CN103517077A - Method and device for rapidly selecting prediction mode - Google Patents
Method and device for rapidly selecting prediction mode Download PDFInfo
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- CN103517077A CN103517077A CN201210544210.8A CN201210544210A CN103517077A CN 103517077 A CN103517077 A CN 103517077A CN 201210544210 A CN201210544210 A CN 201210544210A CN 103517077 A CN103517077 A CN 103517077A
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Abstract
The invention discloses a method and device for rapidly selecting a prediction mode. According to the method, interference to prediction mode selection by a coding structure presupposition mechanism can be rapidly judged by analyzing statistical properties of the macro-block prediction mode in a region; the stability requirement of rate-distortion performance can be achieved while calculated amount is reduced by deleting impossible prediction modes or impossible reference frames before an optimal prediction mode is determined.
Description
Technical field
The present invention relates to coding and decoding video field, relate in particular to a kind of fast prediction mode selecting method and device.
Background technology
The traversing operation of conventional coding techniques on predictive mode, although can seek optimum prediction mode, the amount of calculation of thereupon bringing is also huge.Especially under the default mechanism of coding structure, complete when inconsistent when the classification optimum prediction mode actual with it of default picture frame, can cause the maximum of amount of calculation to waste, and now to the lifting of distortion performance without a bit help.
For this problem, a kind of fast prediction model selection of the present invention strategy.
Summary of the invention
The object of the embodiment of the present invention is to propose a kind of fast prediction mode selecting method, be intended to solve the traversing operation of the conventional coding techniques of prior art on predictive mode, can cause the maximum waste of amount of calculation, and to the lifting of distortion performance without the problem at all helping.The embodiment of the present invention is achieved in that a kind of fast prediction mode selecting method, said method comprising the steps of:
Step B, judges whether t≤num
frame, if so, enter step C;
Step C, judgement current encoded frame frame
twhether be I frame, enter if not step D;
Step D, initialize n=1, num
i=0;
Step e, judges whether n≤num
mb* Thres
1, if so, enter step F, if not, enter step G;
Step F, to current coding macro block Mb
t, nencode, and according to the predictive mode of current coding macro block, calculate first mode statistical variable, then make n=n+1, more then return to step e;
Step G, judges whether num
i> (n-1) * Thres
2, if so, enter step H;
Step H: first utilize fast prediction model selection strategy, delete impossible predictive mode, then current macro is encoded, last, enter step J;
Step J: determine whether n>=num
mb, if so, first make t=t+1, then enter step L, if not, first, make n=n+1, then reenter step H;
Step L: determine whether t≤num
frame, if not, finish;
Wherein, t presentation code frame number; Frame
trepresent current encoded frame; num
framethe number of image frames of presentation code sequence; N represents Mb
t, ncoding sequence number in current encoded frame; Mb
t, nrepresent current macro; num
irepresent first mode statistical variable; num
mbrepresent the macro block sum in a two field picture; Thres
1it is the first decision threshold; Thres
2it is the second decision threshold.
Further, further comprising the steps of before step B:
Steps A, initialize t=1.
Further, in step C, judgement current encoded frame frame
twhether be I frame, if to current encoded frame frame
tencode, then make t=t+1, more then return to step B.
Further, in step G, judge whether num
i> (n-1) * Thres
2, if not, enter step I;
Step I: first current macro is encoded, then enter step K;
Step K: determine whether n>=num
mb, if so, first make t=t+1, then reenter step B; If not, first, make n=n+1, then reenter step I.
Further, in step L, determine whether t≤num
frame, if so, enter step M;
Step M: determine whether frame
tfor I frame, if not, enter step N;
Step N: initialize n=1, num
pb=0;
Step 0: determine whether n≤num
mb* Thres
1, if so, enter step P; If not, enter step Q;
Step P: first to Mb
t, nencode, then according to the predictive mode of macro block, calculate the second pattern statistical variable; Then, make n=n+1, more then reenter step 0;
Step Q: judge whether num
pb> (n-1) * Thres
2, if so, enter step R;
Step R: first utilize fast prediction model selection strategy, delete impossible reference frame; Then enter step S;
Step S: first current macro is encoded, then enter step T;
Step T: determine whether n>=num
mb, if so, first make t=t+1, then reenter step B; If not, first, make n=n+1, then reenter step S.
Further, in step M, determine whether frame
tfor I frame, if so, first to frame
tencode, then make t=t+1, finally reenter step B.
Further, in step Q, judge whether num
pb> (n-1) * Thres
2, if not, enter step S.Another object of the embodiment of the present invention is to propose a kind of fast prediction mode selector, and described device comprises:
The first judging treatmenting module: for judging whether t≤num
frame, if so, enter the second judging treatmenting module; If not, finish;
The second judging treatmenting module: for judging current encoded frame frame
twhether is I frame, be to current encoded frame frame
tencode, then make t=t+1, return to the first judging treatmenting module; Otherwise enter the second assignment module;
The second assignment module: be connected with the 3rd judging treatmenting module, for initialize n=1, num
i=0;
The 3rd judging treatmenting module: for judging whether n≤num
mb* Thres
1, if so, enter the first processing module; If not, enter the 4th judging treatmenting module;
The first processing module, for to current coding macro block Mb
t, nencode, and according to the predictive mode of current coding macro block, calculate first mode statistical variable, then make n=n+1, more then return and carry out the 3rd judging treatmenting module;
The 4th judging treatmenting module, for judging whether num
i> (n-1) * Thres
2, if so, enter the second processing module; If not, enter the first coding module;
The second processing module, for first utilizing fast prediction model selection strategy, deletes impossible predictive mode; Then current macro is encoded; Finally, enter the 6th judging treatmenting module;
The first coding module, for first current macro being encoded, then enters the 5th judging treatmenting module;
The 5th judging treatmenting module, for determining whether n>=num
mb, if so, first make t=t+1, then reenter the first judging treatmenting module; If not, first, make n=n+1, then reenter the first coding module;
The 6th judging treatmenting module, for determining whether n>=num
mb, if so, first make t=t+1, then enter the 7th judging treatmenting module; If not, first, make n=n+1, then reenter the second processing module;
The 7th judging treatmenting module, for determining whether t≤num
frame, if not, finish;
Wherein, frame
trepresent current encoded frame; num
framethe number of image frames of presentation code sequence; N represents Mb
t, ncoding sequence number in current encoded frame; Mb
t, nrepresent current macro; T presentation code frame number; num
mbrepresent the macro block sum in a two field picture; num
irepresent first mode statistical variable; Thres
1be the first decision threshold, Thres
2it is the second decision threshold.
Further, described device also comprises:
First composes module: be connected with the first judging treatmenting module, for initialize t=1.
Further, described device also comprises:
Described the 7th judging treatmenting module, also for determining whether t≤num
frame, if so, enter the 8th judging treatmenting module;
The 8th judging treatmenting module, is connected with the 7th judging treatmenting module, for determining whether frame
tfor I frame, if so, first to frame
tencode, then make t=t+1, finally reenter the first judging treatmenting module; If not, enter the 3rd assignment module;
The 3rd assignment module, is connected with the 9th judging treatmenting module, for initialize n=1, num
pb=0;
Num
pbrepresent the second pattern statistical variable;
The 9th judging treatmenting module, for determining whether n≤num
mb* Thres
1, if so, enter the 3rd processing module; If not, enter the tenth judging treatmenting module;
The 3rd processing module, for first to Mb
t, nencode, then according to the predictive mode of macro block, calculate the second pattern statistical variable; Then, make n=n+1, more then reenter the 9th judging treatmenting module;
The tenth judging treatmenting module, for judging whether num
pb> (n-1) * Thres
2, if so, enter the 4th processing module; If not, enter the second coding module;
The 4th processing module, for first utilizing fast prediction model selection strategy, deletes impossible reference frame; Then enter the second coding module;
The second coding module, for first current macro being encoded, then enters the 11 judging treatmenting module;
The 11 judging treatmenting module, for determining whether n>=num
mb, if so, first make t=t+1, then reenter the first judging treatmenting module; If not, first, make n=n+1, then reenter the second coding module.
Beneficial effect of the present invention
The embodiment of the present invention, by the statistical property of the macroblock prediction pattern in analyzed area, can be judged the interference of in the default mechanism of coding structure, predictive mode being selected fast; By before optimum prediction mode is determined, delete impossible predictive mode or impossible reference frame, when reducing amount of calculation, reach the stability requirement of distortion performance.The stability requirement of performance.
Accompanying drawing explanation
Fig. 1 is a kind of fast prediction mode selecting method of preferred embodiment of the present invention flow chart;
Fig. 2 is a kind of fast prediction mode selector of preferred embodiment of the present invention structural representation.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the present invention is further elaborated, for convenience of explanation, only show the part relevant to the embodiment of the present invention.Should be appreciated that the specific embodiment that this place is described, only for explaining the present invention, not in order to limit the present invention.
The embodiment of the present invention, by the statistical property of the macroblock prediction pattern in analyzed area, can be judged the interference of in the default mechanism of coding structure, predictive mode being selected fast; By before optimum prediction mode is determined, delete impossible predictive mode or impossible reference frame, when reducing amount of calculation, reach the stability requirement of distortion performance.
Embodiment mono-
Fig. 1 is a kind of fast prediction mode selecting method of preferred embodiment of the present invention flow chart, said method comprising the steps of:
S101, initialize t=1.
T presentation code frame number;
S102, judges whether t≤num
frame, if so, enter step S103; If not, finish.
Wherein, frame
trepresent current encoded frame; num
framethe number of image frames of presentation code sequence.
S103, judgement current encoded frame frame
twhether is I frame, be to current encoded frame frame
tencode, then make t=t+1, more then return to step S102; Otherwise enter step S104.
S104, initialize n=1, num
i=0.
N represents Mb
t, ncoding sequence number in current encoded frame; Mb
t, nn the macro block that represents current encoded frame, also referred to as current macro; num
irepresent first mode statistical variable;
S105, judges whether n≤num
mb* Thres
1, if so, enter step S106; If not, enter step S107.
Wherein, num
mbrepresent the macro block sum in a two field picture; Thres
1be the first decision threshold, Thres > 0.05*height/width; Width, height respectively presentation video be take columns, the line number that pixel is unit;
S106, to current coding macro block Mb
t, nencode, and according to the predictive mode of current coding macro block, calculate first mode statistical variable, then make n=n+1, more then return to step S105;
Described " according to the predictive mode of current coding macro block, calculating first mode statistical variable " is specially:
Wherein, num
irepresent first mode statistical variable.
S107, judges whether num
i> (n-1) * Thres
2, if so, enter S108; If not, enter S109.
Wherein, Thres
2be the second decision threshold, 0.7≤Thres
2≤ 1.
S108: first utilize fast prediction model selection strategy, deleting impossible predictive mode is inter-frame forecast mode; Then current macro is encoded; Finally, enter S110.Only current macro is carried out to infra-frame prediction, choose the optimum prediction mode that optimum frame inner estimation mode is current macro, then carrying out conventional macroblock coding subsequent processing steps is change quantization, entropy coding etc., finally enters S110 again.
S109: first current macro is encoded, then enter S111.
S110: determine whether n>=num
mb, if so, first make t=t+1, then enter S112; If not, first, make n=n+1, then reenter S108.
S111: determine whether n>=num
mb, if so, first make t=t+1, then reenter S102; If not, first, make n=n+1, then reenter S109.
S112: determine whether t≤num
frame, if so, enter S113; If not, finish.
S113: determine whether frame
tfor I frame, if so, first to frame
tencode, then make t=t+1, finally reenter S102; If not, enter S114.
S114: initialize n=1, num
pb=0.
S115: determine whether n≤num
mb* Thres
1, if so, enter S116; If not, enter S117.
S116: first to Mb
t, nencode, then according to the predictive mode of macro block, calculate the second pattern statistical variable; Then, make n=n+1, more then reenter S115.
In full, num
pbrepresent the second pattern statistical variable.
S117: judge whether num
pb> (n-1) * Thres
2, if so, enter S118; If not, enter S119.
S118: first utilize fast prediction model selection strategy, delete impossible reference frame; Then enter S119.First delete in reference listing and play the reference frame that sequence number is less than T, then enter S119.
Wherein T presentation code sequence number equals the broadcasting sequence number of the reference frame of t-1.
S119: first current macro is encoded, then enter S120.
S120: determine whether n>=num
mb, if so, first make t=t+1, then reenter S102; If not, first, make n=n+1, then reenter S119.
The embodiment of the present invention, by the statistical property of the macroblock prediction pattern in analyzed area, can be judged the interference of in the default mechanism of coding structure, predictive mode being selected fast; By before optimum prediction mode is determined, delete impossible predictive mode or impossible reference frame, when reducing amount of calculation, reach the stability of distortion performance.
Embodiment bis-
Fig. 2 is a kind of fast prediction mode selector of preferred embodiment of the present invention structural representation.Described system comprises:
First composes module: be connected with the first judging treatmenting module, for initialize t=1;
T presentation code frame number;
The first judging treatmenting module: for judging whether t≤num
frame, if so, enter the second judging treatmenting module; If not, finish;
Wherein, frame
trepresent current encoded frame; num
framethe number of image frames of presentation code sequence;
The second judging treatmenting module: for judging current encoded frame frame
twhether is I frame, be to current encoded frame frame
tencode, then make t=t+1, return to the first judging treatmenting module; Otherwise enter the second assignment module.
The second assignment module: be connected with the 3rd judging treatmenting module, for initialize n=1, num
i=0.
N represents Mb
t, ncoding sequence number in current encoded frame; Mb
t, nn the macro block that represents current encoded frame, also referred to as current macro; num
irepresent first mode statistical variable;
The 3rd judging treatmenting module: for judging whether n≤num
mb* Thres
l, if so, enter the first processing module; If not, enter the 4th judging treatmenting module.
Wherein, num
mbrepresent the macro block sum in a two field picture; Thres
1be the first decision threshold, Thres
1> 0.05*height/width; Width, height respectively presentation video be take columns, the line number that pixel is unit;
The first processing module, for to current coding macro block Mb
t, nencode, and according to the predictive mode of current coding macro block, calculate first mode statistical variable, then make n=n+1, more then return and carry out the 3rd judging treatmenting module;
Described " according to the predictive mode of current coding macro block, calculating first mode statistical variable " is specially:
Wherein, num
irepresent first mode statistical variable;
The 4th judging treatmenting module, for judging whether num
i> (n-1) * Thres
2, if so, enter the second processing module; If not, enter the first coding module;
Wherein, Thres
2be the second decision threshold, 0.7≤Thres
2≤ 1;
The second processing module, for first utilizing fast prediction model selection strategy, deleting impossible predictive mode is inter-frame forecast mode; Then current macro is encoded; Finally, enter the 6th judging treatmenting module.
Be specially: current macro is carried out to infra-frame prediction, choose the optimum prediction mode that optimum frame inner estimation mode is current macro, then carrying out conventional macroblock coding subsequent processing steps is change quantization, entropy coding etc., finally enters the 6th judging treatmenting module again.
The first coding module, for first current macro being encoded, then enters the 5th judging treatmenting module.
The 5th judging treatmenting module, for determining whether n>=num
mb, if so, first make t=t+1, then reenter the first judging treatmenting module; If not, first, make n=n+1, then reenter the first coding module.
The 6th judging treatmenting module, for determining whether n>=num
mb, if so, first make t=t+1, then enter the 7th judging treatmenting module; If not, first, make n=n+1, then reenter the second processing module.
The 7th judging treatmenting module, for determining whether t≤num
frame, if so, enter the 8th judging treatmenting module; If not, finish.
The 8th judging treatmenting module, for determining whether frame
tfor I frame, if so, first to frame
tp-adic valuation P module.
The 3rd assignment module, is connected with the 9th judging treatmenting module, for initialize n=1, num
pb=0.
Num
pbrepresent the second pattern statistical variable;
The 9th judging treatmenting module, for determining whether n≤num
mb* Thres
1, if so, enter the 3rd processing module; If not, enter the tenth judging treatmenting module.
The 3rd processing module, for first to Mb
t, nencode, then according to the predictive mode of macro block, calculate the second pattern statistical variable; Then, make n=n+1, more then reenter the 9th judging treatmenting module.
In full, num
pbrepresent the second pattern statistical variable;
The tenth judging treatmenting module, for judging whether num
pb> (n-1) * Thres
2, if so, enter the 4th processing module; If not, enter the second coding module.
The 4th processing module, for first utilizing fast prediction model selection strategy, deletes impossible reference frame; Then enter the second coding module.
Be specially: first delete in reference listing and play the reference frame that sequence number is less than T, then enter the second coding module; Wherein T presentation code sequence number equals the broadcasting sequence number of the reference frame of t-1.
The second coding module, for first current macro being encoded, then enters the 11 judging treatmenting module.
The 11 judging treatmenting module, for determining whether n>=num
mb, if so, first make t=t+1, then reenter the first judging treatmenting module; If not, first, make n=n+1, then reenter the second coding module.
The embodiment of the present invention, by the statistical property of the macroblock prediction pattern in analyzed area, can be judged the interference of in the default mechanism of coding structure, predictive mode being selected fast; By before optimum prediction mode is determined, delete impossible predictive mode or impossible reference frame, when reducing amount of calculation, reach the stability of distortion performance.
Those having ordinary skill in the art will appreciate that, the all or part of step realizing in above-described embodiment method can complete by program command related hardware, described program can be stored in a computer read/write memory medium, and described storage medium can be ROM, RAM, disk, CD etc.
The foregoing is only preferred embodiment of the present invention; not in order to limit the present invention; allly originally the foregoing is only preferred embodiment of the present invention; not in order to limit the present invention; all any modifications of doing within the spirit and principles in the present invention, be equal to and replace and improvement etc., within all should being included in protection scope of the present invention.
Claims (22)
1. a fast prediction mode selecting method, is characterized in that, said method comprising the steps of:
Step B, judges whether t≤num
frame, if so, enter step C;
Step C, judgement current encoded frame frame
twhether be I frame, enter if not step D;
Step D, initialize n=1, num
i=0;
Step e, judges whether n≤num
mb* Thres
1, if so, enter step F, if not, enter step G;
Step F, to current coding macro block Mb
t, nencode, and according to the predictive mode of current coding macro block, calculate first mode statistical variable, then make n=n+1, more then return to step e;
Step G, judges whether num
i> (n-1) * Thres
2, if so, enter step H;
Step H: first utilize fast prediction model selection strategy, delete impossible predictive mode, then current macro is encoded, last, enter step J;
Step J: determine whether n>=num
mb, if so, first make t=t+1, then enter step L, if not, first, make n=n+1, then reenter step H;
Step L: determine whether t≤num
frame, if not, finish;
Wherein, t presentation code frame number; Frame
trepresent current encoded frame; num
framethe number of image frames of presentation code sequence; N represents Mb
t, ncoding sequence number in current encoded frame; Mb
t, nrepresent current macro; num
irepresent first mode statistical variable; num
mbrepresent the macro block sum in a two field picture; Thres
1it is the first decision threshold; Thres
2it is the second decision threshold.
2. a kind of fast prediction mode selecting method as claimed in claim 1, is characterized in that, further comprising the steps of before step B:
Steps A, initialize t=1.
3. a kind of fast prediction mode selecting method as claimed in claim 1, is characterized in that, in step C, and judgement current encoded frame frame
twhether be I frame, if to current encoded frame frame
tencode, then make t=t+1, more then return to step B.
4. a kind of fast prediction mode selecting method as claimed in claim 1, is characterized in that, in step G, judges whether num
i> (n-1) * Thres
2, if not, enter step I;
Step I: first current macro is encoded, then enter step K;
Step K: determine whether n>=num
mb, if so, first make t=t+1, then reenter step B; If not, first, make n=n+1, then reenter step I.
5. a kind of fast prediction mode selecting method as described in as arbitrary in claim 1-4 one, is characterized in that,
Described Thres
1> 0.05*height/width;
Width, height respectively presentation video be take columns, the line number that pixel is unit.
6. a kind of fast prediction mode selecting method as claimed in claim 5, is characterized in that,
0.7≤Thres
2≤1。
7. a kind of fast prediction mode selecting method as claimed in claim 6, is characterized in that,
Described " according to the predictive mode of current coding macro block, calculating first mode statistical variable " is specially:
Wherein, num
irepresent first mode statistical variable.
8. a kind of fast prediction mode selecting method as claimed in claim 7, is characterized in that,
Described " first utilize fast prediction model selection strategy, delete impossible predictive mode " is specially:
Only current macro is carried out to infra-frame prediction, choose the optimum prediction mode that optimum frame inner estimation mode is current macro.
9. a kind of fast prediction mode selecting method as claimed in claim 8, is characterized in that, in step L, determines whether t≤num
frame, if so, enter step M;
Step M: determine whether frame
tfor I frame, if not, enter step N;
Step N: initialize n=1, num
pb=0;
Step O: determine whether n≤num
mb* Thres
1, if so, enter step P; If not, enter step Q;
Step P: first to Mb
t, nencode, then according to the predictive mode of macro block, calculate the second pattern statistical variable; Then, make n=n+1, more then reenter step O;
Step Q: judge whether num
pb> (n-1) * Thres
2, if so, enter step R;
Step R: first utilize fast prediction model selection strategy, delete impossible reference frame; Then enter step S;
Step S: first current macro is encoded, then enter step T;
Step T: determine whether n>=num
mb, if so, first make t=t+1, then reenter step B; If not, first, make n=n+1, then reenter step S.
10. a kind of fast prediction mode selecting method as claimed in claim 9, is characterized in that, in step M, determines whether frame
tfor I frame, if so, first to frame
tencode, then make t=t+1, finally reenter step B.
11. a kind of fast prediction mode selecting methods as claimed in claim 10, is characterized in that, in step Q, judge whether num
pb> (n-1) * Thre
s2, if not, enter step S.
12. a kind of fast prediction mode selecting methods as described in as arbitrary in claim 9-11 one, is characterized in that, the second pattern statistical variable computational methods are:
Num
pbrepresent the second pattern statistical variable.
13. a kind of fast prediction mode selecting methods as claimed in claim 12, is characterized in that,
Described " first utilize fast prediction model selection strategy, delete impossible reference frame " is specially:
First delete in reference listing and play the reference frame that sequence number is less than T, wherein T presentation code sequence number equals the broadcasting sequence number of the reference frame of t-1.
14. 1 kinds of fast prediction mode selectors, is characterized in that, described device comprises:
The first judging treatmenting module: for judging whether t≤num
frame, if so, enter the second judging treatmenting module; If not, finish;
The second judging treatmenting module: for judging current encoded frame frame
twhether is I frame, be to current encoded frame frame
tencode, then make t=t+1, return to the first judging treatmenting module; Otherwise enter the second assignment module;
The second assignment module: be connected with the 3rd judging treatmenting module, for initialize n=1, num
i=0;
The 3rd judging treatmenting module: for judging whether n≤num
mb* Thres
1, if so, enter the first processing module; If not, enter the 4th judging treatmenting module;
The first processing module, for to current coding macro block Mb
t, nencode, and according to the predictive mode of current coding macro block, calculate first mode statistical variable, then make n=n+1, more then return and carry out the 3rd judging treatmenting module;
The 4th judging treatmenting module, for judging whether num
i> (n-1) * Thres
2, if so, enter the second processing module; If not, enter the first coding module;
The second processing module, for first utilizing fast prediction model selection strategy, deletes impossible predictive mode; Then current macro is encoded; Finally, enter the 6th judging treatmenting module;
The first coding module, for first current macro being encoded, then enters the 5th judging treatmenting module;
The 5th judging treatmenting module, for determining whether n>=num
mb, if so, first make t=t+1, then reenter the first judging treatmenting module; If not, first, make n=n+1, then reenter the first coding module;
The 6th judging treatmenting module, for determining whether n>=num
mb, if so, first make t=t+1, then enter the 7th judging treatmenting module; If not, first, make n=n+1, then reenter the second processing module;
The 7th judging treatmenting module, for determining whether t≤num
frame, if not, finish;
Wherein, frame
trepresent current encoded frame; num
framethe number of image frames of presentation code sequence; N represents Mb
t, ncoding sequence number in current encoded frame; Mb
t, nrepresent current macro; T presentation code frame number; num
mbrepresent the macro block sum in a two field picture; num
irepresent first mode statistical variable; Thres
1be the first decision threshold, Thres
2it is the second decision threshold.
15. a kind of fast prediction mode selectors as claimed in claim 14, is characterized in that, described device also comprises:
First composes module: be connected with the first judging treatmenting module, for initialize t=1.
16. a kind of fast prediction mode selectors as described in one of claim 14-15, is characterized in that,
Thres
1＞0.05*height/width；
Width, height respectively presentation video be take columns, the line number that pixel is unit.
17. a kind of fast prediction mode selectors as claimed in claim 16, is characterized in that,
0.7≤Thres
2≤1。
18. a kind of fast prediction mode selectors as claimed in claim 17, is characterized in that,
Described " according to the predictive mode of current coding macro block, calculating first mode statistical variable " is specially:
19. a kind of fast prediction mode selectors as described in one of claim 17-18, is characterized in that, in the second processing module, described " first utilize fast prediction model selection strategy, delete impossible predictive mode " is specially:
Current macro is carried out to infra-frame prediction, choose the optimum prediction mode that optimum frame inner estimation mode is current macro.
20. a kind of fast prediction mode selectors as claimed in claim 19, is characterized in that, described device also comprises:
Described the 7th judging treatmenting module, also for determining whether t≤num
frame, if so, enter the 8th judging treatmenting module;
The 8th judging treatmenting module, is connected with the 7th judging treatmenting module, for determining whether frame
tfor I frame, if so, first to frame
tencode, then make t=t+1, finally reenter the first judging treatmenting module; If not, enter the 3rd assignment module;
The 3rd assignment module, is connected with the 9th judging treatmenting module, for initialize n=1, num
pb=0;
Num
pbrepresent the second pattern statistical variable;
The 9th judging treatmenting module, for determining whether n≤num
mb* Thres
1, if so, enter the 3rd processing module; If not, enter the tenth judging treatmenting module;
The 3rd processing module, for first to Mb
t,nencode, then according to the predictive mode of macro block, calculate the second pattern statistical variable; Then, make n=n+1, more then reenter the 9th judging treatmenting module;
The tenth judging treatmenting module, for judging whether num
pb>(n-1) * Thres
2, if so, enter the 4th processing module; If not, enter the second coding module;
The 4th processing module, for first utilizing fast prediction model selection strategy, deletes impossible reference frame; Then enter the second coding module;
The second coding module, for first current macro being encoded, then enters the 11 judging treatmenting module;
The 11 judging treatmenting module, for determining whether n>=num
mb, if so, first make t=t+1, then reenter the first judging treatmenting module; If not, first, make n=n+1, then reenter the second coding module.
21. a kind of fast prediction mode selectors as claimed in claim 20, is characterized in that, described the second pattern statistical variable computational methods are as follows:
Num
pbrepresent the second pattern statistical variable.
22. a kind of fast prediction mode selectors as claimed in claim 21, is characterized in that, in the 4th processing module, described " first utilize fast prediction model selection strategy, delete impossible reference frame " is specially:
Delete in reference listing and play the reference frame that sequence number is less than T, wherein T presentation code sequence number equals the broadcasting sequence number of the reference frame of t-1.
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