CN116418985A - Video file storage method, device, computer equipment and storage medium - Google Patents

Video file storage method, device, computer equipment and storage medium Download PDF

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CN116418985A
CN116418985A CN202310424070.9A CN202310424070A CN116418985A CN 116418985 A CN116418985 A CN 116418985A CN 202310424070 A CN202310424070 A CN 202310424070A CN 116418985 A CN116418985 A CN 116418985A
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matrix
binary
image
block
acquiring
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杨洁琼
罗亚明
袁广亮
徐雪
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Industrial and Commercial Bank of China Ltd ICBC
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Industrial and Commercial Bank of China Ltd ICBC
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    • H—ELECTRICITY
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    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10—File systems; File servers
    • G06F16/17—Details of further file system functions
    • G06F16/172—Caching, prefetching or hoarding of files
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    • G06F16/17—Details of further file system functions
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    • G06F16/71—Indexing; Data structures therefor; Storage structures
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
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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
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    • H04N19/156—Availability of hardware or computational resources, e.g. encoding based on power-saving criteria
    • H—ELECTRICITY
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    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
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    • 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
    • H04N19/176—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 block, e.g. a macroblock
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    • H04N5/76—Television signal recording
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Abstract

The application relates to a video file storage method, a video file storage device, computer equipment and a storage medium, and relates to the technical field of computers. Can be used in the field of financial science and technology or other related fields. The method comprises the following steps: acquiring a video image recorded in the process of executing resource object transfer by a user, and acquiring a plurality of image picture blocks contained in the video image; obtaining a block binary matrix corresponding to each image picture block, and obtaining element characteristics corresponding to each image picture block according to matrix elements contained in each block binary matrix; counting the number of the element features, and acquiring the clustering degree of each image picture block according to the number of the element features; and obtaining the compression ratio corresponding to each image frame block based on the clustering degree, compressing each image frame block according to the compression ratio, and storing the compressed video image. By adopting the method, the consumption of computing resources in a storage process or a compression process can be reduced.

Description

Video file storage method, device, computer equipment and storage medium
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a video file storage method, apparatus, computer device, storage medium, and computer program product.
Background
With the development of computer technology, a technology for storing video files is presented, for example, in the process of transferring a resource object, in order to ensure the validity of the process of transferring the resource object, in the process of transferring the resource object, it is often necessary to record the video in the process and store the video to ensure the validity of the process of transferring the resource object.
At present, for storing video files, compression processing is usually required to be performed on the video files first, and the video files are stored after the compression processing, however, the storage mode usually adopts a fixed compression rate for compression processing, which may cause the situation that the picture is partially over-compressed or under-compressed, so that excessive computing resources are consumed in the storage process or the compression process.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a video file storage method, apparatus, computer device, computer readable storage medium, and computer program product that can reduce the consumption of computing resources in a storage process or a compression process.
In a first aspect, the present application provides a video file storage method, where the method includes:
Acquiring a video image recorded in the process of executing resource object transfer by a user, and acquiring a plurality of image picture blocks contained in the video image;
obtaining a block binary matrix corresponding to each image picture block, and obtaining element characteristics corresponding to each image picture block according to matrix elements contained in each block binary matrix;
counting the number of the element features, and acquiring the clustering degree of each image picture block according to the number of the element features;
and obtaining the compression ratio corresponding to each image picture block based on the clustering degree, compressing each image picture block according to the compression ratio, and storing the compressed video image.
In one embodiment, the elemental signature is characterized in the form of a binary group; obtaining element characteristics corresponding to each image frame block according to matrix elements contained in each block binary matrix, wherein the element characteristics comprise: obtaining a current image picture block and a current block binary matrix corresponding to the current image picture block; and determining a current binary group corresponding to the current image picture block according to the element values of matrix elements contained in the current block binary matrix and the arrangement mode of the matrix elements.
In one embodiment, the determining, according to the element values of the matrix elements included in the current block binary matrix and the arrangement manner of the matrix elements, the current tuple corresponding to the current image frame block includes: according to the element values, a first matrix element with an element value of 1 and a second matrix element with an element value of 0 are obtained from matrix elements contained in the current block binary matrix; determining the number of element sets of a target element set contained in the current block binary matrix according to the first matrix element, the second matrix element and the arrangement mode; the target element set consists of a first matrix element and a second matrix element, and the second matrix element is arranged in front of the first matrix element; and obtaining the current binary group based on the element number of the first matrix element and the element set number.
In one embodiment, the counting the number of the element features, and obtaining the clustering degree of each image frame partition according to the number of the element features includes: acquiring the binary group elements contained in each binary group, and counting the number of the corresponding binary groups of each binary group with the same binary group elements; clustering the two tuples by using the number of the corresponding tuples to obtain the clustering degree of the two tuples; and taking the clustering degree of each binary group as the clustering degree of the image picture blocks corresponding to each binary group respectively.
In one embodiment, the clustering processing for each of the tuples by using the number of the tuples corresponding to each of the tuples to obtain the clustering degree of each of the tuples includes: acquiring a corresponding relation between a pre-constructed binary group number interval and a clustering degree; acquiring a binary group number interval corresponding to each binary group by utilizing the binary group number corresponding to each binary group; and determining the clustering degree of each binary group according to the binary group number interval corresponding to each binary group and the corresponding relation.
In one embodiment, the obtaining, based on the clustering degree, a compression ratio corresponding to each image frame partition includes: acquiring a preset corresponding relation between the clustering degree and the compression ratio; wherein, the clustering degree and the compression ratio are in a negative correlation relationship; and obtaining the compression ratio corresponding to each image picture block based on the corresponding relation and the clustering degree corresponding to each image picture block.
In one embodiment, the capturing a plurality of image frames contained in the video image includes: binary reading is carried out on the video image, and an image binary matrix corresponding to the video image is obtained; performing matrix blocking processing on the image binary matrix according to a preset blocking length to obtain a plurality of blocking binary matrixes corresponding to the video image; and dividing the image frames respectively corresponding to the plurality of divided binary matrixes into a plurality of image frames contained in the video image.
In a second aspect, the present application further provides a video file storage device. The device comprises:
the video image blocking module is used for acquiring a video image recorded in the process of executing resource object transfer by a user and acquiring a plurality of image picture blocks contained in the video image;
the block characteristic acquisition module is used for acquiring block binary matrixes corresponding to the image picture blocks and acquiring element characteristics corresponding to the image picture blocks according to matrix elements contained in the block binary matrixes;
the clustering degree acquisition module is used for counting the number of the element features and acquiring the clustering degree of each image picture block according to the number of the element features;
and the video image storage module is used for acquiring the compression ratio corresponding to each image picture block based on the clustering degree, compressing each image picture block according to the compression ratio, and storing the compressed video image.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
Acquiring a video image recorded in the process of executing resource object transfer by a user, and acquiring a plurality of image picture blocks contained in the video image;
obtaining a block binary matrix corresponding to each image picture block, and obtaining element characteristics corresponding to each image picture block according to matrix elements contained in each block binary matrix;
counting the number of the element features, and acquiring the clustering degree of each image picture block according to the number of the element features;
and obtaining the compression ratio corresponding to each image picture block based on the clustering degree, compressing each image picture block according to the compression ratio, and storing the compressed video image.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring a video image recorded in the process of executing resource object transfer by a user, and acquiring a plurality of image picture blocks contained in the video image;
obtaining a block binary matrix corresponding to each image picture block, and obtaining element characteristics corresponding to each image picture block according to matrix elements contained in each block binary matrix;
Counting the number of the element features, and acquiring the clustering degree of each image picture block according to the number of the element features;
and obtaining the compression ratio corresponding to each image picture block based on the clustering degree, compressing each image picture block according to the compression ratio, and storing the compressed video image.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:
acquiring a video image recorded in the process of executing resource object transfer by a user, and acquiring a plurality of image picture blocks contained in the video image;
obtaining a block binary matrix corresponding to each image picture block, and obtaining element characteristics corresponding to each image picture block according to matrix elements contained in each block binary matrix;
counting the number of the element features, and acquiring the clustering degree of each image picture block according to the number of the element features;
and obtaining the compression ratio corresponding to each image picture block based on the clustering degree, compressing each image picture block according to the compression ratio, and storing the compressed video image.
The video file storage method, the video file storage device, the computer equipment, the storage medium and the computer program product are characterized in that video images recorded in the process of executing resource object transfer by a user are obtained, and a plurality of image picture blocks contained in the video images are obtained; obtaining a block binary matrix corresponding to each image picture block, and obtaining element characteristics corresponding to each image picture block according to matrix elements contained in each block binary matrix; counting the number of the element features, and acquiring the clustering degree of each image picture block according to the number of the element features; and obtaining the compression ratio corresponding to each image frame block based on the clustering degree, compressing each image frame block according to the compression ratio, and storing the compressed video image. According to the method and the device, in the process of executing the storage process of the video image recorded with the resource object transferring process executed by the user, the video image is subjected to blocking processing, the clustering degree of each image picture block can be obtained according to the element characteristics of the elements contained in the binary matrix corresponding to each image picture block, and the corresponding compression proportion of each video image block can be determined according to the clustering degree, so that each image picture block is compressed according to the compression proportion and then stored, different compression proportions can be adopted for compression of different image picture blocks based on the clustering degree through the mode, the situation that the video picture is partially over-compressed or under-compressed can be avoided, and therefore the calculation resource consumption in the storage process or the compression process can be reduced.
Drawings
FIG. 1 is a flow chart of a video file storing method according to an embodiment;
FIG. 2 is a flow chart of obtaining element features corresponding to each image frame partition in one embodiment;
FIG. 3 is a flow diagram of one embodiment of a method for determining a current tuple;
FIG. 4 is a flowchart illustrating a method for obtaining a clustering degree of each image frame partition in one embodiment;
FIG. 5 is a flowchart of acquiring a plurality of image frame partitions included in a video image according to an embodiment;
FIG. 6 is a block diagram illustrating an exemplary configuration of a video file storage device;
fig. 7 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
In one embodiment, as shown in fig. 1, a video file storage method is provided, where the method is applied to a terminal to illustrate the method, it is understood that the method may also be applied to a server, and may also be applied to a system including the terminal and the server, and implemented through interaction between the terminal and the server. In this embodiment, the method includes the steps of:
Step S101, a video image recorded in the process of executing resource object transfer by a user is obtained, and a plurality of image frame blocks contained in the video image are obtained.
The process of performing the resource object transfer by the user may be a process that the user obtains the resource object, or a process that other users recommend the resource object to the user, in general, the process that the user performs the resource object transfer may be that a certain user recommends or introduces a certain transferable resource object to the user, and then the user may determine whether to obtain the above-mentioned resource pair according to the introduction information related to the resource object, where in this embodiment, the video image refers to the video image recorded with the above-mentioned process. Image frame blocking refers to a plurality of image blocking areas contained in a recorded video image.
Specifically, after the terminal finishes recording the resource object transferring process by the user to obtain the corresponding video image, the obtained video image can be subjected to image blocking processing, so that a plurality of image frame blocks contained in the video image are obtained.
Step S102, obtaining a block binary matrix corresponding to each image picture block, and obtaining element characteristics corresponding to each image picture block according to matrix elements contained in each block binary matrix.
The block binary matrix refers to a binary matrix corresponding to the image frame block, the binary matrix can be realized by binary reading of the image frame block, the matrix elements refer to matrix elements contained in the block binary matrix, and the element features are features contained in the block binary matrix, for example, the element arrangement features in the binary matrix, the element composition features and the like can be included, and meanwhile, because the image frame block and the block binary matrix are in one-to-one correspondence, the element features of each block binary matrix can also be used as the element features corresponding to the corresponding image frame block.
And step S103, counting the number of the element features, and acquiring the clustering degree of each image frame block according to the number of the element features.
The number of element features refers to the number of element features of the same kind, and since two block binary matrices may contain similar elements, the same kind of element features may occur, so that the terminal may count the number of element features corresponding to each image frame block after obtaining the element features corresponding to each image frame block, and then bind the number of element features corresponding to each image frame block, thereby obtaining the clustering degree of each image frame block according to the number of element features.
For example, the image frame blocks include a block 1, a block 2 and a block 3, where the element features corresponding to the block 1 and the block 3 are the element feature a, the element feature corresponding to the block 2 is the element feature B, the number of the element features a obtained by statistics is 2, and the number of the element features B is 1, so that the number of the element features corresponding to the block 1 and the block 3 is 2, and the number of the element features corresponding to the block 2 is 1, so that the terminal can obtain the clustering degree of each image frame block according to the number of the element features.
Step S104, obtaining the compression ratio corresponding to each image frame block based on the clustering degree, compressing each image frame block according to the compression ratio, and storing the compressed video image.
The compression ratio refers to a compression ratio used for performing compression processing, and the compression ratio can be determined based on a clustering degree of the image frame blocks, specifically, after determining the clustering degree of each image frame block in step S103, the terminal can further determine the compression ratio of each image frame block, so that each image frame block is respectively compressed by using each compression ratio to implement compression of a video image, and then the compressed video image can be stored.
In the video file storage method, video images recorded in the process of executing resource object transfer by a user are obtained, and a plurality of image picture blocks contained in the video images are obtained; obtaining a block binary matrix corresponding to each image picture block, and obtaining element characteristics corresponding to each image picture block according to matrix elements contained in each block binary matrix; counting the number of the element features, and acquiring the clustering degree of each image picture block according to the number of the element features; and obtaining the compression ratio corresponding to each image frame block based on the clustering degree, compressing each image frame block according to the compression ratio, and storing the compressed video image. According to the method and the device, in the process of executing the storage process of the video image recorded with the resource object transferring process executed by the user, the video image is subjected to blocking processing, the clustering degree of each image picture block can be obtained according to the element characteristics of the elements contained in the binary matrix corresponding to each image picture block, and the corresponding compression proportion of each video image block can be determined according to the clustering degree, so that each image picture block is compressed according to the compression proportion and then stored, different compression proportions can be adopted for compression of different image picture blocks based on the clustering degree through the mode, the situation that the video picture is partially over-compressed or under-compressed can be avoided, and therefore the calculation resource consumption in the storage process or the compression process can be reduced.
In one embodiment, the elemental signature is characterized in the form of a binary group; as shown in fig. 2, step S102 may further include:
step S201, obtaining a current image frame block and a current block binary matrix corresponding to the current image frame block.
A binary group refers to an element combination consisting of two elements, and in this embodiment, the element characteristics may be characterized by the form of a binary group. The current image frame block refers to any one of a plurality of image frame blocks contained in the video image, and the current block binary matrix is a block binary matrix corresponding to the current image frame block. Specifically, the terminal may select one of the image frame segments from the plurality of image frame segments as a current frame image segment, and obtain a block binary matrix corresponding to the current frame image segment as a current block binary matrix.
Step S202, determining a current binary group corresponding to the current image frame block according to the element values of the matrix elements contained in the current block binary matrix and the arrangement mode of the matrix elements.
The element value refers to the element value of each matrix element contained in the current block binary matrix, and since the current block binary matrix is one of the binary matrices, the element values of all matrix elements contained in the current block binary matrix are all one of 0 or 1, the arrangement mode refers to the arrangement mode among the matrix elements, namely the arrangement mode of each 01 element, and the current binary group refers to the binary group corresponding to the current image picture block. After the terminal obtains the current block binary matrix, the terminal can determine the element values of each matrix element contained in the current block binary matrix and the arrangement modes among the matrix elements, so that the binary groups corresponding to the current image picture blocks, namely the current binary groups, are determined by utilizing the element values and the arrangement modes of the elements.
In this embodiment, the terminal may obtain the current tuple for representing the current image frame block according to the element value of the matrix element included in the current block binary matrix corresponding to the current image frame block and the arrangement mode of the matrix element, so as to implement the matrix element feature representation of the current block binary matrix through the current tuple, and further improve the accuracy of obtaining the element feature corresponding to the image frame block.
Further, as shown in fig. 3, step S202 may further include:
step S301, according to the element values, a first matrix element with the element value of 1 and a second matrix element with the element value of 0 are obtained from matrix elements contained in the current block binary matrix.
The first matrix element refers to a matrix element with an element value of 1 in the current block binary matrix, and the second matrix element refers to a matrix element with an element value of 0 in the current block binary matrix. In this embodiment, the matrix elements included in the current block binary matrix mainly include two types, namely, a first matrix element with an element value of 1 and a second matrix element with an element value of 0, and the terminal may determine whether each specific matrix element is the first matrix element or the second matrix element according to the element value of the matrix element.
Step S302, determining the number of element sets of a target element set contained in the current block binary matrix according to the first matrix element, the second matrix element and the arrangement mode; the target element set is an element set composed of one first matrix element and one second matrix element, and the second matrix element is arranged before the first matrix element.
The target element set refers to an element set composed of a first matrix element and a second matrix element, and the second matrix element is arranged before the first matrix element, that is, an element set composed of matrix element "01", and the number of element sets refers to the number of target element sets contained in the current block binary matrix.
For example, the current block binary matrix includes 10 matrix elements, and the arrangement manner thereof may be 0111011000, and the target element set refers to an element set formed by a second matrix element having an element value of 0 and two matrix elements located before a first matrix element having an element value of 1, that is, the element set is "01", and since there are two "01" sets in the current block binary matrix, the number of sets of the target element set is 2 for the current block binary matrix. If the current segmented binary matrix contains 3*3 matrix elements, i.e. 3 elements per column, for a total of 3 rows, wherein the matrix elements of the first row are 100, the matrix elements of the second row are 101, and the matrix elements of the third row are 010, then the terminal may first arrange in the order of each row based on the arrangement of the matrix elements described above, thereby forming a 100101010 sequence, and then the "01" sets therein may be counted, the number being 3, so that the number of sets of target element sets is 3 for the current segmented binary matrix.
Step S303, obtaining the current binary group based on the element number of the first matrix element and the element set number.
Then, the terminal may determine the current binary group based on the number of elements of the first matrix element, that is, the number of elements of the matrix element with the element value of 1 in the current block binary matrix, and the number of sets of the target element set obtained in step S302, that is, the number of sets of "01" sets in the current block binary matrix, and may use the number of elements of the matrix element with the element value of 1 as the first element of the current binary group, and use the number of sets of "01" sets as the second element of the previous binary group, so as to obtain the current binary group.
Taking the current block binary matrix as 0111011000 as an example, wherein the number of elements of the matrix elements with the element value of 1 is 5, and the number of sets of "01" sets is 2, then the current binary group of the current block binary matrix, namely, the current binary group is (5, 2), and taking the matrix elements of the first row contained in the current block binary matrix as 100, the matrix elements of the second row as 101, and the matrix elements of the third row as 010 as an example, then the number of elements of the matrix elements with the element value of 1 is 4, and the number of sets of "01" sets is 3, then the binary group of the current block binary matrix, namely, the current binary group is (4, 3).
In this embodiment, the determination of the current binary group may be based on the number of elements of the first matrix element with the element value of 1, and the set number of the set of elements, i.e. "01" set, of the second matrix element with the element value of 0 before the first matrix element with the element value of 1, so that the element characteristics of the current block binary matrix may be accurately obtained.
In one embodiment, as shown in fig. 4, step S103 may further include:
step S401 obtains the binary group elements contained in each binary group, and counts the number of the binary groups corresponding to each binary group with the same binary group elements.
In this embodiment, since the element features are characterized by the form of the two-tuple, the statistics of the number of element features in this embodiment may be implemented by counting the number of two-tuple having the same two-tuple element. For example, if a certain binary group is (5, 2), the terminal may find out the binary group whose binary group element is the same as that of the binary group from the binary groups corresponding to each image frame block, that is, find out all the binary groups of (5, 2), and count the number of the binary groups of (5, 2), so that the number of the binary groups corresponding to each binary group can be obtained through the above manner.
For example, the image frame includes a block 1, a block 2 and a block 3, where the two sets corresponding to the block 1 and the block 3 are (5, 2) and the two sets corresponding to the block 2 are (4, 3), and for the two sets of (5, 2), the number of the two sets is 2, that is, the number of the two sets corresponding to the block 1 and the block 3 is 2. And for the (4, 3) doublet, the number of doublets is 1, i.e., the number of doublets corresponding to the block 2 is 1.
Step S402, clustering each binary group by utilizing the quantity of the binary groups corresponding to each binary group to obtain the clustering degree of each binary group;
step S403, the clustering degree of each binary group is used as the clustering degree of the image picture blocks corresponding to each binary group.
After the number of the tuples corresponding to each tuple is obtained in step S401, clustering processing may be performed on each tuple based on the number of the tuples to determine the clustering degree of each tuple, and meanwhile, since each tuple is respectively corresponding to each block binary matrix, each block binary matrix may be used to represent a corresponding image frame block, the terminal may determine the clustering degree of a corresponding image frame block through the clustering degree of the tuples.
In this embodiment, the terminal may count the number of the tuples of the tuple corresponding to each image frame block, so as to perform clustering processing on the tuples by using the number of the tuples, and use the clustering degree of the tuples as the clustering degree of the corresponding image frame block.
Further, step S402 may further include: acquiring a corresponding relation between a pre-constructed binary group number interval and a clustering degree; acquiring a binary group number interval corresponding to each binary group by utilizing the binary group number corresponding to each binary group; and determining the clustering degree of each binary group according to the binary group number interval corresponding to each binary group and the corresponding relation.
The two-tuple number interval is pre-constructed and used for distinguishing the two-tuple number interval, in this embodiment, the clustering degree may include a plurality of clustering degree labels, each of which may be represented by different clustering degree labels, and each of the clustering degree labels may correspond to one of the two-tuple number intervals in advance, and in general, the two-tuple number interval and the clustering degree may have a positive correlation relationship, that is, the larger the two-tuple number interval is, the larger the clustering degree represented by the two-tuple number interval is. For example, a two-tuple number interval may include interval a, interval B, and interval C, where interval a corresponds to cluster degree a, interval B corresponds to cluster degree B, and interval C corresponds to cluster degree C.
After obtaining the number of the two-tuple corresponding to each two-tuple, the terminal can determine the two-tuple number interval in which each two-tuple is located as the two-tuple number interval corresponding to the two-tuple, so that the clustering degree corresponding to the two-tuple number interval can be used as the clustering degree of each two-tuple. For example, for the binary group of the block 1, the number of binary groups satisfies the interval a, the clustering degree of the binary group is the clustering degree a, and for the binary group of the block 2, the number of binary groups satisfies the interval B, the clustering degree of the binary group is the clustering degree B.
In this embodiment, the terminal may pre-construct a correspondence between the number of bins and the clustering degree, so that after obtaining the number of bins corresponding to each bin, the terminal may determine the corresponding number of bins to obtain the clustering degree of the corresponding bin.
In addition, step S104 may further include: acquiring a preset corresponding relation between the clustering degree and the compression ratio; wherein, the clustering degree and the compression ratio are in a negative correlation relationship; and obtaining the compression ratio corresponding to each image frame block based on the corresponding relation and the clustering degree corresponding to each image frame block.
Similarly, a correspondence relationship may be preset between the clustering degree and the compression ratio, and since different clustering degrees correspond to different compression ratios, a correspondence relationship between the clustering degree and the compression ratio may be pre-configured, and the configured correspondence relationship needs to satisfy that a negative correlation relationship between the clustering degree and the compression ratio is required, that is, the larger the clustering degree is, the smaller the compression ratio is, and the smaller the clustering degree is, the larger the compression ratio is. After obtaining the clustering degree corresponding to the current image frame blocks, the terminal can further determine the compression ratio corresponding to the current image frame blocks according to the constructed corresponding relation, so that the compression ratio corresponding to each image frame block is obtained through the mode.
For example, the terminal may be pre-configured with a corresponding relationship between the clustering degree a and the compression ratio 1, a corresponding relationship between the clustering degree B and the compression ratio 2, and a corresponding relationship between the clustering degree C and the compression ratio 3, and after the terminal obtains the clustering degree corresponding to each image frame partition, the compression ratio of each image frame partition may be determined based on the corresponding relationship, for example, the clustering degree of a certain image frame partition 1 is the clustering degree a, then the compression ratio corresponding to the partition 1 is the compression ratio 1, that is, the compression processing may be performed on the partition 1 by using the compression ratio 1, and the clustering degree corresponding to the image frame partition 2 is the clustering degree B, then the compression ratio corresponding to the partition 2 is the compression ratio 2, that is, that may be, the compression processing may be performed on the partition 2 by using the compression ratio 2.
In this embodiment, the terminal may preset a correspondence between each clustering degree and the compression ratio, so that after determining the clustering degree corresponding to each image frame partition, the terminal may further obtain the compression ratio corresponding to each image frame partition based on the correspondence, so that the efficiency of determining the compression ratio may be improved, and the efficiency of video image compression may be improved.
In one embodiment, as shown in fig. 5, step S101 may further include:
step S501, binary reading is carried out on the video image, and an image binary matrix corresponding to the video image is obtained.
The image binary matrix refers to a binary matrix corresponding to the video image, and after the video image is obtained, the terminal can obtain the binary matrix corresponding to the video image, namely, the image binary matrix is obtained.
Step S502, performing matrix blocking processing on the image binary matrix according to a preset blocking length to obtain a plurality of blocking binary matrixes corresponding to the video image;
in step S503, the image frames corresponding to the plurality of block binary matrices are divided into blocks of the plurality of image frames included in the video image.
The blocking length refers to a preset length for blocking the image binary matrix, in this embodiment, the blocking of the video image frame may be implemented by blocking the image binary matrix, and the terminal may perform matrix blocking processing on the image binary matrix corresponding to the video image according to the preset matrix blocking length, thereby dividing the image binary matrix into a plurality of block binary matrices, and using the plurality of block binary matrices as a plurality of block binary matrices corresponding to the video image.
For example, the terminal may perform the blocking processing on the image binary matrix corresponding to the video image through the set blocking length to obtain a blocking binary matrix a, a blocking binary matrix B and a blocking binary matrix C respectively, and then the image corresponding to each blocking binary matrix may be used as each image block included in the video image, i.e. the obtained image block may include a blocking a corresponding to the blocking binary matrix a, a blocking B corresponding to the blocking binary matrix B and a blocking C corresponding to the blocking binary matrix C.
In this embodiment, the terminal may perform binary reading on the video image to obtain an image binary matrix, and then may implement block processing of the image binary matrix by using a set block length, and after obtaining a block binary matrix, may block the image picture corresponding to each block binary matrix as a plurality of image pictures included in the video image, thereby implementing accurate block of the video image, and further improving accuracy of block of the video image.
In one embodiment, a dual-record video file storage method is further provided, and the intelligence of dual-record file compression processing is improved by compressing the dual-record file by adopting different compression ratios/sampling ratios for different parts of a video picture. According to the statistical characteristics, the clustering degree of the picture information is characterized, so that the compression ratio which is suitable for the clustering degree is selected, and the process of compressing different parts of the picture by adopting different compression ratios is realized. The method specifically comprises the following steps:
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Step 1: and obtaining the double-record video file to be processed.
The double-record video file to be stored refers to a double-record video file to be processed, and after the double-record video file is recorded, the recorded double-record file can be used as the double-record file to be processed.
Step 2: binary reading is carried out on the double-record video picture to obtain a corresponding 01 matrix, and then the 01 matrix can be subjected to block processing according to a set length to obtain a plurality of sub-matrices corresponding to the double-record file.
Step 3: determining the information clustering degree of each submatrix, wherein the obtaining of the information clustering degree identification specifically comprises the following steps:
step 3.1: counting the number of '1' and the number/quantity of '01' in each submatrix, and respectively marking as p and q to obtain a binary group (p and q), wherein the binary group corresponds to the submatrix and is positioned on the abscissa of one point in the two-dimensional vector space, so that the corresponding relation between each point and the submatrix is obtained.
Step 3.2: and counting the number of the submatrices contained in the same coordinate point to form thermodynamic statistical distribution of each coordinate point, namely marking the number of the same binary groups with the same values of p and q as n, so as to obtain a ternary group (p, q and n), wherein the larger the value of n is, the more the number of the matrix conforming to the statistical characteristics is.
Step 3.3: for some points with close coordinate values, the points have similar statistical characteristics, so that the points have certain commonality. According to the method, different blocks of a picture are clustered, and dense and sparse parts can be marked according to the clustering. Specifically, the arrangement may be performed from large to small according to the value of n, and the sub-matrix may be regarded as a dense portion for a part of the sub-matrices having the highest value of n and may be regarded as a sparse portion for a part of the sub-matrices having the lowest value of n. And the corresponding compression strategy may be determined here based on the optional compression gear.
Step 4: for segments corresponding to dense sub-sequences, a low compression ratio is used for compression, and for segments corresponding to sparse sub-sequences, a high compression ratio is used for compression.
According to the embodiment, the sectional compression processing can be realized by adopting different compression ratios for different picture parts of the double-record video file, so that the situation of excessive compression or insufficient compression of a picture part can be avoided, the utilization rate of storage and network transmission resources can be improved, and the calculation resources consumed in the compression process can be reduced.
Based on the same inventive concept, the embodiment of the application also provides a video file storage device for implementing the video file storage method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the video file storage device provided in the following may be referred to the limitation of the video file storage method hereinabove, and will not be repeated here.
In one embodiment, as shown in fig. 6, there is provided a video file storage device, including: a video image blocking module 601, a blocking feature acquisition module 602, a clustering degree acquisition module 603, and a video image storage module 604, wherein:
The video image blocking module 601 is configured to obtain a video image recorded in a process of executing resource object transfer by a user, and obtain a plurality of image frame blocks included in the video image;
the block feature obtaining module 602 is configured to obtain a block binary matrix corresponding to each image frame block, and obtain element features corresponding to each image frame block according to matrix elements included in each block binary matrix;
a cluster degree obtaining module 603, configured to count the number of each element feature, and obtain the cluster degree of each image frame partition according to the number of the element features;
the video image storage module 604 is configured to obtain a compression ratio corresponding to each image frame partition based on the clustering degree, compress each image frame partition according to the compression ratio, and store the compressed video image.
In one embodiment, the elemental signature is characterized in the form of a binary group; the block feature obtaining module 602 is further configured to obtain a current image frame block and a current block binary matrix corresponding to the current image frame block; and determining the current binary group corresponding to the current image picture block according to the element values of the matrix elements contained in the current block binary matrix and the arrangement mode of the matrix elements.
In one embodiment, the block feature obtaining module 602 is further configured to obtain, according to the element value, a first matrix element with an element value of 1 and a second matrix element with an element value of 0, where the matrix elements included in the current block binary matrix; determining the number of element sets of a target element set contained in the current block binary matrix according to the first matrix element, the second matrix element and the arrangement mode; the target element set is an element set which consists of a first matrix element and a second matrix element, and the second matrix element is arranged in front of the first matrix element; and obtaining the current binary group based on the element number of the first matrix element and the element set number.
In one embodiment, the clustering degree obtaining module 603 is further configured to obtain the binary group elements included in each binary group, and count the number of binary groups corresponding to each binary group with the same binary group element; clustering the two tuples by using the number of the corresponding two tuples of each tuple to obtain the clustering degree of each tuple; and taking the clustering degree of each binary group as the clustering degree of the image picture blocks corresponding to each binary group.
In one embodiment, the clustering degree obtaining module 603 is further configured to obtain a correspondence between the pre-constructed two-tuple number interval and the clustering degree; acquiring a binary group number interval corresponding to each binary group by utilizing the binary group number corresponding to each binary group; and determining the clustering degree of each binary group according to the binary group number interval corresponding to each binary group and the corresponding relation.
In one embodiment, the video image storage module 604 is further configured to obtain a correspondence between a preset clustering degree and a compression ratio; wherein, the clustering degree and the compression ratio are in a negative correlation relationship; and obtaining the compression ratio corresponding to each image frame block based on the corresponding relation and the clustering degree corresponding to each image frame block.
In one embodiment, the video image blocking module 601 is further configured to binary read a video image to obtain an image binary matrix corresponding to the video image; performing matrix blocking processing on the image binary matrix according to a preset blocking length to obtain a plurality of blocking binary matrixes corresponding to the video image; and dividing the image picture corresponding to each of the plurality of divided binary matrixes into a plurality of image pictures contained in the video image.
The modules in the video file storage device can be realized in whole or in part by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a video file storage method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 7 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
It should be noted that, user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.

Claims (11)

1. A video file storage method, the method comprising:
acquiring a video image recorded in the process of executing resource object transfer by a user, and acquiring a plurality of image picture blocks contained in the video image;
obtaining a block binary matrix corresponding to each image picture block, and obtaining element characteristics corresponding to each image picture block according to matrix elements contained in each block binary matrix;
Counting the number of the element features, and acquiring the clustering degree of each image picture block according to the number of the element features;
and obtaining the compression ratio corresponding to each image picture block based on the clustering degree, compressing each image picture block according to the compression ratio, and storing the compressed video image.
2. The method of claim 1, wherein the elemental signature is characterized in the form of a binary group;
obtaining element characteristics corresponding to each image frame block according to matrix elements contained in each block binary matrix, wherein the element characteristics comprise:
obtaining a current image picture block and a current block binary matrix corresponding to the current image picture block;
and determining a current binary group corresponding to the current image picture block according to the element values of matrix elements contained in the current block binary matrix and the arrangement mode of the matrix elements.
3. The method according to claim 2, wherein the determining the current binary group corresponding to the current image frame block according to the element values of the matrix elements included in the current block binary matrix and the arrangement manner of the matrix elements includes:
According to the element values, a first matrix element with an element value of 1 and a second matrix element with an element value of 0 are obtained from matrix elements contained in the current block binary matrix;
determining the number of element sets of a target element set contained in the current block binary matrix according to the first matrix element, the second matrix element and the arrangement mode; the target element set consists of a first matrix element and a second matrix element, and the second matrix element is arranged in front of the first matrix element;
and obtaining the current binary group based on the element number of the first matrix element and the element set number.
4. The method according to claim 2, wherein counting the number of the element features, and obtaining the clustering degree of each image frame block according to the number of the element features comprises:
acquiring the binary group elements contained in each binary group, and counting the number of the corresponding binary groups of each binary group with the same binary group elements;
clustering the two tuples by using the number of the corresponding tuples to obtain the clustering degree of the two tuples;
And taking the clustering degree of each binary group as the clustering degree of the image picture blocks corresponding to each binary group respectively.
5. The method of claim 4, wherein clustering each of the tuples by using the number of tuples corresponding to each of the tuples to obtain a clustering degree of each of the tuples, comprises:
acquiring a corresponding relation between a pre-constructed binary group number interval and a clustering degree;
acquiring a binary group number interval corresponding to each binary group by utilizing the binary group number corresponding to each binary group;
and determining the clustering degree of each binary group according to the binary group number interval corresponding to each binary group and the corresponding relation.
6. The method according to claim 1, wherein the obtaining, based on the clustering degree, a compression ratio corresponding to each of the image frame segments includes:
acquiring a preset corresponding relation between the clustering degree and the compression ratio; wherein, the clustering degree and the compression ratio are in a negative correlation relationship;
and obtaining the compression ratio corresponding to each image picture block based on the corresponding relation and the clustering degree corresponding to each image picture block.
7. The method of any one of claims 1 to 6, wherein the acquiring the plurality of image frames comprising the video image comprises:
binary reading is carried out on the video image, and an image binary matrix corresponding to the video image is obtained;
performing matrix blocking processing on the image binary matrix according to a preset blocking length to obtain a plurality of blocking binary matrixes corresponding to the video image;
and dividing the image frames respectively corresponding to the plurality of divided binary matrixes into a plurality of image frames contained in the video image.
8. A video file storage device, said device comprising:
the video image blocking module is used for acquiring a video image recorded in the process of executing resource object transfer by a user and acquiring a plurality of image picture blocks contained in the video image;
the block characteristic acquisition module is used for acquiring block binary matrixes corresponding to the image picture blocks and acquiring element characteristics corresponding to the image picture blocks according to matrix elements contained in the block binary matrixes;
the clustering degree acquisition module is used for counting the number of the element features and acquiring the clustering degree of each image picture block according to the number of the element features;
And the video image storage module is used for acquiring the compression ratio corresponding to each image picture block based on the clustering degree, compressing each image picture block according to the compression ratio, and storing the compressed video image.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
11. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
CN202310424070.9A 2023-04-19 2023-04-19 Video file storage method, device, computer equipment and storage medium Pending CN116418985A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117956151A (en) * 2024-03-26 2024-04-30 辽宁富鸿源实业集团有限公司 Efficient processing method and system for communication information

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117956151A (en) * 2024-03-26 2024-04-30 辽宁富鸿源实业集团有限公司 Efficient processing method and system for communication information
CN117956151B (en) * 2024-03-26 2024-06-11 辽宁富鸿源实业集团有限公司 Efficient processing method and system for communication information

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