CN116071214A - Problem feedback method and device for feeding back problem - Google Patents

Problem feedback method and device for feeding back problem Download PDF

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CN116071214A
CN116071214A CN202111276260.8A CN202111276260A CN116071214A CN 116071214 A CN116071214 A CN 116071214A CN 202111276260 A CN202111276260 A CN 202111276260A CN 116071214 A CN116071214 A CN 116071214A
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screen capturing
information
image
application
frequency domain
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章颢
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Beijing Sogou Technology Development Co Ltd
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Beijing Sogou Technology Development Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
    • G06T1/0021—Image watermarking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/602—Providing cryptographic facilities or services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/10—Image enhancement or restoration using non-spatial domain filtering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20048—Transform domain processing
    • G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]

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Abstract

The embodiment of the application discloses a problem feedback method, a device and a device for feeding back a problem. An embodiment of the method comprises: after detecting the screen capturing operation of the problem interface aiming at the application, acquiring an original screen capturing image and abstract information of a user identifier; converting the abstract information into frequency domain noise, and adding the frequency domain noise to an original screen capturing image to obtain a blind watermark screen capturing image; and feeding back the blind watermark screen capturing image to a development end so that the development end analyzes and obtains abstract information, and positioning the problems of the application based on the abstract information. The implementation mode reduces the problem positioning difficulty and achieves the privacy protection effect.

Description

Problem feedback method and device for feeding back problem
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to a problem feedback method and device and a device for feeding back a problem.
Background
In the Application (APP) running process, problems such as page loading failure, exception reporting and the like usually occur, and the problems need to be fed back to a developer. When a developer performs problem positioning, relevant information needs to be acquired according to a user identifier.
In the prior art, a user is required to screen a problem interface and report the screen to a designated channel for a developer to acquire. In this way, the developer is harder to trace the user identity, and the problem positioning difficulty is higher. In addition, if identity information is synchronously reported during screen capturing, privacy leakage risks exist in the information reporting link.
Disclosure of Invention
The embodiment of the application provides a problem feedback method, a device and a device for feeding back problems, so as to solve the technical problems of higher problem positioning difficulty and higher privacy disclosure risk in the prior art.
In a first aspect, an embodiment of the present application provides a problem feedback method, including: after detecting the screen capturing operation of the problem interface aiming at the application, acquiring an original screen capturing image and abstract information of a user identifier; converting the abstract information into frequency domain noise, and adding the frequency domain noise to the original screen capturing image to obtain a blind watermark screen capturing image; and feeding the blind watermark screen capturing image back to a development end so that the development end analyzes and obtains the abstract information, and carrying out problem positioning on the application based on the abstract information.
In some embodiments, the converting the summary information into frequency domain noise, adding the frequency domain noise to the original screen capture image, and obtaining a blind watermark screen capture image includes: performing Fourier transform on the original screen capturing image to obtain a frequency domain diagram; adding the abstract information to the frequency domain map as frequency domain noise; and carrying out inverse Fourier transform on the frequency domain graph added with the abstract information to obtain a blind watermark screen capturing image.
In some embodiments, the feeding back the blind watermark screen capturing image to the development end includes: uploading the blind watermark screen capturing image to a third party platform, and feeding the blind watermark screen capturing image back to a development end through the third party platform.
In some embodiments, upon detecting a screen capture operation for a problem interface of an application, the method further comprises: sending screen capturing related information containing the user identification and the abstract information to a server side for supporting the application; and the development end performs problem positioning on the application by the following steps: analyzing the blind watermark screen capturing image to restore and obtain the abstract information; and inquiring the related information of the screen capturing from the server based on the abstract information, and positioning the problems of the application based on the related information of the screen capturing.
In some embodiments, the screen capturing related information further includes at least one of the following: device information, application version information, user behavior data, screen capture time, system version information.
In some embodiments, the summary information is obtained by: determining at least one target bit in the user identification; and extracting characters of each target bit according to a preset sequence, and generating abstract information of the user identification.
In some embodiments, the summary information is obtained by: and encrypting the user identifier through an encryption algorithm to obtain abstract information of the user identifier.
In some embodiments, the acquiring the original screenshot image after detecting the screenshot operation of the problem interface for the application includes: after detecting the screen capturing operation of the problem interface aiming at the application, capturing a problem interface image; identifying the content in the problem interface image and determining privacy related information in the problem interface; and carrying out fuzzy processing on the privacy related information to obtain an original screen capturing image.
In a second aspect, an embodiment of the present application provides a problem feedback apparatus, including: the acquisition unit is configured to acquire an original screen capturing image and abstract information of a user identifier after detecting a screen capturing operation of a problem interface for an application; an adding unit configured to convert the summary information into frequency domain noise, and add the frequency domain noise to the original screen capturing image to obtain a blind watermark screen capturing image; and the feedback unit is configured to feed the blind watermark screen capturing image back to a development end so that the development end analyzes and obtains the abstract information and performs problem positioning on the application based on the abstract information.
In some embodiments, the adding unit is further configured to: performing Fourier transform on the original screen capturing image to obtain a frequency domain diagram; adding the abstract information to the frequency domain map as frequency domain noise; and carrying out inverse Fourier transform on the frequency domain graph added with the abstract information to obtain a blind watermark screen capturing image.
In some embodiments, the feedback unit is further configured to: uploading the blind watermark screen capturing image to a third party platform, and feeding the blind watermark screen capturing image back to a development end through the third party platform.
In some embodiments, the apparatus further comprises: a transmitting unit configured to record screen capturing related information including the user identification and the summary information, and transmit the screen capturing related information to a server for supporting the application; and the development end performs problem positioning on the application by the following steps: analyzing the blind watermark screen capturing image to restore and obtain the abstract information; and searching and inquiring the related information of the screen capturing from the server based on the abstract information, and positioning the problems of the application based on the related information of the screen capturing.
In some embodiments, the screen capturing related information further includes at least one of the following: device information, application version information, user behavior data, screen capture time, system version information.
In some embodiments, the summary information is obtained by: determining at least one target bit in the user identification; and extracting characters of each target bit according to a preset sequence, and generating abstract information of the user identification.
In some embodiments, the summary information is obtained by: and encrypting the user identifier through an encryption algorithm to obtain abstract information of the user identifier.
In some embodiments, the acquisition unit is further configured to: after detecting the screen capturing operation of the problem interface aiming at the application, capturing a problem interface image; identifying the content in the problem interface image and determining privacy related information in the problem interface; and carrying out fuzzy processing on the privacy related information to obtain an original screen capturing image.
In a third aspect, embodiments of the present application provide an apparatus for feedback problems, comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by one or more processors, the one or more programs comprising means for performing the method as described in the first aspect above.
In a fourth aspect, embodiments of the present application provide a computer readable medium having stored thereon a computer program which, when executed by a processor, implements a method as described in the first aspect above.
According to the problem feedback method, the device and the device for feeding back the problems, after the screen capturing operation of the problem interface aiming at the application is detected, the original screen capturing image and the abstract information of the user identification are obtained, then the abstract information is converted into frequency domain noise and added to the original screen capturing image to obtain a blind watermark screen capturing image, and finally the blind watermark screen capturing image is fed back to a development end, so that a developer can analyze and obtain the abstract information, and problem positioning is carried out on the application based on the abstract information. On one hand, the summary information can effectively represent the user identity, so that a developer can effectively locate the user identity, and the difficulty of problem location of the developer is reduced. On the other hand, the user identification is replaced by the abstract information, and the abstract information is not displayed in the plaintext, so that the privacy protection effect is achieved.
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Other features, objects and advantages of the present application will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the following drawings, in which:
FIG. 1 is a flow chart of one embodiment of a problem feedback method according to the present application;
FIG. 2 is a flow chart of yet another embodiment of a problem feedback method according to the present application;
FIG. 3 is a schematic structural view of one embodiment of a problem feedback device according to the present application;
FIG. 4 is a schematic structural view of an apparatus for feedback problems according to the present application;
fig. 5 is a schematic diagram of a server in some embodiments according to the application.
Detailed Description
The present application is described in further detail below with reference to the drawings and examples. 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 noted that, for convenience of description, only the portions related to the present invention are shown in the drawings.
It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Referring to FIG. 1, a flow 100 of one embodiment of a problem feedback method according to the present application is shown. The problem feedback method may be executed at a user end, where the user end may be various electronic devices used by a user, and the electronic devices include, but are not limited to: servers, smartphones, tablet computers, e-book readers, MP3 (dynamic video expert compression standard audio plane 3,Moving Picture Experts Group Audio Layer III) players, MP4 (dynamic video expert compression standard audio plane 4,Moving Picture Experts Group Audio Layer IV) players, laptop computers, car computers, desktop computers, set-top boxes, smart televisions, wearable devices, and the like.
The problem feedback method in this embodiment may include the following steps:
step 101, after detecting the screen capturing operation of the problem interface aiming at the application, acquiring an original screen capturing image and abstract information of a user identifier.
In this embodiment, the execution body of the problem feedback method (e.g., the electronic device) may acquire the original screenshot image and summary information of the user identifier after detecting the screenshot operation of the problem interface for the application. The application may be various applications running in the electronic device, such as an input method application, an instant messaging application, a browser, and the like. The user identification may be a unique identifier of the user, such as a user name or the like. The summary information is different for different user identities, so that the summary information may also indicate the user identity. In addition, the abstract information can avoid direct transmission of the user identification, thereby playing the role of protecting the privacy of the user.
Wherein summary information for the user identification may be generated based on the user identification. The summary information may be generated in a variety of ways. As an example, the user identifier may be encrypted by an encryption algorithm to obtain summary information. As another example, the summary information may be obtained after the characters in the user identifier are broken up and reorganized according to a preset rule. As yet another example, at least one target bit in the user identification may be determined, and characters of each target bit may be extracted in a preset order to obtain summary information. The method of generating the summary information is not limited to the above, and other settings may be made as needed.
In some alternative implementations of the present embodiment, the screen capture operation for the problem interface of the application may be triggered in a variety of ways. As an example, the screen capture operation may be actively triggered by the user. When page loading fails, abnormal error reporting and other conditions occur, a user can actively screen capture a problem interface. In addition, when the application runs wrong, the screen capturing operation can be automatically triggered. At this time, the user may be further prompted whether to allow the screen capture to be uploaded, and after the user permission is obtained, the subsequent steps may be performed.
In some optional implementations of this embodiment, after detecting the screen capturing operation of the problem interface for the application, the executing body may perform the blurring process on the privacy related information in the problem interface to obtain the original screen capturing image. Specifically, the problem interface image may be first intercepted after detecting the screen capturing operation for the problem interface of the application. The content in the problem interface image can be identified by text recognition technology, and the privacy-related information in the problem interface can be determined by natural language understanding technology (for example, by training a text classification model to identify whether the category of the text in each region in the problem interface image is a privacy category, the privacy-related information in the problem interface can be determined). Privacy-related information may include, but is not limited to, user identification, identity information, age, photos, and the like. And finally, the privacy-related information can be subjected to fuzzy processing to obtain an original screen capturing image. The blurring process may include, but is not limited to, mosaic process, blurring process, and the like. Therefore, the privacy of the user can be further ensured not to be revealed.
Step 102, converting the abstract information into frequency domain noise, and adding the frequency domain noise to the original screen capturing image to obtain a blind watermark screen capturing image.
In this embodiment, the execution subject may use a picture steganography (Image Steganography) technique to convert the summary information into frequency domain noise, and add the frequency domain noise to the original screen capture image, so as to obtain the blind watermark screen capture image. The picture steganography technology is a technology for hiding secret information in a public picture, and can hide some information which is wanted to be hidden deliberately or information which proves identity and copyright in an image by utilizing the characteristics of an image file.
In some optional implementations of this embodiment, the blind watermark screenshot image may be obtained specifically as follows: first, fourier transform is performed on an original screen capture image to obtain a frequency domain diagram. Then, the summary information is added to the frequency domain map as frequency domain noise. And finally, carrying out inverse Fourier transform on the frequency domain graph added with the abstract information to obtain a blind watermark screen capturing image. In image processing, the time domain is understood as a spatial domain, and the processing object is the image itself. The frequency domain is a coordinate system used for describing characteristics of signals in terms of frequency, and the horizontal axis is frequency, and the vertical axis is amplitude of the frequency signals. The image may be converted from the spatial domain to the frequency domain by fourier transformation. The image can be restored from the frequency domain to the spatial domain by inverse fourier transform.
The abstract information is added to the original screen capturing image in a frequency domain noise mode, so that the obtained screen capturing image is a blind watermark image, the abstract information is displayed in a non-plaintext mode, and the privacy protection effect is achieved.
And step 103, feeding back the blind watermark screen capturing image to a development end so that the development end analyzes and obtains abstract information, and positioning the problems of the application based on the abstract information.
In this embodiment, the execution subject may feed back the blind watermark screenshot image to the development end, so that the development end analyzes and obtains summary information, and performs problem location on the application based on the summary information. The development end can adopt an inverse operation mode, and firstly analyzes the blind watermark screen capturing image to obtain abstract information; acquiring a user identifier of a user based on the abstract information; and finally, based on the user identification, acquiring related information (such as user behavior data, application version information, equipment version information, screen capturing time and the like) for problem positioning, so that the problem positioning is performed on the application based on the acquired information.
When the blind watermark screen capturing image is analyzed, fourier transformation can be adopted to convert the blind watermark screen capturing image into a spectrogram, and abstract information is read from the spectrogram. When the user identification is obtained based on the abstract information, if the abstract information is obtained through an encryption algorithm, the user identification can be restored by adopting a corresponding decryption algorithm. If the summary information is obtained through some preset reorganization rules, the user identification can be restored by adopting corresponding inverse operation. In addition, the user identifier can also be queried from a server side for supporting the application. By means of the user identification, the user identity can be determined, and accordingly relevant information (such as user behavior data, application version information, equipment version information, screen capturing time and the like) for problem positioning can be accurately traced.
In some optional implementations of this embodiment, the executing entity may further upload the blind watermark screenshot image to a third party platform (such as a social platform, a forum platform, etc.), so as to feed the blind watermark screenshot image back to the development end through the third party platform. In this scenario, although the screen shot image may be widely spread, it may be ensured that the user privacy is not compromised because it does not contain the user identification in the form of a plaintext watermark. In addition, because the added content in the blind watermark screen capturing image is summary information instead of user identification, even if the blind watermark screen capturing image is analyzed by other people, the user identification cannot be determined, so that the user identity cannot be determined, and the privacy of the user is further ensured not to be revealed.
According to the method provided by the embodiment of the application, after the screen capturing operation of the problem interface aiming at the application is detected, the original screen capturing image and the abstract information of the user identification are obtained, then the abstract information is converted into frequency domain noise and added to the original screen capturing image to obtain the blind watermark screen capturing image, and finally the blind watermark screen capturing image is fed back to the development end, so that a developer can analyze and obtain the abstract information, and problem positioning is carried out on the application based on the abstract information. On one hand, the summary information can effectively represent the user identity, so that a developer can effectively locate the user identity, and the difficulty of problem location of the developer is reduced. On the other hand, the user identification is replaced by the abstract information, and the abstract information is not displayed in the plaintext, so that the privacy protection effect is achieved.
With further reference to FIG. 2, a flow 200 of yet another embodiment of a problem feedback method is shown. The process 200 of the problem feedback method includes the steps of:
step 201, after detecting the screen capturing operation of the problem interface for the application, acquiring an original screen capturing image and abstract information of the user identification.
Step 201 in this embodiment can be referred to 101 in the corresponding embodiment of fig. 1, and will not be described here again.
In some optional implementations of the present embodiment, the problem interface image may be specifically obtained as follows: first, after detecting a screen capturing operation of a problem interface for an application, a problem interface image is captured. Then, identifying the content in the problem interface image, and determining privacy-related information in the problem interface; and finally, carrying out fuzzy processing on the privacy related information to obtain an original screen capturing image.
Step 202, screen capturing related information containing user identification and abstract information is sent to a service end for supporting the application.
In this embodiment, after detecting the screen capturing operation of the problem interface for the application, the execution body of the problem feedback method may further send screen capturing related information including the user identifier and the summary information to the server for supporting the application. Because the server is used for supporting the application, the server can interact with the application in real time to store related data. Every time the user executes a screen capturing operation in the application using process, a group of screen capturing related information can be recorded.
In some examples, the screen capture related information further includes at least one of: device information, application version information, user behavior data, screen capture time, system version information.
And 203, converting the abstract information into frequency domain noise, and adding the frequency domain noise to the original screen capturing image to obtain a blind watermark screen capturing image.
Step 203 in this embodiment may be referred to as 102 in the corresponding embodiment of fig. 1, and will not be described here again.
In some optional implementations of this embodiment, the blind watermark screenshot image may be obtained specifically as follows: first, fourier transform is performed on an original screen capture image to obtain a frequency domain diagram. Then, the summary information is added to the frequency domain map as frequency domain noise. And finally, carrying out inverse Fourier transform on the frequency domain graph added with the abstract information to obtain a blind watermark screen capturing image. In image processing, the time domain is understood as a spatial domain, and the processing object is the image itself. The frequency domain is a coordinate system used for describing characteristics of signals in terms of frequency, and the horizontal axis is frequency, and the vertical axis is amplitude of the frequency signals. The image may be converted from the spatial domain to the frequency domain by fourier transformation. The image can be restored from the frequency domain to the spatial domain by inverse fourier transform.
Step 204, feeding back the blind watermark screen capturing image to the development end, so that the development end performs problem positioning on the application through the following steps: analyzing the blind watermark screen capturing image to restore and obtain abstract information; and inquiring the related information of the screen capturing from the server based on the abstract information, and positioning the problems of the application based on the related information of the screen capturing.
In this embodiment, the execution subject may feed back the blind watermark screenshot image to the development end, so that the development end analyzes and obtains summary information, and performs problem location on the application based on the summary information.
The development end can adopt an inverse operation mode, and firstly analyzes the blind watermark screen capturing image to obtain abstract information; and then inquiring the related information of the screen capturing from the server based on the abstract information, and positioning the problems of the application based on the related information of the screen capturing.
When the related information of the screen capturing is queried from the server, the related information of the screen capturing received in the server can be queried by taking the abstract information as a keyword. If the keyword is included in the related information of a certain screen capturing, and the screen capturing time is matched with the time information of the screen capturing image of the blind watermark (if the time interval is smaller than a preset threshold value), problem positioning can be performed on the application based on the related information of the screen capturing. Specifically, the application may be problem-located based on one or more of device information, application version information, user behavior data, screen capture time, system version information in the screen capture related information.
In some optional implementations of this embodiment, the executing entity may further upload the blind watermark screenshot image to a third party platform (such as a social platform, a forum platform, etc.), so as to feed the blind watermark screenshot image back to the development end through the third party platform. In this scenario, although the screen shot image may be widely spread, it may be ensured that the user privacy is not compromised because it does not contain the user identification in the form of a plaintext watermark. In addition, because the added content in the blind watermark screen capturing image is summary information instead of user identification, even if the blind watermark screen capturing image is analyzed by other people, the user identification cannot be determined, so that the user identity cannot be determined, and the privacy of the user is further ensured not to be revealed.
After the screen capturing operation of the problem interface aiming at the application is detected, screen capturing related information comprising user identification and abstract information is sent to a server side for supporting the application so as to be queried by a development side. Therefore, the development end is not required to trace back the screen capturing related information from other channels, and the problem positioning efficiency and the accuracy of the screen capturing related information are improved.
With further reference to fig. 3, as an implementation of the method shown in the foregoing figures, the present application provides an embodiment of a problem feedback apparatus, which corresponds to the method embodiment shown in fig. 1, and which is particularly applicable to various electronic devices.
As shown in fig. 3, the problem feedback device 300 according to the present embodiment includes: an obtaining unit 301 configured to obtain an original screenshot image and summary information of a user identifier after detecting a screenshot operation of a problem interface for an application; an adding unit 302, configured to convert the summary information into frequency domain noise, and add the frequency domain noise to the original screen capturing image to obtain a blind watermark screen capturing image; and the feedback unit 303 is configured to feed back the blind watermark screen capturing image to a development end, so that the development end analyzes and obtains the abstract information, and performs problem positioning on the application based on the abstract information.
In some optional implementations of this embodiment, the adding unit 302 is further configured to: performing Fourier transform on the original screen capturing image to obtain a frequency domain diagram; adding the abstract information as frequency domain noise to the frequency domain map; and carrying out inverse Fourier transform on the frequency domain graph added with the abstract information to obtain a blind watermark screen capturing image.
In some optional implementations of this embodiment, the feedback unit 303 is further configured to: uploading the blind watermark screen capturing image to a third party platform, and feeding the blind watermark screen capturing image back to a development end through the third party platform.
In some optional implementations of this embodiment, the apparatus further includes: a transmitting unit configured to record screen capturing related information including the user identification and the summary information, and transmit the screen capturing related information to a server for supporting the application; and the development end performs problem positioning on the application through the following steps: analyzing the blind watermark screen capturing image to restore and obtain the abstract information; and searching and inquiring the related information of the screen capturing from the server based on the abstract information, and positioning the problems of the application based on the related information of the screen capturing.
In some optional implementations of this embodiment, at least one of the following items is further included in the screen capturing related information: device information, application version information, user behavior data, screen capture time, system version information.
In some optional implementations of this embodiment, the summary information is obtained by: determining at least one target bit in the user identification; and extracting characters of each target bit according to a preset sequence, and generating abstract information of the user identification.
In some optional implementations of this embodiment, the acquiring unit 301 is further configured to: after detecting the screen capturing operation of the problem interface aiming at the application, capturing a problem interface image; identifying the content in the problem interface image, and determining privacy-related information in the problem interface; and carrying out fuzzy processing on the privacy related information to obtain an original screen capturing image.
According to the device provided by the embodiment of the application, after the screen capturing operation of the problem interface aiming at the application is detected, the original screen capturing image and the abstract information of the user identification are obtained, then the abstract information is converted into frequency domain noise and added to the original screen capturing image to obtain the blind watermark screen capturing image, and finally the blind watermark screen capturing image is fed back to the development end, so that a developer can analyze and obtain the abstract information, and problem positioning is carried out on the application based on the abstract information. On one hand, the summary information can effectively represent the user identity, so that a developer can effectively locate the user identity, and the difficulty of problem location of the developer is reduced. On the other hand, the user identification is replaced by the abstract information, and the abstract information is not displayed in the plaintext, so that the privacy protection effect is achieved.
Fig. 4 is a block diagram illustrating an apparatus 400 for feeding back a problem, which apparatus 400 may be a smart terminal or a server, according to an exemplary embodiment. For example, apparatus 400 may be a mobile phone, computer, digital broadcast terminal, messaging device, game console, tablet device, medical device, exercise device, personal digital assistant, or the like.
Referring to fig. 4, apparatus 400 may include one or more of the following components: a processing component 402, a memory 404, a power supply component 406, a multimedia component 408, an audio component 410, an input/output (I/O) interface 412, a sensor component 414, and a communication component 416.
The processing component 402 generally controls the overall operation of the apparatus 400, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing element 402 may include one or more processors 420 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 402 can include one or more modules that facilitate interaction between the processing component 402 and other components. For example, the processing component 402 may include a multimedia module to facilitate interaction between the multimedia component 408 and the processing component 402.
Memory 404 is configured to store various types of data to support operations at apparatus 400. Examples of such data include instructions for any application or method operating on the apparatus 400, contact data, phonebook data, messages, pictures, videos, and the like. The memory 404 may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
The power supply component 406 provides power to the various components of the apparatus 400. The power supply components 406 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the apparatus 400.
The multimedia component 408 includes a screen that provides an output interface between the device 400 and the user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only a boundary of a touch or a sliding action but also a duration and a pressure related to the touch or the sliding operation. In some embodiments, the multimedia component 408 includes a front camera and/or a rear camera. The front camera and/or the rear camera may receive external multimedia data when the device 400 is in an operational mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.
The audio component 410 is configured to output and/or input audio signals. For example, the audio component 410 includes a Microphone (MIC) configured to receive external audio signals when the apparatus 400 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 404 or transmitted via the communication component 416. In some embodiments, audio component 410 further includes a speaker for outputting audio signals.
The I/O interface 412 provides an interface between the processing component 402 and peripheral interface modules, which may be a keyboard, click wheel, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.
The sensor assembly 414 includes one or more sensors for providing status assessment of various aspects of the apparatus 400. For example, the sensor assembly 414 may detect the on/off state of the device 400, the relative positioning of the components, such as the display and keypad of the apparatus 400, the sensor assembly 414 may also detect the change in position of the apparatus 400 or one component of the apparatus 400, the presence or absence of user contact with the apparatus 400, the orientation or acceleration/deceleration of the apparatus 400, and the change in temperature of the apparatus 400. The sensor assembly 414 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact. The sensor assembly 414 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 414 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 416 is configured to facilitate communication between the apparatus 400 and other devices in a wired or wireless manner. The apparatus 400 may access a wireless network based on a communication standard, such as WiFi,2G or 3G, or a combination thereof. In one exemplary embodiment, the communication component 416 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component 416 described above further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 400 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic elements for executing the methods described above.
In an exemplary embodiment, a non-transitory computer-readable storage medium is also provided, such as memory 404, including instructions executable by processor 420 of apparatus 400 to perform the above-described method. For example, the non-transitory computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
Fig. 5 is a schematic diagram of a server in some embodiments of the present application. The server 500 may vary considerably in configuration or performance and may include one or more central processing units (central processing units, CPU) 522 (e.g., one or more processors) and memory 532, one or more storage media 530 (e.g., one or more mass storage devices) storing applications 542 or data 544. Wherein memory 532 and storage medium 530 may be transitory or persistent. The program stored in the storage medium 530 may include one or more modules (not shown), each of which may include a series of instruction operations on a server. Still further, the central processor 522 may be configured to communicate with a storage medium 530 and execute a series of instruction operations in the storage medium 530 on the server 500.
The server 500 may also include one or more power supplies 526, one or more wired or wireless network interfaces 550, one or more input/output interfaces 558, one or more keyboards 556, and/or one or more operating systems 541, such as Windows ServerTM, mac OS XTM, unixTM, linuxTM, freeBSDTM, etc.
A non-transitory computer readable storage medium, which when executed by a processor of an apparatus (smart terminal or server) causes the apparatus to perform a problem feedback method, the method comprising: after detecting the screen capturing operation of the problem interface aiming at the application, acquiring an original screen capturing image and abstract information of a user identifier; converting the abstract information into frequency domain noise, and adding the frequency domain noise to the original screen capturing image to obtain a blind watermark screen capturing image; and feeding the blind watermark screen capturing image back to a development end so that the development end analyzes and obtains the abstract information, and positioning the problems of the application based on the abstract information.
Optionally, the converting the summary information into frequency domain noise and adding the frequency domain noise to the original screen capturing image to obtain a blind watermark screen capturing image includes: performing Fourier transform on the original screen capturing image to obtain a frequency domain diagram; adding the abstract information to the frequency domain map as frequency domain noise; and carrying out inverse Fourier transform on the frequency domain graph added with the abstract information to obtain a blind watermark screen capturing image.
Optionally, the feeding back the blind watermark screen capturing image to a development end includes: uploading the blind watermark screen capturing image to a third party platform, and feeding the blind watermark screen capturing image back to a development end through the third party platform.
Optionally, the device is configured to execute the one or more programs by one or more processors including instructions for: sending screen capturing related information containing the user identification and the abstract information to a server side for supporting the application; and the development end performs problem positioning on the application by the following steps: analyzing the blind watermark screen capturing image to restore and obtain the abstract information; and inquiring the related information of the screen capturing from the server based on the abstract information, and positioning the problems of the application based on the related information of the screen capturing.
Optionally, the screen capturing related information further includes at least one of the following: device information, application version information, user behavior data, screen capture time, system version information.
Optionally, the summary information is obtained by the following steps: determining at least one target bit in the user identification; and extracting characters of each target bit according to a preset sequence, and generating abstract information of the user identification.
Optionally, the summary information is obtained by the following steps: and encrypting the user identifier through an encryption algorithm to obtain abstract information of the user identifier.
Optionally, after detecting the screen capturing operation of the problem interface for the application, acquiring an original screen capturing image includes: after detecting the screen capturing operation of the problem interface aiming at the application, capturing a problem interface image; identifying the content in the problem interface image and determining privacy related information in the problem interface; and carrying out fuzzy processing on the privacy related information to obtain an original screen capturing image.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the present application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
The foregoing description of the preferred embodiments is provided for the purpose of illustration only, and is not intended to limit the invention to the particular embodiments disclosed, but on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.
The foregoing has outlined the detailed description of the method and apparatus for problem feedback and the apparatus for problem feedback provided herein, and the detailed description has been given herein of the principles and embodiments of the present application with the application of specific examples, the above description of examples being only intended to assist in the understanding of the method and core idea of the present application; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims (15)

1. The problem feedback method is characterized by being applied to a user side, and comprises the following steps:
after detecting the screen capturing operation of the problem interface aiming at the application, acquiring an original screen capturing image and abstract information of a user identifier;
converting the abstract information into frequency domain noise, and adding the frequency domain noise to the original screen capturing image to obtain a blind watermark screen capturing image;
and feeding the blind watermark screen capturing image back to a development end so that the development end analyzes and obtains the abstract information, and positioning the problems of the application based on the abstract information.
2. The method of claim 1, wherein said converting said summary information to frequency domain noise and adding to said original screen capture image to obtain a blind watermark screen capture image comprises:
performing Fourier transform on the original screen capturing image to obtain a frequency domain diagram;
adding the abstract information to the frequency domain map as frequency domain noise;
and carrying out inverse Fourier transform on the frequency domain graph added with the abstract information to obtain a blind watermark screen capturing image.
3. The method according to claim 1, wherein feeding back the blind watermark screen capture image to a development terminal comprises:
uploading the blind watermark screen capturing image to a third party platform, and feeding the blind watermark screen capturing image back to a development end through the third party platform.
4. The method of claim 1, wherein upon detecting a screen capture operation of a problem interface for an application, the method further comprises:
sending screen capturing related information containing the user identification and the abstract information to a server side for supporting the application;
and the development end performs problem positioning on the application by the following steps:
analyzing the blind watermark screen capturing image to restore and obtain the abstract information;
and inquiring the related information of the screen capturing from the server based on the abstract information, and positioning the problems of the application based on the related information of the screen capturing.
5. The method of claim 4, wherein the screen capturing related information further comprises at least one of: device information, application version information, user behavior data, screen capture time, system version information.
6. The method according to claim 1, wherein the summary information is obtained by:
determining at least one target bit in the user identification;
and extracting characters of each target bit according to a preset sequence, and generating abstract information of the user identification.
7. The method according to claim 1, wherein the summary information is obtained by:
and encrypting the user identifier through an encryption algorithm to obtain abstract information of the user identifier.
8. The method of claim 1, wherein the acquiring the original screenshot image after detecting the screenshot operation for the problem interface of the application comprises:
after detecting the screen capturing operation of the problem interface aiming at the application, capturing a problem interface image;
identifying the content in the problem interface image and determining privacy related information in the problem interface;
and carrying out fuzzy processing on the privacy related information to obtain an original screen capturing image.
9. A problem feedback device, the device comprising:
the acquisition unit is configured to acquire an original screen capturing image and abstract information of a user identifier after detecting a screen capturing operation of a problem interface for an application;
an adding unit configured to convert the summary information into frequency domain noise, and add the frequency domain noise to the original screen capturing image to obtain a blind watermark screen capturing image;
and the feedback unit is configured to feed the blind watermark screen capturing image back to a development end so that the development end analyzes and obtains the abstract information and performs problem positioning on the application based on the abstract information.
10. The apparatus of claim 9, wherein the adding unit is further configured to:
performing Fourier transform on the original screen capturing image to obtain a frequency domain diagram;
adding the abstract information to the frequency domain map as frequency domain noise;
and carrying out inverse Fourier transform on the frequency domain graph added with the abstract information to obtain a blind watermark screen capturing image.
11. The apparatus of claim 9, wherein the feedback unit is further configured to:
uploading the blind watermark screen capturing image to a third party platform, and feeding the blind watermark screen capturing image back to a development end through the third party platform.
12. The apparatus of claim 9, wherein the apparatus further comprises:
a transmitting unit configured to record screen capturing related information including the user identification and the summary information, and transmit the screen capturing related information to a server for supporting the application;
and the development end performs problem positioning on the application by the following steps:
analyzing the blind watermark screen capturing image to restore and obtain the abstract information;
and searching and inquiring the related information of the screen capturing from the server based on the abstract information, and positioning the problems of the application based on the related information of the screen capturing.
13. The apparatus of claim 12, wherein the screen capture related information further comprises at least one of: device information, application version information, user behavior data, screen capture time, system version information.
14. An apparatus for feedback problems, comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory, which when executed by one or more processors, implement the steps of the method of any of claims 1-8.
15. A computer readable medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any of claims 1-8.
CN202111276260.8A 2021-10-29 2021-10-29 Problem feedback method and device for feeding back problem Pending CN116071214A (en)

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Application Number Priority Date Filing Date Title
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