CN107368550B

CN107368550B - Information acquisition method, device, medium, electronic device, server and system

Info

Publication number: CN107368550B
Application number: CN201710526359.6A
Authority: CN
Inventors: 梁昆
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date: 2017-06-30
Filing date: 2017-06-30
Publication date: 2019-12-31
Anticipated expiration: 2037-06-30
Also published as: CN107368550A

Abstract

The invention discloses an information acquisition method, an information acquisition device, an information acquisition medium, electronic equipment, a server and an information acquisition system. The information acquisition method comprises the following steps: the method comprises the steps of extracting parameter information of a target object in a target image, pushing the parameter information of the target object to a server, receiving information of an associated object fed back from the server, wherein the associated object is associated with the target object, the information of the associated object comprises pre-stored information and pre-stored links of the associated object, generating a target link, the target link is the pre-stored link of the associated object associated with the target object, the target link is used for searching for the information about the target object, and finally displaying the target link, wherein the target link is displayed on the target image, so that a user can search the parameter information of the target object through the target link, the user can conveniently and quickly obtain the relevant information of the target object, and the flexibility and convenience of information acquisition are improved.

Description

Information acquisition method, device, medium, electronic device, server and system

Technical Field

The present invention relates to the field of communications technologies, and in particular, to the field of mobile device technologies, and in particular, to an information acquisition method, apparatus, medium, electronic device, server, and system.

Background

With the development of terminal technology and network technology, more and more users are used to find information or articles required by the users through network links by using electronic devices to meet daily needs. Sometimes, a user may inadvertently touch a target object of interest, for example, the target object is an item, and the user may want to know the related information of the target object but not know the name, brand, material, or style of the target object, which results in the user not finding the target object. How to obtain the relevant information of the target object conveniently and quickly has received more and more general attention in the industry.

Disclosure of Invention

Embodiments of the present invention provide an information acquisition method, apparatus, medium, electronic device, server, and system, which can conveniently and quickly acquire relevant information of a target object, and improve flexibility and convenience of information acquisition.

The embodiment of the invention provides an information acquisition method, which is applied to electronic equipment and comprises the following steps:

extracting parameter information of a target object in a target image;

pushing the parameter information of the target object to a server;

receiving information of an associated object fed back from the server, wherein the associated object is associated with the target object, and the information of the associated object comprises pre-stored information and pre-stored links of the associated object;

generating a target link according to the information of the associated object, wherein the target link is a prestored link of the associated object associated with the target object, and the target link is used for searching the information about the target object;

displaying the target link, wherein the target link is displayed on the target image.

The embodiment of the invention also provides an information acquisition method, which is applied to the server and comprises the following steps:

acquiring parameter information of a target object in a target image pushed by electronic equipment;

similarity matching is carried out on the parameter information of the target object and the sample information in the server;

determining a sample with the similarity between the sample information and the parameter information of the target object reaching a preset threshold value as a related object;

and feeding back information of the associated object associated with the target object to the electronic equipment.

An embodiment of the present invention further provides an information acquiring apparatus, where the apparatus includes:

the extraction module is used for extracting the parameter information of the target object in the target image;

the pushing module is used for pushing the parameter information of the target object in the target image to a server;

the receiving module is used for receiving information of the associated object fed back from the server, wherein the associated object is associated with the target object, and the information of the associated object comprises prestored information and prestored links of the associated object;

a generating module, configured to generate a target link according to the information of the associated object, where the target link is a pre-stored link of the associated object associated with the target object, and the target link is used to search for information about the target object;

and the display module is used for displaying the target link, wherein the target link is displayed on the target image.

the second acquisition module is used for acquiring parameter information of a target object in a target image pushed by the electronic equipment;

the matching module is used for carrying out similarity matching on the parameter information of the target object and the sample information in the server;

the determining module is used for determining the sample with the similarity of the sample information and the parameter information of the target object reaching a preset threshold value as a related object;

and the feedback module is used for feeding back the information of the associated object associated with the target object to the electronic equipment.

The embodiment of the invention also provides a storage medium, wherein a computer program is stored on the storage medium, and the computer program is called by a processor to execute the information acquisition method in any embodiment of the invention.

The embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program that is stored in the memory and can be run on the processor, where the processor invokes the computer program stored in the memory to execute the information acquisition method according to any embodiment of the present invention.

The embodiment of the invention also provides electronic equipment, which comprises a display screen, a camera, a memory and a processor, wherein the camera is used for acquiring a target image; the processor calls a computer program stored in the memory and is used for extracting the parameter information of the target object in the target image and pushing the parameter information of the target object to a server; the processor receives information of an associated object fed back from the server, wherein the associated object is associated with the target object, the information of the associated object comprises pre-stored information and pre-stored links of the associated object, and a target link is generated according to the information of the associated object, wherein the target link is the pre-stored link of the associated object associated with the target object, and the target link is used for searching for the information about the target object; the display screen is used for displaying the target link, wherein the target link is displayed on the target image.

The embodiment of the present invention further provides a server, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor invokes the computer program stored in the memory to execute the following steps:

The embodiment of the invention also provides an information acquisition system, which comprises the electronic equipment and the server in any embodiment of the invention.

The embodiment of the invention extracts the parameter information of the target object in the target image, pushes the parameter information of the target object in the target image to the server, receives the information of the associated object fed back from the server, wherein the associated object is associated with the target object, the information of the associated object comprises pre-stored information of the associated object and pre-stored links, a target link is generated, wherein the target link is a pre-stored link of the associated object associated with the target object, the target link is used to search for information about the target object, and finally the target link is displayed, the target link is displayed on the target image, so that a user can search the information of the target object through the target link, the user can acquire the related information of the target object more conveniently and quickly, and the flexibility and the convenience of information acquisition are improved.

Drawings

The technical solution and other advantages of the present invention will become apparent from the following detailed description of specific embodiments of the present invention, which is to be read in connection with the accompanying drawings.

Fig. 1 is a schematic view of communication between an electronic device and a server according to an embodiment of the present invention.

Fig. 2 is a schematic flowchart of an information obtaining method according to an embodiment of the present invention.

Fig. 3 is another schematic flow chart of an information obtaining method according to an embodiment of the present invention.

Fig. 4 is a schematic view of a first application scenario of an information acquisition method according to an embodiment of the present invention.

Fig. 5 is a schematic view of a second application scenario of the information obtaining method according to the embodiment of the present invention.

Fig. 6 is a schematic view of a third application scenario of an information obtaining method according to an embodiment of the present invention.

Fig. 7 is a schematic view of a fourth application scenario of an information obtaining method according to an embodiment of the present invention.

Fig. 8 is a schematic view of a fifth application scenario of an information obtaining method according to an embodiment of the present invention.

Fig. 9 is a schematic flowchart of an information obtaining method according to an embodiment of the present invention.

Fig. 10 is a schematic diagram of interaction between an electronic device and a server according to an embodiment of the present invention.

Fig. 11 is a schematic structural diagram of an information acquisition apparatus according to an embodiment of the present invention.

Fig. 12 is another schematic structural diagram of an information acquisition apparatus according to an embodiment of the present invention.

Fig. 13 is a schematic structural diagram of an information acquisition apparatus according to an embodiment of the present invention.

Fig. 14 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Fig. 15 is another schematic structural diagram of an electronic device according to an embodiment of the present invention.

Fig. 16 is a schematic structural diagram of a server according to an embodiment of the present invention.

Detailed Description

The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures. 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 invention.

The terms "first" and "second", etc. in the present invention are used for distinguishing different objects, not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or modules is not limited to the listed steps or modules but may alternatively include other steps or modules not listed or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

The execution main body of the information acquisition method provided by the embodiment of the invention may be an information acquisition device provided by the embodiment of the invention, or an electronic device (such as a palm computer, a tablet computer, a smart phone, etc.) integrated with the information acquisition device, and the information acquisition device may be implemented in a hardware or software manner.

Referring to fig. 1, fig. 1 is a schematic view of communication between an electronic device and a server according to an embodiment of the present invention. Wherein the electronic device may communicate with the server over a wireless communication network. The server may communicate with multiple electronic devices simultaneously.

Referring to fig. 2, fig. 2 is a schematic flow chart of an information obtaining method according to an embodiment of the present invention. The method is applied to the electronic equipment and comprises the following steps:

step S101, extracting parameter information of a target object in a target image.

It can be understood that the content displayed by the target image may be divided according to a preset rule to form a target object in the target image, and then parameter information of the target object is extracted from the target object of the target image. Wherein the preset rule may include at least one of a species, a material, a function, a name, a color, and a shape.

For example, after the electronic device acquires the target image, the electronic device analyzes the target image according to a preset rule to extract a graphic feature in the target image, and determines the target object in the target image according to the graphic feature. Wherein the graphic features may include at least one of pixels, textual description, trademark, color, shape, size. The electronic device converts the acquired graphic features into corresponding text feature information, for example, the text feature information is an article name. The parameter information of the target object may include the image feature information and the text feature information.

It is to be understood that the object recorded by the object image may be any object recorded by an image or picture, such as various kinds of objects of buildings, scenes, plants, animals, living goods, and the like. Since different objects are displayed in different forms or with different characteristics, in order to accurately distinguish the objects recorded on the target image, it is necessary to extract parameter information of the target object in the target image.

And step S102, pushing the parameter information of the target object to a server.

It can be understood that after the electronic device determines the target object according to the graphic features in the target image, the parameter information of the target object is pushed to the server. The parameter information of the target object can comprise graphic characteristic information and character characteristic information, the server can be a cloud server, and the electronic equipment is connected with the server through a network. For example, the electronic device pushes the acquired graphic feature information and text feature information of the target object to a cloud server.

Step S103, receiving the information of the associated object fed back from the server, wherein the associated object is associated with the target object, and the information of the associated object comprises pre-stored information and pre-stored links of the associated object.

It can be appreciated that how to accurately resolve the target object depends on the analysis of the big data in the server. And the electronic equipment accurately distinguishes the sub-target objects in the target image according to the information fed back by the cloud server.

Step S104, generating a target link according to the information of the associated object, wherein the target link is a pre-stored link of the associated object associated with the target object, and the target link is used for searching the information about the target object.

It can be understood that, through the information of the associated object fed back by the cloud server, the preset link in the associated object is associated with the target object to generate a target link corresponding to the target object in the target image. The target link is a network link established by depending on the internet. The process of generating the target link needs to rely on the internet and a large database in a cloud server.

In some embodiments, the associated information type preferences of the target link may be set according to user preferences, such as shopping class information, encyclopedia class information, and the like.

Step S105, displaying the target link, wherein the target link is displayed on the target image.

It is understood that after the target link is generated, the target link is displayed on the target image in order to facilitate the user to acquire the related information of the target object on the target image.

The user may search for information related to the target object by clicking on the target link.

For example, when the target object is a building or a scenic spot, the related information of the target object may be encyclopedia information of the target object, position navigation information of the target object, or travel information of the target object.

For example, when the target object is a plant or an animal, the related information of the target object may be encyclopedic information of the target object.

For example, when the target object is a living good, the related information of the target object may be encyclopedia information of the target object, shopping information of the living good, or application information such as a production method and a use method of the living good.

In some embodiments, the generating a target link according to the information of the associated object further includes:

acquiring search preference of a user for information types preset by the target object;

and selecting a preset link matched with the information type from the information of the associated object according to the information type set in the search preference so as to generate the target link.

In some embodiments, before the extracting parameter information of the target object in the target image, the method further includes:

acquiring the target image, specifically:

acquiring the target image through an image acquisition element of the electronic device; or

The target image is selected from images pre-stored in a memory of the electronic device.

In some embodiments, the target object comprises a plurality of sub-target objects, wherein the generating the target link comprises: generating a plurality of target links corresponding to the plurality of sub-target objects; the displaying the target link includes: and displaying the target links on the corresponding sub-target objects respectively.

In some embodiments, said displaying said target link comprises: the target link is named with the name of the target object, and the target link named with the name of the target object is displayed on the target image.

All the above-mentioned optional technical solutions can be combined arbitrarily to form the optional embodiments of the present invention, and are not described herein again.

Referring to fig. 3 and 8, fig. 3 is another schematic flow chart of an information obtaining method according to an embodiment of the present invention, and fig. 4 to 8 are schematic diagrams of first to fifth application scenarios of an information obtaining method according to an embodiment of the present invention. The method is applied to the electronic equipment and comprises the following steps:

in step S201, a target image is acquired.

It can be understood that, when a user needs to obtain information related to a certain target object, a target image including the target object needs to be obtained first.

It can be understood that there are various ways to obtain the target image, and the target image may be obtained by taking a picture, by calling a pre-stored picture, by drawing a picture by software, or by synthesizing the target image by using a plurality of pictures.

In some embodiments, the target image may be acquired by an image acquisition element of the electronic device.

For example, when the user accidentally touches a target object of interest, the user captures the target image containing the target object through an image capturing element of the electronic device.

For example, when a user sees a black coat worn by a person in a mall and looks good, the user knows the relevant information of the black coat, and the user shoots a whole body photograph aiming at the person wearing the black coat through a mobile phone to obtain a target image.

For example, as shown in fig. 4, a user takes a target image through a camera of a mobile phone, and the target image includes a phone, a pencil, a book, and a notebook.

In some embodiments, the target image may be selected from images pre-stored in a memory of the electronic device to obtain the target image.

For example, an image including the target object may be selected from a mobile phone album to obtain the target image.

Step S202, extracting parameter information of the target object in the target image.

For example, after the electronic device acquires the target image, the electronic device analyzes the target image according to a preset rule to determine the target object in the target image. For example, taking fig. 4 as an example, the target object in the target image is determined to be an article.

In some embodiments, the target object includes a plurality of sub-target objects, and the target object in the target image may be divided into the plurality of sub-target objects according to a preset rule.

For example, as shown in fig. 4, the target object is an object, the target object in the target image is divided into 4 sub-target objects in shape, and then the object name of each sub-target object in the target object is extracted, where the object name may include text information such as a model number, a brand name, and a name appearing in each sub-target object on the target image, such as "deli", "hero pencil", "PCT applicant guide", "Spiral notebox".

Step S203, pushing the parameter information of the target object to a server.

It can be understood that after the electronic device determines the target object according to the graphic features in the target image, the parameter information of the target object is pushed to the server. The parameter information of the target object can comprise graphic characteristic information and character characteristic information, the server can be a cloud server, and the electronic equipment is connected with the server through a network. For example, the electronic device pushes the acquired graphic characteristic information and text characteristic information of the target object to a cloud server, a large amount of sample information is stored in the cloud server in advance, and the cloud server screens out a sample set corresponding to the text characteristic information of each sub-target object from a large database according to the text characteristic information, wherein each sample in the sample set comprises specific information of the sample and links associated with the sample. And performing similarity matching on each sample in the sample set and the graphic features of the corresponding sub-target objects on the target image, determining the sample with the similarity reaching a preset threshold in the sample set as a related object when the similarity matching reaches a preset threshold, performing information association on the related object and the sub-target objects, and feeding back the information of the related object to the electronic equipment by the cloud server.

Step S204, receiving the information of the associated object fed back from the server, wherein the associated object is associated with the target object, and the information of the associated object comprises pre-stored information and pre-stored links of the associated object.

Step S205, generating a target link according to the information of the associated object, wherein the target link is a pre-stored link of the associated object associated with the target object, and the target link is used for searching the information about the target object.

It is understood that the search preference of the information type associated with the target link may be preset by the user according to the user's preference, such as shopping information, encyclopedia information, etc. Or the electronic equipment collects the information type of the historical search information of the user, and the learning algorithm is utilized to analyze the collected data so as to obtain the search preference of the user and automatically set the search preference.

It can be understood that the information of the associated object fed back by the cloud server includes pre-stored information and pre-stored links of the associated object, the preset links may include links of a plurality of different information types, for example, for a certain watch, the corresponding preset links include a shopping link of the watch and an encyclopedic knowledge link of the watch, and then, according to search preferences of the preset information types, the preset links matched with the information types set in the search preferences are selected from the information of the associated object to generate the target links, for example, the search preferences are shopping categories, and then the target links of the watch are generated as shopping links.

In some embodiments, the target object includes a plurality of sub-target objects, and a plurality of target links corresponding to the plurality of sub-target objects may be generated.

It can be understood that after a plurality of sub-target objects in the target object are acquired, a link preset in the associated object may be associated to each sub-target object through information of the associated object fed back by the cloud server, so as to generate a target link corresponding to each sub-target object.

Step S206, displaying the target link, wherein the target link is displayed on the target image.

In some embodiments, the plurality of target links may be displayed on the plurality of sub-target objects corresponding thereto, respectively.

It is understood that, in order to make the target link corresponding to each sub-target object more easily distinguishable, the plurality of target links may be displayed on the plurality of sub-target objects corresponding thereto, respectively.

For example, as shown in fig. 5, the target image includes 4 sub-target objects, "link 1", "link 2", "link 3", and "link 4", and the corresponding sub-target objects, "telephone", "pencil", "book", and "notebook", are displayed.

The user can search for relevant information of the corresponding sub-target object by clicking on the target link.

In some embodiments, the target link may be named with the name of the target object and the target link named with the name of the target object is displayed on the target image.

For example, as shown in fig. 6, the target image includes 4 sub-target objects, "link 1", "link 2", "link 3", and "link 4" are named by the names "telephone", "pencil", "PCT applicant guide", and "note book" of the corresponding sub-target objects, respectively, and the target links "telephone", "pencil", "book", and "note book" named by the names of the target objects are displayed on the target image.

For example, as shown in fig. 7, if the user clicks "link 3" or "PCT applicant guide", the shopping site of the book "PCT applicant guide" can be searched through the target link, and the user can directly implement the shopping process through the target link.

For example, as shown in fig. 8, if the user clicks "link 3" or "PCT applicant guide", the encyclopedia knowledge-related website of the book "PCT applicant guide" can be searched through the target link, and the user can directly know the detailed information of the book through the target link.

In some embodiments, when the user searches for the related information of the target object through the target link, the method further includes setting a target link relevance evaluation interface for providing relevance evaluation for the user, for example, setting a relevance evaluation selection item, and after the user makes the relevance evaluation, the electronic device pushes the target link of the target object and an evaluation result corresponding to the target link to the cloud server, so that the cloud server performs data update on the big data. Alternatively, when the relevance evaluation made by the user is a case where the relevance is low, the target link of the target object may be regenerated.

In some embodiments, the electronic device may record history records of types of target objects in target images acquired by a user in a history period, generated target links, and relevance evaluation of the target links by the user, and may perform analysis and learning processing on the history records by using a learning algorithm, and the electronic device may generate information search preferences of the user through a self-analysis and learning processing process, and may guide the generated target links closer to expected values of the information related to the target objects acquired by the user according to the generated information search preferences.

Referring to fig. 9, fig. 9 is a schematic flowchart of an information obtaining method according to an embodiment of the present invention. The method is applied to a server and comprises the following steps:

in step S301, parameter information of a target object in a target image pushed from the electronic device is acquired.

It can be understood that the parameter information of the target object may include graphic feature information and text feature information, the server may be a cloud server, and the electronic device establishes a connection with the server through a network. For example, the cloud server obtains graphic feature information and text feature information of a target object.

And step S302, carrying out similarity matching on the parameter information of the target object and the sample information in the server.

It can be understood that a large amount of sample information is stored in the cloud server in advance, and the parameter information of the target object is subjected to similarity matching with the sample information in the server. Firstly, the cloud server can preliminarily screen out a sample set corresponding to the character feature information of each sub-target object in a big database according to the character feature information, wherein each sample in the sample set comprises specific information of the sample and a link associated with the sample. Secondly, similarity matching is carried out on each sample in the sample set and the graphic features of the corresponding sub-target objects on the target image.

Step S303, determining a sample of which the similarity between the sample information and the parameter information of the target object reaches a preset threshold as a related object.

It can be understood that, when the similarity matching between the sample information and the parameter information of the target object reaches a preset threshold, a sample with the similarity to a sub-target image in the sample set reaching the preset threshold is determined as an associated object, and the associated object is associated with the sub-target object.

Step S304, feeding back information of the associated object associated with the target object to the electronic equipment.

It can be understood that, after the association object is matched, the cloud server feeds back information of the association object to the electronic device.

For a clearer understanding of the embodiment of the present invention, please refer to fig. 10, and fig. 10 is a schematic diagram of an interaction between an electronic device and a server according to the embodiment of the present invention.

The electronic equipment firstly sequentially executes the following steps: A. acquiring a target image; B. extracting parameter information of a target object in the target image; C. and pushing the parameter information of the target object to a server.

Subsequently, the server performs the following steps in order: D. acquiring parameter information of a target object in a target image pushed by electronic equipment; E. similarity matching is carried out on the parameter information of the target object and the sample information in the server; F. determining a sample with the similarity between the sample information and the parameter information of the target object reaching a preset threshold value as a related object; G. and feeding back information of the associated object associated with the target object to the electronic equipment.

Finally, the electronic device sequentially executes the following steps: H. receiving information of an associated object fed back from the server, wherein the associated object is associated with the target object, and the information of the associated object comprises pre-stored information and pre-stored links of the associated object; I. generating a target link according to the information of the associated object, wherein the target link is a prestored link of the associated object associated with the target object, and the target link is used for searching the information about the target object; J. displaying the target link, wherein the target link is displayed on the target image.

In particular, the present invention is not limited by the execution sequence of the steps, and some steps may be performed in other sequences or simultaneously without conflict.

The embodiment of the invention generates the target link by extracting the parameter information of the target object in the target image, pushing the parameter information of the target object in the target image to the server and receiving the information of the associated object fed back from the server, wherein the associated object is associated with the target object, the information of the associated object comprises the pre-stored information and the pre-stored link of the associated object, the target link is the pre-stored link of the associated object associated with the target object, the target link is used for searching the information about the target object, and finally the target link is displayed, wherein the target link is displayed on the target image, so that the user can search the information about the target object through the target link, and the user can more conveniently and quickly acquire the related information about the target object, the flexibility and convenience of information acquisition are improved.

An information obtaining apparatus is further provided in an embodiment of the present invention, as shown in fig. 11, fig. 11 is a schematic structural diagram of an information obtaining apparatus provided in an embodiment of the present invention. The information acquiring device 30 includes an extracting module 32, a pushing module 33, a receiving module 34, a generating module 35, and a displaying module 36.

The extracting module 32 is configured to extract parameter information of a target object in a target image.

It is to be understood that the object recorded by the object image may be any object recorded by an image or picture, such as various kinds of objects of buildings, scenes, plants, animals, living goods, and the like. Since different objects are displayed in different forms or different characteristics, in order to accurately distinguish the objects recorded on the target image, the extraction module 32 needs to extract parameter information of the target object in the target image.

The pushing module 33 is configured to push the parameter information of the target object to a server.

After the electronic device determines the target object according to the graphic features in the target image, the pushing module 33 pushes the parameter information of the target object to the server. The parameter information of the target object can comprise graphic characteristic information and character characteristic information, the server can be a cloud server, and the electronic equipment is connected with the server through a network. For example, the pushing module 33 in the electronic device pushes the acquired graphic feature information and text feature information of the target object to the cloud server.

The receiving module 34 is configured to receive information of an associated object fed back from the server, where the associated object is associated with the target object, and the information of the associated object includes pre-stored information and pre-stored links of the associated object.

The generating module 35 is configured to generate a target link according to the information of the associated object, where the target link is a pre-stored link of the associated object associated with the target object, and the target link is used to search for information about the target object.

It can be understood that, the generating module 35 associates a preset link in the associated object to the target object through the information of the associated object fed back by the cloud server, so as to generate a target link corresponding to the target object in the target image. The target link is a network link established by depending on the internet. The process of generating the target link needs to rely on the internet and a large database in a cloud server.

The display module 36 is configured to display the target link, where the target link is displayed on the target image.

It is understood that after the generating module 35 generates the target link, the displaying module 36 displays the target link on the target image in order to facilitate the user to obtain the relevant information of the target object on the target image.

Referring to fig. 12, fig. 12 is another schematic structural diagram of an information acquisition apparatus according to an embodiment of the present invention. The information acquiring apparatus 30 includes a first acquiring module 31, an extracting module 32, a pushing module 33, a receiving module 34, a generating module 35, and a displaying module 36.

The first obtaining module 31 is configured to obtain a target image.

It can be understood that, when a user needs to acquire information related to a certain target object, first, the first acquiring module 31 needs to acquire a target image containing the target object.

It can be understood that there are various ways to obtain the target image, the first obtaining module 31 may obtain the target image by taking a picture, the first obtaining module 31 may also obtain the target image by calling a pre-stored picture, the first obtaining module 31 may also obtain the target image by using a picture drawn by software, and the first obtaining module 31 may also synthesize the target image by using a plurality of pictures.

In some embodiments, the first acquiring module 31 is configured to acquire the target image through an image capturing element of the electronic device.

In some embodiments, the first obtaining module 31 is configured to select the target image from images pre-stored in a memory of the electronic device to obtain the target image.

The extracting module 32 is configured to extract parameter information of a target object in the target image.

It can be understood that the extracting module 32 may divide the content displayed by the target image according to a preset rule to form a target object in the target image, and then extract parameter information of the target object from the target object of the target image. Wherein the preset rule may include at least one of a species, a material, a function, a name, a color, and a shape.

For example, after the first obtaining module 31 in the electronic device obtains the target image, the target image is analyzed according to a preset rule to extract a graphic feature in the target image, and then the target object in the target image is determined according to the feature information. Wherein the graphic features may include at least one of pixels, textual description, trademark, color, shape, size. The electronic device converts the acquired graphic features into corresponding text feature information, for example, the text feature information is an article name. The parameter information of the target object may include the image feature information and the text feature information.

For example, after the first obtaining module 31 obtains the target image, the extracting module 32 analyzes the target image according to a preset rule to determine the target object in the target image.

In some embodiments, the target object includes a plurality of sub-target objects, and the extracting module 32 is configured to divide the target object in the target image into the plurality of sub-target objects according to a preset rule.

After the electronic device determines the target object according to the graphic features in the target image, the pushing module 33 pushes the parameter information of the target object to the server. The parameter information of the target object can comprise graphic characteristic information and character characteristic information, the server can be a cloud server, and the electronic equipment is connected with the server through a network. For example, the electronic device pushes the acquired graphic feature information and text feature information of the target object and the target image to a cloud server, a large amount of sample information is stored in the cloud server in advance, the cloud server screens out a sample set corresponding to the text feature information of each sub-target object from a large database according to the text feature information, and each sample in the sample set comprises specific information of the sample and links associated with the sample. And performing similarity matching on each sample in the sample set and a corresponding sub-target object on the target image, determining the sample with the similarity reaching a preset threshold in the sample set as an associated object when the similarity matching reaches a preset threshold, performing information association on the associated object and the sub-target object, and feeding back the information of the associated object to the electronic equipment by the cloud server.

It can be understood that, through the information of the associated object fed back by the cloud server, the link preset in the associated object is associated with the target object, so that the generating module 35 generates the target link corresponding to the target object in the target image. The target link is a network link established by depending on the internet. The generation module 35 needs to rely on the internet and a large database in the cloud server in the process of generating the target link.

In some embodiments, the generating module 35 further includes an obtaining sub-module 351 and a generating sub-module 352.

The obtaining sub-module 351 is configured to obtain a search preference of a user for a preset information type of the target object;

the generating sub-module 352 is configured to select a preset link matching the information type from the information of the associated object according to the information type set in the search preference, so as to generate the target link.

It can be understood that the information of the associated object fed back by the cloud server includes pre-stored information and pre-stored links of the associated object, the preset links may include links of a plurality of different information types, and according to the search preference of the preset information type, the generating sub-module 352 selects the preset link matched with the information type set in the search preference from the information of the associated object to generate the target link.

In some embodiments, the target object comprises a plurality of sub-target objects, and the generating module 35 is further configured to generate a plurality of target links corresponding to the plurality of sub-target objects.

It can be understood that, after the first obtaining module 31 obtains a plurality of sub-target objects in the target object, the generating module 35 may associate a preset link in the associated object with each sub-target object through information of the associated object fed back by a cloud server, so as to generate a target link corresponding to each sub-target object.

In some embodiments, the display module 36 is further configured to display the plurality of target links on the plurality of sub-target objects corresponding thereto, respectively.

It is understood that, in order to make the target link corresponding to each sub-target object easier to distinguish, the display module 36 displays the plurality of target links on the plurality of sub-target objects corresponding thereto, respectively.

In some embodiments, the display module 36 is further configured to name the target link with the name of the target object, and display the target link named with the name of the target object on the target image.

Referring to fig. 13, fig. 13 is a schematic structural diagram of an information acquisition apparatus according to an embodiment of the present invention. The information acquiring apparatus 40 includes a second acquiring module 41, a matching module 42, a determining module 43, and a feedback module 44.

The second obtaining module 41 is configured to obtain parameter information of a target object in a target image pushed from the electronic device.

It can be understood that the parameter information of the target object may include graphic feature information and text feature information, the server may be a cloud server, and the electronic device establishes a connection with the server through a network. For example, the second obtaining module 41 in the cloud server obtains the graphic feature information and the text feature information of the target object.

The matching module 42 is configured to perform similarity matching between the parameter information of the target object and the sample information in the server.

It can be understood that a large amount of sample information is stored in the cloud server in advance, and the matching module 42 performs similarity matching on the parameter information of the target object and the sample information in the server. First, the matching module 42 may initially screen out a sample set corresponding to the literal feature information of each sub-target object in a big database, where each sample in the sample set includes the specific information of the sample and a link associated with the sample. Next, the matching module 42 performs similarity matching between each sample in the sample set and the graphic features of the corresponding sub-target object on the target image.

The determining module 43 is configured to determine, as the associated object, a sample whose similarity between the sample information and the parameter information of the target object reaches a preset threshold.

It is understood that, when the similarity between the sample information and the parameter information of the target object reaches a preset threshold, the determining module 43 determines the sample in the sample set, the similarity between which and the sub-target image reaches the preset threshold, as the associated object, and performs information association between the associated object and the sub-target object.

The feedback module 44 is configured to feed back information of an associated object associated with the target object to the electronic device.

The electronic equipment can be equipment such as a smart phone, a tablet computer and a palm computer. As shown in fig. 14, an electronic device 400 includes a processor 401 having one or more processing cores, a memory 402 having one or more computer-readable storage media, and a computer program stored on the memory and executable on the processor. The processor 401 is electrically connected to the memory 402.

The processor 401 is a control center of the electronic device 400, connects various parts of the entire electronic device using various interfaces and lines, and performs various functions of the electronic device and processes data by running or loading an application program stored in the memory 402 and calling data stored in the memory 402, thereby integrally monitoring the electronic device.

In the embodiment of the present invention, the processor 401 in the electronic device 400 loads instructions corresponding to processes of one or more application programs into the memory 402 according to the following steps, and the processor 401 runs the application programs stored in the memory 402, thereby implementing various functions:

extracting parameter information of a target object in a target image;

pushing the parameter information of the target object to a server;

In some embodiments, the processor 401 is configured to generate the target link according to the information of the associated object, and further includes:

and selecting a preset link matched with the information type set in the search preference from the information of the associated object to generate the target link.

In some embodiments, the processor 401, before the extracting parameter information of the target object in the target image, is further configured to:

acquiring the target image, specifically:

In some embodiments, the target object comprises a plurality of sub-target objects, wherein the processor 401 is configured to generate the target link, comprising: generating a plurality of target links corresponding to the plurality of sub-target objects; the displaying the target link includes: and displaying the target links on the corresponding sub-target objects respectively.

In some embodiments, the processor 401 is configured to said display said target link, and comprises:

the target link is named with the name of the target object, and the target link named with the name of the target object is displayed on the target image.

In some embodiments, as shown in fig. 15, electronic device 400 further comprises: display screen 403, camera 404. The processor 401 is electrically connected to the display 403 and the camera 404, respectively. Those skilled in the art will appreciate that the electronic device configuration shown in fig. 15 does not constitute a limitation of the electronic device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

The display screen 403 may be used to display information entered by or provided to the user as well as various graphical user interfaces of the electronic device, which may be made up of graphics, text, icons, video, and any combination thereof. When the display screen 403 is a touch display screen, it may also be used as a part of an input unit to implement an input function.

The camera 404 has basic functions of video shooting, video transmission, still image capturing and the like, and after the camera 404 collects images through a lens, the images are processed and converted into digital signals which can be recognized by a computer through a photosensitive component and a control component in the camera, and then the images are restored through image recognition software.

Although not shown in fig. 15, the electronic device 400 may further include a radio frequency circuit, a wireless fidelity module, an input unit, a sensor, a power supply, an audio circuit, a bluetooth module, and the like, which are not described in detail herein.

In some embodiments, camera 404 is used to acquire a target image; the processor 401 calls a computer program stored in the memory 402, and is configured to extract parameter information of a target object in the target image, and push the parameter information of the target object to a server; the processor receives information of an associated object fed back from the server, wherein the associated object is associated with the target object, the information of the associated object comprises pre-stored information and pre-stored links of the associated object, and a target link is generated according to the information of the associated object, wherein the target link is the pre-stored link of the associated object associated with the target object, and the target link is used for searching for the information about the target object; and the 403 display screen is used for displaying the target link, wherein the target link is displayed on the target image.

The embodiment of the invention also provides a server. As shown in fig. 16, the server 500 includes: a processor 501 and a memory 502. The processor 501 is electrically connected to the memory 502.

The processor 501 is a control center of the server 500, connects various parts of the entire server 500 using various interfaces and lines, performs various functions of the server and processes data by running or loading an application program stored in the memory 502, and calling data stored in the memory 502, thereby performing overall monitoring of the server 500.

In the embodiment of the present invention, the processor 501 in the server 500 loads instructions corresponding to processes of one or more application programs into the memory 502 according to the following steps, and the processor 501 runs the application programs stored in the memory 502, thereby implementing various functions:

The server 500 provided by the embodiment of the invention is used for searching and associating the information and the link related to the target object, and preparing the electronic device for generating the target link in an early stage, so that the electronic device can generate the target link according to the link associated with the server, the resource occupation in the electronic device system is reduced, and the operating efficiency of the electronic device is improved.

An embodiment of the present invention further provides an information acquisition system, as shown in fig. 1, where the system includes an electronic device and a server, where the electronic device is connected to the server through a network, and the system is implemented by using the information acquisition method according to any one of the embodiments of the present invention to complete information interaction between the electronic device and the server, so that related information of a target object can be acquired conveniently and quickly, and flexibility and convenience of information acquisition are improved.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiment of the present invention, the information acquisition apparatus and the information acquisition method in the above embodiments belong to the same concept, and any method provided in the embodiment of the information acquisition method may be operated on the information acquisition apparatus, and a specific implementation process thereof is described in detail in the embodiment of the information acquisition method, and is not described herein again.

It should be noted that, for the information obtaining method of the present invention, a person skilled in the art may understand that all or part of the processes of implementing the information obtaining method according to the embodiments of the present invention may be completed by controlling related hardware through a computer program, where the computer program may be stored in a computer readable storage medium, such as a memory of an electronic device, and executed by at least one processor in the electronic device, and during the execution, the processes of the embodiments of the information obtaining method may be included. The storage medium may be a magnetic disk, an optical disk, a Read Only Memory (ROM), a Random Access Memory (RAM), or the like.

In the information acquisition apparatus according to the embodiment of the present invention, each functional module may be integrated into one processing chip, or each module may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium, such as a read-only memory, a magnetic or optical disk, or the like.

The information acquisition method, the information acquisition device, the information acquisition medium, the electronic device, the server and the information acquisition system provided by the embodiment of the invention are described in detail, a specific example is applied in the text to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the technical scheme and the core idea of the invention; those of ordinary skill in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. An information acquisition method applied to an electronic device, the method comprising:

extracting parameter information of a target object in a target image;

pushing the parameter information of the target object to a server;

generating a target link according to the information of the associated object, including: acquiring search preference of a user for information types preset by the target object; selecting a preset link matched with the information type from the information of the associated object according to the information type set in the search preference so as to generate the target link; wherein the target link is a pre-stored link of the associated object associated with the target object, the target link being used to search for information about the target object;

2. The information acquisition method according to claim 1, further comprising, before said extracting parameter information of the target object in the target image:

acquiring the target image, specifically:

3. The information acquisition method according to claim 1, wherein the target object includes a plurality of sub-target objects, wherein,

the generating the target link includes: generating a plurality of target links corresponding to the plurality of sub-target objects;

the displaying the target link includes: and displaying the target links on the corresponding sub-target objects respectively.

4. The information acquisition method according to any one of claims 1 to 3, wherein the displaying the target link includes:

5. An information acquisition method is applied to a server, and the method comprises the following steps:

6. An information acquisition apparatus, characterized in that the apparatus comprises:

the pushing module is used for pushing the parameter information of the target object to a server;

a display module for displaying the target link, wherein the target link is displayed on the target image;

wherein the generating module further comprises:

the acquisition submodule is used for acquiring the search preference of the user for the preset information type of the target object;

and the generation sub-module is used for selecting a preset link matched with the information type from the information of the associated object according to the information type set in the search preference so as to generate the target link.

7. The information acquisition apparatus according to claim 6, wherein the apparatus further comprises:

the first obtaining module is configured to obtain the target image, and specifically includes:

8. The information acquisition apparatus according to claim 6, wherein the target object includes a plurality of sub-target objects, wherein,

the generating module is further used for generating a plurality of target links corresponding to the plurality of sub-target objects;

the display module is further configured to display the plurality of target links on the plurality of sub-target objects corresponding thereto, respectively.

9. The information acquisition apparatus according to any one of claims 6 to 8, wherein the display module is further configured to name the target link by a name of the target object, and to display the target link named by the name of the target object on the target image.

10. An information acquisition apparatus of the information acquisition apparatus according to claim 6, characterized in that the apparatus comprises:

11. A storage medium having stored thereon a computer program, characterized in that the computer program is called by a processor to execute the information acquisition method according to claim 1.

12. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor calls the computer program stored in the memory to execute the information acquisition method according to claim 1.

13. An electronic device, comprising a display screen, a camera, a memory, and a processor, characterized in that:

the camera is used for acquiring a target image;

the processor calls a computer program stored in the memory and is used for extracting the parameter information of the target object in the target image and pushing the parameter information of the target object to a server; the processor receives information of an associated object fed back from the server, wherein the associated object is associated with the target object, the information of the associated object comprises pre-stored information and pre-stored links of the associated object, and a target link is generated according to the information of the associated object, and the method comprises the following steps: acquiring search preference of a user for information types preset by the target object; selecting a preset link matched with the information type from the information of the associated object according to the information type set in the search preference so as to generate the target link; wherein the target link is a pre-stored link of the associated object associated with the target object, the target link being used to search for information about the target object;

the display screen is used for displaying the target link, wherein the target link is displayed on the target image.

14. A server of the information acquisition method according to claim 1, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor calls the computer program stored in the memory for executing the steps of:

15. An information acquisition system comprising the electronic device of claim 12 or 13 and the server of claim 14.