CN107748772B - Trademark identification method and device - Google Patents
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Abstract
The invention relates to the technical field of communication, and provides a trademark identification method and device. The method comprises the following steps: acquiring image information which is input by a user and contains a trademark; generating a URL address corresponding to the image information, and sending the URL address to the plurality of trademark recognition engines to determine whether the plurality of trademark recognition engines can recognize the image information; and if so, receiving a plurality of recognition results fed back by the plurality of trademark recognition engines, and feeding back the recognition result meeting the preset conditions in the plurality of recognition results to the user. The invention obtains the image information containing the trademark input by the user; generating a URL address corresponding to the image information and sending the URL address to the plurality of trademark recognition engines to determine whether the plurality of trademark recognition engines can recognize the image information; if yes, receiving a plurality of recognition results fed back by the plurality of trademark recognition engines and feeding back the recognition results meeting preset conditions in the recognition results to the user, wherein the common recognition of the plurality of trademark recognition engines achieves the effects of large recognition quantity and high recognition accuracy.
Description
Technical Field
The invention belongs to the technical field of identification, and particularly relates to a trademark identification method and device.
Background
The brand trademark is a powerful tool for enterprise competition, plays an increasingly important role in the modern society, the influence of a good brand trademark on enterprises is important, along with the development and maturity of an image recognition technology, the image recognition of the brand trademark becomes a very important research field, and the main brand trademark recognition method at present is mostly based on the existing image recognition technology, needs a large amount of time for collecting, labeling and auditing training data, and has a large requirement on the sample size of the training data.
Because the trademark identification technology is developed in recent years, the number and the accuracy of trademarks which can be identified by trademark identification engines of different research institutions are obviously different, and compared with the huge number of trademarks, the number and the accuracy of identification of any single trademark identification engine are not enough to meet the requirement of a user on the identification of massive trademarks.
As described above, the conventional trademark recognition engine has a small recognition amount and low recognition accuracy when recognizing a trademark.
Disclosure of Invention
In view of this, embodiments of the present invention provide a trademark identification method and apparatus, so as to solve the problems of a small identification amount and low identification precision of the trademark identification method in the prior art.
A first aspect of an embodiment of the present invention provides a trademark identification method, including:
acquiring image information which is input by a user and contains a trademark;
generating a URL address corresponding to the image information, and sending the URL address to a plurality of trademark identification engines to determine whether the plurality of trademark identification engines can identify the image information;
and if so, receiving a plurality of recognition results fed back by the plurality of trademark recognition engines, and feeding back the recognition result meeting preset conditions in the plurality of recognition results to the user.
A second aspect of an embodiment of the present invention provides a trademark identification device, including:
the acquisition module is used for acquiring image information which is input by a user and contains a trademark;
the sending module is used for generating a URL (uniform resource locator) address corresponding to the image information and sending the URL address to a plurality of trademark identification engines to determine whether the plurality of trademark identification engines can identify the image information;
and the feedback module is used for receiving a plurality of recognition results fed back by the plurality of trademark recognition engines and feeding back the recognition results meeting preset conditions in the recognition results to the user if the identification results meet the preset conditions.
A third aspect of an embodiment of the present invention provides a trademark identification device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:
acquiring image information which is input by a user and contains a trademark;
generating a URL address corresponding to the image information, and sending the URL address to a plurality of trademark identification engines to determine whether the plurality of trademark identification engines can identify the image information;
and if so, receiving a plurality of recognition results fed back by the plurality of trademark recognition engines, and feeding back the recognition result meeting preset conditions in the plurality of recognition results to the user.
A fourth aspect of embodiments of the present invention provides a computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of:
acquiring image information which is input by a user and contains a trademark;
generating a URL address corresponding to the image information, and sending the URL address to a plurality of trademark identification engines to determine whether the plurality of trademark identification engines can identify the image information;
and if so, receiving a plurality of recognition results fed back by the plurality of trademark recognition engines, and feeding back the recognition result meeting preset conditions in the plurality of recognition results to the user.
The embodiment of the invention obtains the image information which is input by a user and contains a trademark; generating a URL address corresponding to the image information, and sending the URL address to a plurality of trademark identification engines to determine whether the plurality of trademark identification engines can identify the image information; if yes, receiving a plurality of recognition results fed back by the plurality of trademark recognition engines, and feeding back the recognition results meeting preset conditions in the plurality of recognition results to a user, so that the common recognition of the plurality of trademark recognition engines achieves the effects of large recognition quantity and high recognition accuracy.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flow chart illustrating an implementation of a trademark identification method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a brand trademark directory provided by an embodiment of the present invention;
fig. 3 is a schematic flow chart illustrating an implementation of a trademark identification method according to a second embodiment of the present invention;
fig. 4 is a schematic flow chart of a specific implementation of the trademark identification method provided in the embodiment of the present invention;
fig. 5 is a block diagram of a trademark identification device provided in the third embodiment of the present invention;
fig. 6 is a schematic view of a trademark identification device provided in the fourth embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when … …" or "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
Example one
Fig. 1 shows a schematic flow chart of an implementation of a trademark identification method according to an embodiment of the present invention. As shown in fig. 1, the trademark identification method specifically includes the following steps S101 to S103.
Step S101: image information including a trademark input by a user is acquired.
The image information which is input by a user and contains a trademark is obtained on a computer, the computer can be a desktop computer or a mobile terminal, wherein the mobile terminal is a mobile computer device with an input function, and the mobile computer device comprises but is not limited to a smart phone, a smart watch, a notebook, a tablet computer, a POS machine and even a vehicle-mounted computer. The input mode may be that the user uploads a pre-stored image containing the trademark, or the user uploads a picture containing the trademark taken in the field, or other available input modes, which is not limited herein.
Step S102: and generating a URL address corresponding to the image information, and sending the URL address to a plurality of trademark identification engines to determine whether the plurality of trademark identification engines can identify the image information.
Wherein, URL (Uniform resource Locator) is the address of WWW page, which from left to right consists of the following parts:
1. internet resource type (scheme): indicating the tools the WWW client is to operate with. Such as "http: /"denotes a WWW server," ftp: /"denotes an FTP server," gopher: /"denotes the Gopher server, and" new: "denotes Newgroup news group.
2. Server address (host): indicating the server domain name where the WWW page is located. Port (port): sometimes (and not always) for access to certain resources, the corresponding server provisioning port number is given.
3. Path (path): indicating the location of a resource on the server (which is in the same format as in DOS systems, typically consisting of a structure of directory/subdirectory/filename). Like a port, a path is not always required.
The URL address format is arranged as follows: scheme: // host: port/path, e.g., http: a typical URL address is// www.sohu.com/domain/HXWZ.
And generating a URL address corresponding to the image information, and sending the URL address to a plurality of trademark recognition engines, wherein the plurality of trademark recognition engines can be a plurality of third-party trademark recognition engines, and can also be a combination of a local trademark recognition engine and a third-party trademark recognition engine. The plurality of trademark identification engines download image information corresponding to the URL address according to the URL address, and whether the plurality of trademark identification engines can identify the image information is determined according to the image information.
Step S103: and if so, receiving a plurality of recognition results fed back by the plurality of trademark recognition engines, and feeding back the recognition result meeting preset conditions in the plurality of recognition results to the user.
And if the image information can be identified, receiving a plurality of identification results fed back by the plurality of trademark identification engines, and feeding back an identification result meeting a preset condition in the plurality of identification results to the user.
As a preferred embodiment of the present invention, feeding back, to the user, an identification result that meets a preset condition among the plurality of identification results includes:
and feeding back the recognition result fed back earliest in the plurality of recognition results to the user.
The time spent in the identification of the plurality of identification results is sequenced and displayed, and the identification result displayed at the first position is fed back to the user. Because the embodiment of the invention is aggregated and associated with the plurality of third-party trademark recognition engines, the total trademark recognition amount is effectively improved, when one trademark recognition engine cannot recognize a certain trademark, the trademark recognition engines recognize the trademark together, the recognition capabilities of the plurality of trademark recognition engines are aggregated, and the trademark recognition amount is increased.
Optionally, feeding back, to the user, an identification result meeting a preset condition in the plurality of identification results includes:
feeding back one or more pieces of URL information associated with the preset condition recognition result to the user: if the number of the URL information is one, displaying the page of the URL information to a user; if the number of the URL summary information pages is multiple, displaying the URL summary information pages to the user.
FIG. 2 is a schematic diagram of a brand name catalog provided by an embodiment of the present invention. As shown in fig. 2, the trademark "kendiry" is recognized, only one URL is recognized, and a page of the URL information is displayed to the user; the trademark 'koala' is recognized, two pieces of URL information are recognized, and a plurality of summary information pages of the URL information are displayed for the user.
As another preferred embodiment of the present invention, feeding back, to the user, an identification result that meets a preset condition among the plurality of identification results includes:
comparing the multiple identification results to obtain the repetition rate of the identification results;
and feeding back the recognition result with the highest repetition rate to the user.
This preferred embodiment has improved the degree of accuracy of trade mark discernment when having promoted trade mark discernment total volume.
The embodiment of the invention obtains the image information which is input by a user and contains a trademark; generating a URL address corresponding to the image information, and sending the URL address to a plurality of trademark identification engines to determine whether the plurality of trademark identification engines can identify the image information; if yes, receiving a plurality of recognition results fed back by the plurality of trademark recognition engines, and feeding back the recognition results meeting preset conditions in the plurality of recognition results to a user, so that the common recognition of the plurality of trademark recognition engines achieves the effects of large recognition quantity and high recognition accuracy.
Example two
Fig. 3 shows a schematic flow chart of an implementation of the trademark identification method provided by the second embodiment of the present invention. As shown in fig. 3, the trademark identification method specifically includes the following steps:
step S201: image information including a trademark input by a user is acquired.
The step is the same as step S101, and reference may be made to the related description of step S101, which is not repeated herein.
Step S202: and generating a URL address corresponding to the image information, and sending the URL address to a plurality of trademark identification engines to determine whether the plurality of trademark identification engines can identify the image information.
The step is the same as step S102, and reference may be made to the related description of step S102, which is not repeated herein.
Step S203: and if so, receiving a plurality of recognition results fed back by the plurality of trademark recognition engines, and feeding back the recognition result meeting preset conditions in the plurality of recognition results to the user.
The step is the same as step S103, and reference may be made to the related description of step S103, which is not described herein again.
Step S204: if the image information cannot be identified by the trademark identification engines, the URL addresses corresponding to the image information are sent to the image search engines so that the image search engines respectively search the image information to obtain a plurality of search results.
When the image information cannot be identified by the trademark identification engines, the server sends the URL addresses corresponding to the image information to the image search engines, and the image search engines download the images corresponding to the URL addresses according to the URL addresses and search in the database to obtain a plurality of search results.
Step S205: and comparing the search result with a preset trademark directory to confirm whether the trademark keyword corresponding to the trademark directory exists in the search result.
For example, the preset brand directory is a fast food brand directory, the search result is compared with the fast food brand directory to determine whether a brand keyword corresponding to the brand directory exists in the search result, and if "new chicken cutlet" exists in the search result and "new chicken cutlet" also exists in the fast food brand directory, the conditions are met.
Step S206: and if so, feeding back the trademark keyword with the highest frequency in the search result to the user.
Further, if the trademark keyword corresponding to the trademark catalogue exists in the search result, the trademark keyword with the highest occurrence frequency in the search result is fed back to the user. Still taking the above example of the positive and new chicken cutlet, the frequency of occurrence of the search result "positive and new chicken cutlet" is 89 times, the frequency of occurrence of "positive and new chicken cutlet" is 56 times, and the corresponding frequency of the remaining search results is less than 56 times, and then the trademark keyword "positive and new chicken cutlet" with the highest frequency of occurrence is fed back to the user.
In this embodiment, when the image information cannot be recognized by any of the plurality of brand recognition engines, the brand can be recognized by performing a search by the image search engine.
Optionally, the trademark keyword comprises a trademark chinese name and/or a trademark foreign language name pre-stored in the database, for example, the foreign language trademark corresponding to "kendiry" is "KFC", and preferably, the trademark chinese name "kendiry" is stored in association with the trademark foreign language name "KFC".
Further included after step S206 is:
step S207: and if the search result does not contain the trademark key words corresponding to the trademark directory, returning a failure result to the user.
To further explain the specific implementation logic of the embodiment, fig. 4 shows a flowchart illustrating a specific implementation of the trademark identification method according to the embodiment of the present invention.
Referring to fig. 4, sending the image URLs corresponding to the acquired image information containing trademarks to a plurality of trademark recognition engines to determine whether the image information can be recognized by the trademark recognition engines, and if the recognition is successful, directly feeding back the recognition result to the user; if the identification fails, sending the image URL to a plurality of external image search engines, analyzing the results returned by the external search engines according to the plurality of optional analysis methods to confirm whether the results contain the trademark keyword, if not, continuously searching for y times (specifically, the number of searching times can be random or preset for 3 times), if the results do not contain the trademark keyword within the y times, capturing the URLs of similar images in the search results, and continuously searching for the URLs of the images and returning the results; and if the result does not contain the trademark keyword after y times of searching, returning a failure result.
In summary, in the embodiment of the present invention, when none of the plurality of trademark identification engines can identify the image information, the image search engine performs the search, so as to identify the brand trademark, thereby further increasing the total amount of trademark identification.
EXAMPLE III
Referring to fig. 5, a block diagram of a trademark identification device according to a third embodiment of the present invention is shown. The trademark identification means 50 includes: an acquisition module 51, a sending module 52 and a feedback module 53. The specific functions of each module are as follows:
an obtaining module 51, configured to obtain image information including a trademark input by a user;
a sending module 52, configured to generate a URL address corresponding to the image information, and send the URL address to a plurality of trademark recognition engines to determine whether the plurality of trademark recognition engines can recognize the image information;
and a feedback module 53, configured to receive, if yes, multiple recognition results fed back by the multiple trademark recognition engines, and feed back, to the user, a recognition result that meets a preset condition in the multiple recognition results.
Optionally, the feedback module 53 includes:
and the first feedback unit is used for feeding back the recognition result fed back earliest in the plurality of recognition results to the user.
Optionally, the feedback module 53 includes:
the comparison unit is used for comparing the plurality of identification results to obtain the repetition rate of the identification results;
and the second feedback unit is used for feeding back the recognition result with the highest repetition rate to the user.
Optionally, the trademark identification means 50 further comprises:
the sending module is used for sending URL addresses corresponding to the image information to a plurality of image search engines to enable the image search engines to respectively search the image information to obtain a plurality of search results if the image information cannot be identified by a plurality of trademark identification engines;
the comparison module is used for comparing the search result with a preset trademark directory to confirm whether trademark keywords corresponding to the trademark directory exist in the search result or not;
and if so, feeding back the trademark keyword with the highest frequency in the search result to the user.
Optionally, the trademark keyword includes a trademark chinese name and/or a trademark foreign language name pre-stored in the database, and the trademark identification device 50 further includes:
and the second feedback module returns a failure result to the user if the trademark keyword corresponding to the trademark directory does not exist in the search result.
Optionally, the feedback module 53 includes:
a third feedback unit, configured to feed back, to the user, one or more pieces of URL information associated with the preset condition identification result: if the number of the URL information is one, displaying the page of the URL information to a user; if the number of the URL summary information pages is multiple, displaying the URL summary information pages to the user.
The trademark identification device provided by the embodiment of the invention acquires image information containing trademarks input by a user; generating a URL address corresponding to the image information, and sending the URL address to a plurality of trademark identification engines to determine whether the plurality of trademark identification engines can identify the image information; if yes, receiving a plurality of recognition results fed back by the plurality of trademark recognition engines, and feeding back the recognition results meeting preset conditions in the plurality of recognition results to a user, so that the common recognition of the plurality of trademark recognition engines achieves the effects of large recognition quantity and high recognition accuracy.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Example four
Fig. 6 is a schematic diagram of a trademark identification device provided in four embodiments of the present invention. As shown in fig. 6, the trademark identification device 6 of this embodiment includes: a processor 60, a memory 61 and a computer program 62, such as a brand identification method program, stored in said memory 61 and executable on said processor 60. The processor 60, when executing the computer program 62, implements the steps in the various embodiments of trademark identification methods described above, such as steps S101 to S103 shown in fig. 1. Alternatively, the processor 60, when executing the computer program 62, implements the functions of the modules in the above-described device embodiments, such as the functions of the modules 51 to 53 shown in fig. 5.
Illustratively, the computer program 62 may be partitioned into one or more modules/units that are stored in the memory 61 and executed by the processor 60 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 62 in the trademark identification device 6. For example, the computer program 62 may be divided into an acquisition module, a transmission module and a feedback module. The specific functions of each module are as follows:
the acquisition module is used for acquiring image information which is input by a user and contains a trademark;
the sending module is used for generating a URL (uniform resource locator) address corresponding to the image information and sending the URL address to a plurality of trademark identification engines to determine whether the plurality of trademark identification engines can identify the image information;
and the feedback module is used for receiving a plurality of recognition results fed back by the plurality of trademark recognition engines and feeding back the recognition results meeting preset conditions in the recognition results to the user if the identification results meet the preset conditions.
The trademark identification device 6 may be a desktop computer, a notebook, a palm computer, a smart phone, a cloud server, or other computing devices. The brand identification device may include, but is not limited to, a processor 60, a memory 61. Those skilled in the art will appreciate that fig. 6 is merely an example of a brand identification device and is not intended to be limiting, and may include more or fewer components than those shown, or some components may be combined, or different components, for example, the brand identification device may also include an input-output device, a network access device, a bus, etc.
The Processor 60 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 61 may be an internal storage unit of the brand identification device 6, such as a hard disk or a memory of the brand identification device 6. The memory 61 may also be an external storage device of the trademark identification device 6, such as a plug-in hard disk provided on the trademark identification device 6, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the memory 61 may also include both an internal storage unit of the brand recognition device 6 and an external storage device. The memory 61 is used to store the computer program and other programs and data required by the brand recognition device. The memory 61 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A trademark identification method, comprising:
acquiring image information which is input by a user and contains a trademark;
generating a URL address corresponding to the image information, and sending the URL address to a plurality of trademark identification engines to determine whether the plurality of trademark identification engines can identify the image information; the plurality of trademark recognition engines download image information corresponding to the URL address according to the URL address, and determine whether the plurality of trademark recognition engines can recognize the image information according to the image information;
and if so, receiving a plurality of recognition results fed back by the plurality of trademark recognition engines, and feeding back the recognition result meeting preset conditions in the plurality of recognition results to the user.
2. A trademark identification method according to claim 1, wherein said feeding back the identification result meeting a preset condition among said plurality of identification results to the user comprises:
and feeding back the recognition result fed back earliest in the plurality of recognition results to the user.
3. A trademark identification method according to claim 1, wherein said feeding back the identification result meeting a preset condition among said plurality of identification results to the user comprises:
comparing the multiple identification results to obtain the repetition rate of the identification results;
and feeding back the recognition result with the highest repetition rate to the user.
4. A trademark identification method as claimed in claim 1, characterized in that said method further comprises:
if the image information cannot be identified by the trademark identification engines, sending URL addresses corresponding to the image information to a plurality of image search engines so that the image search engines respectively search the image information to obtain a plurality of search results;
comparing the search result with a preset trademark directory to confirm whether trademark keywords corresponding to the trademark directory exist in the search result;
and if so, feeding back the trademark keyword with the highest frequency in the search result to the user.
5. A trademark identification method in accordance with claim 4, wherein said trademark keyword includes a trademark chinese name and/or a trademark foreign language name stored in a database in advance, said method further comprising:
and if the search result does not contain the trademark key words corresponding to the trademark directory, returning a failure result to the user.
6. A trademark identification method according to any one of claims 1 to 5, wherein said feeding back identification results meeting preset conditions among said plurality of identification results to a user comprises:
feeding back one or more pieces of URL information associated with the preset condition recognition result to the user: if the number of the URL information is one, displaying the page of the URL information to a user; if the number of the URL summary information pages is multiple, displaying the URL summary information pages to the user.
7. A trademark identification device, characterized by comprising:
the acquisition module is used for acquiring image information which is input by a user and contains a trademark;
the sending module is used for generating a URL (uniform resource locator) address corresponding to the image information and sending the URL address to a plurality of trademark identification engines to determine whether the plurality of trademark identification engines can identify the image information; the plurality of trademark recognition engines download image information corresponding to the URL address according to the URL address, and determine whether the plurality of trademark recognition engines can recognize the image information according to the image information;
and the feedback module is used for receiving a plurality of recognition results fed back by the plurality of trademark recognition engines and feeding back the recognition results meeting preset conditions in the recognition results to the user if the identification results meet the preset conditions.
8. A trademark identification device in accordance with claim 7, wherein said feedback module comprises:
a first feedback unit, configured to feed back an earliest fed-back recognition result of the multiple recognition results to a user;
the comparison unit is used for comparing the plurality of identification results to obtain the repetition rate of the identification results;
the second feedback unit is used for feeding back the recognition result with the highest repetition rate to the user;
the trademark identification device further comprises:
the sending module is used for sending URL addresses corresponding to the image information to a plurality of image search engines to enable the image search engines to respectively search the image information to obtain a plurality of search results if the image information cannot be identified by a plurality of trademark identification engines;
the comparison module is used for comparing the search result with a preset trademark directory to confirm whether trademark keywords corresponding to the trademark directory exist in the search result or not;
and if so, feeding back the trademark keyword with the highest frequency in the search result to the user.
9. A brand identification device comprising a memory, a processor and a computer program stored in said memory and executable on said processor, characterized in that said processor implements the steps of the method according to any one of claims 1 to 6 when executing said computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
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| CN109657167B (en) * | 2018-11-29 | 2023-11-21 | 彩讯科技股份有限公司 | Data acquisition method, device, server and storage medium |
| CN111382744A (en) * | 2018-12-28 | 2020-07-07 | Tcl集团股份有限公司 | Shop information acquisition method and device, terminal equipment and storage medium |
| CN112115950A (en) * | 2020-09-28 | 2020-12-22 | 郭杰 | Wine label identification method, wine information management method, device, equipment and storage medium |
| CN115100479B (en) * | 2022-07-25 | 2022-12-20 | 深圳安牌信息技术有限公司 | Trademark automatic classification processing method and system based on image recognition |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106257451A (en) * | 2015-12-18 | 2016-12-28 | 陶德龙 | The method and device of website visiting |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040220903A1 (en) * | 2003-04-30 | 2004-11-04 | Emarkmonitor Inc. | Method and system to correlate trademark data to internet domain name data |
| JP2005092694A (en) * | 2003-09-19 | 2005-04-07 | Japan Useware System Co Ltd | Medicine prescription support system and method |
| US7812860B2 (en) * | 2004-04-01 | 2010-10-12 | Exbiblio B.V. | Handheld device for capturing text from both a document printed on paper and a document displayed on a dynamic display device |
| CN108428157B (en) * | 2009-12-30 | 2022-07-05 | 艾利丹尼森零售信息服务公司 | System and method for marketing and delivering customized information related to targeted specific products to consumers |
| CN102194007B (en) * | 2011-05-31 | 2014-12-10 | 中国电信股份有限公司 | System and method for acquiring mobile augmented reality information |
| CN104731824B (en) * | 2013-12-24 | 2018-12-18 | 腾讯科技（深圳）有限公司 | A kind of method and device showing picture |
-
2017
- 2017-09-30 CN CN201710940058.8A patent/CN107748772B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106257451A (en) * | 2015-12-18 | 2016-12-28 | 陶德龙 | The method and device of website visiting |
Non-Patent Citations (1)
| Title |
|---|
| "基于加权排序检索和视觉模式挖掘的商标识别";刘石 等;《计算机应用研究》;20150707(第11期);第3480-3483页 * |
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