CN111611449A - Information encoding method and device, electronic equipment and computer readable storage medium - Google Patents

Information encoding method and device, electronic equipment and computer readable storage medium Download PDF

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CN111611449A
CN111611449A CN202010383444.3A CN202010383444A CN111611449A CN 111611449 A CN111611449 A CN 111611449A CN 202010383444 A CN202010383444 A CN 202010383444A CN 111611449 A CN111611449 A CN 111611449A
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target
information
determining
feature
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CN111611449B (en
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胡滨
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Beijing Baidu Netcom Science and Technology Co Ltd
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Beijing Baidu Netcom Science and Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • G06F16/90335Query processing
    • G06F16/90344Query processing by using string matching techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/10Text processing
    • G06F40/12Use of codes for handling textual entities
    • G06F40/126Character encoding

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Abstract

The application discloses an information encoding method, an information encoding device, electronic equipment and a computer readable storage medium, and relates to the field of big data processing. The specific implementation scheme is as follows: the method comprises the steps of obtaining target features of a first object, wherein the target features comprise features of the first object under multiple dimensions, respectively determining target values corresponding to the features of the first object under each dimension according to a preset mapping relation between values in an arithmetic progression under each dimension and different features under each dimension to obtain multiple target values, and determining coding information of the target features according to the multiple target values. According to the scheme in the application, the target characteristics of the coded object can be coded by means of the target numerical values under multiple dimensions, so that coding information is enriched, and the characteristics of the coded object are effectively reflected.

Description

Information encoding method and device, electronic equipment and computer readable storage medium
Technical Field
The application relates to the technical field of computers, in particular to the field of big data processing.
Background
Information is encoded to facilitate storage, retrieval, and use of the information. At present, when encoding the characteristic information of some objects, such as people, animals and the like, a character encoding mode is often adopted, and the characteristic information of the objects is directly mapped into a character sequence. Thus, the conventional information encoding method is relatively simple and cannot effectively reflect the characteristics of the encoding target.
Disclosure of Invention
The embodiment of the application provides an information encoding method, an information encoding device, electronic equipment and a computer readable storage medium, and aims to solve the problem that the existing information encoding mode cannot effectively reflect the characteristics of an encoding object.
In order to solve the technical problem, the present application is implemented as follows:
in a first aspect, an embodiment of the present application provides an information encoding method, including:
acquiring a target feature of a first object; wherein the target feature comprises a feature in multiple dimensions of the first object;
respectively determining a target numerical value corresponding to the feature of the first object in each dimension according to a preset mapping relation between the numerical value in the arithmetic progression in each dimension and different features in each dimension to obtain a plurality of target numerical values;
and determining the coding information of the target characteristics according to the plurality of target numerical values.
Therefore, the target characteristics of the encoding object can be encoded by means of a plurality of target numerical values under a plurality of dimensions, so that encoding information is enriched, and the characteristics of the encoding object are effectively reflected.
In a second aspect, an embodiment of the present application provides an information encoding apparatus, including:
an acquisition module for acquiring a target feature of a first object; wherein the target feature comprises a feature in multiple dimensions of the first object;
the first determining module is used for respectively determining a target value corresponding to the feature of the first object in each dimension according to a preset mapping relation between the value in the arithmetic progression in each dimension and different features in each dimension to obtain a plurality of target values;
and the second determining module is used for determining the coding information of the target characteristic according to the plurality of target numerical values.
In a third aspect, an embodiment of the present application further provides an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the information encoding method as described above.
In a fourth aspect, the present application further provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the information encoding method as described above.
One embodiment in the above application has the following advantages or benefits: the target characteristics of the coded object can be coded by means of the target numerical values under multiple dimensions, so that coding information is enriched, and the characteristics of the coded object are effectively reflected. The technical means of obtaining the target characteristics of the first object, including the characteristics of the first object in multiple dimensions, respectively determining the target values corresponding to the characteristics of the first object in each dimension according to the preset mapping relationship between the values in the arithmetic progression in each dimension and the different characteristics in each dimension to obtain multiple target values, and determining the coding information of the target characteristics according to the multiple target values, is adopted, so that the technical problem that the characteristics of the coding object cannot be effectively reflected by the existing information coding mode is solved, the coding information is enriched, and the technical effect of the characteristics of the coding object is effectively reflected.
Other effects of the above-described alternative will be described below with reference to specific embodiments.
Drawings
The drawings are included to provide a better understanding of the present solution and are not intended to limit the present application. Wherein:
FIG. 1 is a flow chart of an information encoding method of an embodiment of the present application;
FIG. 2 is a block diagram of an information encoding apparatus for implementing an information encoding method according to an embodiment of the present application;
fig. 3 is a block diagram of an electronic device for implementing an information encoding method according to an embodiment of the present application.
Detailed Description
The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
The terms first, second and the like in the description and in the claims of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. In the description and in the claims "and/or" means at least one of the connected objects.
Referring to fig. 1, fig. 1 is a flowchart of an information encoding method provided in an embodiment of the present application, where the method is applied to an electronic device, and as shown in fig. 1, the method includes the following steps:
step 101: a target feature of the first object is obtained.
In this embodiment, the first object may be selected from a human, an animal (e.g., a wandering animal, a canine, a feline, etc.), and the like. The target feature may comprise a feature in a plurality of dimensions of the first object, i.e. in each of the plurality of dimensions of the first object.
In one embodiment, the first object is taken as an example, and the plurality of dimensions may include at least two of: the time period when the target position is located, the floor when the target position is located, the number of times the target position is passed within a preset time period, the age, the height, the sex and the like. It is understood that, when the first object is an animal other than a human, the corresponding multiple dimensions may include a time period when the first object is at the target position, a number of times the first object passes through the target position within a preset time period, and the like, and may be preset based on actual requirements, which is not limited herein.
Step 102: and respectively determining a target value corresponding to the feature of the first object in each dimension according to a preset mapping relation between the value in the arithmetic progression in each dimension and different features in each dimension to obtain a plurality of target values.
In this embodiment, in order to implement an encoding process, a plurality of dimensions may be preset based on an actual requirement (for example, a feature of an object to be retrieved), then, for each dimension, an arithmetic progression is constructed based on feature content in the dimension, and a mapping relationship between a value in the arithmetic progression and different features is preset, so that a target value corresponding to the feature in the corresponding dimension is determined according to the mapping relationship in the following.
Step 103: and determining the coding information of the target characteristics according to the plurality of target numerical values.
In this embodiment, when the coding information of the target feature is determined according to the plurality of target values, the plurality of target values may be spliced to obtain the coding information of the target feature, or the plurality of target values may be operated based on a preset algorithm (for example, multiplication, weighted averaging, and the like) to obtain the coding information of the target feature, which is not limited herein.
According to the information coding method, the target characteristics of the first object can be obtained, the target characteristics comprise characteristics of the first object under multiple dimensions, the target values corresponding to the characteristics of the first object under each dimension are respectively determined according to the preset mapping relation between the values in the arithmetic progression under each dimension and different characteristics under each dimension, multiple target values are obtained, and the coding information of the target characteristics is determined according to the multiple target values. Therefore, the target characteristics of the encoding object can be encoded by means of the target numerical values under multiple dimensions, so that encoding information is enriched, and the characteristics of the encoding object are effectively reflected.
In the embodiment of the application, the prime number only has two positive factors, namely 1 and the prime number, and is easy to identify and search, so the arithmetic progression is preferentially the arithmetic progression of the prime number, so that the coding information of the coding object is identified and searched, and the coding performance is ensured.
Optionally, in order to reduce the storage space and support the retrieval of partial information, the process of determining the coding information of the target feature in step 103 may include: and determining the product of the plurality of target values as the coding value of the target characteristic. Therefore, in the subsequent retrieval and analysis process, the multidimensional characteristic information of the corresponding object can be obtained by factorization of the coded value.
Optionally, after step 103, the method further includes:
comparing whether the coding information of the target features is consistent with preset retrieval information or not;
under the condition that the coding information of the target feature is consistent with the preset retrieval information, determining that the first object is a target object meeting a preset condition;
or, in the case that the encoded information of the target feature is inconsistent with the preset retrieval information, determining that the first object is not a target object satisfying a preset condition.
Wherein the preset retrieval information can be preset based on actual requirements. Thus, the target object can be retrieved, and the required information can be obtained.
It can be understood that if the encoded information of the target feature is a value obtained by multiplying a plurality of target values, the corresponding preset retrieval information is a preset retrieval value. In this way, the target object can be retrieved by means of a comparison between the two values, thereby improving the retrieval efficiency.
In one embodiment, taking the first object as an example, the corresponding multiple dimensions include a time period when the first object is located in the mall S, an age, a floor when the first object is located in the mall S, and a height.
For dimension 1 (time period when in mall S), the corresponding arithmetic progression is [1,5,9,13,17,21,25,29,33,37,41,45], which means that 24 hours in a day is split into 12 features, each feature represents 2 hours, wherein the corresponding mapping relationship is: "1" corresponds to 0 to 2 points, "5" corresponds to 2 to 4 points, "9" corresponds to 4 to 6 points, … …, and "45" corresponds to 22 to 24 points.
For dimension 2 (age), the corresponding arithmetic progression is [2,6,10,14,18,22,26,30,34,38,42,46], representing a split of ages 0 to 120 into 12 features, each feature representing 10 years, where the corresponding mapping relationship is: "2" corresponds to the ages of 0 to 10, "6" means the ages of 10 to 20, "10" corresponds to the ages of 20 to 30, … …, "46" corresponds to the ages of 110 to 120.
For dimension 3 (the floor where the mall S (including 12 floors, for example)), the corresponding arithmetic progression is [3,7,11,15,19,23,27,31,35,39,43,47], which indicates splitting the floor 12 into 12 features, each feature representing 1 floor, where the corresponding mapping relationship is: "3" corresponds to 1 layer, "7" corresponds to 2 layers, "11" corresponds to 3 layers, … …, "47" corresponds to 12 layers.
For dimension 4 (height), the corresponding arithmetic progression is [4,8,12,16,20,24,28,32,36,40,44,48], which means splitting height 1.4 to 2 meters into 12 features, each feature representing 0.5 meter, wherein the corresponding mapping relationship is: "4" corresponds to 1.40 to 1.45 meters, "8" corresponds to 1.45 to 1.5 meters, … …, "48" corresponds to 1.95 to 2 meters.
Based on the above, the value obtained from dimension 1 × dimension 2 × dimension 3 × dimension 4 can be determined as the arithmetic series encoding result.
Example 1, assume that the target characteristics of user a are: when the user goes to store S at 8 to 9, the age of 25, and goes to the 3 rd floor of store S, the height is 1.64 m, then the target feature of user a corresponds to the code value: 17 × 10 × 11 × 16, i.e., user a corresponds to the code value 29920.
Example 2, assume that the target characteristics of user B are: when going to store S at 8 to 9, age 35, and going to floors 3 and 4 of store S, height 1.71 m, the target feature of user B has the corresponding code value: 17 × 14 × 11 × 15 × 28, i.e., user a corresponds to the code value 1099560.
It should be noted that the above example of the arithmetic progression is only an illustration, and the embodiment of the present application does not limit this, and may continuously adjust and optimize based on actual requirements to ensure the performance of the final coding result. In practice, the difference array such as prime number is preferred.
Referring to fig. 2, fig. 2 is a schematic structural diagram of an information encoding device according to an embodiment of the present application, and as shown in fig. 2, the information encoding device 20 includes:
an obtaining module 21, configured to obtain a target feature of a first object; wherein the target feature comprises a feature in multiple dimensions of the first object;
the first determining module 22 is configured to determine, according to a preset mapping relationship between a numerical value in an arithmetic progression in each dimension and different features in each dimension, a target numerical value corresponding to a feature in each dimension of the first object, respectively, to obtain a plurality of target numerical values;
a second determining module 23, configured to determine, according to the plurality of target values, the encoding information of the target feature.
Optionally, the second determining module 23 is specifically configured to: and determining the product of the plurality of target numerical values as the code value of the target characteristic.
Optionally, the apparatus further comprises:
the comparison module is used for comparing whether the coding information of the target characteristics is consistent with preset retrieval information or not;
a third determining module, configured to determine that the first object is a target object that meets a preset condition when the encoded value of the target feature is consistent with the preset retrieval information; or, in the case that the code value of the target feature is inconsistent with the preset retrieval information, determining that the first object is not a target object satisfying a preset condition.
Optionally, the arithmetic difference number sequence is a prime arithmetic difference number sequence.
Optionally, the first object is a person, and the plurality of dimensions includes at least two of:
the time period when the robot is at the target position, the floor when the robot is at the target position, the number of times of passing the target position in a preset time period, the age, the height and the sex.
It can be understood that the information encoding apparatus 20 according to the embodiment of the present application can implement the processes implemented in the method embodiment shown in fig. 1 and achieve the same beneficial effects, and for avoiding repetition, the details are not repeated here.
According to an embodiment of the present application, an electronic device and a readable storage medium are also provided.
Fig. 3 is a block diagram of an electronic device for implementing the information encoding method according to the embodiment of the present application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 3, the electronic apparatus includes: one or more processors 301, memory 302, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display graphical information of a GUI on an external input/output apparatus (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each device providing portions of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system). In fig. 3, one processor 301 is taken as an example.
Memory 302 is a non-transitory computer readable storage medium as provided herein. The memory stores instructions executable by at least one processor to cause the at least one processor to perform the information encoding method provided herein. The non-transitory computer-readable storage medium of the present application stores computer instructions for causing a computer to perform the information encoding method provided herein.
The memory 302 is a non-transitory computer readable storage medium, and can be used for storing non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules (for example, the obtaining module 21, the first determining module 22, and the second determining module 23 shown in fig. 2) corresponding to the information encoding method in the embodiment of the present application. The processor 301 executes various functional applications of the server and data processing by running non-transitory software programs, instructions, and modules stored in the memory 302, that is, implements the information encoding method in the above-described method embodiments.
The memory 302 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by use of the electronic device, and the like. Further, the memory 302 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 302 may optionally include memory located remotely from the processor 301, which may be connected to the electronic device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device of the information encoding method may further include: an input device 303 and an output device 304. The processor 301, the memory 302, the input device 303 and the output device 304 may be connected by a bus or other means, and fig. 3 illustrates the connection by a bus as an example.
The input device 303 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic equipment of the information encoding method, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointing stick, one or more mouse buttons, a track ball, a joystick, or other input devices. The output devices 304 may include a display device, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibrating motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
According to the technical scheme of the embodiment of the application, the target characteristics of the coded object can be coded by means of the target numerical values under multiple dimensions, so that the coding information is enriched, and the characteristics of the coded object are effectively reflected.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present application can be achieved, and the present invention is not limited herein.
The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims (12)

1. An information encoding method, comprising:
acquiring a target feature of a first object; wherein the target feature comprises a feature in multiple dimensions of the first object;
respectively determining a target numerical value corresponding to the feature of the first object in each dimension according to a preset mapping relation between the numerical value in the arithmetic progression in each dimension and different features in each dimension to obtain a plurality of target numerical values;
and determining the coding information of the target characteristics according to the plurality of target numerical values.
2. The method of claim 1, wherein determining the encoded information of the target feature based on the plurality of target values comprises:
and determining the product of the plurality of target numerical values as the code value of the target characteristic.
3. The method of claim 1, wherein after determining the encoded information of the target feature based on the plurality of target values, the method further comprises:
comparing whether the coding information of the target features is consistent with preset retrieval information or not;
under the condition that the coding information of the target feature is consistent with the preset retrieval information, determining that the first object is a target object meeting a preset condition;
or, in the case that the encoded information of the target feature is inconsistent with the preset retrieval information, determining that the first object is not a target object satisfying a preset condition.
4. A method according to any one of claims 1 to 3, wherein the arithmetic progression is a prime arithmetic progression.
5. The method of any one of claims 1 to 3, wherein the first object is a human, and the plurality of dimensions include at least two of:
the time period when the robot is at the target position, the floor when the robot is at the target position, the number of times of passing the target position in a preset time period, the age, the height and the sex.
6. An information encoding apparatus, comprising:
an acquisition module for acquiring a target feature of a first object; wherein the target feature comprises a feature in multiple dimensions of the first object;
the first determining module is used for respectively determining a target value corresponding to the feature of the first object in each dimension according to a preset mapping relation between the value in the arithmetic progression in each dimension and different features in each dimension to obtain a plurality of target values;
and the second determining module is used for determining the coding information of the target characteristic according to the plurality of target numerical values.
7. The apparatus of claim 6,
the second determining module is specifically configured to: and determining the product of the plurality of target numerical values as the code value of the target characteristic.
8. The apparatus of claim 7, further comprising:
the comparison module is used for comparing whether the coding information of the target characteristics is consistent with preset retrieval information or not;
a third determining module, configured to determine that the first object is a target object that meets a preset condition when the encoded information of the target feature is consistent with the preset retrieval information; or, in the case that the encoded information of the target feature is inconsistent with the preset retrieval information, determining that the first object is not a target object satisfying a preset condition.
9. The apparatus of any one of claims 6 to 8, wherein the arithmetic progression is a prime arithmetic progression.
10. The apparatus of any one of claims 6 to 8, wherein the first object is a person, and the plurality of dimensions include at least two of:
the time period when the robot is at the target position, the floor when the robot is at the target position, the number of times of passing the target position in a preset time period, the age, the height and the sex.
11. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.
12. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-5.
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CN112269789A (en) * 2020-11-16 2021-01-26 北京百度网讯科技有限公司 Method and device for storing data and method and device for reading data
CN112573077A (en) * 2020-11-26 2021-03-30 北京百度网讯科技有限公司 Material storage system, positioning method and device, electronic equipment and storage medium
CN112600946A (en) * 2020-11-30 2021-04-02 青岛海尔科技有限公司 Method and device for determining equipment code, storage medium and electronic device
CN113190749A (en) * 2021-05-06 2021-07-30 北京百度网讯科技有限公司 Method and device for determining object attribute, electronic equipment and medium
CN114528444A (en) * 2022-02-25 2022-05-24 北京百度网讯科技有限公司 Graph data processing method and device, electronic equipment and storage medium

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