Coding tree partitioning
To encode a picture, a coding tree unit (CTU) in the picture is partitioned by a quadtree structure, and the quadtree leaf nodes can be further partitioned by a multi-type tree (MTT) structure. To increase the set of reachable coding tree nodes and leaves, we propose to increase the maximum allowed MTT hierarchy depth to be twice the difference between the CTU size and the minimum allowed size for a CU. The maximum allowed MTT hierarchy depth can be specified for all QT levels in order to provide more flexibility in the split tree. Alternatively, only two levels of maximum allowed MTT depth are signaled: one when QT splits are allowed, and another one when no more QT splits are allowed. In addition, an upper bound can be set for the minimum allowed coding block size, based on the coding tree unit size or the maximum allowed transform size.
1. A method, comprising:
decoding a value indicating a maximum allowed depth of a tree structure, wherein said maximum allowed depth is bounded by twice the difference of a first value and a second value, said first value indicating a size of a largest allowed coding block, and said second value indicating a minimum allowed coding block size; and
partitioning a node representing said largest allowed coding block or a partition of said largest allowed coding block, by said tree structure into coding blocks, wherein said tree structure uses a quadtree followed by at least one of horizontal binary splitting, vertical binary splitting, horizontal ternary splitting, and vertical ternary splitting.
2. The method of claim 1 , further comprising:
partitioning said largest allowed coding block by a quadtree structure into quadtree leaf nodes, said quadtree leaf nodes including said node representing said partition of said largest allowed coding block.
3. The method of claim 1 , wherein said first value corresponds to a base-2 logarithm of said size of said largest allowed coding block.
4. The method of claim 1 , wherein said second value corresponds to a base-2 logarithm of said minimum allowed coding block size.
5. An apparatus, comprising at least a memory and one or more processors, wherein said one or more processors are configured to:
decode a value indicating a maximum allowed depth of a tree structure, wherein said maximum allowed depth is bounded by twice the difference of a first value and a second value, said first value indicating a size of a largest allowed coding block, and said second value indicating a minimum allowed coding block size; and
partition a node representing said largest allowed coding block or a partition of said largest allowed coding block, by said tree structure into coding blocks, wherein said tree structure uses a quadtree followed by at least one of horizontal binary splitting, vertical binary splitting, horizontal ternary splitting, and vertical ternary splitting.
6. The apparatus of claim 5 , wherein said one or more processors are further configured to:
partition said largest allowed coding block by a quadtree structure into quadtree leaf nodes, said quadtree leaf nodes including said node representing said partition of said largest allowed coding block.
7. The apparatus of claim 5 , wherein said first value corresponds to a base-2 logarithm of said size of said largest allowed coding block.
8. The apparatus of claim 5 , wherein said second value corresponds to a base-2 logarithm of said minimum allowed coding block size.
9. A method, comprising:
encoding a value indicating a maximum allowed depth of a tree structure, wherein said maximum allowed depth is bounded by twice the difference of a first value and a second value, said first value indicating a size of a largest allowed coding block, and said second value indicating a minimum allowed coding block size; and
partitioning a node representing said largest allowed coding block or a partition of said largest allowed coding block, by said tree structure into coding blocks, wherein said tree structure uses a quadtree followed by at least one of horizontal binary splitting, vertical binary splitting, horizontal ternary splitting, and vertical ternary splitting.
10. The method of claim 9 , further comprising:
partitioning said largest allowed coding block by a quadtree structure into quadtree leaf nodes, said quadtree leaf nodes including said node representing said partition of said largest allowed coding block.
11. The method of claim 9 , wherein said first value corresponds to a base-2 logarithm of said size of said largest allowed coding block.
12. The method of claim 9 , wherein said second value corresponds to a base-2 logarithm of said minimum allowed coding block size.
13. An apparatus, comprising at least a memory and one or more processors, wherein said one or more processors are configured to:
encode a value indicating a maximum allowed depth of a tree structure, wherein said maximum allowed depth is bounded by twice the difference of a first value and a second value, said first value indicating a size of a a largest allowed coding block, and said second value indicating a minimum allowed coding block size; and
partition a node representing said largest allowed coding block or a partition of said largest allowed coding block, by said tree structure into coding blocks, wherein said tree structure uses a quadtree followed by at least one of horizontal binary splitting, vertical binary splitting, horizontal ternary splitting, and vertical ternary splitting.
14. The apparatus of claim 13 , wherein said one or more processors are further configured to:
partition said largest allowed coding block by a quadtree structure into quadtree leaf nodes, said quadtree leaf nodes including said node representing said partition of said largest allowed coding block.
15. The apparatus of claim 13 , wherein said first value corresponds to a base-2 logarithm of said size of said largest allowed coding block.
16. The apparatus of claim 13 , wherein said second value corresponds to a base-2 logarithm of said minimum allowed coding block size.