WO2017101643A1

WO2017101643A1 - Method and device for image storage

Info

Publication number: WO2017101643A1
Application number: PCT/CN2016/106805
Authority: WO
Inventors: 赵剑锋; 王程
Original assignee: 北京奇虎科技有限公司; 奇智软件（北京）有限公司
Priority date: 2015-12-16
Filing date: 2016-11-22
Publication date: 2017-06-22
Also published as: CN105574151B; CN105574151A

Abstract

A method and device for image storage. The method comprises: determining a globally unique identifier of an image, where the globally unique identifier is mapped one-to-one to a storage address of the image (S110); establishing and storing a multilevel index of the image on the basis of affiliation information of the image, where each upper-level index comprises a value used for determining an adjacent lower-level index, the value used for determining the adjacent lower-level index is used for dividing the image to which the upper-level index pertains to the corresponding adjacent lower-level index, and the lowermost-level index comprises the globally unique identifier of the image (S120); and storing the image to the storage address of the image to which the globally unique identifier is mapped (S130).

Description

Image storage method and device

Cross-reference to related applications

The present application claims priority to Chinese Patent Application No. 201510940189.7, filed on Jan. 16, 2015, in

Technical field

The present invention relates to the field of image processing, and in particular, to an image storage method and apparatus.

Background technique

It is the era of the big data explosion, and every day there will be a lot of data such as text, images, sounds and so on. As the most commonly used information carrier in human social activities, images themselves contain a large amount of information. Therefore, compared with text, the image itself has a large amount of data, and each image requires a large storage space. If there are so many images, such as tens of billions of images, then the storage space will be unprecedented. On the other hand, the image data itself is not regular and is difficult to retrieve as easily as text data.

For the above reasons, in such a large storage space, management operations such as retrieving, displaying, and deleting images are very slow. In short, the management of images is inefficient.

Summary of the invention

In view of the above problems, the present invention has been made in order to provide an image storage method and apparatus that overcomes the above problems or at least partially solves the above problems.

According to an aspect of the present invention, an image storage method is provided, comprising:

Determining a globally unique identifier of the image, wherein the globally unique identifier is mapped one-to-one to a storage address of the image;

Establishing and storing a multi-level index of the image according to the attached information of the image, wherein each upper level index includes a value for determining an adjacent lower level index, and the value for determining an adjacent lower level index is used to The image involved in the superior index is divided into the corresponding adjacent lower index, and the lowest level is Introducing a globally unique identifier of the image;

The image is stored to a storage address of the image to which the globally unique identifier of the image is mapped.

According to another aspect of the present invention, an image storage device is provided, comprising:

Determining means for determining a globally unique identifier of the image, wherein the globally unique identifier is mapped one to one to a storage address of the image;

An indexing device, configured to establish and store a multi-level index of the image according to the auxiliary information of the image, where

Each of the upper indexes includes a value for determining an adjacent lower level index, the value for determining the adjacent lower level index is used to divide the image involved in the upper level index into a corresponding adjacent lower level index, and the lowest level index includes a globally unique identifier of the image;

a storage device for storing the image to a storage address of the image to which the globally unique identifier of the image is mapped.

According to still another aspect of the present invention, a computer program comprising computer readable code causing a computing device to perform the method of image storage described above when the computer readable code is run on a computing device.

According to still another aspect of the present invention, a computer readable medium storing the above computer program is provided.

The above image storage method and apparatus according to the present invention utilizes a multi-level index, and at least one superior index that can be indexed to its plurality of subordinate indexes. This solves the problem of inefficient management operations such as image retrieval, display, and deletion in the prior art, and accordingly achieves the beneficial effects of improving image management efficiency.

The above description is only an overview of the technical solutions of the present invention, and the above-described and other objects, features and advantages of the present invention can be more clearly understood. Specific embodiments of the invention are set forth below.

BRIEF abstract

Various other advantages and benefits will be apparent to the present disclosure by reading the following detailed description of the preferred embodiments. Those of ordinary skill in the art will become apparent. The drawings are only for the purpose of illustrating the preferred embodiments and are not to be construed as limiting. Throughout the drawings, the same reference numerals are used to refer to the same parts. In the drawing:

FIG. 1 shows a schematic flow chart of an image storage method according to an embodiment of the present invention; FIG.

2 shows a schematic diagram of a multi-level index in accordance with one embodiment of the present invention;

FIG. 3 is a schematic flowchart of an image storage method according to another embodiment of the present invention; FIG.

4 shows a schematic block diagram of an image storage device in accordance with one embodiment of the present invention;

FIG. 5 shows a schematic block diagram of an image storage device according to another embodiment of the present invention; FIG.

FIG. 6 is a block diagram schematically showing a computing device for performing an image storage method according to an embodiment of the present invention;

Fig. 7 schematically shows a storage unit for holding or carrying program code implementing an image storage method according to an embodiment of the present invention.

Preferred embodiment of the invention

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While the embodiments of the present invention have been shown in the drawings, the embodiments Rather, these embodiments are provided so that this disclosure will be more fully understood and the scope of the disclosure will be fully disclosed.

In order to improve the efficiency of image management operations, according to an aspect of the present invention, an image storage method is provided. This image storage method is especially suitable for storage of a large number of images. FIG. 1 shows a schematic flow diagram of an image storage method 100 in accordance with one embodiment of the present invention. As shown in FIG. 1, the image storage method 100 includes step S110, step S120, and step S130.

In step S110, a globally unique identifier of the image is determined. Wherein, the global unique identifier of the image is mapped one to one to the storage address of the image.

Each image to be stored will be stored to a unique storage address. The storage address can be a disk address or an address in a database created based on the disk address. The globally unique identifier is unique across the storage system. There is a one-to-one mapping between the globally unique identifier and the storage address of the image.

Specifically, step S110 may include: first, randomly generating a 64-bit binary number as a globally unique identifier of the image to be stored. Then, a one-to-one mapping between the globally unique identifier and the storage address of the image to be stored is established. Please note that the above-described method of constructing the globally unique identifier is for illustrative purposes only and is not a limitation of the present invention. Those skilled in the art can also use other means to construct a globally unique identifier.

In step S120, a multi-level index of the image is created and stored according to the attached information of the image to be stored. Through the multi-level index, the entire image storage space is divided into multiple levels, which can significantly improve the efficiency of management operations such as image retrieval, analysis and display.

The attached information of the image may include the globally unique identifier of the image determined in the above step S110. The globally unique identifier can be used as the key value of the multi-level index described above. The attached information of the image may also include a user identifier of the image capture device. For an image storage system, it may be necessary to store images of many users. The user can be identified based on the user identifier of his image capture device. For example, a user can manage multiple image capture devices with the same application (APP). The user name of the user logging into the APP can then be used as the user identifier of the user's image capture device. The attached information of the image may also include an image source identifier. Each image has its own source, such as a particular image capture device. The image source identifier can be the product serial number of the image capture device. The attached information of the image may also include an image collection date.

A multi-level index of the image may be established based on the ancillary information of the image, wherein each of the superior indexes corresponds to one or more subordinate indexes. The superior index and the lower level index are two relative concepts. The upper level index can be indexed to its lower level index. The image involved in one upper level index is completely consistent with the image involved in all the lower level indexes.

There is at least one upper level index corresponding to the plurality of lower level indexes, and thus, the image corresponding to the upper level index can be divided into different lower level indexes. In a specific example, it is likely that most or even all of the superior indexes correspond to multiple subordinate indexes.

2 shows a schematic diagram of a multi-level index in accordance with one embodiment of the present invention. As shown in FIG. 2, the multi-level index includes two levels. The uppermost table in FIG. 2 represents the first level index, and the three tables in the middle represent the second level index. The first level index refers to all the images stored, each second level index includes a part of the image, and the bottom column represents the storage space of the image, such as different server clusters.

In the multi-level index, each of the upper-level indexes includes a value for determining an adjacent lower-level index, and is used to determine a value of the adjacent lower-level index for dividing the image involved in the upper-level index into a corresponding adjacent lower-level index, Thus, the entire multi-level index becomes an inseparable whole. In a specific example, each of the superior indexes may be an index table, and the index table may include a plurality of columns, wherein a value of a column is used to determine an adjacent lower level index. That is, the corresponding image is divided into different adjacent lower indexes according to the values in the column.

Still taking the multi-level index shown in FIG. 2 as an example, the value in the last column of the first-level index in FIG. 2 is the acquisition date of the image, which is used to determine the adjacent lower-level index. As shown in the different curves in Fig. 2, the image whose acquisition date is "20141020" will be divided into the leftmost one of the second-level indexes shown in Fig. 2, and the image whose acquisition date is "20141021" will be divided into maps. The middle of the second-level index shown in 2, the image whose acquisition date is "20141022" will be divided into the rightmost one of the second-level indexes shown in FIG. 2.

In a multi-level index, the lowest level index includes a globally unique identifier of the image, in other words, the globally unique identifier is located at the bottom of the multi-level index to establish a connection between the multi-level index and the storage space of the image.

In the multi-level index shown in FIG. 2, the globally unique identifier is a key value in the multi-level index, which is expressed by the word "Key". As shown in FIG. 2, the "Key" column in the second level index stores the globally unique identifier of the multilevel index, which corresponds to the storage space of the image.

The specific process of establishing a multi-level index is described below by taking the secondary index shown in FIG. 2 as an example. For the image to be stored, the auxiliary information is first acquired, and the auxiliary information may include a user identifier (Uid) of the image capturing device, an image source identifier (Sn), and an image collection date (Date). Then, add the attached information of the image to the first level index. When the attached information of the image is the same as the attached information of the existing image in the storage system, in this step, the first level index is not repeatedly added. As shown in the first level index of FIG. 2, the fourth row in the first level index may represent an image collection device whose serial number of the user whose user identification code is "135" is "daggsd" was collected on October 22, 2014. The image is stored and stored in the storage system. It can be understood that the data in each row of the first level index cannot represent the number of corresponding images, and can only represent the image with the auxiliary information in the storage system. For example, the fourth row in the first level index corresponds to three rows of data in the rightmost second level index. Finally, part of the attached information and the globally unique identifier of the image are added to the corresponding second level index according to the date of collection of the image. For example, the acquisition date is "20141022" The user identifier (Uid), image source identifier (Sn), and global unique identifier of the image capture device of the image are added to the rightmost second level index shown in FIG. 2. Because each globally unique identifier is unique, each row in the second level index uniquely corresponds to an image. For example, the first line of the rightmost one of the second level indexes indicates that the image collected by the image acquisition device whose serial number is "daggsd" of the user whose user identification code is "135" was stored on October 22, 2014. The storage space corresponding to the globally unique identifier "D". It can be understood that the image collection device whose serial number of the user whose user identification code is "135" is "daggsd" may collect a plurality of images on October 22, 2014, and these images have mutually different global unique identifiers, such as The three rows of data in the rightmost second level index in Figure 2 are shown.

In step S130, the image is stored to the storage address of the image to which the global unique identifier of the image is mapped, and the object of the storage operation here is the image data itself.

Images can be stored in a dot matrix. A lattice is an array of dots, and the points in the array can be called pixels of an image. It is also possible to mathematically store images, such as vectors.

At another angle, the images can be images in various formats, such as JPG format, BMP format, and the like.

The lowermost cylinder in Figure 2 represents the storage space for the image, such as a different server cluster. As shown in the graph, the image with the "Key" value of the second-level index as "A" and "C" is stored in the corresponding address in the first server cluster, and the "Key" value of the second-level index is The image of "B" is stored in the corresponding address in the second server cluster, and the image of the "Key" value of the second level index is stored in the corresponding address in the third server cluster.

The image storage method 100 described above shows the specific execution order of step S110, step S120, and step S130. However, it will be understood by those of ordinary skill in the art that the order of execution is merely an example and not a limitation. For example, step S130 may be performed prior to step S120. Alternatively, step S130 may be performed simultaneously with step S120 to increase the execution speed of the image storage method 100.

When the management operation based on the image stored by the image storage method 100 is searched, displayed, deleted, etc., first, the uppermost index can be retrieved, and the lower index can be retrieved according to the highest index. Similarly, the retrieval is performed step by step until the lowest index is retrieved. Finally, the storage address of the image can be retrieved according to the globally unique identifier of the image in the lowest level index, and the image is obtained.

The image storage method 100 described above utilizes a multi-level index. At least one superior index can be indexed to A plurality of lower-level indexes solve the problem that the management operations such as image retrieval, display, and deletion in the prior art are inefficient, and the beneficial effects of improving image management efficiency are obtained accordingly.

Optionally, the step of establishing the multi-level index of the image in step S120 may further include step S121, establishing a first level index according to the first group of auxiliary information of the image.

The step S121 may specifically include: first, determining whether the first group of affiliate information of the image is overlapped with the first group of affiliate information of the image in the first level index; and then, for the case of no repetition, the first group of subsidiary information of the image is Add to this first level index. In this way, duplicate rows in the first level index are avoided, and the accuracy of the first level index is guaranteed.

Step S120 may further include step S122 of establishing a second level index according to the second set of subsidiary information of the image. In this step, the second set of ancillary information of the image is added to the second level index, whereby the established multi-level index is a secondary index. As described above, Figure 2 shows a schematic diagram of a secondary index in accordance with one embodiment of the present invention.

On the one hand, the storage and calculation of the secondary index are small; on the other hand, the primary index can correspond to a large number of secondary indexes. That is to say, the dimension of the primary index can be much larger than the secondary index, so that the secondary index can conveniently manage all the images and improve the management efficiency.

One of ordinary skill in the art will appreciate that more than three levels of indexing can also be established that can support the storage and management of a larger number of images. But this will put a greater burden on the storage system in terms of storage and computing.

According to an example of the present invention, the step S121 of establishing the first level index further comprises: establishing a first level index according to the first auxiliary information of the image and the collection date, wherein the collection date of the image is used to refer to the first level index The image is divided into second level indices, whereby the images involved in each second level index are images acquired on the same day. The step S122 above establishing the second level index further comprises: establishing a second level index according to the first auxiliary information of the image and the global unique identifier.

In the scheme according to this example, the image is divided into different second-level indexes according to the acquisition date of the image. As shown in the secondary index shown in FIG. 2, the first level index includes three columns, and the last column "Date" is the acquisition date of the image, which is used to determine the second level index of the image as described above.

The date the image was captured is an important attribute of the image. In a multi-user image management system, a user may make a request for retrieval and display of an image of a specific collection date. For example, for one An APP for monitoring image information at a specific location, which may have millions of users, uses the image capture device to capture a large number of images. For the user, it may be desirable to look back and retrieve the image for a certain period of time, and further divide the image by the date of collection of the image, which is more convenient for image management.

As shown in the secondary index shown in FIG. 2, the first auxiliary information may further include a user identifier (Uid) and/or an image source identifier (Sn) of the image capture device. These two are also one of the important attributes of the image. When the user makes a request for retrieval and display of an image, it is desirable to quickly return the desired result to the user. The user identifier and image source identifier of the image capture device are attributes related to the user with which the image desired by the user can be positioned relatively quickly.

FIG. 3 shows a schematic flow chart of an image storage method 300 in accordance with another embodiment of the present invention. As shown in FIG. 3, the image storage method 300 includes step S310, step S320, step S330, and step S340. The steps S310, S320, and S330 are similar to the corresponding steps in the image storage method 100, and are not described herein for brevity.

In step S320, a multi-level index of the image is created and stored based on the attached information of the image. The attached information of the image includes the date of collection of the image. In step S340, the index of the first acquired image and the first acquired image is deleted according to the date of collection of the image to release the storage space.

The storage space of the storage system is limited. How to make reasonable use of this limited storage space is an important issue. For users, such as the user of the APP for monitoring image information at a particular location in the example above, recent images are often more valuable. In this step S340, the first captured image and its index are deleted according to the image collection date, and the image that is more important to the user is retained, and the storage space can be released while satisfying the user's needs.

It will be appreciated that in the image storage methods 100 and 200 described above, the lower level index of the image may be stored in a server cluster that is different from the server cluster that stores the lower level indexes of other images. The lower-level index of the image is multiple, and there may be multiple server clusters, and the lower-level indexes of different images may be stored in different server clusters, thereby making more reasonable use of the storage space.

For an image to be stored, its storage address can be in a different server cluster than the storage address of other images. Returning again to FIG. 2, the image of the image acquisition device having the user identifier Uid of "123", the image source identifier Sn being "dddddc" and the key value Key being "A" is stored in the first In the server cluster, an image in which the user identifier Uid of the image capturing device is also "123", the image source identifier Sn is "adadfs", and the key value Key is "B" is stored in the second server cluster. The above image storage methods 100 and 200 support storing different images in different server clusters, effectively expanding the storage space of images through different server clusters.

According to another aspect of the present invention, an image storage device is also provided. 4 shows a schematic block diagram of an image storage device 400, as shown in FIG. 4, which includes a determining device 410, an indexing device 420, and a storage device 430, in accordance with an embodiment of the present invention.

The determining means 410 is operative to determine a globally unique identifier of the image, wherein the globally unique identifier is mapped one to one to the storage address of the image.

The indexing means 420 is for establishing and storing a multi-level index of the image based on the attached information of the image. Each of the upper levels includes a value for determining an adjacent lower level index, the value being used to divide the image involved in the upper level index into a corresponding adjacent lower level index. The lowest level index includes the globally unique identifier of the image.

Optionally, the indexing device 420 further includes a first indexing module 421 and a second indexing module 422. The first indexing module 421 is configured to establish a first level index according to the first group of auxiliary information of the image. The second indexing module 422 is configured to establish a second level index according to the second group of subsidiary information of the image.

Optionally, the first indexing module 421 further includes a first index establishing unit, configured to establish a first level index according to the first auxiliary information of the image and the collection date, where the collection date of the image is used to use the first level indexing The image involved is divided into a second level index. The second indexing module 422 further includes a second index establishing unit for establishing a second level index based on the first attached information and the globally unique identifier of the image.

The first affiliate information may further include: a user identifier and/or an image source identifier of the image capture device.

Optionally, the indexing device 420 further includes an index storage module for storing the lower level index of the image in a server cluster, wherein the server cluster is different from the server cluster storing the lower level indexes of other images.

The storage device 430 is configured to store the image to a storage address of an image to which the globally unique identifier of the image is mapped. Optionally, the storage address of the image is located in a different server cluster than the storage address of other images.

FIG. 5 shows a schematic flow chart of an image storage device 500 in accordance with another embodiment of the present invention. As shown in FIG. 5, the image storage device 500 includes a determining device 510, an indexing device 520, and a storage device 530 and a deleting device 540. The determining device 510, the indexing device 520, and the storage device 530 are respectively similar to the corresponding components in the image storage device 400, and are not described herein for brevity.

The deleting device 540 in the image storage device 500 is configured to delete the index of the first acquired image and the first captured image according to the date of collection of the image to release the storage space.

Those skilled in the art can understand the structures, implementations, and advantages of the image storage devices 400 and 500 described above by reading the above detailed description of the

image storage methods

100 and 300, and thus will not be described herein.

The algorithms and displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general purpose systems can also be used with the teaching based on the teachings herein. The structure required to construct such a system is apparent from the above description. Moreover, the invention is not directed to any particular programming language. It is to be understood that the invention may be embodied in a variety of programming language, and the description of the specific language has been described above in order to disclose the preferred embodiments of the invention.

In the description provided herein, numerous specific details are set forth. However, it is understood that the embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques are not shown in detail so as not to obscure the understanding of the description.

Similarly, the various features of the invention are sometimes grouped together into a single embodiment, in the above description of the exemplary embodiments of the invention, Figure, or a description of it. However, the method disclosed is not to be interpreted as reflecting the intention that the claimed invention requires more features than those recited in the claims. Rather, as the following claims reflect, inventive aspects reside in less than all features of the single embodiments disclosed herein. Therefore, the claims following the specific embodiments are hereby explicitly incorporated into the embodiments, and each of the claims as a separate embodiment of the invention.

Those skilled in the art will appreciate that the modules in the devices of the embodiments can be adaptively changed and placed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and further they may be divided into a plurality of sub-modules or sub-units or sub-components. In addition to such features and/or processes or In addition, at least some of the elements are mutually exclusive, and all of the features disclosed in the specification, including the accompanying claims, the abstract, and the drawings, and all processes or units of any method or apparatus so disclosed may be combined in any combination. Each feature disclosed in this specification (including the accompanying claims, the abstract and the drawings) may be replaced by alternative features that provide the same, equivalent or similar purpose.

In addition, those skilled in the art will appreciate that, although some embodiments described herein include certain features that are included in other embodiments and not in other features, combinations of features of different embodiments are intended to be within the scope of the present invention. Different embodiments are formed and formed. For example, in the following claims, any one of the claimed embodiments can be used in any combination.

The various component embodiments of the present invention may be implemented in hardware, or in a software module running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that some or all of the functionality of some or all of the components of the image storage device in accordance with embodiments of the present invention may be implemented in practice using a microprocessor or digital signal processor (DSP). The invention can also be implemented as a device or device program (e.g., a computer program and a computer program product) for performing some or all of the methods described herein. Such a program implementing the invention may be stored on a computer readable medium or may be in the form of one or more signals. Such signals may be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.

For example, Figure 6 illustrates a computing device that can implement a method of image storage in accordance with the present invention. The computing device traditionally includes a processor 610 and a computer program product or computer readable medium in the form of a storage device 620. Storage device 620 can be an electronic memory such as a flash memory, EEPROM (Electrically Erasable Programmable Read Only Memory), EPROM, hard disk, or ROM. Storage device 620 has a storage space 630 that stores program code 631 for performing any of the method steps described above. For example, storage space 630 storing program code may include respective program code 631 for implementing various steps in the above methods, respectively. The program code can be read from or written to one or more computer program products. These computer program products include program code carriers such as a hard disk, a compact disk (CD), a memory card, or a floppy disk. Such a computer program product is typically a portable or fixed storage unit such as that shown in FIG. The storage unit may have a similar appearance to the storage device 620 in the computing device of FIG. Set the storage segment, storage space, and so on. The program code can be compressed, for example, in an appropriate form. Typically, the storage unit comprises computer readable code 631' for performing the steps of the method according to the invention, ie code that can be read by a processor such as 610, which when executed by the computing device causes the computing device Perform the various steps in the method described above.

It is to be noted that the above-described embodiments are illustrative of the invention and are not intended to be limiting, and that the invention may be devised without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as a limitation. The word "comprising" does not exclude the presence of the elements or steps that are not recited in the claims. The word "a" or "an" The invention can be implemented by means of hardware comprising several distinct elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means can be embodied by the same hardware item. The use of the words first, second, and third does not indicate any order. These words can be interpreted as names.

Claims

An image storage method comprising:

Determining a globally unique identifier of the image, wherein the globally unique identifier is mapped one-to-one to a storage address of the image;

Establishing and storing a multi-level index of the image according to the attached information of the image, wherein each upper level index includes a value for determining an adjacent lower level index, and the value for determining an adjacent lower level index is used to The image involved in the superior index is divided into corresponding adjacent lower level indexes, and the lowest level index includes a globally unique identifier of the image;

The image is stored to a storage address of the image to which the globally unique identifier of the image is mapped.
The image storage method according to claim 1, wherein the establishing the multi-level index of the image further comprises:

Establishing a first level index based on the first set of ancillary information of the image;

A second level index is established based on the second set of ancillary information of the image.
The image storage method according to claim 2, wherein

The establishing the first level index further includes:

Establishing the first level index according to the first auxiliary information of the image and the collection date, wherein the collection date of the image is used to divide an image involved in the first level index into the second level index;

The establishing the second level index further includes:

The second level index is established based on the first affiliate information and the globally unique identifier of the image.
The image storage method according to claim 3, wherein said first subsidiary information further comprises: a user identifier and/or an image source identifier of the image capture device.
The image storage method according to claim 3 or 4, wherein the method further comprises:

The index of the first acquired image and the first captured image is deleted according to the date of collection of the image to release the storage space.
The image storage method according to any one of claims 1 to 4, wherein the storing the multi-level index of the image further comprises:

The subordinate index of the image is stored in a server cluster, wherein the server cluster is different from a server cluster that stores subordinate indexes of other images.
The image storage method according to any one of claims 1 to 4, wherein the storage address of the image is located in a different server cluster than the storage address of the other image.
An image storage device comprising:

Determining means for determining a globally unique identifier of the image, wherein the globally unique identifier is mapped one to one to a storage address of the image;

An indexing device, configured to establish and store a multi-level index of the image according to the auxiliary information of the image, where

Each of the upper indexes includes a value for determining an adjacent lower level index, the value for determining the adjacent lower level index is used to divide the image involved in the upper level index into a corresponding adjacent lower level index, and the lowest level index includes a globally unique identifier of the image;

a storage device for storing the image to a storage address of the image to which the globally unique identifier of the image is mapped.
The image storage device of claim 8, wherein the indexing device further comprises:

a first indexing module, configured to establish a first level index according to the first group of subsidiary information of the image;

And a second indexing module, configured to establish a second level index according to the second group of subsidiary information of the image.
The image storage device according to claim 9, wherein

The first indexing module further includes:

a first index establishing unit, configured to establish the first level index according to the first auxiliary information of the image and an acquisition date, where an acquisition date of the image is used to divide an image involved in the first level index To the second level index;

The second indexing module further includes:

And a second index establishing unit, configured to establish the second level index according to the first auxiliary information and the global unique identifier of the image.
The image storage device according to claim 10, wherein said first subsidiary information further comprises: a user identifier and/or an image source identifier of the image capture device.
The image storage device according to claim 10 or 11, wherein the device further comprises:

And a deleting device, configured to delete an index of the first acquired image and the first collected image according to an acquisition date of the image to release the storage space.
A computer program comprising computer readable code, when the computer readable code is run on a computing device, causing the computing device to perform the method of image storage according to any of claims 1-7.
A computer readable medium storing the computer program of claim 13.