US Patent Application 18346697. IMAGE ENCODING AND DECODING METHOD USING BIDIRECTIONAL PREDICTION, AND IMAGE ENCODING AND DECODING APPARATUS simplified abstract

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IMAGE ENCODING AND DECODING METHOD USING BIDIRECTIONAL PREDICTION, AND IMAGE ENCODING AND DECODING APPARATUS

Organization Name

Samsung Electronics Co., Ltd.


Inventor(s)

Seungsoo Jeong of Suwon-si (KR)


Gahyun Ryu of Suwon-si (KR)


Minsoo Park of Suwon-si (KR)


Minwoo Park of Suwon-si (KR)


Kiho Choi of Suwon-si (KR)


Narae Choi of Suwon-si (KR)


Woongil Choi of Suwon-si (KR)


Anish Tamse of Suwon-si (KR)


Yinji Piao of Suwon-si (KR)


IMAGE ENCODING AND DECODING METHOD USING BIDIRECTIONAL PREDICTION, AND IMAGE ENCODING AND DECODING APPARATUS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18346697 titled 'IMAGE ENCODING AND DECODING METHOD USING BIDIRECTIONAL PREDICTION, AND IMAGE ENCODING AND DECODING APPARATUS

Simplified Explanation

The patent application describes an image decoding method that involves bi-directional prediction of a current block using two reference blocks.

  • The method obtains weight information from a bitstream, which is used to combine the first and second reference blocks.
  • Entropy decoding is performed on the weight information to obtain a weight index.
  • The first reference block is combined with the second reference block based on a candidate value indicated by the weight index.
  • The current block is then reconstructed based on the combined result.
  • The weight index is entropy-decoded using a context model for the first binary value, while the remaining binary value is entropy-decoded using a bypass method.


Original Abstract Submitted

Disclosed is an image decoding method according to an embodiment, the image decoding method including: obtaining a first reference block and a second reference block, for bi-directional prediction of a current block; obtaining, from a bitstream, weight information for combining the first reference block with the second reference block; performing entropy decoding on the weight information to obtain a weight index; combining the first reference block with the second reference block according to a candidate value indicated by the weight index among candidate values included in a weight candidate group; and reconstructing the current block based on a result of the combining, wherein a first binary value corresponding to the weight index is entropy-decoded based on a context model, and the remaining binary value corresponding to the weight index is entropy-decoded by a bypass method.