Methods and apparatus for adaptive motion vector candidate ordering for video encoding and decoding
Methods and apparatus are provided for adaptive motion vector candidate ordering for video encoding and decoding. An apparatus includes a video encoder ( 100 ) for encoding a block in a picture by selecting an order of motion vector predictor candidates for the block responsive to a characteristic available at both the video encoder and a corresponding decoder. The characteristic excludes a mode in which the block is partitioned.
1. An apparatus, comprising:
a video encoder for encoding a block in a picture by selecting an order of motion vector predictor candidates for the block, based on common information available at both an encoder and a corresponding decoder and wherein said common information is not transmitted in an encoded bitstream,
wherein said common information comprises a reference frame index of the motion vector predictor candidates for the block, not derived based on partitioning of the block; and
wherein the motion vector predictor candidates are from spatial or temporal blocks and the order of motion vector predictor candidates is determined based on a difference between a reference frame index of a motion vector predictor candidate and a reference frame index of the block.
2. The apparatus of claim 1 , wherein the common information further comprises a motion vector candidate selection frequency in a number of already encoded blocks.
3. The apparatus of claim 2 , wherein a category classification is performed to determine one of a plurality of categories to which the block belongs, and the motion vector candidate selection frequency is determined from the number of already encoded blocks that belong to the same one of the plurality of categories as the block.
4. The apparatus of claim 3 , wherein a criterion for the category classification is a block prediction type.
5. A method, comprising:
encoding a block in a picture by selecting an order of motion vector predictor candidates for the block, based on common information available at both an encoder and a corresponding decoder and wherein said common information is not transmitted in an encoded bitstream,
wherein said common information comprises a reference frame index of the motion vector predictor candidates for the block, not derived based on partitioning of the block; and
wherein the motion vector predictor candidates are from spatial or temporal blocks and the order of motion vector predictor candidates is determined based on a difference between a reference frame index of a motion vector predictor candidate and a reference frame index of the block.
6. The method of claim 5 , wherein the common information further comprises a motion vector candidate selection frequency in a number of already encoded blocks.
7. The method of claim 6 , wherein a category classification is performed to determine one of a plurality of categories to which the block belongs, and the motion vector candidate selection frequency is determined from the number of already encoded blocks that belong to the same one of the plurality of categories as the block.
8. The method of claim 7 , wherein a criterion for the category classification is a block prediction type.
9. An apparatus, comprising:
a video decoder for decoding a block in a picture by selecting an order of motion vector predictor candidates for the block, based on common information available at both an encoder and a corresponding decoder and wherein said common information is not in a received bitstream,
wherein said common information comprises a reference frame index of the motion vector predictor candidates for the block, not derived based on partitioning of the block; and
wherein the motion vector predictor candidates are from spatial or temporal blocks and the order of motion vector predictors candidates is determined based on a difference between a reference frame index of a motion vector predictor candidate and a reference frame index of the block.
10. The apparatus of claim 9 , wherein the common information further comprises a motion vector candidate selection frequency in a number of already encoded blocks.
11. The apparatus of claim 10 , wherein a category classification is performed to determine one of a plurality of categories to which the block belongs, and the motion vector candidate selection frequency is determined from the number of already encoded blocks that belong to the same one of the plurality of categories as the block.
12. The apparatus of claim 11 , wherein a criterion for the category classification is a block prediction type.
13. A method, comprising:
decoding a block in a picture by selecting an order of motion vector predictor candidates for the block, based on common information available at both an encoder and a corresponding decoder and wherein said common information is not in a received bitstream,
wherein said common information comprises a reference frame index of the motion vector predictor candidates for the blocks, not derived based on partitioning of the block; and
wherein the motion vector predictor candidates are from spatial or temporal blocks and the order of motion vector predictors candidates is determined based on a difference between a reference frame index of a motion vector predictor candidate and a reference frame index of the block.
14. The method of claim 13 , wherein the common information further comprises a motion vector candidate selection frequency in a number of already encoded blocks.
15. The method of claim 14 , wherein a category classification is performed to determine one of a plurality of categories to which the block belongs, and the motion vector candidate selection frequency is determined from the number of already encoded blocks that belong to the same one of the plurality of categories as the block.
16. The method of claim 15 , wherein a criterion for the category classification is a block prediction type.
17. A non-transitory computer readable storage media having instructions stored thereupon that when executed on a processor, cause the processor to perform the method of claim 13 .
18. The non-transitory computer readable storage media of claim 17 , wherein the common information further comprises a motion vector candidate selection frequency in a number of already encoded blocks.
19. The non-transitory computer readable storage media of claim 18 , wherein a category classification is performed to determine one of a plurality of categories to which the block belongs, and the motion vector candidate selection frequency is determined from the number of already encoded blocks that belong to the same one of the plurality of categories as the block.
20. The non-transitory computer readable storage media of claim 19 , wherein a criterion for the category classification is a block prediction type.