CN112783986A - Object grouping compiling method and device based on label, storage medium and terminal - Google Patents
Object grouping compiling method and device based on label, storage medium and terminal Download PDFInfo
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Abstract
A label-based object grouping compilation method and device, a storage medium and a terminal are provided, wherein the label-based object grouping compilation method comprises the following steps: acquiring a region range and a time node of an object to be generated; matching the area range with the source position of each preset object, and matching the time node with the time range of each preset object; taking a preset object with a source position falling into the area range and a time range falling into the time node as the content of the object; and generating the label of the object according to the area range and the time node. The technical scheme of the invention can generate the object and ensure the convenience of object retrieval.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a label-based object grouping compiling method and device, a storage medium and a terminal.
Background
In recent years, with the rapid development of internet technology and artificial intelligence, the data volume in a computer is large, the objects are various, and the objects are grouped and compiled, so that users can better screen and view required information.
However, compiling batch data into objects requires a user to prepare a large number of objects in advance, which significantly increases the workload of the user. Different users have certain randomness in naming and classification, so that data of the input object is complicated, the user spends time in object compiling and invalid information can be generated in the later-stage retrieval of the object, and the working pressure of the user is increased.
Disclosure of Invention
The technical problem solved by the invention is how to generate the object and ensure the convenience of object retrieval.
In order to solve the above technical problem, an embodiment of the present invention provides a tag-based object grouping and compiling method, where the tag-based object grouping and compiling method includes: acquiring a region range and a time node of an object to be generated; matching the area range with the source position of each preset object, and matching the time node with the time range of each preset object; taking data contained in a preset object with the future source position falling into the area range and the time range falling into the time node as the content of the object; and generating the label of the object according to the area range and the time node.
Optionally, the generating the label of the object according to at least the area range and the time node includes: and generating a label of the object according to the area range and the time node, wherein the label of the object comprises the area range and the time node.
Optionally, the generating the label of the object according to at least the area range and the time node includes: acquiring user information, wherein the user information comprises a collective category of a user; and generating a label of the object according to the user information, the area range and the time node, wherein the label of the object comprises the user information, the area range and the time node.
Optionally, the object grouping and compiling method based on the tag further includes: acquiring user information, wherein the user information comprises a collective category of a user and a level of the user in the collective category; determining a root node according to the collective category of the user, and determining child nodes under the root node according to the level of the user in the collective category; and placing the object at the position of the child node.
Optionally, the object grouping and compiling method based on the tag further includes: and presenting each object according to the position relation of the node where each object is located.
Optionally, the object grouping and compiling method based on the tag further includes: acquiring keywords input by a user and user information, wherein the user information comprises a collective category of the user; determining a root node according to the collective category of the user, and matching the keywords with each function child node under the root node; and placing the object at the position of the matched functional child node.
Optionally, the obtaining the area range and the time node of the object to be generated includes: acquiring the area range and the time node of the object to be generated based on the input of a user; or, determining the area range of the object to be generated according to the physical position of the device used by the user, and analyzing and determining the time node according to the execution time of the object to be generated input by the user.
In order to solve the above technical problem, an embodiment of the present invention further discloses a tag-based object grouping and compiling device, where the object generating device includes: the acquisition module is used for acquiring the area range and the time node of the object to be generated; the matching module is used for matching the area range with the source position of each preset object and matching the time node with the time range of each preset object; the object determining module is used for determining the data contained in a preset object with the source position falling into the area range and the time range falling into the time node as the content of the object; and the label generating module is used for generating the label of the object at least according to the area range and the time node.
The embodiment of the invention also discloses a storage medium, wherein a computer program is stored on the storage medium, and the computer program is executed by a processor to execute the steps of the object grouping and compiling method based on the label.
The embodiment of the invention also discloses a terminal which comprises a memory and a processor, wherein the memory is stored with a computer program which can be run on the processor, and the processor executes the steps of the object grouping and compiling method based on the label when running the computer program.
Compared with the prior art, the technical scheme of the embodiment of the invention has the following beneficial effects:
according to the technical scheme, the area range and the time node of the object to be generated are obtained; matching the area range with the source position of each preset object, and matching the time node with the time range of each preset object; taking a preset object with a source position falling into the area range and a time range falling into the time node as the content of the object; and generating the label of the object according to the area range and the time node. According to the technical scheme, the corresponding video object can be rapidly extracted from a large number of preset objects through the area range and the time node set by the user; in addition, the label is generated for the object by at least utilizing the area range and the time node, so that the label can indicate the content of the object, a user can quickly and conveniently retrieve and view the object through the label, and the user experience is improved.
Further, after the object is generated according to the requirement of the user, the object may be placed at the position of the child node corresponding to the level in the collective category where the user is located. Then, user-generated objects with different levels will be placed at child nodes at different locations, enabling the user to more intuitively view the various objects.
Drawings
FIG. 1 is a flow chart of a tag-based object grouping method according to an embodiment of the present invention;
FIG. 2 is a flowchart of one embodiment of step S104 shown in FIG. 1;
FIG. 3 is a partial flow chart of a method for tag-based grouping of objects according to an embodiment of the present invention;
FIG. 4 is a partial flow diagram of another tag-based object grouping method according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an object grouping and compiling device based on tags according to an embodiment of the present invention.
Detailed Description
As described in the background art, compiling a batch of videos into objects requires a user to prepare a large number of objects in an early stage, which significantly increases the workload of the user. Different users have certain randomness in naming and classification, so that data of the input object is complicated, the user spends time in object compiling and invalid information can be generated in the later-stage retrieval of the object, and the working pressure of the user is increased.
According to the technical scheme, the corresponding video object can be rapidly extracted from a large number of preset objects through the area range and the time node set by the user; in addition, the label is generated for the object by at least utilizing the area range and the time node, so that the label can indicate the content of the object, a user can quickly and conveniently retrieve and view the object through the label, and the user experience is improved.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Fig. 1 is a flowchart of an object grouping method based on tags according to an embodiment of the present invention. The object is an object output or generated by the intelligent security system. The intelligent security system can comprise a plurality of cameras and a server connected with the cameras, and the object can be generated or output by the server.
The object grouping and compiling method based on the label of the object specifically comprises the following steps:
step S101: acquiring a region range and a time node of an object to be generated;
step S102: matching the area range with the source position of each collected preset object, and matching the time node with the time range of each preset object;
step S103: taking data contained in a preset object with the future source position falling into the area range and the time range falling into the time node as the content of the object;
step S104: and generating the label of the object according to the area range and the time node.
It should be noted that the sequence numbers of the steps in this embodiment do not represent a limitation on the execution sequence of the steps.
In this embodiment, the preset object may be acquired in advance, and the preset object has a source location and a time range. In a specific application scenario, the object to be generated may be a video plan, and the preset object may be a surveillance video. The surveillance video may come from multiple cameras, which may be located in a number of different geographical locations. The data volume contained in the preset object is large, and when a user needs to have a viewing demand on part of the data in the preset object, the object needs to be generated by steps S101 to S104 shown in fig. 1.
In a specific implementation of step S101, the area range and the time node of the object to be generated may be acquired. The area range and the time node can be preset by the user according to the actual requirement of the user.
In a specific embodiment, step S101 may include the steps of: and acquiring the area range and the time node of the object to be generated based on the input of the user.
In this embodiment, a user may input an area range and a time node for an object through a computer device. Wherein, the region range may refer to a range included by the object; a time node may refer to a time range of data contained by an object. The time node may be a continuous time or an integration of a plurality of continuous times.
In a specific implementation, the user may input the region range and the time node of the object to be generated in the visualization interface, or select the region range and the time node of the object to be generated in options provided by the visualization interface.
In another embodiment, step S101 may include the steps of: and determining the area range of the object to be generated according to the physical position of the equipment used by the user, and analyzing and determining the time node according to the execution time of the object to be generated input by the user.
In this embodiment, the area range of the object may be determined according to the physical location of the device used by the user. Specifically, the area range of the object may be a circular area having a radius of a preset value centered on the physical location of the device used by the user. The user can also input the execution time of the object to be generated, and the time node is extracted by analyzing the execution time.
With continued reference to fig. 1, in a specific implementation of step S102, since the preset object has a source location and a shooting time, and the object to be generated has an area range and a time node, the area range may be matched with the source location of each preset object, and the time node may be matched with the time range of each preset object.
Specifically, the preset objects photographed by the respective cameras may be stored in the database in advance. When the object needs to be generated, relevant attribute information of a preset object, such as source position and shooting time, is called from a database for matching. The matching operation may be semantic matching, keyword matching, and the like, which is not limited in this embodiment of the present invention.
Furthermore, in the implementation of step S103, the source location falling within the area scope means that the source location is consistent with the area scope, and represents the same physical location. Meanwhile, since the shooting time span of the preset object is large and the time node set by the user is only a part of the time span, only the preset object falling into the time node can be taken as the content of the object.
For example, if the area range is a street at the mouth of a family, and the source position of the preset object 1 is a century road and an east road intersection, the source position of the preset object 1 falls into the area range; the time node is 17 days 6 and 6 months in 2020, and the preset object 1 contains all video data in 6 months in 2020, so that the video content is only the video data corresponding to 17 days 7 and 17 months in 2020 in the preset object 1.
Up to this point, objects have been obtained that meet the user's requirements with respect to location and time.
To further satisfy the search requirements of the user, in a specific implementation of step S104, a tag may be generated for each generated object. As described above, an object is generated from an area range and a time node, and a tag of the object may be generated from the area range and the time node in order to accurately express the content of the object. The label of the object comprises the area range and the time node.
By establishing the labels for the objects in the unified mode, the objects can be classified in the unified mode, and a user can conveniently and directly search the objects according to the labels.
According to the embodiment of the invention, the corresponding video object can be rapidly extracted from a large number of preset objects through the area range and the time node set by the user; in addition, the label is generated for the object by at least utilizing the area range and the time node, so that the label can indicate the content of the object, a user can quickly and conveniently retrieve and view the object through the label, and the user experience is improved.
In a specific example, step S104 may include the steps of: and generating a label of the object according to the area range and the time node, wherein the label of the object comprises the area range and the time node.
In this embodiment, the tag of the object may be generated only according to the area range and the time node. In particular, objects may be named using their tags, helping a user to more intuitively learn their tags.
In another specific example, referring to fig. 2, step S104 shown in fig. 1 may include the following steps:
step S201: acquiring user information, wherein the user information comprises a collective category of a user;
step S202: and generating a label of the object according to the user information, the area range and the time node, wherein the label of the object comprises the user information, the area range and the time node.
Unlike the foregoing embodiment, in the present embodiment, user information is also added to the generation tag. The user information includes a group category in which the user is located, for example, in the public security industry, the group category in which the user is located may include different police.
It is understood that the specific classification of the collective category may be customized by the user according to the actual application environment, and the embodiment of the present invention is not limited thereto.
Because the monitoring data required by different collective categories are different, the embodiment of the invention can enable the user to select the corresponding object according to the collective category in which the user is positioned by embodying the user information in the tag, thereby avoiding checking invalid monitoring data.
Referring to fig. 3, an embodiment of the present invention further discloses another object grouping and compiling method based on tags, where the object grouping and compiling method based on tags specifically includes the following steps:
step S301: acquiring user information, wherein the user information comprises a collective category of a user and a level of the user in the collective category;
step S302: determining a root node according to the collective category of the user, and determining child nodes under the root node according to the level of the user in the collective category;
step S303: and placing the object at the position of the child node.
The above-described steps S301 to S303 may be performed after the steps S101 to S104 shown in fig. 1.
In this embodiment, the user has a level in the group category in which the user is located, and the user information may include the group category in which the user is located and the level of the user in the group category in which the user is located. Each collective category corresponds to a root node and, correspondingly, each level in each collective category corresponds to a child node. The nodes corresponding to the collective category and its level can form a tree structure. That is, each user corresponds to a child node since each user has a corresponding level.
Specifically, the user information may be pre-configured by the user. When the object needs to be generated, the user information can be directly called. For example, a user registers an account in the object generating system to fill in personal information, and when the user needs to generate an object, the user can directly call the personal information of the user for use.
After generating the objects according to the requirements of the user, in order to enable the user to view each object more intuitively, the objects may be placed at the positions of the child nodes corresponding to the user. Then user-generated objects with different levels will be placed at child nodes at different locations. So far, a tree structure can be formed among the objects.
In one non-limiting embodiment of the present invention, the method shown in FIG. 3 may further comprise the steps of: the method comprises the following steps: and presenting each object according to the position relation of the node where each object is located.
As described above, the nodes corresponding to the collective category and the level thereof in the user information can form a tree structure. A tree structure can also be formed between objects with different user generation. When a user needs to view an object, a corresponding root node can be found according to the collective category of the user, and each object at each child node position under the root node is presented in a tree structure, namely, according to the position relationship of the node where each object is located.
Referring to fig. 4, an embodiment of the present invention further discloses another object grouping and compiling method based on tags, where the object grouping and compiling method based on tags specifically includes the following steps:
step S401: acquiring keywords input by a user and user information, wherein the user information comprises a collective category of the user;
step S402: determining a root node according to the collective category of the user, and matching the keywords with each function child node under the root node;
step S403: and placing the object at the position of the matched functional child node.
The above-described steps S401 to S403 may be performed after the steps S101 to S104 shown in fig. 1.
Different from the foregoing embodiment, in this embodiment, after acquiring the user information, the keyword is matched with each function child node under the root node. Wherein, the function child node has attribute information, such as name, function description, etc., and the function child node matching with the keyword can be determined by matching the keyword with the attribute information of the function child node. The function sub-nodes can be set by users according to actual application requirements.
Further, the object generated by the user may be placed at the location of the matching functional child node.
For example, the user sets a function child node "traffic improvement", and when the keyword entered by the user at the time of generating the object matches with "traffic improvement", it can be determined that the object generated by the user can be placed at the position of the function child node.
With reference to fig. 3 and 4, when the user information includes the keyword, the collective category in which the user is located, and the level of the user in the collective category, the user-generated object may be placed at the level of the user in the collective category to determine the position of the child node under the root node, or may be placed at the position of the functional child node matching the keyword.
In a specific application scenario, the steps of the object grouping and compiling method based on the label may be executed by a server in the smart security system. The server can acquire a place input by a user and match the place with the position of each camera; the server can also acquire the time input by the user to select the video shot by the matched camera in the time input by the user so as to generate the object. Meanwhile, the label can be generated based on the input information. Furthermore, the server can also acquire the classification information of the police, departments and the like to which the user belongs, and display the generated object according to the hierarchical relationship of the classification information.
Referring to fig. 5, an embodiment of the present invention further discloses an object generating apparatus 50, where the object generating apparatus 50 includes an obtaining module 501, a matching module 502, an object determining module 503, and a tag generating module 504.
The obtaining module 501 is configured to obtain an area range and a time node of an object to be generated; the matching module 502 is configured to match the area range with a source position of each preset object, and match the time node with a time range of each preset object; the object determination module 503 is configured to use a preset object with a source location falling into the area range and a time range falling into the time node as the content of the object; the label generating module 504 is configured to generate a label of the object according to at least the area range and the time node.
According to the embodiment of the invention, the corresponding video object can be rapidly extracted from a large number of preset objects through the area range and the time node set by the user; in addition, the label is generated for the object by at least utilizing the area range and the time node, so that the label can indicate the content of the object, a user can quickly and conveniently retrieve and view the object through the label, and the user experience is improved.
For more details of the operation principle and the operation mode of the object generating apparatus 50, reference may be made to the relevant descriptions in fig. 1 to fig. 4, which are not described herein again.
The embodiment of the invention also discloses a storage medium, which is a computer-readable storage medium and stores a computer program thereon, and the computer program can execute the steps of the methods shown in fig. 1-4 when running. The storage medium may include ROM, RAM, magnetic or optical disks, etc. The storage medium may further include a non-volatile memory (non-volatile) or a non-transitory memory (non-transient), and the like.
The embodiment of the invention also discloses a terminal which can comprise a memory and a processor, wherein the memory is stored with a computer program which can run on the processor. The processor, when running the computer program, may perform the steps of the methods shown in fig. 1-4. The terminal includes, but is not limited to, a mobile phone, a computer, a tablet computer and other terminal devices.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A tag-based object grouping compilation method is characterized by comprising the following steps:
acquiring a region range and a time node of an object to be generated;
matching the area range with the source position of each collected preset object, and matching the time node with the time range of each preset object;
taking data contained in a preset object with the future source position falling into the area range and the time range falling into the time node as the content of the object;
and generating the label of the object according to the area range and the time node.
2. The tag-based object grouping method of claim 1, wherein the generating the tag of the object according to at least the area scope and the time node comprises:
and generating a label of the object according to the area range and the time node, wherein the label of the object comprises the area range and the time node.
3. The tag-based object grouping method of claim 1, wherein the generating the tag of the object according to at least the area scope and the time node comprises:
acquiring user information, wherein the user information comprises a collective category of a user;
and generating a label of the object according to the user information, the area range and the time node, wherein the label of the object comprises the user information, the area range and the time node.
4. The tag-based object grouping method according to claim 1, further comprising:
acquiring user information, wherein the user information comprises a collective category of a user and a level of the user in the collective category;
determining a root node according to the collective category of the user, and determining child nodes under the root node according to the level of the user in the collective category;
and placing the object at the position of the child node.
5. The tag-based object grouping method according to claim 4, further comprising:
and presenting each object according to the position relation of the node where each object is located.
6. The tag-based object grouping method according to claim 1, comprising:
acquiring keywords input by a user and user information, wherein the user information comprises a collective category of the user;
determining a root node according to the collective category of the user, and matching the keywords with each function child node under the root node;
and placing the object at the position of the matched functional child node.
7. The tag-based object grouping compilation method according to claim 1, wherein the obtaining of the area range and the time node of the object to be generated comprises:
acquiring the area range and the time node of the object to be generated based on the input of a user;
or, determining the area range of the object to be generated according to the physical position of the device used by the user, and analyzing and determining the time node according to the execution time of the object to be generated input by the user.
8. A tag-based object grouping apparatus, comprising:
the acquisition module is used for acquiring the area range and the time node of the object to be generated;
the matching module is used for matching the area range with the source position of each preset object and matching the time node with the time range of each preset object;
the object determining module is used for determining the data contained in a preset object with the source position falling into the area range and the time range falling into the time node as the content of the object;
and the label generating module is used for generating the label of the object at least according to the area range and the time node.
9. A storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the steps of the tag-based object grouping method of any one of claims 1 to 7.
10. A terminal comprising a memory and a processor, the memory having stored thereon a computer program operable on the processor, wherein the processor, when executing the computer program, performs the steps of the tag-based object grouping method of any one of claims 1 to 7.
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