Derivation method and apparatuses with candidate motion vectors

A moving picture decoding method for decoding a current block from among a plurality of blocks in a picture, the moving picture decoding method comprising:

• generating a motion vector predictor candidate list having a fixed size, the motion vector predictor candidate list including a first candidate and a second candidate, the generating including:
• deriving the first candidate from a first motion vector that has been used to decode a first block, the first block being adjacent to the current block;
• deriving the second candidate that has a second motion vector that is a non-zero value vector based on an X-Y axis of a fixed offset value in a frame header, the second motion vector not being derived by decoding a block adjacent to the current block and the fixed offset value being a non-zero value that is commonly used for the plurality of blocks in the picture;
• selecting a candidate from a plurality of candidates in the motion vector predictor candidate list;
• and
• decoding, by at least one of a processor or a circuit, the current block using the selected candidate.

A non-transitory computer-readable medium including a program for decoding a current block from among a plurality of blocks in a picture, the program, when executed by a processor, causing the processor to perform processes, the processes comprising:

• generating a fixed size of a motion vector predictor candidate list, the motion vector predictor candidate list including a first candidate and a second candidate, the generating including:
• deriving a first candidate from a first motion vector that has been used to decode a first block, the first block being adjacent to the current block;
• determining whether to derive a second motion vector that is a non-zero value vector based on an X-Y axis of a fixed offset value in a frame header, the second motion vector not being derived by decoding a block adjacent to the current block and the fixed offset value being a non-zero value that is commonly used for the plurality of blocks in the picture;
• selecting a candidate from a plurality of candidates in the motion vector predictor candidate list;
• and
• decoding the current block using the selected candidate.