Google Inc.

Stanislav Vitvitskyy

Jingning Han

Ching-Han Chiang

Dake He

Yaowu Xu

Adrian Grange

Aki Kuusela

Asymmetric probability model updating and entropy coding includes using different numbers of bits for storing probabilities of a probability model and for entropy coding symbols using that probability model. The probabilities of a probability model are updated according to values of syntax elements decoded from a bitstream. The probabilities are associated with possible values of the syntax elements and are stored using a first bit precision. Based on the updated probabilities, a second bit precision to use to entropy decode the syntax elements is determined. The second bit precision is less than the first bit precision. The syntax elements are then entropy decoded using the second bit precision, such as to produce quantized transform coefficients, which may be further processed and output to an output video stream. Using the first bit precision to entropy decode the syntax elements results in a lower compression throughput than using the second bit precision.

Asymmetric probability model update and entropy coding precision

A first interpolation filter is selected for a first direction of the prediction block, and a second interpolation filter is selected for a second direction of the prediction block. The first interpolation filter has a first number of taps and the second interpolation filter has a second number of taps. The second interpolation filter is set to an interpolation filter having a third number of taps in response to determining that the first number of taps is greater than a threshold number of taps and the second number of taps is greater than a threshold number of taps. The third number of taps is smaller than or equal to the threshold number of taps. The prediction block is generated using the first interpolation filter and the second interpolation filter.

Single direction long interpolation filter

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Mountain View, CA, United States of America

Stanislav Vitvitskyy