18493404. PARALLEL ENTROPY CODING simplified abstract (Huawei Technologies Co., Ltd.)

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PARALLEL ENTROPY CODING

Organization Name

Huawei Technologies Co., Ltd.

Inventor(s)

Maxim Borisovitch Sychev of Moscow (RU)

Andrey Soroka of Munich (DE)

Elena Alexandrovna Alshina of Munich (DE)

Sergey Yurievich Ikonin of Moscow (RU)

PARALLEL ENTROPY CODING - A simplified explanation of the abstract

This abstract first appeared for US patent application 18493404 titled 'PARALLEL ENTROPY CODING

Simplified Explanation

Methods and apparatuses are described to encode data into a bitstream and to decode data from a bitstream efficiently, reducing the amount of bits within the bitstream.

  • Parallel encoding and decoding are performed efficiently.
  • Padding of substreams is avoided, reducing the amount of bits within the bitstream.
  • Input data channels are multiplexed and encoded into substreams.
  • Shuffling methods are applied during multiplexing to obtain substreams of more uniform lengths.
  • The amount of bits within the substream is further reduced by including only the relevant significant bits within the trailing bits of the encoding process.
      1. Potential Applications
  • Data compression in communication systems.
  • Multimedia streaming.
  • Image and video encoding.
      1. Problems Solved
  • Inefficient encoding and decoding processes.
  • Padding of substreams leading to increased bitstream size.
  • Uneven distribution of bits within substreams.
      1. Benefits
  • Efficient parallel encoding and decoding.
  • Reduced bitstream size.
  • Improved data compression.
  • Enhanced multimedia streaming capabilities.


Original Abstract Submitted

Methods and apparatuses are described to encoded data into a bitstream and to decode data from a bitstream. The method is able to perform parallel encoding and decoding efficiently and avoids padding of substreams thus reducing the amount of bits within the bitstream. Portions of input data channels are multiplexed and encoded into substreams. During the multiplexing shuffling methods are applied in order to obtain substreams of more uniform lengths. The amount of bits within the substream may be further reduced by including only the relevant significant bits within the trailing bits of the encoding process.