Method and Apparatus to Perform Optimal Visually-Weighed Quantization of Time-Varying Visual Sequences in Transform Space
a transform space and visual sequence technology, applied in the field of compressing moving video data, can solve the problems of feedback processing step error, compressed data set or stream error, and limited use of human visual model in spatial domain, and achieve the effect of reducing the resolution of transformed data
Inactive Publication Date: 2014-11-06
ZPEG INC
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Benefits of technology
The invention provides a way to remove unnecessary visual information from video images by using a scoring system that calculates the importance of each block of data. This helps to make the video images more efficient and easier to analyze. The method also takes into account the sensitivity of the human eye to different frequencies in the video images, to make the video look better and be easier to watch. The patent also focuses on using the DCT as the decorrelating transform.
Problems solved by technology
The use of this Human Visual Model is again limited to its application in the spatial domain.
Therefore a feedback processing step Error!
However, the wavelet does not decorrelate video, and thus optimal quantizers based upon a Human Visual Model cannot be calculated.
Method used
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[0040]As illustrated in FIG. 5, a block comprising a plurality of individual frames of digitized video Error! Reference source not found 010 is transformed via a three-dimensional DCT Error! Reference source not found 020 and then quantized Error! Reference source not found 030 to remove imperceptible visual data. An entropy removal process Error! Reference source not found 040 actually compresses the information. The decompression process follows an equivalent set of steps in reverse, when a data set or data stream containing the compressed data Error! Reference source not found 210 is decompressed Error! Reference source not found 110 by reversing said entropy removal process, followed by a de-quantization step Error! Reference source not found 120, an inverse DCT step Error! Reference source not found 130, and a resulting block of frames Error! Reference source not found 140 may be displayed or otherwise processed. Said quantizer process Error! Reference source not found 030 and ...
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Pure transform-based technologies, such as the DCT or wavelets, can leverage a mathematical model based on few or one parameters to generate the expected distribution of the transform components' energy, and generate ideal entropy removal configuration data continuously responsive to changes in video behavior. Construction of successive-refinement streams is supported by this technology, permitting response to changing channel conditions. Lossless compression is also supported by this process. The embodiment described herein uses a video correlation model to develop optimal entropy removal tables and optimal transmission sequence based on a combination of descriptive characteristics of the video source, enabling independent derivation of said optimal entropy removal tables and optimal transmission sequence in both encoder and decoder sides of the compression and playback process.
Description
PARENT CASE TEXT[0001]This application claims benefit of a prior filed U.S. provisional application, Ser. No. 61 / 818,419, filed May 1, 2013.REFERENCES[0002]ISO / IEC 15444-1:2000[0003]Information technology—JPEG 2000 image coding system—Part 1: Core coding system[0004]US Patent Documents[0005]U.S. Pat. No. 6,239,811 Westwater[0006]Method and apparatus to measure relative visibility of time-varying data in transform space[0007]U.S. Pat. No. 8,422,546FEDERALLY SPONSORED RESEARCH[0008]Not Applicable.BACKGROUND[0009]1. Field of Invention[0010]The present invention relates generally to compression of moving video data, and more particularly to the application of quantization of the three-dimensional Discrete Cosine Transform (DCT) representation of moving video data for the purposes of removing visually redundant information.[0011]2. Description of Prior Art[0012]It is well established in the literature of the field of video compression that video can be well-modeled as a stationary Markov...
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IPC IPC(8): H04N19/625H04N19/91H04N19/63
CPCH04N19/00812H04N19/00818H04N19/00951H04N19/625H04N19/124H04N19/129H04N19/14H04N19/176H04N19/18H04N19/182H04N19/63H04N19/91
Inventor WESTWATER, RAYMOND JOHN
Owner ZPEG INC