CN102547225A - Video monitoring scene judgment method and device, and monitored image encoding method and device - Google Patents
Video monitoring scene judgment method and device, and monitored image encoding method and device Download PDFInfo
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Abstract
The invention discloses a video monitoring scene judgment method, a video monitoring scene judgment device, a monitored image encoding method and a monitored image encoding device. The video monitoring scene judgment method comprises the following steps of: acquiring the current video image frame monitored by a front-end video monitoring device; dividing the acquired current video image frame into blocks with M*N pixel sizes, wherein M and N are natural numbers; determining a brightness mean value of each divided block respectively; determining the maximum brightness mean value Ymax and the minimum brightness mean value Ymin from the respectively determined brightness mean values of the blocks; and if (Ymax-Ymin)/Ymin is greater than TH, determining that the current monitoring scene, in which the front-end video monitoring device is positioned, is an indoor scene, otherwise, determining that the current monitoring scene, in which the front-end video monitoring device is positioned, is an outdoor scene, wherein TH is a set quotient threshold value. According to the methods and the devices, monitored video images under different monitoring scenes can be subjected to adaptive encoding modes, and the image encoding quality for video monitoring is improved.
Description
Technical field
The present invention relates to technical field of video monitoring, especially relate to a kind of video monitoring scene method of discrimination and device thereof, and a kind of video monitoring image coding method and device thereof.
Background technology
At present, be accompanied by maturation and the safe city of security protection industry, the Large scale construction in safety campus, real-time remote monitoring more and more obtains people's attention, and video monitoring has obtained application more and more widely.Video monitoring also from wired develop into wireless, to satisfy ever-increasing mobility and convenience requirement.But because the upstream bandwidth of 3G wireless networks such as TD-SCDMA is limited, make that the transmission quality of video monitoring image is not good, greatly influenced the effect of video monitoring.
When increasing the wireless network transmissions bandwidth, also need the video coding mode of information source end be optimized, to be lifted at the transmission of video images quality under the prior wireless network situation.But generally the application scenarios of video monitoring is a lot, like daytime, night, and monitoring scene such as fixing, as to move, the video image characteristic that different monitoring scene lower front end camera head is gathered is inequality, and is also inequality to the performance requirement of encoder.If the same set of code allocation scheme of unified employing is carried out the same way as coding to the video image that monitors under the many kind of different monitoring scene; Its video encoding quality just can not reach optimal effectiveness; And the difference in quality of compression back reconstruction video image is also very big; Can't present the effect of consistent monitor video image, thereby influence the implementation result of video monitoring technology.
Summary of the invention
The embodiment of the invention provides a kind of video monitoring scene method of discrimination and device thereof; And a kind of video monitoring image coding method and device thereof; With realize under the indoor/outdoor monitoring scene, the daytime/video image that monitors under the night monitoring scene adopts the coded system that adapts to, promotes the image encoding quality of video monitoring.
The technical scheme that the embodiment of the invention proposes is following:
A kind of video monitoring image coding method to indoor scene comprises obtaining the current video image frame that the front end video monitoring apparatus monitors; The current video image frame that obtains is divided into the piece of M * N pixel size, and wherein M, N are natural number; Confirm to divide the brightness average of each piece that obtains respectively; And, select the brightness average less than the piece of first setting threshold and brightness average thereof piece greater than second setting threshold according to the brightness average of each piece of confirming, wherein first setting threshold is less than second setting threshold; Piece to selecting carries out in the coded quantization process, reduces the quantization step value; And the piece of selecting is encoded based on the quantization step value after reducing.
A kind of video monitoring image code device to indoor scene comprises that picture frame obtains the unit, is used to obtain the current video image frame that the front end video monitoring apparatus monitors; The piece division unit is used for picture frame is obtained the piece that current video image frame that the unit obtains is divided into M * N pixel size, and wherein M, N are natural number; The brightness average is confirmed the unit, is used for the brightness average that definite respectively piece division unit is divided each piece that obtains; The blocking selected cell is used for confirming according to the brightness average brightness average of each piece that the unit is confirmed, selects the brightness average less than the piece of first setting threshold and brightness average thereof the piece greater than second setting threshold, and wherein first setting threshold is less than second setting threshold; Reduce the step value unit, be used for the piece that the piece selected cell is selected is carried out the coded quantization process, reduce the quantization step value; And video encoding unit, be used for encoding based on the piece that the quantization step value that reduces after the step value unit reduces is selected the piece selected cell.
A kind of video monitoring scene method of discrimination comprises obtaining the current video image frame that the front end video monitoring apparatus monitors; The current video image frame that obtains is divided into the piece of M * N pixel size, and wherein M, N are natural number; Confirm to divide the brightness average of each piece that obtains respectively; And in the brightness average of each piece of confirming respectively, confirm high-high brightness average Y
MaxWith minimum brightness average Y
MinIf
Then differentiating front end video monitoring apparatus present located monitoring scene is indoor scene; Otherwise differentiating front end video monitoring apparatus present located monitoring scene is outdoor scene, wherein the quotient threshold value of TH for setting.
A kind of video monitoring scene discriminating gear comprises that picture frame obtains the unit, is used to obtain the current video image frame that the front end video monitoring apparatus monitors; The piece division unit is used for picture frame is obtained the piece that current video image frame that the unit obtains is divided into M * N pixel size, and wherein M, N are natural number; The brightness average is confirmed the unit, is used for the brightness average that definite respectively piece division unit is divided each piece that obtains; The minimax brightness value is confirmed the unit, is used for confirming in the brightness average brightness average of each piece that the unit is confirmed respectively, confirms high-high brightness average Y
MaxWith minimum brightness average Y
MinThe scene judgement unit is used for confirming the high-high brightness average Y that the unit is confirmed at the minimax brightness value
MaxWith minimum brightness average Y
MinSatisfy
The time, differentiating front end video monitoring apparatus present located monitoring scene is indoor scene; Otherwise differentiating front end video monitoring apparatus present located monitoring scene is outdoor scene, wherein the quotient threshold value of TH for setting.
A kind of video monitoring scene method of discrimination comprises obtaining the current video image frame that the front end video monitoring apparatus monitors; The average of the brightness value of each pixel that comprises in the current video image frame of confirming to obtain; If the said average of confirming is greater than the average threshold value of setting, then differentiating front end video monitoring apparatus present located monitoring scene is the scene on daytime; Otherwise differentiating front end video monitoring apparatus present located monitoring scene is the scene at night.
A kind of video monitoring scene discriminating gear comprises that picture frame obtains the unit, is used to obtain the current video image frame that the front end video monitoring apparatus monitors; The brightness value average is confirmed the unit, is used for confirming that picture frame obtains the average of the brightness value of each pixel that current video image frame that the unit obtains comprises; Scene judgement unit, the said average that is used for confirming to confirm the unit in the brightness value average are greater than the average threshold value of setting, and differentiating front end video monitoring apparatus present located monitoring scene is the scene on daytime; Otherwise differentiating front end video monitoring apparatus present located monitoring scene is the scene at night.
A kind of video monitoring image coding method to scene at night on daytime is included in the current video image frame that the front end video monitoring apparatus is monitored and carries out in the coded quantization process, reduces the quantization step value; And the current video image frame is encoded based on the quantization step value after reducing.
A kind of video monitoring image code device to scene at night on daytime comprises and reduces the step value unit, is used for carrying out the coded quantization process at the current video image frame that the front end video monitoring apparatus is monitored, and reduces the quantization step value; And video encoding unit, be used for the current video image frame being encoded based on the quantization step value that reduces after the step value unit reduces.
The embodiment of the invention through propose the indoor/outdoor monitoring scene, the daytime/identifying schemes of night monitoring scene; And to the indoor/outdoor monitoring scene that recognizes, the daytime/the night monitoring scene; The adaptive encoding scheme of monitoring image is targetedly proposed; Thereby realized to the indoor/outdoor monitoring scene, the daytime/the night monitoring scene carries out image optimization coding respectively; Promote the video monitoring image quality under various monitoring scenes, reduced the complexity of encoding video pictures, and then effectively promoted the implementation result of video monitoring technology.
Description of drawings
Fig. 1 is the composition structural representation of video monitoring system;
Fig. 2 is a video coding process sketch map in the video monitoring system;
Fig. 3 is a video coding framework sketch map detailed in the video monitoring system;
The differentiation video monitoring scene that Fig. 4 proposes for the embodiment of the invention is the process chart of motion/static scene;
The differentiation video monitoring scene that Fig. 5 proposes for the embodiment of the invention is the composition structural representation of the processing unit of motion/static scene;
The differentiation video monitoring scene that Fig. 6 proposes for the embodiment of the invention be the daytime/night scene process chart;
The differentiation video monitoring scene that Fig. 7 proposes for the embodiment of the invention be the daytime/night scene the composition structural representation of processing unit;
Fig. 8 is the process chart of indoor/outdoor scene for the differentiation video monitoring scene that the embodiment of the invention proposes;
Fig. 9 is the composition structural representation of the processing unit of indoor/outdoor scene for the differentiation video monitoring scene that the embodiment of the invention proposes;
First kind of process chart that Figure 10 proposes for the embodiment of the invention to the video monitoring image coding method of moving scene;
First kind of proposing for the embodiment of the invention of Figure 11 is the composition structural representation of the video monitoring image code processing apparatus of moving scene to video monitoring scene;
Second kind of enforcement sketch map that Figure 12 proposes for the embodiment of the invention to the video monitoring image coding method of moving scene;
Second kind of process chart that Figure 13 proposes for the embodiment of the invention to the video monitoring image coding method of moving scene;
Second kind of proposing for the embodiment of the invention of Figure 14 is the composition structural representation of the video monitoring image code processing apparatus of moving scene to video monitoring scene;
Figure 15 is the process chart of the video monitoring image coding method that is directed against static scene of embodiment of the invention proposition;
Figure 16 is the composition structural representation of the video monitoring image code processing apparatus of static scene for embodiment of the invention proposition to video monitoring scene;
The sketch map that Figure 17 optimizes and revises the null value area quantization for the embodiment of the invention;
Figure 18 is a code optimization schematic flow sheet under the scene at night;
What Figure 19 proposed for the embodiment of the invention is the composition structural representation of video monitoring image code processing apparatus of scene at night on daytime to video monitoring scene;
Figure 20 is the composition structural representation of the video monitoring image code processing apparatus of indoor scene for embodiment of the invention proposition to video monitoring scene;
Figure 21 is the process chart of the video monitoring coding method of embodiment of the invention proposition;
Figure 22 is the composition structural representation of the video monitoring code processing apparatus of embodiment of the invention proposition.
Embodiment
All do not consider the different scene characteristics that monitoring is used to existing video monitoring scheme, do not take the different coding optimisation strategy, therefore can not be applicable to multiple monitoring scene to different monitoring scenes.In addition; The video monitoring particularly kind of the front end watch-dog of wireless video monitoring is more; The disposal ability of a lot of front end watch-dogs a little less than, and adopt existing based on as H.264 the encoding scheme of standard is too complicated, on these equipment, be difficult to carry out real-time coding; Or can't carry out multiplex coding, thereby influenced carrying out of video monitoring technology.To prior art problems; This programme embodiment has proposed the code optimization scheme of a cover to video surveillance applications; Video surveillance applications scene based on different is carried out code optimization targetedly, fully to be lifted at the video quality under each monitoring scene, more favorable user experience is provided; And and then reduce the video coding complexity under the different application monitoring scene, to help the realization of front end watch-dog product.
As shown in Figure 1; Composition structural representation for video monitoring system; Wherein the video surveillance applications system general comprises video camera, front end video monitoring apparatus, transmission network and client device etc. end to end, to realize functions such as video acquisition, coding, Network Transmission, decoding and demonstration output.
As shown in Figure 2, as shown in Figure 3 for video coding process sketch map in the video monitoring system, be video coding framework sketch map detailed in the video monitoring system.To the general coding flow process here; Video monitoring can be optimized this coding scheme to the characteristic of different application monitoring scenes because application scenarios is comparatively complicated targetedly; Obtaining the best video quality under the application-specific scene, and reduce the complexity of coding.
The monitoring scene that the embodiment of the invention proposes here can be divided into static/moving scene, the daytime/night three types of scene, indoor/outdoor scenes, can adopt following method to come to distinguish respectively different monitoring scenes.
Embodiment one, the differentiation of motion/static scene:
As shown in Figure 4; The differentiation video monitoring scene that proposes for the embodiment of the invention is the process chart of motion/static scene; Wherein can adopt motion detection to differentiate video monitoring scene is that moving scene still is static scene; The present frame of the video that is about to monitor and former frame image subtraction obtain residual frame.Like the not motion of front and back two two field picture correspondence positions, the correspondence position pixel brightness value (abbreviating brightness value as) of the residual frame that then obtains is zero; Like the not motion of front and back two two field picture correspondence positions, the correspondence position pixel brightness value of the residual frame that then obtains is the brightness value of non-zero.The brightness value of each pixel of residual frame is added up, and greater than certain thresholding, then differentiating the current video monitoring scene is moving scene like all pixel number purpose ratio values of comprising in the pixel number of non-zero brightness value and the residual frame; Otherwise differentiating the current video monitoring scene is static scene.Concrete realization flow is following:
Accordingly; The embodiment of the invention also proposes a kind of processing unit of differentiating video monitoring scene for motion/static scene; The concrete composition structure of this device is as shown in Figure 5; Comprise that picture frame obtains unit 50, is used for obtaining last video frame image and the current video image frame that video monitoring system front end video monitoring apparatus monitors; Residual frame obtains unit 52, is used for that picture frame is obtained current video image frame that unit 50 obtains and last video frame image and subtracts each other and obtain the image residual frame; Brightness value is confirmed unit 54, is used for respectively confirming that residual frame obtains the brightness value of each pixel of image residual frame that unit 52 obtains; Ratio value is confirmed unit 56, is used for confirming according to brightness value the brightness value of each pixel that unit 54 is confirmed respectively, confirms the ratio value of the number of all pixels in pixel number and the said residual frame of non-zero brightness value; Scene judgement unit 58; The ratio value that is used for confirming unit 56 to confirm at ratio value is during greater than the proportion threshold value set; Differentiating front end video monitoring apparatus present located monitoring scene is moving scene, is static scene otherwise differentiate front end video monitoring apparatus present located monitoring scene.
Embodiment two, the daytime/night scene differentiation:
As shown in Figure 6; The differentiation video monitoring scene that proposes for the embodiment of the invention be the daytime/night scene process chart; The embodiment of the invention has been represented image brightness based on brightness value in the picture frame; Through adding up the brightness value average of all pixels in the two field picture, the brightness value average that obtains like statistics is greater than certain thresholding, and then can differentiate the residing monitoring scene of front end video monitoring apparatus is the scene on daytime; The brightness value average that obtains like statistics is lower than this thresholding, and then can differentiate the residing monitoring scene of front end video monitoring apparatus is the scene at night.Concrete realization flow is following:
In addition, also can be through the scene of the detection of time period being differentiated video monitoring daytime scene or night scene, for example in the time period of 6:00～19:00, can differentiate video monitoring scene is the scene on daytime, is the night monitoring scene in all the other time periods.
Accordingly; The embodiment of the invention also propose a kind of differentiate video monitoring scene be the daytime/night scene processing unit; The concrete composition structure of this device is as shown in Figure 7; Comprise that specifically picture frame obtains unit 70, is used for obtaining the current video image frame that video monitoring system front end video monitoring apparatus monitors; The brightness value average is confirmed unit 72, is used for confirming that picture frame obtains the average of the brightness value of each pixel that current video image frame that unit 70 obtains comprises; Scene judgement unit 74, the average that is used for confirming the brightness value that the unit is confirmed in the brightness value average are during greater than the average threshold value set, and differentiating front end video monitoring apparatus present located monitoring scene is the scene on daytime; Otherwise differentiating front end video monitoring apparatus present located monitoring scene is the scene at night.
Embodiment three, the differentiation of indoor/outdoor scene:
As shown in Figure 8; The differentiation video monitoring scene that proposes for the embodiment of the invention is the process chart of indoor/outdoor scene; Monitoring scene or outdoor monitoring scene are mainly paid close attention to video frame image whether illumination are even in the embodiment of the invention divided chamber; The general uneven illumination of video frame image that monitors under the wherein indoor monitoring scene is even, like influences such as light.The piece that a two field picture that monitors is divided into the 16x16 pixel (can certainly be divided into other big or small pieces; The block of pixels of sizes such as 8 * 8,4 * 4 for example); And calculate the brightness average Y of the block of pixels that each division obtains, obtain the high-high brightness average Y of block of pixels in the two field picture
MaxWith minimum brightness average Y
Min, like the Y that obtains
MaxAnd Y
MinSatisfy following formula, the scene of then differentiating the current monitoring of front end video monitoring apparatus is an indoor scene; Otherwise the scene of differentiating the current monitoring of front end video monitoring apparatus is an outdoor scene.
Wherein TH can value be 2 usually.Its concrete handling process is following:
If step 84 is above-mentioned definite Y
MaxAnd Y
MinSatisfy relational expression
Then differentiating front end video monitoring apparatus present located monitoring scene is indoor scene; Otherwise differentiating front end video monitoring apparatus present located monitoring scene is outdoor scene, the quotient threshold value of TH wherein for setting, usually in the practical application scene can but to be not limited to value be 2.
Accordingly; The embodiment of the invention also proposes a kind of processing unit that video monitoring scene is the indoor/outdoor scene of differentiating; The concrete composition structure of this device is as shown in Figure 9, comprises that specifically picture frame obtains unit 90, is used to obtain the current video image frame that the front end video monitoring apparatus monitors; Piece division unit 92 is used for picture frame is obtained the piece that current video image frame that unit 90 obtains is divided into M * N pixel size, and wherein M, N are natural number; The brightness average is confirmed unit 94, is used for the brightness average of confirming that respectively piece division unit 92 is divided each piece that obtains; The minimax brightness value is confirmed unit 96, is used for confirming in the brightness average brightness average of each piece that unit 94 is confirmed respectively, confirms maximum brightness average Y
MaxBrightness average Y with minimum
MinScene judgement unit 98 is used for confirming the Y that unit 96 is confirmed at the minimax brightness value
MaxAnd Y
MinSatisfy
The time, differentiating front end video monitoring apparatus present located monitoring scene is indoor scene; Otherwise differentiating front end video monitoring apparatus present located monitoring scene is outdoor scene, wherein the quotient threshold value of TH for setting.
Certainly except the method for the automatic differentiation monitoring scene of above introduction, also the monitoring scene pattern can be set manually in the front end video monitoring apparatus.
The embodiment of the invention is differentiated scheme to the monitoring scene of above-mentioned proposition, proposes code optimization scheme targetedly to every kind of different monitoring scene respectively, specifically will describe in detail successively following.
Embodiment four, the code optimization scheme under the moving scene:
In video monitoring system, moving scene moves corresponding to video camera and the video acquisition situation of individual soldier's equipment when using, and static scene is the video acquisition situation fixedly the time corresponding to video camera.
When monitoring scene was in moving scene, because there are motions such as taking turn in video camera, the estimation precision was lower; And motion vector numerical value is very big; Cause encoding code stream to change greatly easily, when the fixed network bandwidth for transmission, occur phenomenons such as packet loss easily, greatly reduced video encoding quality.To this defective, the present invention is that the strength proposition is under the moving scene at monitoring scene, increases the overall motion estimation operation before the prediction processing in cataloged procedure, obtains global motion vector MV
g, can be used for representing the motion vector of video camera.Carry out block-based estimation then, obtain block motion vector MV
b, and calculate its difference MV
d:
MV
d＝MV
b-MV
g (2)
Then with MV
dFor carrying out motion vector encoder subsequently in the basis,, improve the quality of video coding to reduce the numerical values recited of motion vector.
Therefore, shown in figure 10, be first kind of process chart that the embodiment of the invention proposes to the video monitoring image coding method of moving scene, its practical implementation process is following:
Step 101 is carried out block-based estimation earlier to the current video image frame before coded prediction, obtain block motion vector MV
b
Step 102 is confirmed the block motion vector MV of above-mentioned acquisition
bWith global motion vector MV
gDifference MV
d
Step 103 is based on the above-mentioned difference MV that obtains
dThe current video image frame is carried out motion vector encoder.
Accordingly; It is the video monitoring image code processing apparatus of moving scene to video monitoring scene that the embodiment of the invention also proposes a kind of; The concrete composition structure of this device is shown in figure 11; Specifically comprise motion estimation unit 110, be used for the current video image frame that the front end video monitoring apparatus to video monitoring system monitors and before coded prediction, carry out overall motion estimation, obtain global motion vector MV
gAnd the current video image frame carried out block-based estimation before coded prediction, obtain block motion vector MV
bThe vector difference is confirmed unit 111, is used for the block motion vector MV that confirms that motion estimation unit 110 obtains
bWith global motion vector MV
gDifference MV
d Vector coding unit 112 is used for confirming the difference MV that unit 111 is confirmed based on the vector difference
dThe current video image frame is carried out motion vector encoder.
Further; The probability that possibly cause the appearance of different images content frame periodically to repeat when considering camera motion is less; Therefore the reference frame quantity in the time of can considering to reduce video coding; With reference to changing the single frames reference into, when not reducing precision of prediction, reduce the amount of calculation of estimation from multiframe.Because video monitoring is higher to the quality requirement of single-frame images; When motion too violent and cause code check to increase when too fast; Need adjust the Rate Control mode, can keep QP constant basically particularly, reach constant code rate through dynamic reduction frame per second; With the quality of bonding two field picture, specific embodiments is shown in figure 12.
Therefore, shown in figure 13, be second kind of process chart that the embodiment of the invention proposes to the video monitoring image coding method of moving scene, its practical implementation process is following:
Step 131 is carried out block-based estimation to the current video image frame before coded prediction, obtain block motion vector MV
b
Step 132 is confirmed the block motion vector MV of above-mentioned acquisition
bWith global motion vector MV
gDifference MV
d
Step 133 is based on the difference MV of above-mentioned acquisition
dThe current video image frame is carried out the motion vector encoder first time;
Step 134 is carried out frame per second adjustment (being that Rate Control is handled) according to above-mentioned coding result to the current video image frame;
Step 135 is carried out overall motion estimation earlier to the adjusted current video image frame of above-mentioned frame per second before coded prediction, obtain global motion vector MV
g';
Step 136 is carried out block-based estimation earlier to the adjusted current video image frame of frame per second before coded prediction, obtain block motion vector MV
b';
Step 137 is confirmed the block motion vector MV of above-mentioned acquisition
b' and global motion vector MV
g' difference MV
d';
Step 138 is based on the difference MV of above-mentioned acquisition
d' the adjusted current video image frame of frame per second is carried out the motion vector encoder second time.
Accordingly; It is the video monitoring image code processing apparatus of moving scene to video monitoring scene that the embodiment of the invention also proposes another kind of; The concrete composition structure of this device is shown in figure 14; Specifically comprise motion estimation unit 141, be used for the current video image frame that the front end video monitoring apparatus to video monitoring system monitors and before coded prediction, carry out overall motion estimation, obtain global motion vector MV
gAnd the current video image frame carried out block-based estimation before coded prediction, obtain block motion vector MV
bThe vector difference is confirmed unit 143, is used for the block motion vector MV that confirms that motion estimation unit 141 obtains
bWith global motion vector MV
gDifference MV
dMotion vector encoder unit 145 is used for confirming the difference MV that unit 143 is confirmed based on the vector difference
dThe current video image frame is carried out the motion vector encoder first time; Frame per second adjustment unit 147 is used for according to the coding result of motion vector encoder unit 145 the current video image frame being carried out the frame per second adjustment; Subsequent motion estimation unit 141 also is used for the adjusted current video image frame of frame per second adjustment unit 145 frame per second is carried out overall motion estimation before coded prediction, obtains global motion vector MV
g'; And the adjusted current video image frame of frame per second carried out block-based estimation before coded prediction, obtain block motion vector MV
b'; The vector difference confirms that unit 143 also is used for confirming block motion vector MV
b' and global motion vector MV
g' difference MV
d'; Motion vector encoder unit 145 also is used for based on difference MV
d' the adjusted current video image frame of frame per second is carried out the motion vector encoder second time.
Embodiment five, the code optimization scheme under the static scene:
When monitoring scene is static scene, because the background parts of monitoring image remains unchanged, only, moving object occurs changing when occurring at the fraction image-region, therefore can consider only the part that changes to be encoded, farthest to reduce encoder bit rate.Shown in figure 15, be the process chart that the embodiment of the invention proposes to the video monitoring image coding method of static scene, its practical implementation process is following:
Step 150 judges whether the current image frame that the front end video monitoring apparatus in the video monitoring system monitors is first frame video image; When judged result when being, execution in step 151; Otherwise execution in step 152;
Step 152 is judged the current video image frame f that the front end video monitoring apparatus monitors
iThe first frame video image frame f with respect to the reference frame as a setting that monitors
bWhether there is region of variation; If, execution in step 153, otherwise execution in step 156;
Step 154 is to above-mentioned definite residual frame f
ΔLast video frame image with respect to monitoring carries out estimation, and carries out video coding according to motion estimation result;
Step 156 is skipped cataloged procedure, ignores video frame image f before deserving
iCarry out encoding process, the direct display background reference frame of decoding end f
bDecoded result.
Based on above-mentioned proposition be the code optimization scheme under the static scene at monitoring scene, just can keep greatly reducing the complexity that encoding and decoding are calculated under the constant situation of monitor video picture quality.In addition because the actual coding frame number reduces, and the coding region of coded frame reduces, therefore under the constant situation of code check, can improve the coding quality of each frame video image.
Accordingly; It is the video monitoring image code processing apparatus of static scene to video monitoring scene that the embodiment of the invention also proposes a kind of; The concrete composition structure of this device is shown in figure 16; Comprise that specifically residual frame confirms unit 160, be used for current video image frame that the front end video monitoring apparatus with video monitoring system monitors with respect to the region of variation of the first frame video image frame of the frame as a reference that monitors as residual frame; Video encoding unit 161 is used for said residual frame is confirmed that the residual frame that unit 160 is confirmed carry out estimation with respect to the last video frame image that monitors, and carries out video coding according to motion estimation result.
Embodiment six, the daytime/code optimization scheme under the night scene:
Under the daytime scene because illumination is strong; The video acquisition image will be bright excessively, and pixel brightness value is too concentrated, cause will all approaching zero through its ac coefficient AC after the conversion process in the cataloged procedure; Through quantizing back AC coefficient directly is zero; Therefore can cause image detail to be lost, show as the image a vast expanse of whiteness, be difficult to differentiate details wherein.For the scene at night,, also there is the excessive problem that directly causes image detail to be lost in a large number of identical quantization error because images acquired is dark excessively.
To this problem, can carry out in the coded quantization process at the current video image frame that the front end video monitoring apparatus is monitored, the null value zone that obtains after the conversion is handled, promptly reduce quantization step value QStep
0, obtain new quantization step value QStep
0', then based on new quantization step value QStep
0' the current video image frame is encoded.Wherein:
QStep
0′＝QStep
0-d (3)
Like this, the video monitoring image under night on the daytime scene is being carried out in the cataloged procedure, just can realize that less conversion coefficient is able to keep, and then keep the more images details, promoting the coding quality of image.In practical application, quantize the adjustment coefficient d can but to be not limited to value be QStep
0/ 2.
Sketch map shown in figure 17, as the null value area quantization to be optimized and revised for the embodiment of the invention.
In addition, the video image details that also can take identical null value area quantization method of adjustment to avoid monitoring under the scene at night is seriously lost.In addition because the restriction of video camera technology; A large amount of noises can appear inevitably when gathering video image night; Greatly influenced the quality of the video image that monitors, also increased encoder bit rate, for addressing this problem; Can before image encoding, carry out Filtering Processing to remove noise, promote the coding quality of video image the current video image frame.The code optimization schematic flow sheet is shown in figure 18 under the concrete night scene.
Accordingly; It is the video monitoring image code processing apparatus of scene at night on daytime to video monitoring scene that the embodiment of the invention also proposes a kind of; The concrete composition structure of this device is shown in figure 19; Specifically comprise and reduce step value unit 190, be used for carrying out the coded quantization process, reduce the quantization step value at the current video image frame that the front end video monitoring apparatus is monitored; Video encoding unit 191 is used for based on the quantization step value that reduces after step value unit 190 reduces the current video image frame being carried out encoding process.Filter unit 192; Being used at front end video monitoring apparatus present located monitoring scene is that night is during scene; Before the current video image frame being encoded, the current video image frame is carried out Filtering Processing based on the quantization step value after reducing the reduction of step value unit.
Embodiment seven, the code optimization scheme under the indoor/outdoor scene:
When video monitoring scene is indoor scene,, tend to exist the zone of bright (around the bulb) and dark excessively (corner that light is blocked) often owing to of the influence of reasons such as light-illuminating to video image generation brightness irregularities.With aforementioned night on daytime scene the same, a large amount of detail content that may lose image owing to the operation of uniform quantization.Therefore; For the video monitoring image frame that is under the indoor scene; Can the every frame video image frame of current acquisition be divided into the piece of M * N pixel size, wherein M, N are natural number, here can but be not limited to be divided into the piece of pixel sizes such as 8 * 8,4 * 4,16 * 16,16 * 8.Based on each block of pixels that division obtains, can confirm the brightness average Y of each piece respectively based on following formula:
Y wherein
IjBe the brightness value of each pixel of comprising in the piece, i, j are positive integer.
According to the brightness average Y of each piece of confirming, select the brightness average less than the piece of first setting threshold and brightness average thereof piece greater than second setting threshold, wherein first setting threshold is less than second setting threshold; The piece B of each M * N pixel size that the video frame image division obtains before being about to deserve is divided into two types of B
UAnd B
N:
Wherein TH1 is first setting threshold, and TH2 is second setting threshold, and TH1 can get 64 usually, and TH2 can get 191.For the piece of above-mentioned selection (promptly for B
UPiece), can carry out the null value area quantization and handle, promptly for the B that chooses
UPiece is in carrying out the coded quantization process, through reducing its quantization step value QStep
0Be QStep
0'; Then based on the quantization step value QStep after reducing
0' B to selecting
UPiece is encoded.And for unselected (promptly for B
NPiece), then can carry out encoding process according to existing normal encoding mode.Such optimization coded system can well promote bright area or cross the image encoding quality of dark areas.
When being outdoor scene, also can carry out encoding process according to existing normal encoding mode for video monitoring scene.If under outdoor scene, be scene or night during scene on daytime simultaneously, then can combine above-mentioned by the agency of the daytime/optimization coded system under the night scene optimizes encoding process accordingly.
Accordingly; It is the video monitoring image code processing apparatus of indoor scene to video monitoring scene that the embodiment of the invention also proposes a kind of; The concrete composition structure of this device is shown in figure 20; Comprise that specifically picture frame obtains unit 200, be used for obtaining the current video image frame that the front end video monitoring apparatus of video monitoring system monitors; Piece division unit 201 is used for picture frame is obtained the piece that current video image frame that unit 200 obtains is divided into M * N pixel size, and wherein M, N are natural number; The brightness average is confirmed unit 202, is used for the brightness average that definite respectively piece division unit 201 is divided each piece that obtains, and wherein brightness average confirms that unit 202 can be according to formula
The brightness average of each piece that definite division obtains: Y wherein
IjBe the brightness value of each pixel of comprising in the piece, i, j are positive integer; Piece selected cell 203; Be used for confirming the brightness average of each piece that unit 202 is confirmed according to the brightness average; Select the brightness average less than the piece of first setting threshold and brightness average thereof the piece greater than second setting threshold, wherein first setting threshold is less than second setting threshold; Reduce step value unit 204, be used for the piece that piece selected cell 203 is selected is carried out the coded quantization process, reduce the quantization step value; Video encoding unit 205 is used for carrying out encoding process based on the piece that the quantization step value that reduces after step value unit 204 reduces is selected piece selected cell 203.
Arbitration schemes to aforementioned various identification monitoring scenes of having set forth respectively; And the Different Optimization encoding scheme that is directed against the different monitoring scene proposition that recognizes; The embodiment of the invention proposes a kind of new video monitoring coding method; Specifically shown in figure 21, the process chart of the video monitoring coding method that proposes for the embodiment of the invention, the practical implementation process is following:
Step 210 is differentiated the front end video monitoring apparatus present located monitoring scene in the video monitoring system; Particularly monitoring scene can but be not limited to comprise motion/static scene, the daytime/night scene, indoor/outdoor scene etc., wherein how to discern above-mentioned various monitoring scene in above-mentioned elaboration, no longer too much give unnecessary details here.
Step 211 according to the corresponding relation of predefined monitoring scene and video coding mode, is confirmed the corresponding video coding mode of the above-mentioned monitoring scene that determines; Wherein different monitoring scenes can be provided with down optimization coded system that should monitoring scene in advance, and wherein to different monitoring scenes, the coded system that adopts which kind of optimization is also no longer too much given unnecessary details in above-mentioned elaboration here.
Step 212 is carried out encoding process according to the above-mentioned video coding mode of determining to every frame video image information that the front end video monitoring apparatus monitors.Concrete every kind of specific coding process of optimizing coded system is also no longer too much given unnecessary details also in above-mentioned elaboration here.
Accordingly; The embodiment of the invention also proposes a kind of video monitoring code processing apparatus; The concrete composition structure of this device is shown in figure 22, specifically comprises scene judgement unit 221, is used for differentiating the front end video monitoring apparatus present located monitoring scene of video monitoring system; Coded system is confirmed unit 222, is used for the corresponding relation according to predefined monitoring scene and video coding mode, confirms the corresponding video coding mode of monitoring scene that scene judgement unit 221 determines; Coding unit 223 is used for confirming that according to coded system the video coding mode of determining unit 222 carries out encoding process to every frame video image information that the front end video monitoring apparatus monitors.How scene judgement unit 221 discerns above-mentioned various monitoring scene particularly, coded system confirms that how unit 222 is to different monitoring scenes; Adopt coded system and the coding unit 223 of which kind of optimization to adopt every kind of specific coding process of optimizing coded system all to distinguish particularly, no longer too much give unnecessary details here in above-mentioned elaboration.
To sum up discuss visible; The embodiment of the invention passes through to propose the identifying schemes of different monitoring scene, and to the different monitoring scene that recognizes, proposes the adaptive encoding scheme of monitoring image targetedly; Thereby realized carrying out the image optimization coding respectively to different monitoring scenes; Promote the video monitoring image quality under various monitoring scenes, reduced the complexity of encoding video pictures, and then effectively promoted the implementation result of video monitoring technology.
Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, belong within the scope of claim of the present invention and equivalent technologies thereof if of the present invention these are revised with modification, then the present invention also is intended to comprise these changes and modification interior.
Claims (10)
1. the video monitoring image coding method to indoor scene is characterized in that, comprising:
Obtain the current video image frame that the front end video monitoring apparatus monitors;
The current video image frame that obtains is divided into the piece of M * N pixel size, and wherein M, N are natural number;
Confirm to divide the brightness average of each piece that obtains respectively; And
According to the brightness average of each piece of confirming, select the brightness average less than the piece of first setting threshold and brightness average thereof piece greater than second setting threshold, wherein first setting threshold is less than second setting threshold;
Piece to selecting carries out in the coded quantization process, reduces the quantization step value; And
Quantization step value based on after reducing is encoded to the piece of selecting.
2. the method for claim 1 is characterized in that, confirms to divide the brightness average of each piece that obtains according to the following equation:
Y wherein
IjBe the brightness value of each pixel of comprising in the piece, i, j are positive integer.
3. the video monitoring image code device to indoor scene is characterized in that, comprising:
Picture frame obtains the unit, is used to obtain the current video image frame that the front end video monitoring apparatus monitors;
The piece division unit is used for picture frame is obtained the piece that current video image frame that the unit obtains is divided into M * N pixel size, and wherein M, N are natural number;
The brightness average is confirmed the unit, is used for the brightness average that definite respectively piece division unit is divided each piece that obtains; And
The piece selected cell is used for confirming according to the brightness average brightness average of each piece that the unit is confirmed, selects the brightness average less than the piece of first setting threshold and brightness average thereof the piece greater than second setting threshold, and wherein first setting threshold is less than second setting threshold;
Reduce the step value unit, be used for the piece that the piece selected cell is selected is carried out the coded quantization process, reduce the quantization step value; And
Video encoding unit is used for encoding based on the piece that the quantization step value that reduces after the step value unit reduces is selected the piece selected cell.
4. device as claimed in claim 3 is characterized in that, the brightness average is confirmed the definite according to the following equation brightness average of dividing each piece that obtains in unit:
Y wherein
IjBe the brightness value of each pixel of comprising in the piece, i, j are positive integer.
5. a video monitoring scene method of discrimination is characterized in that, comprising:
Obtain the current video image frame that the front end video monitoring apparatus monitors;
The current video image frame that obtains is divided into the piece of M * N pixel size, and wherein M, N are natural number;
Confirm to divide the brightness average of each piece that obtains respectively; And
In the brightness average of each piece of confirming respectively, confirm high-high brightness average Y
MaxWith minimum brightness average Y
Min
If
then differentiates front end video monitoring apparatus present located monitoring scene is indoor scene; Otherwise
Differentiating front end video monitoring apparatus present located monitoring scene is outdoor scene, wherein the quotient threshold value of TH for setting.
6. a video monitoring scene discriminating gear is characterized in that, comprising:
Picture frame obtains the unit, is used to obtain the current video image frame that the front end video monitoring apparatus monitors;
The piece division unit is used for picture frame is obtained the piece that current video image frame that the unit obtains is divided into M * N pixel size, and wherein M, N are natural number;
The brightness average is confirmed the unit, is used for the brightness average that definite respectively piece division unit is divided each piece that obtains;
The minimax brightness value is confirmed the unit, is used for confirming in the brightness average brightness average of each piece that the unit is confirmed respectively, confirms high-high brightness average Y
MaxWith minimum brightness average Y
Min
The scene judgement unit is used for confirming the high-high brightness average Y that the unit is confirmed at the minimax brightness value
MaxWith minimum brightness average Y
MinSatisfy
The time, differentiating front end video monitoring apparatus present located monitoring scene is indoor scene; Otherwise
Differentiating front end video monitoring apparatus present located monitoring scene is outdoor scene, wherein the quotient threshold value of TH for setting.
7. a video monitoring scene method of discrimination is characterized in that, comprising:
Obtain the current video image frame that the front end video monitoring apparatus monitors;
The average of the brightness value of each pixel that comprises in the current video image frame of confirming to obtain;
If the said average of confirming is greater than the average threshold value of setting, then differentiating front end video monitoring apparatus present located monitoring scene is the scene on daytime; Otherwise
Differentiating front end video monitoring apparatus present located monitoring scene is the scene at night.
8. a video monitoring scene discriminating gear is characterized in that, comprising:
Picture frame obtains the unit, is used to obtain the current video image frame that the front end video monitoring apparatus monitors;
The brightness value average is confirmed the unit, is used for confirming that picture frame obtains the average of the brightness value of each pixel that current video image frame that the unit obtains comprises;
Scene judgement unit, the said average that is used for confirming to confirm the unit in the brightness value average are greater than the average threshold value of setting, and differentiating front end video monitoring apparatus present located monitoring scene is the scene on daytime; Otherwise
Differentiating front end video monitoring apparatus present located monitoring scene is the scene at night.
9. the video monitoring image coding method to scene at night on daytime is characterized in that, comprising:
Carry out in the coded quantization process at the current video image frame that the front end video monitoring apparatus is monitored, reduce the quantization step value; And
Quantization step value based on after reducing is encoded to the current video image frame.
10. the video monitoring image code device to scene at night on daytime is characterized in that, comprising:
Reduce the step value unit, be used for carrying out the coded quantization process, reduce the quantization step value at the current video image frame that the front end video monitoring apparatus is monitored; And
Video encoding unit is used for based on the quantization step value that reduces after the step value unit reduces the current video image frame being encoded.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106131502A (en) * | 2016-08-16 | 2016-11-16 | 深圳英飞拓科技股份有限公司 | Video frequency monitoring method and device for piping lane tunnel |
| WO2017219353A1 (en) * | 2016-06-24 | 2017-12-28 | Qualcomm Incorporated | Methods and systems of performing rate control based on scene dynamics and channel dynamics |
| CN107635115A (en) * | 2017-10-09 | 2018-01-26 | 深圳市天视通电子科技有限公司 | A kind of method, storage medium and electronic equipment for realizing ultralow code check |
| CN109905711A (en) * | 2019-02-28 | 2019-06-18 | 深圳英飞拓智能技术有限公司 | A kind of processing method of image, system and terminal device |
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1378384A (en) * | 2001-03-23 | 2002-11-06 | 夏普公司 | Self adaptive quantization based on bit rate predictino and predictive error energy |
| JP2003085671A (en) * | 2001-09-14 | 2003-03-20 | Taiheiyo Boeki Kk | Movement stoppage detector |
| CN1953551A (en) * | 2006-11-24 | 2007-04-25 | 北京中星微电子有限公司 | A device and method for image compression |
| CN101163241A (en) * | 2007-09-06 | 2008-04-16 | 武汉大学 | Video sequence coding/decoding structure |
| CN101309410A (en) * | 2008-07-08 | 2008-11-19 | 武汉大学 | Video coding and decoding architecture |
| CN101378501A (en) * | 2008-10-10 | 2009-03-04 | 天津市亚安科技电子有限公司 | Ganged monitoring apparatus for infrared panorama and control method thereof |
| WO2009027089A2 (en) * | 2007-08-30 | 2009-03-05 | Valeo Schalter Und Sensoren Gmbh | Method and system for weather condition detection with image-based road characterization |
| US20090160937A1 (en) * | 2007-12-21 | 2009-06-25 | Seung Nam Son | Camera control method for vehicle entramce control system |
| JP2009171245A (en) * | 2008-01-16 | 2009-07-30 | Panasonic Electric Works Co Ltd | Interphone system |
| CN101872526A (en) * | 2010-06-01 | 2010-10-27 | 重庆市海普软件产业有限公司 | Smoke and fire intelligent identification method based on programmable photographing technology |
-
2010
- 2010-12-29 CN CN201010612077.6A patent/CN102547225B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1378384A (en) * | 2001-03-23 | 2002-11-06 | 夏普公司 | Self adaptive quantization based on bit rate predictino and predictive error energy |
| JP2003085671A (en) * | 2001-09-14 | 2003-03-20 | Taiheiyo Boeki Kk | Movement stoppage detector |
| CN1953551A (en) * | 2006-11-24 | 2007-04-25 | 北京中星微电子有限公司 | A device and method for image compression |
| WO2009027089A2 (en) * | 2007-08-30 | 2009-03-05 | Valeo Schalter Und Sensoren Gmbh | Method and system for weather condition detection with image-based road characterization |
| CN101163241A (en) * | 2007-09-06 | 2008-04-16 | 武汉大学 | Video sequence coding/decoding structure |
| US20090160937A1 (en) * | 2007-12-21 | 2009-06-25 | Seung Nam Son | Camera control method for vehicle entramce control system |
| JP2009171245A (en) * | 2008-01-16 | 2009-07-30 | Panasonic Electric Works Co Ltd | Interphone system |
| CN101309410A (en) * | 2008-07-08 | 2008-11-19 | 武汉大学 | Video coding and decoding architecture |
| CN101378501A (en) * | 2008-10-10 | 2009-03-04 | 天津市亚安科技电子有限公司 | Ganged monitoring apparatus for infrared panorama and control method thereof |
| CN101872526A (en) * | 2010-06-01 | 2010-10-27 | 重庆市海普软件产业有限公司 | Smoke and fire intelligent identification method based on programmable photographing technology |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017219353A1 (en) * | 2016-06-24 | 2017-12-28 | Qualcomm Incorporated | Methods and systems of performing rate control based on scene dynamics and channel dynamics |
| CN106131502A (en) * | 2016-08-16 | 2016-11-16 | 深圳英飞拓科技股份有限公司 | Video frequency monitoring method and device for piping lane tunnel |
| CN106131502B (en) * | 2016-08-16 | 2020-03-24 | 深圳英飞拓科技股份有限公司 | Video monitoring method and device for pipe gallery tunnel |
| CN107635115A (en) * | 2017-10-09 | 2018-01-26 | 深圳市天视通电子科技有限公司 | A kind of method, storage medium and electronic equipment for realizing ultralow code check |
| CN109905711A (en) * | 2019-02-28 | 2019-06-18 | 深圳英飞拓智能技术有限公司 | A kind of processing method of image, system and terminal device |
| CN110740328A (en) * | 2019-10-14 | 2020-01-31 | 深圳市天视通电子科技有限公司 | network video image compression method and device |
| CN111970510A (en) * | 2020-07-14 | 2020-11-20 | 浙江大华技术股份有限公司 | Video processing method, storage medium and computing device |
| CN111970510B (en) * | 2020-07-14 | 2023-06-02 | 浙江大华技术股份有限公司 | Video processing method, storage medium, and computing device |
| US20220417532A1 (en) * | 2021-06-23 | 2022-12-29 | Microsoft Technology Licensing, Llc | Using morphological operations to process frame masks in video content |
| US11582464B2 (en) * | 2021-06-23 | 2023-02-14 | Microsoft Technology Licensing, Llc | Using morphological operations to process frame masks in video content |
| CN114466109A (en) * | 2021-12-27 | 2022-05-10 | 天翼云科技有限公司 | Image processing method based on high-speed shooting instrument, terminal equipment and medium |
| CN114466109B (en) * | 2021-12-27 | 2024-03-08 | 天翼云科技有限公司 | Image processing method based on high-speed image shooting instrument, terminal equipment and medium |
| CN114429761A (en) * | 2022-04-01 | 2022-05-03 | 南京有物信息科技有限公司 | Display control method, device and system suitable for multiple terminals |
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