INTER PREDICTION IN EXPONENTIAL PARTITIONING

1 . A decoder, the decoder comprising circuitry configured to:

receive a bitstream;

partition a current block via an exponential partitioning mode into a first region and a second region;

determine a motion vector associated with a region of the first region or the second region, wherein determining includes constructing a candidate list; and

decode the current block using the determined motion vector.

2 . The decoder of claim 1 , wherein the exponential partitioning mode further comprises a geometric partitioning mode.

3 . The decoder of claim 1 , further configured to determine that a merge mode is enabled for the first region.

4 . The decoder of claim 1 , further configured to reconstruct pixel data of the current block, the first region and the second region being non-rectangular.

5 . The decoder of claim 1 , wherein the exponential partitioning mode is available for block sizes greater or equal to 8×8 luma samples.

6 . The decoder of claim 1 , further comprising:

an entropy decoder processor configured to receive the bitstream and decode the bitstream into quantized coefficients;

an inverse quantization and inverse transformation processor configured to process the quantized coefficients including performing an inverse discrete cosine transform;

a deblocking filter;

a frame buffer; and

an intra prediction processor.

7 . The decoder of claim 1 , wherein the current block forms part of a quadtree plus binary decision tree.

8 . The decoder of claim 7 , wherein the current block is a non-leaf node of the quadtree plus binary decision tree.

9 . The decoder of claim 1 , wherein the current block is a coding tree unit;

10 . The decoder of claim 1 , wherein the current block is a coding unit.

11 . A method, the method comprising:

receiving, by a decoder, a bitstream

partitioning, by the decoder, a current block via an exponential partitioning mode into a first region and a second region;

determining, by the decoder, a motion vector associated with a region of the first region or the second region, the determining including constructing a candidate list; and

decoding, by the decoder, the current block using the determined motion vector.

12 . The method of claim 11 , wherein the exponential partitioning mode further comprises a geometric partitioning mode.

13 . The method of claim 11 , further comprising determining that a merge mode or advanced motion vector prediction mode is enabled for the first region.

14 . The method of claim 11 , further comprising reconstructing pixel data of the current block, the first region and the second region being non-rectangular.

15 . The method of claim 11 , wherein the exponential partitioning mode is available for block sizes greater or equal to 8×8 luma samples.

16 . The method of claim 11 , wherein the decoder further comprises:

an entropy decoder processor configured to receive the bitstream and decode the bitstream into quantized coefficients;

an inverse quantization and inverse transformation processor configured to process the quantized coefficients including performing an inverse discrete cosine transform;

a deblocking filter;

a frame buffer; and

an intra prediction processor.

17 . The method of claim 11 , wherein the current block forms part of a quadtree plus binary decision tree.

18 . The method of claim 17 , wherein the current block is a non-leaf node of the quadtree plus binary decision tree.

19 . The method of claim 11 , wherein the current block is a coding tree unit

20 . The method of claim 11 , wherein the current block is a coding unit.