions. However, the Fourier-based 1-D DCT uses 5 multiplications to compute the (abbreviated) Fourier transform, and 8 multiplications to scale the FFT into the DCT. These scaling multiplications can be folded into the quantizing phase. This results in a total of 3x64x5 multiplications: 960 multiplications and 5,568 additions.
324-compliant multimedia system. 261 video codecs. 263 algorithm three additional formats are specified: SQCIF, 4CIF, and 16CIF. The Common Intermediate Format (CIF) is a noninterlaced format, based on 352x288 pixels per frame at 30 frames per second. These values represent half the active lines of 625/25 television signal and the picture rate of a 525/30 NTSC signal. Therefore, 625/25 systems need only to perform a picture rate conversion, while NTSC systems need to perform only a line-number conversion.
3. (a) DCT coefficients after dequantization, (b) Decompressed pixels after inverse 3D DCT. 1— Behavior of the DCT Moving continuous tone images are represented as a sequence of ''frames". A frame is a two-dimensional array of pixel values in one "plane" for black and white images, or more planes for color images. We model the signal being sampled (a sequence of pixel values forming a row, column, or time-varying sequence) as a random variable with a mean of zero. 1, of pixel x1 given the value of pixel x0 has been shown empirically to be an exponential (laplacian) distribution [RY90]: Intuitively, this means that if pixel x0 is red, there is a great likelihood that pixel x1 is red.
Real-Time Video Compression: Techniques and Algorithms (The Springer International Series in Engineering and Computer Science) by Raymond Westwater