By Raymond Westwater
ISBN-10: 0792397878
ISBN-13: 9780792397878
Real-Time Video Compression: recommendations and Algorithms introduces the XYZ video compression process, 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 line with movement estimation. Their encoders are even more complicated than decoders. The XYZ strategy makes use of a symmetric set of rules, in line with the three-d Discrete Cosine remodel (3D-DCT). 3D-DCT used to be initially recommended for compression approximately 20 years in the past; notwithstanding, at the moment the computational complexity of the set of rules used to be too excessive, it required huge buffer reminiscence, and was once no longer as potent as movement estimation. we now have resurrected the 3D-DCT-based video compression set of rules by way of constructing numerous improvements to the unique set of rules. those improvements make the set of rules possible for real-time video compression in functions equivalent to video-on-demand, interactive multimedia, and videoconferencing. The tested effects, awarded during this ebook, recommend that the XYZ video compression procedure is not just a quick set of rules, but additionally offers enhanced compression ratios and top of the range of the video in comparison to current commonplace suggestions, equivalent to MPEG and H.261/H.263. The splendor of the XYZ procedure is in its simplicity, which results in low-cost VLSI implementation of any XYZ codec. Real-Time Video Compression: options and Algorithms should be used as a textual content for graduate scholars and researchers operating within the zone of real-time video compression. furthermore, the e-book serves as a vital reference for execs within the box.
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Extra info for Real-Time Video Compression: Techniques and Algorithms (The Springer International Series in Engineering and Computer Science)
Example text
This binary sequence represents the compressed 8x8x8 block. 3 illustrates an example of encoding a video cube (eight frames of 8x8 pixels) using the XYZ compression algorithm. 4b presents the quantized coefficients. Note that the largest quantized coefficient is Fq(0,0,0), which carries the crucial information on the video cube, while the majority of quantized coefficients are zero. 5. 5 Block diagram of the XYZ decompression algorithm. 3 An example of encoding an 8x8x8 video cube - original pixels in video cube.
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.
A) DCT coefficients, after 3D DCT, and (b) quantized DCT coefficients. Page 35 The three-dimensional inverse DCT (3-D IDCT) is implemented on the dequantized coefficients in order to convert video from the frequency domain into the spatial/temporal domain. The 3-D IDCT equation is defined as: where f'(x,y,z) is the value of a pixel in pixel space. After the pixels have been transformed in spatial/temporal representation, they are shifted back to the original range [0,255]. Finally, the video cubes are reorganized into frames of video data ready for playback.