Microsoft Technology Licensing, LLC

Zenverge, Inc.

Andrew David Daniel

Michael Scott Fenton

John Peter Godbaz

Andrew Dean Payne

Michael Fenton

A system and method are disclosed for encoding numbers in a way that improves the accuracy and efficiency of one or more computing devices working with the transmitted/stored encoded numbers. When the encoded value is missing one or more bits after transmission or storage, the remaining bits of the encoded value will be optimally rounded up or down for the number of bits actually received.

Continuous rounding of differing bit lengths

Data compression is described herein. The encoder transmits a coded word having replacement bits, as well as a code that defines the starting location of the replacement bits in a data sample. The replacement bits may be actual bits from a selected location in the new data sample. The selected location of the replacement bits can vary from data sample to data sample. The encoder may select the location based on the most significant bit that has changed. Thus, reconstructed data will be bit-accurate from the replaced bits all the way to the highest-order bit. A limited number of key values can be transmitted losslessly. Moreover, the data compression does not need forward error correction (FEC), which is a necessary part of many lossy delta encoding schemes. Furthermore, the encoding and decoding can be done very efficiently in terms of hardware and/or software.

Data compression

Systems and methods for converting between a first color space format and a second color space format are described herein. The system receives a video cell in a first color space format comprising a plurality of pixels. Each pixel in the cell has a luminance value and a chrominance value. The luminance values of each pixel are compared to determine the brightest pixel in the received cell. The cell is downsampled to generate a second cell in a second color space format. The second cell in the second color space format comprises a downsampled chrominance value that is computed based at least in part on the chrominance value of the brightest pixel. The method advantageously reduces tinting of a high intensity pixel by the chrominance component of a neighboring low-intensity pixel.

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Palo Alto, CA, United States of America

Andrew David Daniel