WO2008132378A2 - Procédé et dispositif de régulation du débit de codage de séquences d'images vidéo vis-à-vis d'un débit cible - Google Patents
Procédé et dispositif de régulation du débit de codage de séquences d'images vidéo vis-à-vis d'un débit cible Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
- H04N19/174—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a slice, e.g. a line of blocks or a group of blocks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/103—Selection of coding mode or of prediction mode
- H04N19/107—Selection of coding mode or of prediction mode between spatial and temporal predictive coding, e.g. picture refresh
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/124—Quantisation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/129—Scanning of coding units, e.g. zig-zag scan of transform coefficients or flexible macroblock ordering [FMO]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
- H04N19/136—Incoming video signal characteristics or properties
- H04N19/14—Coding unit complexity, e.g. amount of activity or edge presence estimation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
- H04N19/146—Data rate or code amount at the encoder output
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
- H04N19/61—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding in combination with predictive coding
Definitions
- the invention relates to the coding of video image sequences, in particular the regulation of the coding bit rate of the video coders, with respect to a target bit rate.
- a sequence of video images is composed of successive images, some of these images, designated I-images, being coded in intraframe mode, or without reference to the past represented by the preceding images of this sequence.
- images either in Interframe mode, designated images P, then a new image I, and so on.
- the predictive coding of the images P substantially reduces the volume of coded data, while maintaining a reasonable coding complexity.
- any image I is by definition autonomous from the point of view coding, since the coding of the latter, non-predictive, does not appeal to the content of any previous image .
- a stream of images or sequences of video images is said to random access when any image is accessible within a technically acceptable time. If, on the other hand, no image I is inserted in the flow or the sequence of video images, which is technically conceivable, the stream can not be regarded as random access, because access to the content of any image of determined rank theoretically depends on all previous images.
- the encoding of streams or constant bit rate video sequences is executed from known prior art processes, as shown in FIG. 1b.
- This process may consist in choosing a determined quantization step Q , which it is estimated a priori that the latter will produce the desired image size.
- a first loop represented in FIG. 1b, operates at the temporal level of the succession of images by:
- the second aforementioned loop can operate in a manner similar to that illustrated in Figure Ib, and for this reason, is not shown in the drawing. It thus makes it possible, for each block Bj of the current image, to determine the quantization step Qj applicable to the latter, as a function of its complexity Cj, the model M being adapted once the block Bj has been coded.
- More recent video encoding standards provide encoding processes for encoding an image I spread over a plurality of P-pictures, referred to as progressive encoding. This new process makes it possible to dispense with the notion of image I.
- each image of the stream or video sequence is subdivided into zones that are successively coded in blocks in intraframe mode, by ensuring, on the one hand, that at the end of a determined number of successive images all the zones of the image will have been encoded in Intra, the image I having thus been distributed over the determined number of images, and, on the other hand, that the parts of images encoded in Intertram mode do not use the non-image area. still refreshed, in order to preserve the past information of the predictive coding.
- the video encoder can signal the video decoder that it transmits this type of image in progressive encoding.
- the video decoder can, on reception, synchronize on these images, to ensure random access to the stream.
- the process of progressive coding of images I allows, to a certain extent, the respect of a constraint in terms of video image bitrate, while guaranteeing random access to the video stream, the successive coding process of the blocks , according to a geometric scanning of the image, from top to bottom, does not give complete satisfaction and does not allow to respect with a small margin of error the constraint of flow in terms of target image size.
- T T + ⁇ in which T denotes the size of the real image, after coding, T the estimated size of the image, given by the computational model and ⁇ the absolute encoding error on the size, strictly increasing function of the size T.
- the object of the present invention is to overcome the drawbacks and limitations of the prior art, with the aim of ensuring as fine a regulation as possible of the flow rate or sequences of video images, in particular coded in progressive coding.
- Another object of the present invention is also the implementation of a method and a device for regulating the flow coding rate or video image sequences making it possible to minimize the absolute encoding error of any image, regardless of the complexity of the image considered.
- Another object of the present invention is finally the implementation of the method and the device that are the subject of the invention in an application to remote network video surveillance, thanks to which the fine flow rate regulation makes it possible to avoid any transmission collision. image and promote real-time control of any monitoring organ.
- the method and the device for regulating the coding rate of video image sequences with respect to a target bit rate, represented by an image target size, objects of the invention operate on video images subdivided into a set of areas to code.
- the estimated size of the set of fields to code is the size of the coded zones, the estimated size of the zones to be coded and an estimated coding error of the zones to be coded.
- each consists of, respectively, makes it possible to discriminate, among the zones to be coded from this set of zones to be coded, the coding complexity of each zone to be coded, to classify the zones to be coded according to a determined order of complexity. , successively coding each zone to be coded according to the classification of complexity order, decreasing, successively minimizing the estimated coding error of each zone to be coded, the final size of each image vis-à-vis the target size , and optimizing the video image sequence rate.
- the method and the device that are the subject of the invention are furthermore remarkable in that, in the context of an application to network video surveillance, including a remote control of a video surveillance camera, from a host terminal by an operator, each consists respectively of allowing, for each current image of rank p belonging to successive sequences of N images l ⁇ p ⁇ N, to subdivide each current image into a set of N superimposed coding zones, each formed by a plurality of pixel lines, discriminating among the zones to be coded the coding complexity of each zone to be coded, choosing one of the zones to be coded as the first zone to be coded and applying an Intratrame coding, with a minimum quantization step, to obtain maximum coding complexity for this first zone to be encoded, coding in interframe coding the zone to be coded immediately greater than this first zone, with application of a step of reduced quantification, to preserve the fineness of coding of this zone, coding in Intertrame coding each of the remaining coding zones, according to their classification of order of complexity,
- the method and the device of the invention are applicable to video coding technology, network video streaming and their applications, such as, in particular, network video surveillance.
- FIG. 2a represents, by way of illustration, a general flowchart of FIGS. essential steps allowing the implementation of the method which is the subject of the present invention
- FIG. 2b represents, by way of illustration, a specific flowchart making it possible to minimize the estimated coding error of each zone to be coded
- FIG. 3a represents, by way of illustration, a specific flowchart of the essential steps for implementing the method that is the subject of the invention in an application to network video surveillance;
- FIG. 3b represents, by way of illustration, a specific example of implementation of the method which is the subject of the invention applied to the network video surveillance;
- FIG. 3c represents, by way of illustration, a representative chronogram, by way of comparison, of the number of bits per image during a typical video surveillance sequence in the absence, respectively, in the presence of the implementation of the method which is the subject of the invention;
- FIG. 4 represents, by way of illustration, a functional block diagram of a device for regulating the coding bit rate of video image sequences that is the subject of the invention, making it possible to implement the method and / or any application thereof. last to the video surveillance.
- a more detailed description of the method and device for regulating the coding rate of video image sequences, with respect to a target bit rate represented by an image target size, in accordance with the subject of the present invention. will now be given in connection with Figure 2a and the following figures.
- the method which is the subject of the invention applies as indicated previously in the description to the regulation of the coding rate of video image sequences vis-à-vis a target bit rate represented by a target size T c of given image.
- any image F ' K is considered , k denoting the rank of the image considered in the above-mentioned image sequence, each video image being subdivided into a set of zones to be encoded, this together being noted , N denoting the number of zones to be coded in each image F ⁇ considered and Fkj designating each zone to be encoded of the aforementioned image.
- the estimated size of the set of zones to be coded ⁇ k , i J j ⁇ ⁇ > is a function during the coding process of the size of the zones already coded, the estimated size of the zones to be encoded or remaining to be coded and an estimated coding error of the zones to be coded, the error
- the method which is the subject of the invention is remarkable in that it consists, at least for each image F i prior to any coding of an area, of discriminating in one step A among the zones to be coded of all the zones to be coded , the coding complexity of each zone to code F ⁇ j.
- the discrimination operation is noted: Discrimination
- step A it is understood that the application of a computational model M to the set of areas to be coded Fkj makes it possible to obtain a set of coding complexity coefficients of each zone to be coded, this set being noted.
- step A The operation of step A is followed by a step B of classifying the zones to be coded according to a determined order of complexity.
- step B Classification c / fc, kr ⁇ o ⁇ c ⁇ ⁇ £. It will be understood that, by the above-mentioned classification operation, the latter consists in classifying, in order of magnitude, the coding complexity coefficients Cj obtained in step A, the classification by order of magnitude being a priori possible to be carried out in ascending order or descending.
- step B of FIG. 2a the application of the classification or sorting function of the coding complexity coefficients Cj makes it possible to obtain a set of values sorted in ascending or descending order denoted o ⁇ c o ⁇ Z -
- step B is then followed by a step C consisting in successively encoding each zone to be coded as a function of the decreasing complexity order classification of the coding complexity coefficients Cj obtained in step B.
- the aforesaid coding operation consists in fact, as represented in step C of FIG. 2a, in coding by applying a quantization step Q 3 - to each zone to be coded F 1 and successively minimizing estimated coding error ê ⁇ of each zone to be coded F k j, the final size of each image after coding, final size denoted T *, vis-à-vis the target size Tc and finally optimizing the bit rate of the sequence corresponding video images.
- each zone to be encoded F ⁇ j is encoded successively one after the other without that their complexity is taken into account.
- / "compared to the target size T c serves to adjust the coding parameters, such as the quantization step for the coding area of current rank i.
- Minimizing the aforementioned error term thus amounts to minimizing all the coding error values ⁇ t of each zone to be coded F k j.
- the coding errors ⁇ ⁇ are proportional to the sizes T of each zone and therefore to the complexity of each of the zones to be coded F ⁇ j.
- the method that is the subject of the invention makes it possible, on the contrary, to cut out a sequence of video images to be encoded in zones to be coded, to classify the complexity of the zones to be encoded and to code the sequence of images. in descending order of complexities, so as to begin coding by the areas occupying the most space and ending with the image areas to be coded occupying the least space.
- the last zones to be coded then have two advantages: they have a very reliable estimate of the remaining size, and, being of smaller complexity successively, their coding error is small and it is therefore unlikely that the error which affects them results in exceeding the target size of the image Tc and thus buffers.
- the coding complexity of each zone to be coded Fy is defined as the estimated size, in bytes, occupied by the zone to be encoded above after coding, for a quality of zone and of determined image. .
- the coding complexity Cj of each zone to be coded can be estimated from at least the quantization step Qj to be applied during the coding and metrics process of the zone to be coded. of the current image F k , vis-à-vis at least one coded area of the previous image.
- Te denotes the estimated size of the zone to be coded Fy.
- C represents its complexity typically the sum of absolute value of the differences designated SAD;
- Q represents the quantization step applied to the zone to be coded Fy ;
- a and b are parameters related to the sequence of dynamically adjusted images being encoded.
- the process for minimizing the estimated error of each zone to be coded Fy consists at least of successively adapting the quantization step Qj applied to the coding of each zone to be coded Fy.
- step C of FIG. 2a mentioned above can consist, as represented in FIG. measuring the remaining size for encoding the image vis-à-vis the target size T c of the image and a step C 2 of performing the operation of predicting the area to be encoded Fy, as shown in FIG. Figure 2b.
- the aforementioned prediction operation is executed when executing an interframe encoding for example.
- Step C 3 is then followed by a step C 4 making it possible to execute the actual coding of the zone to be coded F k3 by applying the quantization step Q 3 determined in step C 3 .
- a return to the execution of steps Ci and C 2 is provided for the coding of the next zone to be encoded as shown in the drawing of FIG. 2b.
- the method which is the subject of the invention as described above with reference to FIGS. 2a and 2b can be implemented in order to ensure a substantially constant video image encoding rate for the transmission of the latter.
- the method of the invention applies particularly advantageously to network video surveillance to ensure, in particular, the transmission of image sequences for the control of monitoring organs for example.
- the video signal that is to say the successive sequences of video images, is compressed for example to the H.264 standard.
- the video stream must be random access, in particular, to facilitate the visualization of what happened at a given moment or in a range of very short time at course of a given moment and it is then essential that the flow is respected very precisely.
- the network equipment buffers part of the stream of video images or worse the stream is lost.
- the video sequence is then delayed compared to the filmed scene and the operator can not effectively control his surveillance camera.
- the method which is the subject of the invention then consists in coding a part of an image considered in intraframe mode so that the entire image has been coded in intraframe mode after a number N successive images.
- a stream of video images is considered, each video image being denoted by Fk as noted above, where k denotes the rank of the image for example.
- Fk the rank of the image for example.
- Any sequence is considered successive N images in the aforementioned video stream, each image in each sequence of N images being noted F p , where p is actually the rank of each image in the sequence considered.
- the method that is the subject of the invention applied to video surveillance then consists of a step a to subdivide each current image into a set of N superimposed coding zones, each zone being formed by a plurality of lines of pixels.
- step a of FIG. 3a the subdivision operation is noted:
- Step a is followed by a step b consisting in discriminating among the zones to be coded F P j the coding complexity of each zone to be coded. This operation is noted in Figure 3a Discrimination
- Step b is followed by a step of choosing one of the zones to be coded as the first zone to be coded and applying an intratrame coding with a minimum quantization step to obtain a maximum coding complexity for the first zone to be coded. code above.
- step c is thus subdivided into two sub-steps C1 of choice of the first zone, denoted First choice zone
- the index j chosen sj O representing this choice in FIG. 3a.
- Substep 1 Cl is followed by a substep c2_ of performing intraframe coding of the first selected zone, this operation being written to the c2_ substep:
- the Intratrame coding applied to the first zone the minimum quantization step noted Qjo is applied, which makes it possible to obtain a maximum coding complexity for the first zone to be coded.
- step c is then followed by a step of coding in Intertram coding the zone to be coded adjacent immediately greater than the first zone with application of a reduced quantization step to preserve the details of this zone which, at the same time, previous image was encoded in Intratame mode.
- step d of FIG. 3a The operation in step d of FIG. 3a is noted
- CodiNTER (Qsj-1, Fpsi-1) •
- the quantization step Q S ji is decreased with respect to the quantization step Q 30 applied to sub-step c2_ of FIG. 3a to the first zone.
- Step d is then followed by a step e of coding each of the remaining coding areas in terms of their order of decreasing complexity as described in the description with reference to FIGS. 2b.
- this operation is performed by successively minimizing the estimated coding error of each zone to be coded remaining and the final size of each current image with respect to the aforementioned target size.
- step e of FIG. 3a the Intertrame coding operation is noted Inter Coding
- CodiN T ER (Qnr, F P3r! Jr ⁇ sj, sj -1 .
- the coding operation is applied with a quantization step Qj r to each of the remaining coding zones of index jr , of course choosing the corresponding quantization step Qj r
- the quantization step Q 31 - is calculated for each of the remaining zones of rank jr.
- Step e is then followed by a step f_ of successively repeating the operations a to e for each image of rank p + 1 according to the current image, by choosing as the first zone to be coded one of the zones to be coded from distinct rank, among the p preceding images, of the rank of the coded zones as the first zone to be coded.
- This mode of operation makes it possible to preserve the random access to the sequences of images.
- the sub-step ⁇ 2 is followed by a sub step £ 3 of verification that the last image of the sequence of N images is not reached by the test p> N.
- a return is made in step a for passage to the next image of rank p + 1.
- the last image of rank N in the image sequence is reached and the process is completed for the sequence of N successive images above, the process of course continuing for any sequence of next images of the video image stream.
- step cJL of choosing the first image area to be encoded it is indicated that several solutions can be retained for each image of successive rank p in a sequence of N images. According to a first nonlimiting variant, this choice can be made by circular permutation of a zone to be coded among N.
- this choice can be made for each successive current image by exhaustive pseudo-random drawing of an area to be coded from N- (pl). .
- the image area, which in the previous image was coded in intraframe mode, is then coded with a reduced quantization step.
- FIG. 3a An exemplary implementation of the method that is the subject of the invention applied to video surveillance, as represented in FIG. 3a, will now be described with reference to FIG. 3b when applying video surveillance images of a construction site. for example.
- the image is then cut into arbitrary zones, typically 3 16 ⁇ 16 pixel block lines, ie 48 pixels high along the length of the image for example.
- the quantization step to be applied Qj 0 , Q a ji or Qj r is modified in
- the quantization step is increased. Otherwise, it is decreased.
- the complexity of their areas is adjusted in certain areas by artificially reducing the quantization step in order to promote the quality of these.
- the first image zone coded in Intraframe is then always supposed to have a higher complexity than those coded in Intertram mode and thus systematically coded first.
- This zone carries the rank 0 in FIG. 3b and therefore corresponds to the choice of the first zone in step c_l of FIG. 3a.
- the coding of the zone above this zone chosen first and encoded in intraframe mode is then carried out, this zone carrying the rank 1 in FIG. 3b. This makes it possible to avoid degrading the quality of the areas that have just been refreshed by the Intratrame coding.
- Refreshed zones are defined as all the zones that have been coded in Intraframe mode since the beginning of the progressive refresh.
- the remaining zones are then classified according to their complexity and are coded in decreasing order of their complexity in accordance with the method that is the subject of the invention, as previously illustrated and described with reference to FIGS. 2a and 2b.
- the zones coded in FIG. 3b successively carry the ranks 2, 3, 4 and 5 to 14 according to their complexity and unrelated to their location in the image Fk.
- this procedure is made possible thanks to several tools that guarantee the independence of the data between the zones.
- the coding order is not necessarily correlated with the order of sending packets on the network for the transmission of video image sequences.
- the packets can be coded in an order, that is to say according to their complexity and not according to the geometry of the image, then they can be reorganized and sent in the classical order corresponding to the geometric coding of the aforementioned image.
- FIG. 3b shows the division of the image into different zones, the choice of the first zone denoted 0 corresponding to the coding in intraframe mode and above this latter being the so-called "constrained" zone whose temporal prediction is limited. to itself, in order to use no data from the area below the Intraframe area.
- the coding order of the remaining image areas to be encoded remaining is then determined according to the complexity of these areas by means of a criterion of sum of the absolute values of the differences, as described previously in the description.
- the estimated size T of the image is the estimated size T of the image.
- the quantization step of each zone is influenced by the estimated size of the image.
- table T it can be seen that the implementation of the method, which is the subject of the invention, makes it possible to very significantly reduce the error obtained with respect to the standard error, "invention” compared with to "standard ⁇ ”, and thus makes it possible to adjust, very finely, the quantization step for each zone. This results in an image that respects, in a very fine way, the fixed target rate.
- FIG. 4 A more detailed description of a video image sequence encoding rate control device with respect to a target bit rate, represented by an image target size, according to the object of the present invention and allowing, of course, the implementation of the method which is the subject of the invention will now be given in conjunction with FIG. 4.
- the device which is the subject of the invention can be integrated into an encoder more complex video or implemented on a stand-alone machine for video coding itself.
- the video images are subdivided into a set of areas to be coded and the estimated size of the set of areas to be coded is a function of the size of the coded areas, the estimated size of the areas to be coded and a number of areas to be coded. estimated coding error of the zones to be coded, as mentioned previously in the description.
- the device according to the invention in addition to the conventional elements such as an input / output port, denoted I / O, of digital data representative of a video image to be encoded or of coded data and a central processing unit, denoted CPU, associated with a RAM working memory advantageously comprise a discrimination module Ml for the zones to be encoded of the set of zones to be coded for the coding complexity, a module M2 for classifying the zones to be coded in a decreasing order of complexity and a successive coding module M3 of each zone to be coded, as a function of the above-mentioned complexity order classification, by successively minimizing the estimated error of coding of each zone to be coded, the final size of each image vis-à-vis of the target size and thus optimizing the video image sequence rate.
- a discrimination module Ml for the zones to be encoded of the set of zones to be coded for the coding complexity
- a module M2 for classifying the zones to be coded in a decreasing order of complexity
- the discrimination module M1, the classification module M2 and the successive coding module of each zone to be coded M3 as a function of the complexity order classification are advantageously each formed by a computer program module implanted in a single or multiple program memory module.
- module M1 among the zones to be encoded of the set of zones to be coded, of the coding complexity of each zone to be coded, it is indicated that the latter can be formed by a programmable memory.
- Such a programmable memory then makes it possible to adapt the discrimination process of the coding complexity of each zone to be coded according to the content of one or more video image sequences for example.
- the invention finally covers a computer program product for implementing the method that is the subject of the invention, as described with reference to FIGS. 2a to 3c, such a program product being implemented for execution by a computer, as shown in FIG. 4, in one or more program modules, such as the aforementioned modules Ml, M2 and M3.
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GB0916386A GB2459633A (en) | 2007-03-21 | 2008-03-20 | Method and device for adjusting the encoding flowrate of video image sequences relative to a target flowrate |
US12/532,384 US8279944B2 (en) | 2007-03-21 | 2008-03-20 | Method and device for regulating the encoding bit rate of video image sequences relative to a target bit rate |
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FR0702063 | 2007-03-21 | ||
FR0702063A FR2914124B1 (fr) | 2007-03-21 | 2007-03-21 | Procede et dispositif de regulation du debit de codage de sequences d'images video vis-a-vis d'un debit cible |
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WO2010057170A1 (fr) * | 2008-11-17 | 2010-05-20 | Cernium Corporation | Codage à modulation analytique d'une vidéo de surveillance |
CN102164272A (zh) * | 2011-04-07 | 2011-08-24 | 天津市亚安科技电子有限公司 | 在网络视频监控平台中减少云台控制延时的方法 |
CN103918258A (zh) * | 2011-11-16 | 2014-07-09 | 瑞典爱立信有限公司 | 减少视频编码中的数据量 |
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- 2008-03-20 US US12/532,384 patent/US8279944B2/en active Active
- 2008-03-20 GB GB0916386A patent/GB2459633A/en not_active Withdrawn
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US6175654B1 (en) * | 1998-03-26 | 2001-01-16 | Intel Corporation | Method and apparatus for encoding data in an interframe video encoder |
WO2000046999A1 (fr) * | 1999-02-03 | 2000-08-10 | Sarnoff Corporation | Selection de quantificateurs en fonction des complexites par region derivees au moyen d'un modele de distorsion de debit |
US20060056519A1 (en) * | 2001-12-21 | 2006-03-16 | Michael Horowitz | Dynamic intra-coded macroblock refresh interval for video error concealment |
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US20100296586A1 (en) | 2010-11-25 |
GB0916386D0 (en) | 2009-10-28 |
GB2459633A (en) | 2009-11-04 |
US8279944B2 (en) | 2012-10-02 |
FR2914124A1 (fr) | 2008-09-26 |
FR2914124B1 (fr) | 2009-08-28 |
WO2008132378A3 (fr) | 2008-12-24 |
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