CN110929076A - Information processing method and device - Google Patents
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- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
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- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
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Abstract
The application discloses an information processing method and device, and relates to the technical field of information processing. The method includes acquiring an image including at least two objects; determining the position of each object in the image, and adding a label to the position of each object, wherein the label comprises the attribute of the object corresponding to the label; when the object has the associated object, adding the attribute of the associated object on the tag of the object, or setting the tag of the object to be associated with the tag of the associated object, so that the tag of the object and the tag of the associated object are read simultaneously; and inputting the image with the label. Correspondingly, the application also provides an information processing method for reading the attribute included by the label of the target object. By using the method provided by the application, the input and reading speed of the information can be improved, the time overhead is reduced, and the processing efficiency is improved.
Description
Technical Field
The present application relates to the field of information processing technologies, and in particular, to a method and an apparatus for processing information.
Background
With the development of technology, computers and their derivative devices (hereinafter, referred to as electronic devices) are widely used, and when electronic devices are used, information input or reading operation is often required.
The input of information means that an object and its attribute are input. Reading the information is to read the object and the attribute thereof. In practical application, a plurality of objects and attributes thereof are required to be input, namely, batch information input is often required, and a single successive input method is low in efficiency and high in time cost, so that a batch information input method is adopted, namely, a plurality of objects and attributes thereof are input integrally as a whole, and all information of the whole is correspondingly read when information is read.
However, since only some objects and their attributes need to be read when reading information, the extra objects and their attributes read have no utility value, and also bring unnecessary time overhead and reduce the efficiency of information reading. Furthermore, since the object to be read and its attribute cannot be predicted in advance when information is input, input can only be performed again according to the accumulated reading condition and feedback, for example, an object with no utility value and its description expression are deleted to reduce the time overhead when information is read, but this relatively increases the time overhead when information is input, and reduces the processing efficiency.
Disclosure of Invention
In order to solve the above technical problems, the present application provides an information processing method and apparatus, which can increase the speed of inputting and reading information, reduce the time overhead, and improve the processing efficiency.
The application provides an information processing method, which comprises the following steps:
acquiring an image comprising at least two objects;
determining the position of each object in the image, and adding a label to the position of each object, wherein the label comprises the attribute of the object corresponding to the label;
when the object has an associated object, adding the attribute of the associated object to the tag of the object,
or, setting the tag of the object to be associated with the tag of the associated object, so that the tag of the object and the tag of the associated object are read simultaneously;
and inputting the image added with the label.
Optionally, the acquiring an image including at least two objects specifically includes:
acquiring images including at least two objects under different shooting conditions, wherein the shooting conditions at least include one of the following items:
shooting angle, shooting illumination and shooting distance.
Optionally, the description includes at least one of:
text, pictures, audio, and video.
The application provides an information processing method, which comprises the following steps:
acquiring an image added with a label, wherein the label is added at the position of each object, and the label comprises the attribute of the object corresponding to the label;
determining a label of a target object in the image after the label is added;
reading the attribute included in the tag of the target object;
optionally, when there is an associated object in the target object, the method further includes: and determining the label of the associated object associated with the label of the target object, and reading the attribute of the associated object.
The application provides an information processing device, including: the device comprises a first acquisition unit, an adding unit and an entry unit;
the first acquisition unit is used for acquiring an image comprising at least two objects;
the adding unit is used for determining the position of each object in the image and adding a label to the position of each object, wherein the label comprises the attribute of the object corresponding to the label;
the adding unit is further used for adding the attribute of the associated object to the label of the object when the associated object exists in the object,
or, setting the tag of the object to be associated with the tag of the associated object, so that the tag of the object and the tag of the associated object are read simultaneously;
the input unit is used for inputting the image added with the label.
Optionally, the first obtaining unit is configured to obtain an image including at least two objects, and specifically includes:
the first acquisition unit is configured to acquire images including at least two objects under different shooting conditions, where the shooting conditions include at least one of:
shooting angle, shooting illumination and shooting distance.
The present application also provides an information processing apparatus, including: a second acquisition unit, a determination unit and a reading unit;
the second acquiring unit is used for acquiring an image added with a label, wherein the label is added at the position of each object, and the label comprises the attribute of the object corresponding to the label;
the determining unit is used for determining the label of the target object in the image after the label is added;
the reading unit is used for reading the attribute of the target object included in the label of the target object;
the reading unit is further configured to determine a tag of the associated object associated with the tag of the target object and read an attribute of the associated object when the associated object exists in the target object. .
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of processing information as set forth in any one of the above.
The application also provides an electronic device, wherein the electronic device is used for running a program, and the program executes the information processing method in the running process.
The method of the present application has at least the following advantages:
the embodiment of the application provides an information input method, which comprises the steps of firstly obtaining an image comprising at least two objects; the position of each object is determined in the image, a label is added to the position of each object, the label comprises the attribute of the object corresponding to the label, when the related object exists in the object, the attribute of the related object of the object is added to the label of the object, or the label of the object is set to be related to the label of the related object, so that the label of the object and the label of the related object are read simultaneously, and therefore the related condition between the objects can be input simultaneously when information is input. And finally, inputting the image added with the label, so that batch information input can be realized, and the time overhead of information input is reduced. When information is read, firstly, an image after a label is added is obtained, a label of a target object is determined in the image after the label is added, the target object can be determined according to actual conditions, then, the attribute of the target object included in the label of the target object is read, when the target object has the related object, the label of the related object related to the label of the target object is determined, and the attribute of the related object is read, so that the related conditions among all objects can be read simultaneously when the information is read.
By the data processing method, batch input of information can be achieved, and time overhead of information input is reduced. And because the attribute of the target object is read according to the label of the target object when the data is read, the reading of the attribute of an additional object can be avoided, the time overhead during the reading is reduced, the tedious operation of inputting information again according to the accumulated reading condition is also avoided, the time overhead of inputting information is relatively further reduced, and the processing efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for processing information according to an embodiment of the present application;
FIG. 2 is a flow chart of another information processing method provided by an embodiment of the present application;
fig. 3 is a first scenario diagram provided in the embodiment of the present application;
fig. 4 is a schematic view of a scenario two provided in the embodiment of the present application;
fig. 5 is a schematic view of a third scenario provided in the embodiment of the present application;
FIG. 6 is a schematic diagram of an apparatus for processing information according to an embodiment of the present disclosure;
FIG. 7 is a schematic diagram of another information processing apparatus according to an embodiment of the present disclosure;
fig. 8 is a schematic view of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be understood that the terms "first", "second", and the like in the embodiments of the present application are only for convenience of description and do not constitute a limitation on the present application.
The method comprises the following steps:
the embodiment of the present application provides an information processing method, which is used for inputting information and reading information, and is specifically described below with reference to the accompanying drawings.
First, a method of inputting information will be described below.
Referring to fig. 1, the figure is a flowchart of a method for processing information according to an embodiment of the present application.
The method comprises the following steps:
s101: an image including at least two objects is acquired.
The method provided by the embodiment of the application aims to realize the purpose of quickly and efficiently inputting the attributes of the object. The object may be a person, an animal, other articles, and the like, which is not particularly limited in this embodiment of the present application.
The method comprises the steps of obtaining a pre-shot image, wherein the image comprises at least two objects needing to input attributes, and reflecting the states of the objects and the relation between the objects better through the image.
For example, when the object is a second-hand article sold in bulk, the image may include a whole set of second-hand articles, so that the storage of each second-hand article and the matching relationship between the second-hand articles, such as the matching relationship between a photo and a photo frame, a table and a chair, a vase and a decoration flower, can be visually embodied.
For another example, when the object is a person, the image may include the entire group of persons, which may reflect information such as occupation or work environment of the group of persons, and the relationship between the persons, such as persons in the same department or group, or persons having the same occupation.
The target object to be read can be more efficiently and quickly determined and selected by utilizing the image, and further, the images comprising the at least two objects under different shooting conditions can be obtained. Wherein the photographing condition includes at least one of a photographing angle, photographing illumination, and a photographing distance. Through different shooting images, the characteristics of each object can be better reflected. For example, when the object is an object, the images at different shooting angles can reflect the appearance characteristics of the object in all directions.
S102: and determining the position of each object in the image, and adding a label to the position of each object, wherein the label comprises the attribute of the object corresponding to the label.
The position of each object in the image is determined, a label is added at the corresponding position for labeling, the attribute of the corresponding object is input in the label, and the attribute of the object can be read according to the label when information is read.
The attributes can describe characteristics such as the state and attributes of the object. Optionally, the attribute may be at least one of text, picture, audio, and video, which is not specifically limited in this embodiment of the application.
For example, when the object is an item, the attribute may be used to describe a value attribute, a production date, a storage status, a use description, and the like of the item.
Also for example, when the object is a person, the attributes may be used to describe the person's occupation, department, position, etc.
S103: when the object has the associated object, adding the attribute of the associated object to the tag of the object, or setting the tag of the object to be associated with the tag of the associated object, so that the tag of the object and the tag of the associated object are read simultaneously.
When the associated objects exist in the objects, the association relationship between the objects can also be input when the information is input.
The association relationship is a relationship existing between objects, for example, a relationship between a table and a chair, a relationship between a vase and a decoration flower, or a relationship between people in the same department group, and the specific relationship is not limited in the present application.
In a possible implementation manner, the attribute of the associated object may be added to the tag of the object, so that the attribute of the associated object can be obtained when the tag of the object is read. And a link for associating the label of the object can be added on the label of the object so as to realize quick jump and reading.
In another possible implementation manner, the tag of the object and the tag of the associated object may be set to be associated, so that the tag of the object and the tag of the associated object can be read simultaneously, that is, the object and the tag of the associated object are bound together, and when the tag of the object is read, the tag of the associated object is also automatically read.
S104: and inputting the image with the label.
In practical application, different images including the same group of objects can be input according to needs, the position relation of each object in different images can be different, and a plurality of images can be shot under different conditions, so that the states of the objects under different shooting conditions can be reflected. In one possible implementation, the same label may be used in common for the same object of different images, so that the label includes a description that only needs to be determined at the first addition and may continue to be used later. In another possible implementation manner, the tags of the same object of different images can also modify the attributes in the tags in combination with the shooting conditions of the corresponding images.
By the information processing method, batch input of information can be achieved, time cost of information input is reduced, and the image is used for reflecting the relation between the state of the object and the object, so that the target object to be read can be determined more efficiently and rapidly.
The following describes a method of reading information.
Referring to fig. 2, the figure is a flowchart of another information processing method provided in the embodiment of the present application.
The method comprises the following steps:
s201: and acquiring the image added with the label, wherein the label is added at the position of each object and comprises the attribute of the object corresponding to the label.
Further, images including all the objects under different photographing conditions are acquired. Wherein the photographing condition includes at least one of a photographing angle, photographing illumination, and a photographing distance.
S202: and determining the label of the target object in the image after the label is added.
And determining the target object according to the requirement, and further determining the position of the label of the target object from the image added with the label.
S203: reading the attribute included in the tag of the target object.
S204: when the target object has the associated object, the tag of the associated object associated with the tag of the target object is determined, and the attribute of the associated object is read.
By using the information reading method provided by the embodiment of the application, because the attribute of the target object is read according to the tag of the target object when the data is read, the reading of the additional attribute of the object can be avoided, the time overhead during the reading is reduced, the tedious operation of inputting the information again according to the accumulated reading condition is also avoided, the time overhead of inputting the information is relatively further reduced, and the processing efficiency is improved.
Scene embodiment:
the following describes the information processing method provided by the present application in detail with reference to specific application scenarios.
Scene one: the method is applied to a second-hand article trading platform as an example.
Referring to fig. 3, this figure is a first scenario diagram provided in the embodiment of the present application.
The object of the scene is a second-hand article, and at present, when a plurality of or a whole set of second-hand articles need to be sold at the same time, for example, a whole set of furniture, a whole set of computer equipment or a whole set of clothes, the following two ways are often provided: each article in the whole set of articles is individually marked, uploaded and sold; or, the complete set of articles is uploaded and sold in a complete set
However, the single uploading method is unrealistic for the seller to sell the large amount of second-hand commodities, the operation time cost is high, the communication cost with the buyer is high, the freight of each commodity is high, and the time consumption is long. For the buyer, if the package needs to be purchased, the single purchase transportation cost is high, and the operation is troublesome.
The possibility of selling the goods in the set is low, so that most goods in the set are useful for the buyer, and the purchase will be low and additional waste is caused as long as some goods are useless.
When uploading the second-hand articles, the information processing method provided by the application acquires images containing the second-hand articles, determines the positions of the second-hand articles on the images, and adds labels to the positions of the second-hand articles, such as a printer corresponding to the label ①, an office chair corresponding to the label ②, a desk corresponding to the label ③, and a conference table and chair corresponding to the label ④.
When there are at least two complete sales of used articles, such as office chair ② and desk ③ in the figure, and when they are not being sold separately, the attributes of their associated objects can be added to the tags of the objects in one possible implementation, namely, the attribute of tag ③ is added to tag ③ 0 and the attribute of tag ② is added to tag ③, and the contents of tags ② and ③ are the same.
And when the information is read, acquiring the image with the label, and reading the attribute included in the label of the target second-hand article after the label of the target second-hand article is determined in the image with the label. When there are items that require a full sale, the tags and attributes of the second-hand items associated with the tags of the target second-hand items are further determined.
Scene two: the method is applied to a warehouse goods management platform as an example.
Referring to fig. 4, this figure is a schematic view of a scenario two provided in the embodiment of the present application.
The object of the scene is storage articles, in practical application, detailed and accurate information entry is often required when large warehouses such as supermarkets, electrical furniture, e-commerce and grain crop seeds are warehoused, and the information processing method provided by the embodiment of the application can be applied to the scene.
At present, warehouse warehousing usually adopts a method of registering one by one (class), and has low efficiency and large time overhead. Even if the logging-in is more detailed, the searching cannot be performed later when the warehouse is out.
By using the information processing method provided by the embodiment of the application, when the storage articles are registered, the images of various types of storage articles in a certain area of a warehouse are firstly obtained, then the positions of various types of storage articles are determined on the images, and labels are added to the positions of various types of storage articles, for example, the label ① corresponds to the type a, the label ② corresponds to the type B, and the label ③ corresponds to the type C.
When at least two types of storage articles are associated articles and need to be synchronously delivered or stored in a warehouse, for example, the storage articles corresponding to ② and ③ in the figure are associated articles, in one possible implementation manner, the attribute of the associated storage articles can be added to the label of the storage articles, that is, the attribute of the label ③ is added to the label ③ 0 at the same time, and the attribute of the label ② is added to the label ③ at the same time, at this time, the contents of the labels ② and ③ are the same.
And when the information is read, acquiring the image after the label is added, and reading the attribute included in the label of the target warehouse article after the label of the target warehouse article is determined in the image after the label is added. When there is an associated bin item, the tag and attribute of the bin item associated with the tag of the target bin item are further determined.
Scene three: the method is applied to a human resource management platform as an example.
Referring to fig. 5, this figure is a schematic view of a third scenario provided in the embodiment of the present application.
The object of the scene is a person, in practical application, information input of staff is required in schools, hospitals, enterprises and the like, and the information processing method provided by the embodiment of the application can be applied to the scene.
At present, people often adopt a method of registering one by one, so that the efficiency is low and the time cost is high. And it is difficult to acquire information of other persons who are in contact with it from information of one person.
With the information processing method provided by the embodiment of the application, when the person information is input, the image including the person to be input is obtained, then the position of each person is determined on the image, and the position of each person is added with a label, for example, the labels ① - ⑦ correspond to different persons respectively.
When there are at least two people as associated people, for example, the people corresponding to ② and ③ in the figure are associated people, that is, there is an association relationship (for example, division length and sublevel length, division length, secretary, etc.), in one possible implementation, the attributes of their associated people, that is, the attribute of tag ③ 1 is added to tag ③ 0 at the same time and the attribute of tag ② is added to tag ③ at the same time, when the contents of tag ② and tag ③ are the same, the tags of the people and their associated people are associated with each other, so that the tags of the people and their associated people are read at the same time, that is, tag ② and tag ③ are associated with each other, and the attribute of tag ③ is also read while the attribute of tag ② is read.
When information is read, the image with the label added is obtained, the label of the target person is determined in the image with the label added, and then the attribute of the label of the target person is read. When there is an associated person, the tag and attribute associated with the tag of the target person are further determined.
It can be understood that the above scenarios are only some scenarios applicable to the method of the present application, and the method of the present application may also be applied to other scenarios for information input, which is not described in detail herein.
The embodiment of the device is as follows:
based on the information processing method provided by the above embodiment, an embodiment of the present application further provides an information processing apparatus, which is specifically described below with reference to the accompanying drawings.
Referring to fig. 6, this figure is a schematic diagram of an information processing apparatus according to an embodiment of the present application.
The device includes: a first acquisition unit 601, an addition unit 602, and an input unit 603.
The first acquiring unit 601 is configured to acquire an image including at least two objects.
The first acquisition unit 601 can acquire images including at least two subjects under different photographing conditions. Wherein the shooting condition at least comprises one of the following items:
shooting angle, shooting illumination and shooting distance.
The adding unit 602 is configured to determine a position of each object in the image, and add a label to the position of each object, where the label includes an attribute of the object corresponding to the label.
Optionally, the adding unit 602 is further configured to add, when an associated object exists in the object, an attribute of the associated object of the object to the tag of the object.
Optionally, the adding unit 602 is further configured to, when an associated object exists in the object, set the tag of the object to be associated with the tag of the associated object, so that the tag of the object and the tag of the associated object are read simultaneously.
Wherein the description comprises at least one of text, pictures, audio and video.
The input unit 603 is used for inputting the image to which the label is added.
By using the information processing device provided by the application, batch input of information can be realized, the time overhead of information input is reduced, and in addition, the relation between the state of the object and the object is reflected by using the image, so that the target object to be read can be determined more efficiently and quickly.
Referring to fig. 7, the figure is a schematic view of another information processing apparatus provided in the embodiment of the present application.
The device includes: a second acquisition unit 701, a determination unit 702, and a reading unit 703.
The second acquiring unit 701 acquires an image to which a label is added, the label being added at a position of each object, the label including an attribute of the object corresponding to the label.
The determination unit 702 determines the label of the target object in the labeled image.
The reading unit 703 reads the attribute of the target object included in the tag of the target object.
Optionally, the determining unit 702 is further configured to determine, when an associated object exists in the target object, a tag of the associated object associated with the tag of the target object, and at this time, the reading unit 703 is further configured to read an attribute of the associated object.
By using the information processing device provided by the embodiment of the application, because the attribute of the target object is read according to the tag of the target object when the data is read, the reading of the attribute of an additional object can be avoided, the time overhead during the reading is reduced, the tedious operation of inputting information again according to the accumulated reading condition is also avoided, the time overhead of information input is relatively further reduced, and the processing efficiency is improved.
Further, the information processing device comprises a processor and a memory, wherein the first acquiring unit, the adding unit, the inputting unit, the second acquiring unit, the determining unit, the reading unit and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more, and the information processing is realized by adjusting the kernel parameters.
An embodiment of the present invention provides a computer-readable storage medium on which a program is stored, which, when executed by a processor, implements the above-described information processing method.
The embodiment of the application provides a processor, wherein the processor is used for running a program, and the information processing method is executed when the program runs.
The embodiment of the application also provides electronic equipment, which is specifically described below with reference to the accompanying drawings.
Referring to fig. 8, the figure is a schematic view of an electronic device provided in an embodiment of the present application.
The electronic device 80 includes at least one processor 801, and at least one memory 802 coupled to the processor 801, a bus 803.
The processor 801 and the memory 802 complete mutual communication through the bus 803, and the processor 801 is configured to call a program instruction in the memory 802 to execute the above-mentioned information entry method and/or information reading method.
The electronic device in the present application may be a server, a PC, a PAD, a mobile phone, and the like, and the embodiment is not limited in detail herein.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device:
acquiring an image comprising at least two objects;
determining the position of each object in the image, and adding a label to the position of each object, wherein the label comprises the attribute of the object corresponding to the label;
when the object has an associated object, adding the attribute of the associated object to the tag of the object,
or, setting the tag of the object to be associated with the tag of the associated object, so that the tag of the object and the tag of the associated object are read simultaneously;
and inputting the image added with the label.
Optionally, the acquiring an image including at least two objects specifically includes:
acquiring images including at least two objects under different shooting conditions, wherein the shooting conditions at least include one of the following items:
shooting angle, shooting illumination and shooting distance.
Optionally, the description includes at least one of:
text, pictures, audio, and video.
Further, it may also be adapted to perform a procedure for initializing the following method steps:
acquiring an image added with a label, wherein the label is added at the position of each object, and the label comprises the attribute of the object corresponding to the label;
determining a label of a target object in the image after the label is added;
reading the attribute included in the tag of the target object;
when the target object has the associated object, determining the tag of the associated object associated with the tag of the target object, and reading the attribute of the associated object.
Optionally, the acquiring the image to which the label is added specifically includes:
acquiring images including all the objects under different shooting conditions, wherein the shooting conditions at least include one of the following items:
shooting angle, shooting illumination and shooting distance.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a device includes one or more processors (CPUs), memory, and a bus. The device may also include input/output interfaces, network interfaces, and the like.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip. The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, it is relatively simple to describe, and reference may be made to some descriptions of the method embodiment for relevant points. The above-described apparatus embodiments are merely illustrative, and the units and modules described as separate components may or may not be physically separate. In addition, some or all of the units and modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The foregoing is directed to embodiments of the present application and it is noted that numerous modifications and adaptations may be made by those skilled in the art without departing from the principles of the present application and are intended to be within the scope of the present application.
Claims (10)
1. A method for processing information, comprising:
acquiring an image comprising at least two objects;
determining the position of each object in the image, and adding a label to the position of each object, wherein the label comprises the attribute of the object corresponding to the label;
when the object has an associated object, adding the attribute of the associated object to the tag of the object,
or, setting the tag of the object to be associated with the tag of the associated object, so that the tag of the object and the tag of the associated object are read simultaneously;
and inputting the image added with the label.
2. The method according to claim 1, wherein the acquiring an image comprising at least two objects comprises:
acquiring images including at least two objects under different shooting conditions, wherein the shooting conditions at least include one of the following items:
shooting angle, shooting illumination and shooting distance.
3. The method of claim 1 or 2, wherein the description includes at least one of:
text, pictures, audio, and video.
4. A method for processing information, comprising:
acquiring an image added with a label, wherein the label is added at the position of each object, and the label comprises the attribute of the object corresponding to the label;
determining a label of a target object in the image after the label is added;
and reading the attribute included by the label of the target object.
5. The method of claim 4, wherein when the target object has an associated object, the method further comprises: and determining the label of the associated object associated with the label of the target object, and reading the attribute of the associated object.
6. An apparatus for processing information, comprising: the device comprises a first acquisition unit, an adding unit and an entry unit;
the first acquisition unit is used for acquiring an image comprising at least two objects;
the adding unit is used for determining the position of each object in the image and adding a label to the position of each object, wherein the label comprises the attribute of the object corresponding to the label;
the adding unit is further used for adding the attribute of the associated object to the label of the object when the associated object exists in the object,
or, setting the tag of the object to be associated with the tag of the associated object, so that the tag of the object and the tag of the associated object are read simultaneously;
the input unit is used for inputting the image added with the label.
7. The apparatus according to claim 6, wherein the first acquiring unit is configured to acquire an image including at least two objects, and specifically includes:
the first acquisition unit is configured to acquire images including at least two objects under different shooting conditions, where the shooting conditions include at least one of:
shooting angle, shooting illumination and shooting distance.
8. An apparatus for processing information, comprising: a second acquisition unit, a determination unit and a reading unit;
the second acquiring unit is used for acquiring an image added with a label, wherein the label is added at the position of each object, and the label comprises the attribute of the object corresponding to the label;
the determining unit is used for determining the label of the target object in the image after the label is added;
the reading unit is used for reading the attribute of the target object included in the label of the target object;
the reading unit is further configured to determine a tag of the associated object associated with the tag of the target object and read an attribute of the associated object when the associated object exists in the target object.
9. A computer-readable storage medium, characterized in that a computer program is stored thereon, which program, when being executed by a processor, implements the method of processing information according to any one of claims 1-3 and/or the method of processing information according to any one of claims 4-5.
10. An electronic device, wherein the electronic device is configured to run a program, and wherein the program is configured to execute the information processing method according to any one of claims 1 to 3 and/or the information processing method according to any one of claims 4 to 5 when running.
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| CN201911222378.5A CN110929076A (en) | 2019-12-03 | 2019-12-03 | Information processing method and device |
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Application publication date: 20200327 |