CN101188766A - A motion vector prediction method and device - Google Patents
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Abstract
The invention discloses a motion vector forecasting method and a motion vector forecasting device. The method comprises the following steps: when an upper block and a lower block which are not available are detected, and the upper second block and the left second block of a current block which are available are detected, the forecasting motion vector of the current block is determined according to the upper second block and the left second block of the current block, the upper second block of the current block is the upper block of the upper block of the current block, and the left second block of the current block is the left block of the left block of the current block. The invention enhances the forecasting reliability of the motion vector.
Description
Technical field
The present invention relates to technical field of video coding, be specifically related to a kind of method of motion vector prediction and device.
Background technology
In video encoding standard, motion-vector prediction adopts the spatial domain correlation method, that is: the motion vector that utilizes the encoding block in the present frame obtains the motion vectors of current block as a reference by the median prediction criterion.
Fig. 1 has provided the schematic diagram of existing employing spatial domain correlation method motion vectors, as shown in Figure 1, wherein, the current block of Curr for encoding, A, B, C, D are the piece of having encoded in the present frame, and A is the left piece of Curr, and B is the last piece of Curr, C is upper left of Curr, and D is upper right of Curr.The correlation of A, B, C, D and Curr is followed successively by from high to low: B, A, D, C.
Fig. 2 has provided the existing flow chart that utilizes the motion vector of spatial domain correlation method prediction Curr, and as shown in Figure 2, its concrete steps are as follows:
Step 201: judge whether A, B, D be all available, if, execution in step 202, otherwise, execution in step 203.
Usually when a piece satisfies one of following two kinds of situations, think that this piece is unavailable:
One, this piece adopts intraframe predictive coding to obtain.
Two, this piece does not exist, as: in same band (Slice), perhaps this piece does not exceed the border of frame for this piece and Curr.
Step 202: with the intermediate value of the motion vector of A, B, the D motion vectors as Curr, this flow process finishes.
Step 203: judge whether that A, B can use, D is unavailable, if, execution in step 204; Otherwise, execution in step 207.
Step 204: judge whether C is available, if, execution in step 205; Otherwise, execution in step 206.
Step 205: with the intermediate value of the motion vector of A, B, the C motion vectors as Curr, this flow process finishes.
Step 206: with the motion vector of zero vector as C, with the intermediate value of the motion vector of A, B, the C motion vectors as Curr, this flow process finishes then.
Step 207: judge whether that one of A, B are available, if, execution in step 208; Otherwise, execution in step 209.
Step 208: with the motion vector of available A or the B motion vectors as Curr, this flow process finishes.
Step 209: judge whether that A, B are unavailable, D can use, if, execution in step 210; Otherwise, execution in step 211.
Step 210: with the motion vector of the D motion vectors as Curr, this flow process finishes.
Step 211: determine that A, B, D are unavailable, then with the motion vectors of zero vector as Curr.
The shortcoming of existing employing spatial domain correlation method motion vectors is, when A, B have one when unavailable, meeting makes to the reliability reduction of the motion-vector prediction of Curr, this be because: A, B are and the highest piece of Curr correlation, but when A, B time spent all, prediction to the motion vector of Curr is the most reliable, as long as one of A, B are unavailable, will reduce the forecasting reliability of the motion vector of Curr.
Summary of the invention
The invention provides a kind of method of motion vector prediction and device, to improve the reliability of motion-vector prediction.
Technical scheme of the present invention is achieved in that
A kind of method of motion vector prediction, this method comprises:
When the last piece that detects current block, left piece unavailable, but and last two, the second from left piece time spent of current block determine the motion vectors of current block according to last two of current block, the second from left piece,
Last two of described current block is the last piece of the last piece of current block, and the second from left piece of described current block is the left piece of the left piece of current block.
Describedly determine that according to last two of current block, the second from left piece the motion vectors of current block comprises:
Whether upper right of judging current block available, if, with last two of current block, the second from left piece, the upper right intermediate value of motion vector as the motion vectors of current block; Otherwise, with last two of current block, the average of the motion vector of the second from left piece motion vectors as current block.
Described method further comprises: but when the last piece that detects current block, left piece, upper right time spent all, with the last piece of current block, left piece, the upper right intermediate value of motion vector as the motion vectors of current block.
Described method further comprises: when all available and upper right when unavailable of the last piece of current block, left piece, with the average of the motion vector of the last piece of current block, the left piece motion vectors as current block.
Described method further comprises: but when one of the last piece of current block, the left piece time spent, with the motion vector of available last piece or the left piece motion vectors as current block.
Described method further comprises: but when the last piece of current block, left piece, last two, all unavailable, a upper right time spent of the second from left piece, with the motion vectors of upper right motion vector as current block.
Described method further comprises: when the last piece of current block, left piece, upper right, last two, when the second from left piece is all unavailable, with the motion vectors of zero vector as current block.
Described method further comprises: when the last piece of current block, left piece, upper right, last two, when the second from left piece is all unavailable, will be in reference frame the motion vector of the present position piece identical with current block present position in present frame as the motion vectors of current block.
A kind of motion-vector prediction device, this device comprises:
The block motion vector memory module, the motion vector of the piece in the storage present frame;
The motion vector determination module, when the last piece that detects current block, left piece unavailable, but and last two, the second from left piece time spent of current block according to last two of the current block that obtains from the block motion vector memory module, the motion vector of the second from left piece, determine the motion vectors of current block.
Described motion vector determination module comprises:
The available detection module of piece detects the last piece of current block, left piece, last two, the second from left piece, upper right, whether available, and testing result is sent to determination module;
Determination module, receive described testing result, if the indication of this testing result go up piece, unavailable, last two of left piece, the second from left piece available, simultaneously upper right available, then last two of the current block that will obtain from the block motion vector memory module, the second from left piece, the upper right intermediate value of motion vector are as the motion vectors of current block; If the indication of this testing result go up piece, unavailable, last two of left piece, the second from left piece available, simultaneously upper right unavailable, then last two of the current block that will obtain from the block motion vector memory module, the average of the motion vector of the second from left piece are as the motion vectors of current block.
Described determination module further comprises, but be used on testing result indication current block piece, left piece, upper right time spent all, the last piece of the current block that will obtain from the block motion vector memory module, left piece, the upper right intermediate value of motion vector are as the submodule of the motion vectors of current block.
Described determination module further comprises, be used on testing result indication current block all available and upper right when unavailable of piece, left piece, the average of the last piece of the current block that will obtain from the block motion vector memory module, the motion vector of left piece is as the submodule of the motion vectors of current block.
Described determination module further comprises, but be used for detect current block on one of piece, left piece time spent, the available last piece that will obtain from the block motion vector memory module or the motion vector of left piece are as the submodule of the motion vectors of current block.
Described determination module further comprises, but be used for detect current block on piece, left piece, on two, all unavailable, a upper right time spent of the second from left piece, with the submodule of upper right motion vector as the motion vectors of current block.
Described determination module further comprises, be used for detect current block on piece, left piece, upper right, on two, when the second from left piece is all unavailable, with the submodule of zero vector as the motion vectors of current block.
Described determination module further comprises, be used for detect current block on piece, left piece, upper right, on two, when the second from left piece is all unavailable, will obtain from the block motion vector memory module, reference frame the motion vector of the present position piece identical with current block present position in present frame as the submodule of the motion vectors of current block.
Compared with prior art, the present invention ought detect the last piece of current block, left piece is unavailable, but and last two, the second from left piece time spent of current block determine the motion vectors of current block according to last two of current block, the second from left piece, improved the reliability of motion-vector prediction.
Description of drawings
Fig. 1 is the schematic diagram of existing employing spatial domain correlation method predicted motion vector;
Fig. 2 is the flow chart of existing employing spatial domain correlation method motion vectors;
The flow chart of the motion vectors that Fig. 3 provides for the embodiment of the invention;
The schematic diagram of the spatial correlation of the piece in the frame that Fig. 4 provides for the embodiment of the invention;
Fig. 5 carries out the schematic diagram of the piece that motion-vector prediction adopted for the embodiment of the invention;
The schematic diagram of the piece in the reference frame that Fig. 6 provides for the embodiment of the invention and the relativity of time domain of current block;
The structure composition diagram of the motion-vector prediction device that Fig. 7 provides for the embodiment of the invention.
Embodiment
The present invention is further described in more detail below in conjunction with drawings and the specific embodiments.
The flow chart of the motion vectors that Fig. 3 provides for the embodiment of the invention, as shown in Figure 3, its concrete steps are as follows:
Step 301: A～D is sorted from high to low according to the correlation with Curr, obtain: B, A, D, C.
Wherein, Curr is a current block, and A is the left piece of Curr, and B is the last piece of Curr, and C is upper left of Curr, and D is upper right of Curr.
Fig. 4 is the spatial correlation schematic diagram of the piece in the frame that adopts prior art and obtain, as shown in Figure 4, wherein, previous numeral in A, B, C, the D piece is the coefficient correlation of the horizontal component of the horizontal component of motion vector of this piece and Curr, the coefficient correlation of the vertical component of the motion vector that a back numeral is this piece and the vertical component of Curr.As: the coefficient correlation of the horizontal component of the motion vector of piece A and the horizontal component of Curr is 0.488, and the coefficient correlation of the vertical component of piece A and the vertical component of Curr is 0.487.The big more expression correlation of coefficient correlation is strong more, and as can be seen: the correlation of A～D and Curr is followed successively by from high to low: B, A, D, C.
Step 302: judge whether A, B, D be all available, if, execution in step 303; Otherwise, execution in step 304.
Step 303: with the intermediate value of the motion vector of A, B, the D motion vectors as Curr, this flow process finishes.
Motion vector is made up of horizontal component and vertical component, with the intermediate value of the motion vector of A, B, D as the motion vectors of Curr promptly: the intermediate value of horizontal component of motion vector of getting A, B, D is as the horizontal component of the motion vector of Curr, and the intermediate value of vertical component of motion vector of getting A, B, D is as the vertical component of the motion vector of Curr.
For example: the motion vector of A be (a1, a2), the motion vector of B be (b1, b2), the motion vector of C be (c1, c2), and a1＞b1＞c1, c2＞a2＞b2, then the motion vectors of Curr be (b1, a2).
Step 304: judge whether that A, B can use, D is unavailable, if, execution in step 305; Otherwise, execution in step 306.
Step 305: with the average of the motion vector of A, the B motion vectors as Curr, this flow process finishes.
With the average of the motion vector of A, B as the motion vectors of Curr promptly: the average of horizontal component of motion vector of getting A, B is as the horizontal component of the motion vector of Curr, and the average of vertical component of motion vector of getting A, B is as the vertical component of the motion vector of Curr.
For example: the motion vector of A be (a1, a2), the motion vector of B is that (b1, b2), then the motion vectors of Curr is
Step 306: judge whether that A, B are unavailable, E, F can use, if, execution in step 307; Otherwise, execution in step 310.
Fig. 5 has provided the schematic diagram that the embodiment of the invention is carried out the encoding block that motion-vector prediction adopted, and as shown in Figure 5, wherein, E is the second from left piece that the left piece of A also can be described as Curr, and F is last two that the last piece of B also can be described as Curr.
Step 307: judge whether D is available, if, execution in step 308; Otherwise, execution in step 309.
Step 308: with the intermediate value of the motion vector of E, F, the D motion vectors as Curr, this flow process finishes.
Step 309: with the average of the motion vector of E, the F motion vectors as Curr, this flow process finishes.
Step 310: judge whether that one of A, B are available, if, execution in step 311; Otherwise, execution in step 312.
Step 311: with the motion vector of available A or the B motion vectors as Curr, this flow process finishes.
Step 312: judge whether that A, B, E, F are unavailable, D can use, if, execution in step 313; Otherwise, execution in step 314.
Step 313: with the motion vector of the D motion vectors as Curr, this flow process finishes.
Step 314: judge whether that A, B, D, E, F are unavailable, G can use, if, execution in step 315; Otherwise, execution in step 316.
Fig. 6 is the schematic diagram of the relativity of time domain of piece in the reference frame that adopts prior art and obtain and current block Curr, as shown in Figure 6, M, I, N, H, G, J, L, K, O are the piece in the reference frame, and wherein, the position of piece G in reference frame is identical with the position of Curr in present frame.First digit in each piece is the coefficient correlation of this piece and Curr, and as can be seen, the correlation of G and Curr is the highest.
Step 315: with the motion vector of the G motion vectors as Curr, this flow process finishes.
Step 316: with the motion vectors of zero vector as Curr.
In actual applications, if only adopt spatial domain correlation method predicted motion vector, then when A, B, D, E, F are unavailable, with the motion vectors of zero vector as Curr.
The structure composition diagram of the motion-vector prediction device that Fig. 7 provides for the embodiment of the invention, as shown in Figure 7, it mainly comprises: block motion vector memory module 71 and motion vector determination module 72, wherein:
Block motion vector memory module 71: the motion vector of the piece in the storage present frame.
Motion vector determination module 72: when the last piece B that detects current block Curr, left piece A unavailable, but and last two F, the second from left piece E time spent of current block, according to the motion vector of the F that obtains from block motion vector memory module 71, E, determine the motion vectors of Curr.
Motion vector determination module 72 can comprise: available detection module 721 of piece and determination module 722, and the function of each module is as follows:
The available detection module 721 of piece: whether available, testing result is sent to determination module 722 if detecting piece A, B, D, E, F, G.
G is present position and the identical piece in Curr present position in present frame in the reference frame.
Determination module 722: receive the testing result that the available detection module 721 of piece is sent, if this testing result indication A, B is unavailable, E, F can with, D can use simultaneously, then the intermediate value of the motion vector of piece D, the E that will obtain from block motion vector memory module 71, F is as the motion vectors of Curr; If this testing result indication A, B is unavailable, E, F can with, D is unavailable simultaneously, then the average of the motion vector of piece E, the F that will obtain from block motion vector memory module 71 is as the motion vectors of Curr.
In actual applications, determination module 722 may further include, but be used for time spent all at testing result indicator collet A, B, D, the intermediate value of A, the B that will obtain from block motion vector memory module 71, the motion vector of D is as the submodule of the motion vectors of Curr.
In actual applications, determination module 722 can further include, be used for when the available and D of testing result indicator collet A, B is unavailable, the average of the motion vector of A, the B that will obtain from block motion vector memory module 71 is as the submodule of the motion vectors of Curr.
In actual applications, determination module 722 can further include, but is used for detecting one of piece A, the B time spent, and available A that will obtain from block motion vector memory module 71 or the motion vector of B are as the submodule of the motion vectors of Curr.
In actual applications, determination module 722 can further include, but is used for detecting that piece A, B, E, F are unavailable, the D time spent, with the motion vector of the D submodule as the motion vectors of Curr.
In actual applications, determination module 722 can further include, and is used for when only adopting spatial domain correlation method motion vectors, if detect piece A, B, D, E, F when all unavailable, with the submodule of zero vector as the motion vectors of Curr.
In actual applications, determination module 722 can further include, be used for when only adopting sky, time domain to be correlated with the combined techniques motion vectors, if detect piece A, B, D, E, F when all unavailable, will be 71 that obtain from the block motion vector memory module, reference frame the motion vector of the present position piece G identical with Curr present position in present frame as the submodule of the motion vectors of Curr.
From the foregoing description as can be seen, as A, the B piece is all unavailable and but E, F piece time spent can replace A, B piece predict the motion vector of Curr with E, F piece, because E with the highest piece, the F of A correlation is and the highest piece of B correlation, therefore, can improve the reliability of motion-vector prediction.For example: when A, B, D are unavailable, still can be with the average of the motion vector of E, F motion vectors as Curr; And in the prior art, when A, B, D were unavailable, directly with the motion vectors of zero vector as Curr, obviously, in this case, the invention process regular meeting improved the accuracy of motion-vector prediction.
The above only is process of the present invention and method embodiment, in order to restriction the present invention, all any modifications of being made within the spirit and principles in the present invention, is not equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (16)
1. a method of motion vector prediction is characterized in that, this method comprises:
When the last piece that detects current block, left piece unavailable, but and last two, the second from left piece time spent of current block determine the motion vectors of current block according to last two of current block, the second from left piece,
Last two of described current block is the last piece of the last piece of current block, and the second from left piece of described current block is the left piece of the left piece of current block.
2. the method for claim 1 is characterized in that, describedly determines that according to last two of current block, the second from left piece the motion vectors of current block comprises:
Whether upper right of judging current block available, if, with last two of current block, the second from left piece, the upper right intermediate value of motion vector as the motion vectors of current block; Otherwise, with last two of current block, the average of the motion vector of the second from left piece motion vectors as current block.
3. the method for claim 1, it is characterized in that, described method further comprises: but when the last piece that detects current block, left piece, upper right time spent all, with the last piece of current block, left piece, the upper right intermediate value of motion vector as the motion vectors of current block.
4. the method for claim 1, it is characterized in that, described method further comprises: when all available and upper right when unavailable of the last piece of current block, left piece, with the average of the motion vector of the last piece of current block, the left piece motion vectors as current block.
5. the method for claim 1 is characterized in that, described method further comprises: but when one of the last piece of current block, the left piece time spent, with the motion vector of available last piece or the left piece motion vectors as current block.
6. the method for claim 1 is characterized in that, described method further comprises: but when the last piece of current block, left piece, last two, all unavailable, a upper right time spent of the second from left piece, with the motion vectors of upper right motion vector as current block.
7. the method for claim 1 is characterized in that, described method further comprises: when the last piece of current block, left piece, upper right, last two, when the second from left piece is all unavailable, with the motion vectors of zero vector as current block.
8. the method for claim 1, it is characterized in that, described method further comprises: when the last piece of current block, left piece, upper right, last two, when the second from left piece is all unavailable, will be in reference frame the motion vector of the present position piece identical with current block present position in present frame as the motion vectors of current block.
9. a motion-vector prediction device is characterized in that, this device comprises:
The block motion vector memory module, the motion vector of the piece in the storage present frame;
The motion vector determination module, when the last piece that detects current block, left piece unavailable, but and last two, the second from left piece time spent of current block according to last two of the current block that obtains from the block motion vector memory module, the motion vector of the second from left piece, determine the motion vectors of current block.
10. device as claimed in claim 9 is characterized in that, described motion vector determination module comprises:
The available detection module of piece detects the last piece of current block, left piece, last two, the second from left piece, upper right, whether available, and testing result is sent to determination module;
Determination module, receive described testing result, if the indication of this testing result go up piece, unavailable, last two of left piece, the second from left piece available, simultaneously upper right available, then last two of the current block that will obtain from the block motion vector memory module, the second from left piece, the upper right intermediate value of motion vector are as the motion vectors of current block; If the indication of this testing result go up piece, unavailable, last two of left piece, the second from left piece available, simultaneously upper right unavailable, then last two of the current block that will obtain from the block motion vector memory module, the average of the motion vector of the second from left piece are as the motion vectors of current block.
11. device as claimed in claim 10, it is characterized in that, described determination module further comprises, but be used on testing result indication current block piece, left piece, upper right time spent all, the last piece of the current block that will obtain from the block motion vector memory module, left piece, the upper right intermediate value of motion vector are as the submodule of the motion vectors of current block.
12. device as claimed in claim 10, it is characterized in that, described determination module further comprises, be used on testing result indication current block all available and upper right when unavailable of piece, left piece, the average of the last piece of the current block that will obtain from the block motion vector memory module, the motion vector of left piece is as the submodule of the motion vectors of current block.
13. device as claimed in claim 10, it is characterized in that, described determination module further comprises, but be used for detect current block on one of piece, left piece time spent, the available last piece that will obtain from the block motion vector memory module or the motion vector of left piece are as the submodule of the motion vectors of current block.
14. device as claimed in claim 10, it is characterized in that, described determination module further comprises, but be used for detect current block on piece, left piece, on two, all unavailable, a upper right time spent of the second from left piece, with the submodule of upper right motion vector as the motion vectors of current block.
15. device as claimed in claim 10, it is characterized in that, described determination module further comprises, be used for detect current block on piece, left piece, upper right, on two, when the second from left piece is all unavailable, with the submodule of zero vector as the motion vectors of current block.
16. device as claimed in claim 10, it is characterized in that, described determination module further comprises, be used for detect current block on piece, left piece, upper right, on two, when the second from left piece is all unavailable, will obtain from the block motion vector memory module, reference frame the motion vector of the present position piece identical with current block present position in present frame as the submodule of the motion vectors of current block.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103314586A (en) * | 2011-01-12 | 2013-09-18 | 佳能株式会社 | Video encoding and decoding with improved error resilience |
| CN108184125A (en) * | 2011-11-10 | 2018-06-19 | 索尼公司 | Image processing equipment and method |
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| CN103314586A (en) * | 2011-01-12 | 2013-09-18 | 佳能株式会社 | Video encoding and decoding with improved error resilience |
| CN103329528A (en) * | 2011-01-12 | 2013-09-25 | 佳能株式会社 | Video encoding and decoding with improved error resilience |
| US9386312B2 (en) | 2011-01-12 | 2016-07-05 | Canon Kabushiki Kaisha | Video encoding and decoding with improved error resilience |
| CN103329528B (en) * | 2011-01-12 | 2016-12-21 | 佳能株式会社 | The Video coding of Fault recovery improvement and decoding |
| US10165279B2 (en) | 2011-01-12 | 2018-12-25 | Canon Kabushiki Kaisha | Video encoding and decoding with improved error resilience |
| US11146792B2 (en) | 2011-01-12 | 2021-10-12 | Canon Kabushiki Kaisha | Video encoding and decoding with improved error resilience |
| CN108184125A (en) * | 2011-11-10 | 2018-06-19 | 索尼公司 | Image processing equipment and method |
| CN108200438A (en) * | 2011-11-10 | 2018-06-22 | 索尼公司 | Image processing equipment and method |
| CN108200438B (en) * | 2011-11-10 | 2022-01-07 | 索尼公司 | Image processing apparatus and method |
| CN108184125B (en) * | 2011-11-10 | 2022-03-08 | 索尼公司 | Image processing apparatus and method |
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