CN116708786A - Video coding method and device, equipment and storage medium - Google Patents
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- 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
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Abstract
The present disclosure relates to the field of computer technologies, and in particular, to a video encoding method and apparatus, a device, and a storage medium. The video coding method comprises the following steps: acquiring a coefficient block set corresponding to any one frame of image in at least one frame of image corresponding to initial video information, wherein the coefficient block set comprises at least one coefficient block, the coefficient block is a coefficient matrix, and any coefficient in the coefficient matrix is determined by an image pixel value corresponding to any coefficient; scanning the coefficient block set, and quantizing the target coefficient block under the condition that at least one coefficient in the target coefficient block meets a quantization condition to obtain at least one quantized coefficient block corresponding to any frame of image, wherein the target coefficient block is any coefficient block in the coefficient block set; and carrying out entropy coding on at least one quantization coefficient block corresponding to any frame of image to obtain target video information. The video coding speed can be improved by adopting the method and the device.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a video encoding method and apparatus, a device, and a storage medium.
Background
Quantization is the core process of video compression standards and is also one of the main sources of compression quality loss. The quantization efficiency is improved, so that a larger coding performance gain can be brought to a video compression task, and the calculation speed of the quantization module is improved, so that the overall video coding speed can be improved.
In the related art, when a coefficient block set corresponding to any frame image is quantized in a video encoding process, each coefficient block (Coefficient Group, CG) in the coefficient block set needs to be quantized in sequence. However, some CG becomes all-zero CG with zero coefficients after quantization, and quantization of such CG wastes computation time, resulting in slower video encoding speed.
Disclosure of Invention
The present disclosure provides a video encoding method, apparatus, device and storage medium, so as to at least solve the problem of low video encoding speed in the related art. The technical scheme of the present disclosure is as follows:
according to a first aspect of an embodiment of the present disclosure, there is provided a video encoding method, including:
acquiring a coefficient block set corresponding to any one frame of image in at least one frame of image corresponding to initial video information, wherein the coefficient block set comprises at least one coefficient block, the coefficient block is a coefficient matrix, and any coefficient in the coefficient matrix is determined by an image pixel value corresponding to any coefficient;
Scanning the coefficient block set, and quantizing a target coefficient block under the condition that at least one coefficient in the target coefficient block meets a quantization condition to obtain at least one quantized coefficient block corresponding to any frame of image, wherein the target coefficient block is any coefficient block in the coefficient block set;
and carrying out entropy coding on at least one quantization coefficient block corresponding to any frame of image to obtain target video information.
Optionally, the acquiring the coefficient block set corresponding to any frame image in at least one frame image corresponding to the initial video information includes:
obtaining the size of a coefficient block corresponding to the coefficient block;
dividing any one of at least one frame of image corresponding to the initial video information into at least two transformation blocks, wherein the size of the transformation block corresponding to the transformation block is larger than that of the coefficient block;
and dividing each transformation block in the at least two transformation blocks based on the size of the coefficient block to obtain a coefficient block set corresponding to the image of any frame.
Optionally, the scanning the set of coefficient blocks includes:
acquiring a scanning sequence corresponding to any frame of image;
and scanning all the coefficient blocks in the coefficient block set in turn according to the scanning sequence.
Optionally, the quantizing the target coefficient block when at least one coefficient in the target coefficient block meets the quantization condition includes:
and quantizing the target coefficient block under the condition that at least one coefficient in a coefficient matrix corresponding to the target coefficient block is not smaller than a coefficient threshold value.
Optionally, after the scanning the set of coefficient blocks, the method further includes:
determining the target coefficient block as an all-zero coefficient block under the condition that all coefficients in a coefficient matrix corresponding to the target coefficient block do not meet a quantization condition;
the block of all zero coefficients is not quantized.
Optionally, the method further comprises:
determining a quantization step length and a target adjustment coefficient;
and determining the coefficient threshold according to the quantization step length and the target adjustment coefficient.
Optionally, the determining the target adjustment coefficient includes:
determining a coefficient block type corresponding to the target coefficient block;
and determining a target adjustment coefficient corresponding to the target coefficient block from an adjustment coefficient set according to the coefficient block type, wherein the adjustment coefficient set comprises at least one adjustment coefficient, and the adjustment coefficient corresponds to the coefficient block type one by one.
Optionally, before the determining, from the adjustment coefficient set, the target adjustment coefficient corresponding to the target coefficient block, the method further includes:
acquiring test video information, wherein the test video information comprises at least one frame of test image, and the at least one frame of test image corresponds to at least one coefficient block type;
encoding the at least one frame of test image by adopting at least one test coefficient in a test coefficient set to obtain an adjustment coefficient which corresponds to any coefficient block type in the at least one coefficient block type and meets the requirement of a test result;
and adding the any coefficient block type and the adjusting coefficient corresponding to the any coefficient block type to the adjusting coefficient set.
According to a second aspect of embodiments of the present disclosure, there is provided a video encoding apparatus including:
a set acquisition unit configured to perform acquisition of a coefficient block set corresponding to any one of at least one frame of image corresponding to initial video information, the coefficient block set including at least one coefficient block, the coefficient block being a coefficient matrix, any one coefficient in the coefficient matrix being determined by an image pixel value corresponding to the any one coefficient;
the coefficient quantization unit is configured to perform scanning on the coefficient block set, quantize a target coefficient block under the condition that at least one coefficient in the target coefficient block meets quantization conditions, and obtain at least one quantized coefficient block corresponding to any frame of image, wherein the target coefficient block is any coefficient block in the coefficient block set;
And the image coding unit is configured to perform entropy coding on at least one quantization coefficient block corresponding to any frame of image to obtain target video information.
Optionally, the set obtaining unit is configured to obtain the coefficient block set corresponding to any one of at least one frame of image corresponding to the initial video information, and specifically configured to perform:
obtaining the size of a coefficient block corresponding to the coefficient block;
dividing any one of at least one frame of image corresponding to the initial video information into at least two transformation blocks, wherein the size of the transformation block corresponding to the transformation block is larger than that of the coefficient block;
and dividing each transformation block in the at least two transformation blocks based on the size of the coefficient block to obtain a coefficient block set corresponding to the image of any frame.
Optionally, the coefficient quantization unit is configured to perform, when scanning the set of coefficient blocks, specifically configured to perform:
acquiring a scanning sequence corresponding to any frame of image;
and scanning all the coefficient blocks in the coefficient block set in turn according to the scanning sequence.
Optionally, the coefficient quantization unit is configured to perform quantization on a target coefficient block if at least one coefficient in the target coefficient block satisfies a quantization condition, and specifically configured to perform:
And quantizing the target coefficient block under the condition that at least one coefficient in a coefficient matrix corresponding to the target coefficient block is not smaller than a coefficient threshold value.
Optionally, the coefficient quantization unit is configured to perform, after said scanning of said set of coefficient blocks, further configured to perform:
determining the target coefficient block as an all-zero coefficient block under the condition that all coefficients in a coefficient matrix corresponding to the target coefficient block do not meet a quantization condition;
the block of all zero coefficients is not quantized.
Optionally, the coefficient quantization unit is further configured to perform:
determining a quantization step length and a target adjustment coefficient;
and determining the coefficient threshold according to the quantization step length and the target adjustment coefficient.
Optionally, the coefficient quantization unit is configured to perform determining the target adjustment coefficient, and is specifically configured to perform:
determining a coefficient block type corresponding to the target coefficient block;
and determining a target adjustment coefficient corresponding to the target coefficient block from an adjustment coefficient set according to the coefficient block type, wherein the adjustment coefficient set comprises at least one adjustment coefficient, and the adjustment coefficient corresponds to the coefficient block type one by one.
Optionally, before the determining, from the set of adjustment coefficients, a target adjustment coefficient corresponding to the target coefficient block, the coefficient quantization unit is configured to perform:
acquiring test video information, wherein the test video information comprises at least one frame of test image, and the at least one frame of test image corresponds to at least one coefficient block type;
encoding the at least one frame of test image by adopting at least one test coefficient in a test coefficient set to obtain an adjustment coefficient which corresponds to any coefficient block type in the at least one coefficient block type and meets the requirement of a test result;
and adding the any coefficient block type and the adjusting coefficient corresponding to the any coefficient block type to the adjusting coefficient set.
According to a third aspect of embodiments of the present disclosure, there is provided an electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the video encoding method of any one of the preceding aspects.
According to a fourth aspect of the present application, there is provided a storage medium, which when executed by a processor of an electronic device, enables the electronic device to perform the video encoding method of any one of the preceding aspects.
According to a fifth aspect of the present application there is provided a computer program product comprising a computer program which, when executed by a processor, implements the method of any of the preceding aspects.
The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects:
in some or related embodiments, a video encoding method includes: acquiring a coefficient block set corresponding to any one frame of image in at least one frame of image corresponding to initial video information, wherein the coefficient block set comprises at least one coefficient block, the coefficient block is a coefficient matrix, and any coefficient in the coefficient matrix is determined by an image pixel value corresponding to any coefficient; scanning the coefficient block set, and quantizing the target coefficient block under the condition that at least one coefficient in the target coefficient block meets a quantization condition to obtain at least one quantized coefficient block corresponding to any frame of image, wherein the target coefficient block is any coefficient block in the coefficient block set; and carrying out entropy coding on at least one quantization coefficient block corresponding to any frame of image to obtain target video information. Therefore, by quantizing only the coefficient blocks satisfying the quantization condition, the quantization of all-zero coefficient blocks can be reduced, the video encoding time can be saved, and the video encoding speed can be improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure and do not constitute an undue limitation on the disclosure.
FIG. 1 is a flowchart illustrating a first video encoding method according to an exemplary embodiment;
FIG. 2 is a flowchart illustrating a second video encoding method according to an exemplary embodiment;
FIG. 3 is a schematic diagram of a block of coefficients according to an exemplary embodiment;
FIG. 4 is a block diagram of a video encoding apparatus according to an exemplary embodiment;
fig. 5 is a block diagram of an electronic device, according to an example embodiment.
Detailed Description
In order to enable those skilled in the art to better understand the technical solutions of the present disclosure, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the foregoing figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the disclosure described herein may be capable of operation in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
Encoding refers to the process of converting information from one form or format to another. Encoding in embodiments of the present disclosure refers to video encoding. The video coding refers to a process of reducing the volume or code rate of video data and reducing the original video file for storage under the condition of meeting a certain quality by a compression technology.
Quantization refers to the process of mapping a continuous value (or a large number of possible discrete values) of a signal to a finite number of discrete values, implementing a many-to-one mapping of signal values. In the video coding process, after the residual signal is transformed, for example, discrete cosine transformed or discrete sine transformed, coefficients in each coefficient block (Coefficient Group, CG) in the coefficient block set corresponding to any frame of image often have a larger dynamic range, so that the signal value space can be effectively reduced by quantizing the coefficient blocks, and a better compression effect is obtained.
In the related art, when the coefficient blocks are quantized in the video encoding process, each CG in the coefficient block set corresponding to any frame of image needs to be quantized according to the sequence, so as to obtain a quantized coefficient block corresponding to each CG. Then, all-zero block detection is performed at the quantized coefficient block level using the features of the entire quantized coefficient block.
It is easy to understand that when CG is quantized, some CG becomes all-zero CG with zero coefficients after quantization, and quantization of such CG wastes computation time, resulting in slower video encoding speed and efficiency. Meanwhile, the detection of all zero blocks by utilizing the characteristics of the whole quantized coefficient block at the quantized coefficient block level needs to be calculated by adopting a corresponding calculation formula, and the coding complexity is high.
Fig. 1 is a flowchart illustrating a first video encoding method according to an exemplary embodiment, which may be applied to a video encoding scene as shown in fig. 1, including the steps of:
in step S11, a coefficient block set corresponding to any one of at least one frame of image corresponding to the initial video information is obtained;
according to some embodiments, the initial video information refers to video information to be encoded. The initial video information is composed of at least one frame of image.
In some embodiments, the set of coefficient blocks includes at least one coefficient block, the coefficient block being a coefficient matrix, any coefficient in the coefficient matrix being determined by an image pixel value corresponding to any coefficient.
In some embodiments, the image recognition is performed on any frame of image to obtain an image pixel value matrix corresponding to the any frame of image, where the image pixel value matrix includes an image pixel value sub-matrix set, image pixel value sub-matrices in the image pixel value sub-matrix set are in one-to-one correspondence with coefficient blocks in the coefficient block set, and image pixel values in the image pixel value sub-matrices are in one-to-one correspondence with coefficients in the coefficient matrix.
In some embodiments, the image pixel value refers to a value given by a computer when the document image is digitized, which represents the average luminance information of a certain small square (pixel) of the document image, or the average reflection (transmission) density information of that small square. The image pixel value is not specific to a certain fixed image pixel value. For example, when an image pixel value is represented in 8-bit binary, the image pixel value ranges from 0 to 255. When an image pixel value is represented in a 12-bit binary system, the image pixel value ranges from 0 to 4096. When an image pixel value is represented in 16-bit binary, the image pixel value ranges from 0 to 65536.
It is easy to understand that, when video encoding is performed, a CG set corresponding to any one of at least one frame image corresponding to the initial video information may be acquired.
In step S12, the set of coefficient blocks is scanned, and if at least one coefficient in the target coefficient block satisfies the quantization condition, the target coefficient block is quantized to obtain at least one quantized coefficient block corresponding to any frame of image;
according to some embodiments, the target coefficient block is any coefficient block in the coefficient block set;
In some embodiments, the quantization condition refers to a condition employed in determining whether the target coefficient block needs quantization. The quantization condition is not particularly limited to a certain fixed condition. For example, a transformation may occur when a conditional modification instruction for a quantization condition is obtained.
According to some embodiments, the quantized coefficient block refers to a coefficient block obtained by quantizing a target coefficient block.
It is easy to understand that when a coefficient block set corresponding to any one of at least one frame of image corresponding to the initial video information is obtained, the coefficient block set may be scanned, and if at least one coefficient in the target coefficient block satisfies a quantization condition, the target coefficient block is quantized to obtain at least one quantized coefficient block corresponding to any one frame of image.
In step S13, entropy encoding is performed on at least one quantization coefficient block corresponding to any frame of image, so as to obtain target video information.
According to some embodiments, entropy encoding refers to encoding within the limits of information entropy. The source entropy is the minimum number of bits required to encode the source average, and therefore entropy encoding may also be referred to as lossless compression.
In some embodiments, the target video information refers to video information obtained by video encoding the initial video information.
It is easy to understand that, when at least one quantized coefficient block corresponding to any frame image is obtained, entropy encoding may be performed on at least one quantized coefficient block corresponding to any frame image to obtain target video information.
In summary, according to the method provided by the embodiment of the present disclosure, a coefficient block set corresponding to any one frame image in at least one frame image corresponding to initial video information is obtained; scanning the coefficient block set, and quantizing the target coefficient block under the condition that at least one coefficient in the target coefficient block meets the quantization condition to obtain at least one quantized coefficient block corresponding to any frame of image; and carrying out entropy coding on at least one quantization coefficient block corresponding to any frame of image to obtain target video information. Therefore, by quantizing only the coefficient blocks satisfying the quantization condition, the quantization of all-zero coefficient blocks can be reduced, the video encoding time can be saved, and the video encoding speed can be improved. Meanwhile, all-zero block detection is carried out on each coefficient block at the coefficient block level, so that all-zero block detection can be carried out by utilizing the characteristics of the whole quantized coefficient block at the quantized coefficient block level, and the coding complexity can be reduced.
Fig. 2 is a flowchart illustrating a second video encoding method according to an exemplary embodiment, and as shown in fig. 2, the video encoding method is applied to a video encoding scene, and includes the following steps:
in step S21, a coefficient block size corresponding to the coefficient block is obtained;
according to some embodiments, the coefficient block size refers to the number of rows and columns of the coefficient matrix corresponding to the coefficient block, and in the embodiments of the present disclosure, the number of rows and columns of each coefficient matrix are the same, for example, the coefficient block size may be 4*4, 2×2.
In some embodiments, when the coefficient block is 4*4, the coefficient matrix corresponding to the coefficient block includes 16 coefficients, and each coefficient may be an image pixel value corresponding to the coefficient.
It is easy to understand that when video encoding is performed, the coefficient block size corresponding to the coefficient block can be obtained.
In step S22, any one of at least one frame of image corresponding to the initial video information is divided into at least two transformation blocks;
according to some embodiments, the transform block corresponds to a transform block size that is larger than the coefficient block size. The transform block size refers to the number of rows and columns of the transform block coefficient matrix corresponding to the transform block, the number of rows and columns of the transform block coefficient matrix may be the same, and the number of rows and columns of the transform block coefficient matrix may be different. For example, the transform block size may be 16×16 or 16×8.
In some embodiments, any frame of image may be divided into at least two transform blocks according to the distribution of image pixel values corresponding to any frame of image.
It is easy to understand that any one of at least one frame image corresponding to the initial video information may be divided into at least two transform blocks when video encoding is performed.
In step S23, each of the at least two transform blocks is divided based on the size of the coefficient block, so as to obtain a coefficient block set corresponding to any frame of image;
in some embodiments, fig. 3 is a schematic diagram of the structure of a coefficient block according to an exemplary embodiment. As shown in fig. 4, the transform block size is 16×16, and the coefficient block size is 4*4, so the 16×16 transform block can be divided into 16 4*4 coefficient blocks.
It is easy to understand that when the coefficient block size corresponding to the coefficient block and at least two transform blocks obtained by dividing any frame image are obtained, each transform block in the at least two transform blocks may be divided based on the coefficient block size to obtain a coefficient block set corresponding to any frame image.
In step S24, a scanning sequence corresponding to any frame of image is acquired;
according to some embodiments, the scan order refers to a scan order employed when performing a quantization scan of at least one coefficient block in any frame of image. The scanning order is not particularly limited to a certain fixed order. For example, the scan order may be an inverse diagonal scan order, as shown in FIG. 3.
In step S25, scanning all the coefficient blocks in the coefficient block set in turn according to the scanning order;
it is easy to understand that when the coefficient block set and the scanning order corresponding to any frame image are acquired, all the coefficient blocks in the coefficient block set may be scanned sequentially according to the scanning order.
In step S26, if at least one coefficient in the coefficient matrix corresponding to the target coefficient block is not smaller than the coefficient threshold, quantizing the target coefficient block to obtain at least one quantized coefficient block corresponding to any frame of image;
according to some embodiments, the coefficient threshold refers to a threshold employed when determining whether the target coefficient block satisfies the quantization condition.
In some embodiments, in determining the coefficient threshold, a quantization step size and a target adjustment coefficient may be determined; and determining a coefficient threshold according to the quantization step length and the target adjustment coefficient. Therefore, the accuracy of coefficient threshold value acquisition can be improved.
In some embodiments, the coefficient threshold may be determined from the product of the quantization step size and the target adjustment coefficient, i.e., t=a×qstep; wherein T is a coefficient threshold and a is a target adjustment coefficient.
According to some embodiments, the quantization step size refers to a step size employed when quantizing the coefficient block. The quantization step is not particularly limited to a certain fixed step. For example, the quantization step size may change when a step size modification instruction for the quantization step size is acquired.
According to some embodiments, the target adjustment coefficient refers to an adjustment coefficient employed when determining whether the target coefficient block satisfies the quantization condition. The target adjustment coefficient is not particularly limited to a certain fixed coefficient. For example, the target adjustment coefficient may change when the target coefficient block changes.
According to some embodiments, when determining the target adjustment coefficient, a coefficient block type corresponding to the target coefficient block may be first determined. Then, according to the type of the coefficient block, a target adjustment coefficient corresponding to the target coefficient block is determined from the adjustment coefficient set. Therefore, the accuracy of target adjustment coefficient acquisition can be improved.
In some embodiments, the coefficient block type refers to type information of a transform block to which the coefficient block corresponds. The coefficient block types include, but are not limited to, the luminance type of the transform block to which the coefficient block corresponds, the transform block size, and the like. The coefficient block types are in one-to-one correspondence with the adjustment coefficients. For example, the transform block corresponding to the coefficient block is a luminance block and the larger the transform block size, the larger the adjustment coefficient corresponding to the coefficient block type.
In some embodiments, a set of adjustment coefficients refers to a set of at least one adjustment coefficient that is aggregated. The set of adjustment coefficients does not refer specifically to a fixed set. For example, the set of adjustment coefficients may change when the adjustment coefficients change.
In accordance with some embodiments, when acquiring the set of adjustment coefficients, first, test video information may be acquired. Then, at least one test coefficient in the test coefficient set can be adopted to encode at least one frame of test image, and an adjustment coefficient which corresponds to any coefficient block type in at least one coefficient block type and meets the requirement of a test result is obtained. Finally, any coefficient block type and the adjustment coefficient corresponding to any coefficient block type may be added to the adjustment coefficient set. Therefore, the accuracy of adjustment coefficient set acquisition can be improved.
In some embodiments, the test video information refers to video information for performing a test, and the test video information may include at least one frame of test image, and in particular, the test video information may be an image sequence composed of each frame of test image. At least one frame of test image corresponds to at least one coefficient block type.
In some embodiments, at least one test coefficient in the set of test coefficients may be a coefficient in the range of 0.8 to 1.5, such as 0.9, 1, 1.1, 1.2, 1.3, etc.
In some embodiments, when a target test coefficient corresponding to any coefficient block type and meeting the requirement of a test result is obtained, test coefficients may be sequentially selected from a range of 0.8 to 1.5 to encode test coefficient blocks of any coefficient block type in any frame of test image, so as to obtain at least one test quantization block, where one test coefficient corresponds to one test quantization block. And then, selecting the test coefficient corresponding to the test quantized block with the highest quality value from the at least one test quantized block as the target test coefficient corresponding to the type of any coefficient block. Therefore, the accuracy of target test coefficient acquisition can be improved.
According to some embodiments, a dependent scalar quantization (Dependent Quantization, DQ) tool may be employed for quantization of the target coefficient block. Specifically, the quantization can be performed by the following formula:
Zij＝round(Wij，Qstep)
wherein Wij is any coefficient in the coefficient block, zij is a quantized coefficient of Wij, qstep is a quantization step, and round (Wij, qstep) refers to rounding the Wij according to a decimal place specified by Qstep. As shown in the above equation, the smaller the quantization step size, the closer Wij is to Zij, i.e., the higher the quality of the quantized coefficient block.
For example, when the target coefficient block is a coefficient block of 4*4, if any coefficient of 16 coefficients in the coefficient block of 4*4 is not smaller than the coefficient threshold T, the coefficient block of 4*4 may be quantized by using DQ tools, to obtain a quantized coefficient block corresponding to the coefficient block of 4*4.
It is easy to understand that when all the coefficient blocks in the coefficient block set are scanned sequentially according to the scanning order to obtain the target coefficient block, the target coefficient block may be quantized to obtain at least one quantized coefficient block corresponding to any frame image under the condition that at least one coefficient in the coefficient matrix corresponding to the target coefficient block is not smaller than the coefficient threshold.
In step S27, determining that the target coefficient block is an all-zero coefficient block when all coefficients in the coefficient matrix corresponding to the target coefficient block do not meet the quantization condition, and not quantizing the all-zero coefficient block;
according to some embodiments, in a case where all coefficients in the coefficient matrix corresponding to the target coefficient block are smaller than the coefficient threshold, it may be determined that all coefficients in the coefficient matrix corresponding to the target coefficient block do not satisfy the quantization condition.
For example, when the target coefficient block is a coefficient block of 4*4, if 16 coefficients in the coefficient block of 4*4 are all smaller than the coefficient threshold T, it may be determined that the coefficient block of 4*4 is an all-zero coefficient block.
It is easy to understand that when all the coefficient blocks in the coefficient block set are scanned sequentially according to the scanning order, and the target coefficient block is obtained, it may be determined that the target coefficient block is an all-zero coefficient block without quantizing the all-zero coefficient block under the condition that all the coefficients in the coefficient matrix corresponding to the target coefficient block do not satisfy the quantization condition.
In step S28, entropy encoding is performed on at least one quantization coefficient block corresponding to any frame of image, so as to obtain target video information.
It is easy to understand that, when the entropy encoding is performed after any frame of image is quantized, at least one quantization coefficient block corresponding to any frame of image may be entropy encoded to obtain the target video information.
In summary, the method provided by the embodiments of the present disclosure first obtains a coefficient block size corresponding to a coefficient block; dividing any frame image in at least one frame image corresponding to the initial video information into at least two transformation blocks; dividing each transformation block in at least two transformation blocks based on the size of the transformation block to obtain a coefficient block set corresponding to any frame of image; therefore, the accuracy of coefficient block set acquisition can be improved. Then, acquiring a scanning sequence corresponding to any frame of image; all the coefficient blocks in the coefficient block set are scanned sequentially according to the scanning sequence, so that the scanning efficiency of the coefficient blocks can be improved. Secondly, under the condition that at least one coefficient in a coefficient matrix corresponding to the target coefficient block is not smaller than a coefficient threshold value, quantizing the target coefficient block to obtain at least one quantized coefficient block corresponding to any frame of image; under the condition that all coefficients in a coefficient matrix corresponding to the target coefficient block do not meet the quantization condition, determining the target coefficient block as an all-zero coefficient block, and not quantizing the all-zero coefficient block; and carrying out entropy coding on at least one quantization coefficient block corresponding to any frame of image to obtain target video information. Therefore, by quantizing only the coefficient blocks satisfying the quantization condition, the situation of quantizing all-zero coefficient blocks can be reduced, the video encoding time can be saved, the video encoding speed can be improved, and at the same time, all-zero block detection is performed on each coefficient block at the coefficient block level, all-zero block detection can be performed without using the characteristics of the whole quantized coefficient block at the quantized coefficient block level, and the encoding complexity can be reduced.
Fig. 4 is a block diagram of a video encoding apparatus according to an exemplary embodiment. Referring to fig. 4, the video encoding apparatus 400 includes a set acquisition unit 401, a coefficient quantization unit 402, and an image encoding unit 403.
A set obtaining unit 401 configured to perform obtaining a set of coefficient blocks corresponding to any one of at least one frame of image corresponding to the initial video information, where the set of coefficient blocks includes at least one coefficient block, the coefficient block is a coefficient matrix, and any one coefficient in the coefficient matrix is determined by an image pixel value corresponding to any one coefficient;
a coefficient quantization unit 402, configured to perform scanning on a coefficient block set, and quantize a target coefficient block if at least one coefficient in the target coefficient block satisfies a quantization condition, to obtain at least one quantized coefficient block corresponding to any frame image, where the target coefficient block is any coefficient block in the coefficient block set;
an image encoding unit 403 configured to perform entropy encoding on at least one quantization coefficient block corresponding to any frame image, to obtain target video information.
According to some embodiments, the set obtaining unit 401 is configured to, when executing obtaining a coefficient block set corresponding to any one of at least one frame image corresponding to the initial video information, specifically configured to execute:
Obtaining the size of a coefficient block corresponding to the coefficient block;
dividing any one of at least one frame of image corresponding to the initial video information into at least two transformation blocks, wherein the size of the transformation block corresponding to the transformation block is larger than that of the coefficient block;
and dividing each transformation block in at least two transformation blocks based on the size of the transformation block to obtain a coefficient block set corresponding to any frame of image.
According to some embodiments, the coefficient quantization unit 402 is configured to perform, when scanning the set of coefficient blocks, in particular to perform:
acquiring a scanning sequence corresponding to any frame of image;
and scanning all the coefficient blocks in the coefficient block set in turn according to the scanning sequence.
According to some embodiments, the coefficient quantization unit 402 is configured to perform quantization of the target coefficient block, in a case where at least one coefficient in the target coefficient block satisfies a quantization condition, specifically configured to perform:
and quantizing the target coefficient block under the condition that at least one coefficient in the coefficient matrix corresponding to the target coefficient block is not smaller than a coefficient threshold value.
According to some embodiments, the coefficient quantization unit 402 is configured to perform, after scanning the set of coefficient blocks, further configured to perform:
Determining the target coefficient block as an all-zero coefficient block under the condition that all coefficients in a coefficient matrix corresponding to the target coefficient block do not meet the quantization condition;
the all zero coefficient blocks are not quantized.
According to some embodiments, the coefficient quantization unit 402 is further configured to perform:
determining a quantization step length and a target adjustment coefficient;
and determining a coefficient threshold according to the quantization step length and the target adjustment coefficient.
According to some embodiments, the coefficient quantization unit 402 is configured to perform, when determining the target adjustment coefficient, in particular to perform:
determining a coefficient block type corresponding to the target coefficient block;
and determining a target adjustment coefficient corresponding to the target coefficient block from an adjustment coefficient set according to the coefficient block type, wherein the adjustment coefficient set comprises at least one adjustment coefficient, and the adjustment coefficients are in one-to-one correspondence with the coefficient block type.
According to some embodiments, the coefficient quantization unit 402 is configured to perform, before determining a target adjustment coefficient corresponding to the target coefficient block from the adjustment coefficient set, further configured to perform:
acquiring test video information, wherein the test video information comprises at least one frame of test image, and the at least one frame of test image corresponds to at least one coefficient block type;
Encoding at least one frame of test image by adopting at least one test coefficient in the test coefficient set to obtain an adjustment coefficient which corresponds to any coefficient block type in at least one coefficient block type and meets the requirement of a test result;
and adding any coefficient block type and the adjusting coefficient corresponding to any coefficient block type to the adjusting coefficient set.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
In summary, in the apparatus provided in the embodiments of the present disclosure, a set obtaining unit obtains a set of coefficient blocks corresponding to any one frame image in at least one frame image corresponding to initial video information, where the set of coefficient blocks includes at least one coefficient block, the coefficient block is a coefficient matrix, and any coefficient in the coefficient matrix is determined by an image pixel value corresponding to any coefficient; the method comprises the steps that a coefficient quantization unit scans a coefficient block set, and quantizes a target coefficient block to obtain at least one quantized coefficient block corresponding to any frame image under the condition that at least one coefficient in the target coefficient block meets quantization conditions, wherein the target coefficient block is any coefficient block in the coefficient block set; the image coding unit performs entropy coding on at least one quantization coefficient block corresponding to any frame of image to obtain target video information. Therefore, by quantizing only the coefficient blocks satisfying the quantization condition, the quantization of all-zero coefficient blocks can be reduced, the video encoding time can be saved, and the video encoding speed can be improved. Meanwhile, all-zero block detection is carried out on each coefficient block at the coefficient block level, so that all-zero block detection can be carried out by utilizing the characteristics of the whole quantized coefficient block at the quantized coefficient block level, and the coding complexity can be reduced.
Fig. 5 is a block diagram of an electronic device for video encoding, according to an example embodiment.
Referring to fig. 5, an electronic device 500 may include one or more of the following components: a processing component 502, a memory 504, a power component 506, a multimedia component 508, an audio component 510, an input/output (I/O) interface 512, a sensor component 514, and a communication component 516.
The processing component 502 generally controls overall operation of the electronic device 500, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 502 may include one or more processors 520 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 502 can include one or more modules that facilitate interactions between the processing component 502 and other components. For example, the processing component 502 can include a multimedia module to facilitate interaction between the multimedia component 508 and the processing component 502.
The memory 504 is configured to store various types of data to support operations at the electronic device 500. Examples of such data include instructions for any application or method operating on the electronic device 500, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 504 may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
The power supply component 506 provides power to the various components of the electronic device 500. The power components 506 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the electronic device 500.
The multimedia component 508 includes a screen that provides an output interface between the electronic device 500 and the user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or sliding action, but also the duration and pressure associated with the touch or sliding operation. In some embodiments, the multimedia component 508 includes a front-facing camera and/or a rear-facing camera. When the electronic device 500 is in an operational mode, such as a shooting mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.
The audio component 510 is configured to output and/or input audio signals. For example, the audio component 510 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 500 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 504 or transmitted via the communication component 516. In some embodiments, the audio component 510 further comprises a speaker for outputting audio signals.
The I/O interface 512 provides an interface between the processing component 502 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.
The sensor assembly 514 includes one or more sensors for providing status assessment of various aspects of the electronic device 500. For example, the sensor assembly 514 may detect an on/off state of the electronic device 500, a relative positioning of the components, such as a display and keypad of the electronic device 500, the sensor assembly 514 may also detect a change in position of the electronic device 500 or a component of the electronic device 500, the presence or absence of a user's contact with the electronic device 500, an orientation or acceleration/deceleration of the electronic device 500, and a change in temperature of the electronic device 500. The sensor assembly 514 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 514 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 514 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 516 is configured to facilitate communication between the electronic device 500 and other devices, either wired or wireless. The electronic device 500 may access a wireless network based on a communication standard, such as WiFi, an operator network (e.g., 2G, 3G, 4G, or 5G), or a combination thereof. In one exemplary embodiment, the communication component 516 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 516 further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the electronic device 500 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic elements for executing the methods described above.
In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as memory 504, including instructions executable by processor 520 of electronic device 500 to perform the above-described method. For example, the non-transitory computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (11)
1. A video encoding method, comprising:
acquiring a coefficient block set corresponding to any one frame of image in at least one frame of image corresponding to initial video information, wherein the coefficient block set comprises at least one coefficient block, the coefficient block is a coefficient matrix, and any coefficient in the coefficient matrix is determined by an image pixel value corresponding to any coefficient;
Scanning the coefficient block set, and quantizing a target coefficient block under the condition that at least one coefficient in the target coefficient block meets a quantization condition to obtain at least one quantized coefficient block corresponding to any frame of image, wherein the target coefficient block is any coefficient block in the coefficient block set;
and carrying out entropy coding on at least one quantization coefficient block corresponding to any frame of image to obtain target video information.
2. The method according to claim 1, wherein the acquiring the coefficient block set corresponding to any one of the at least one frame of image corresponding to the initial video information includes:
obtaining the size of a coefficient block corresponding to the coefficient block;
dividing any one of at least one frame of image corresponding to the initial video information into at least two transformation blocks, wherein the size of the transformation block corresponding to the transformation block is larger than that of the coefficient block;
and dividing each transformation block in the at least two transformation blocks based on the size of the coefficient block to obtain a coefficient block set corresponding to the image of any frame.
3. The method of claim 1, wherein scanning the set of coefficient blocks comprises:
Acquiring a scanning sequence corresponding to any frame of image;
and scanning all the coefficient blocks in the coefficient block set in turn according to the scanning sequence.
4. The method according to claim 1, wherein quantizing the target coefficient block if at least one coefficient in the target coefficient block satisfies a quantization condition, comprises:
and quantizing the target coefficient block under the condition that at least one coefficient in a coefficient matrix corresponding to the target coefficient block is not smaller than a coefficient threshold value.
5. The method of claim 1, further comprising, after said scanning said set of coefficient blocks:
determining the target coefficient block as an all-zero coefficient block under the condition that all coefficients in a coefficient matrix corresponding to the target coefficient block do not meet a quantization condition;
the block of all zero coefficients is not quantized.
6. The method as recited in claim 4, further comprising:
determining a quantization step length and a target adjustment coefficient;
and determining the coefficient threshold according to the quantization step length and the target adjustment coefficient.
7. The method of claim 6, wherein the determining the target adjustment factor comprises:
Determining a coefficient block type corresponding to the target coefficient block;
and determining a target adjustment coefficient corresponding to the target coefficient block from an adjustment coefficient set according to the coefficient block type, wherein the adjustment coefficient set comprises at least one adjustment coefficient, and the adjustment coefficient corresponds to the coefficient block type one by one.
8. The method of claim 7, further comprising, prior to said determining a target adjustment coefficient for said target coefficient block from a set of adjustment coefficients:
acquiring test video information, wherein the test video information comprises at least one frame of test image, and the at least one frame of test image corresponds to at least one coefficient block type;
encoding the at least one frame of test image by adopting at least one test coefficient in a test coefficient set to obtain an adjustment coefficient which corresponds to any coefficient block type in the at least one coefficient block type and meets the requirement of a test result;
and adding the any coefficient block type and the adjusting coefficient corresponding to the any coefficient block type to the adjusting coefficient set.
9. A video encoding apparatus, comprising:
a set acquisition unit configured to perform acquisition of a coefficient block set corresponding to any one of at least one frame of image corresponding to initial video information, the coefficient block set including at least one coefficient block, the coefficient block being a coefficient matrix, any one coefficient in the coefficient matrix being determined by an image pixel value corresponding to the any one coefficient;
The coefficient quantization unit is configured to perform scanning on the coefficient block set, quantize a target coefficient block under the condition that at least one coefficient in the target coefficient block meets quantization conditions, and obtain at least one quantized coefficient block corresponding to any frame of image, wherein the target coefficient block is any coefficient block in the coefficient block set;
and the image coding unit is configured to perform entropy coding on at least one quantization coefficient block corresponding to any frame of image to obtain target video information.
10. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the video coding method of any one of claims 1 to 8.
11. A storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform the video encoding method of any one of claims 1 to 8.
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