CN110853650A - Image information acquisition method and image information acquisition device - Google Patents
Image information acquisition method and image information acquisition device Download PDFInfo
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- CN110853650A CN110853650A CN201911195446.3A CN201911195446A CN110853650A CN 110853650 A CN110853650 A CN 110853650A CN 201911195446 A CN201911195446 A CN 201911195446A CN 110853650 A CN110853650 A CN 110853650A
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/04—Scanning arrangements, i.e. arrangements for the displacement of active reading or reproducing elements relative to the original or reproducing medium, or vice versa
Abstract
The disclosure relates to an image information acquisition method, an apparatus, an electronic device and a storage medium, the method comprising: scanning an image; identifying the image to obtain an identification of the image; receiving voice; recognizing the voice to determine the semantic meaning of the voice; determining a vocabulary corresponding to information needing to be acquired in the semantics under the condition that the semantics is associated with the image; information associated with the identity and vocabulary is obtained. According to the embodiment of the disclosure, on one hand, when a user needs to acquire information of an image, only the image needs to be scanned and voice is input, the image does not need to be stored, and the image does not need to be uploaded to a server; on the other hand, only the information required by the user can be acquired, and a large amount of information not required by the user can not be fed back, so that the occupation of communication resources is reduced.
Description
Technical Field
The present disclosure relates to the field of display technologies, and in particular, to an image information acquisition method, an image information acquisition apparatus, an electronic device, and a storage medium.
Background
In the related art, when a user needs to obtain information of a certain image, the image in the device needs to be uploaded to a server, and the server feeds back the information related to the image.
On one hand, the method for acquiring the image information is relatively poor in pertinence, because the information fed back by the server is information on all aspects of the image, and the user may only need to acquire information on some aspect of the image, so that the user receives a large amount of unnecessary information, and waste of communication resources is caused; on the other hand, this method requires the user to upload the image to the server through the device, and thus the device is required to store the image in advance, which occupies the storage space of the device.
Disclosure of Invention
The present disclosure provides an image information acquisition method, an image information acquisition apparatus, an electronic device, and a storage medium to solve the disadvantages in the related art.
According to a first aspect of the embodiments of the present disclosure, there is provided an image information acquiring method, including:
scanning an image;
identifying the image to obtain an identification of the image;
receiving voice;
recognizing the speech to determine semantics of the speech;
determining a vocabulary corresponding to information needing to be acquired in the semantics under the condition that the semantics are associated with the image;
information associated with the identity and the vocabulary is obtained.
Optionally, before scanning the image, the method further comprises:
receiving an instruction to start an image scanning unit for scanning an image;
and starting the image scanning unit and starting a voice receiving unit for receiving the voice.
Optionally, before recognizing the speech to determine the semantics of the speech, the method further comprises:
determining whether the voice contains a word which is the same as a preset word;
and under the condition that the voice contains words and phrases which are the same as preset words and phrases, recognizing the voice to determine the semanteme of the voice.
Optionally, before determining a vocabulary corresponding to information that needs to be acquired in the semantics, the method further includes:
determining whether the semantic meaning includes the logo or a vocabulary for referring to the image;
wherein if the semantic meaning includes the identifier or a vocabulary for referring to the image, determining that the semantic meaning is associated with the image.
Optionally, the recognizing the image to obtain the identifier of the image includes:
sending the image and a request for identifying the image to a server, and receiving an identifier of the image sent by the server; and/or
The recognizing the speech to determine the semantics of the speech comprises:
and sending the voice and the request for recognizing the voice to a server, and receiving the semantic meaning of the voice sent by the server.
According to a second aspect of the embodiments of the present disclosure, there is provided an image information acquisition apparatus including:
an image scanning unit for scanning an image;
the image identification unit is used for identifying the image to acquire an identifier of the image;
a voice receiving unit for receiving a voice;
a voice recognition unit for recognizing the voice to determine the semantic meaning of the voice;
the vocabulary determining unit is used for determining the vocabulary corresponding to the information needing to be acquired in the semantics under the condition that the semantics is associated with the image;
and the information acquisition unit is used for acquiring information associated with the identification and the vocabulary.
Optionally, the apparatus further comprises:
an instruction receiving unit for receiving an instruction to start an image scanning unit for scanning an image;
and the starting control module is used for starting the image scanning unit and starting the voice receiving unit for receiving the voice.
Optionally, the apparatus further comprises:
the same determining module is used for determining whether the voice contains the vocabulary which is the same as the preset vocabulary;
the voice recognition unit is used for recognizing the voice under the condition that the voice contains words which are the same as preset words so as to determine the semanteme of the voice.
Optionally, the apparatus further comprises:
a vocabulary determining unit for determining whether the semantic meaning contains the logo or a vocabulary for referring to the image;
wherein if the semantic meaning includes the identifier or a vocabulary for referring to the image, determining that the semantic meaning is associated with the image.
Optionally, the image recognition unit is configured to send the image and a request for recognizing the image to a server, and receive an identifier of the image sent by the server; and/or the voice recognition unit is used for sending the voice and the request for recognizing the voice to a server and receiving the semantics of the voice sent by the server.
According to a third aspect of the embodiments of the present disclosure, there is provided an electronic device, including a processor configured to implement the image information acquiring method according to any one of the embodiments.
According to a fourth aspect of the embodiments of the present disclosure, there is provided a storage medium, wherein instructions, when executed by a processor of an electronic device, enable the electronic device to execute the image information acquisition method according to any one of the embodiments
According to the embodiment of the disclosure, the scanned image can be recognized, and the semantic meaning of the voice can be recognized to determine the information about the image which needs to be acquired by the user, and then the information about the image is acquired according to the identification of the image and the vocabulary corresponding to the information which needs to be acquired and displayed to the user. Therefore, on one hand, when the user needs to acquire the information of the image, the user only needs to scan the image and input the voice without storing the image or uploading the image to the server; on the other hand, only the information required by the user can be acquired, and a large amount of information not required by the user can not be fed back, so that the occupation of communication resources is reduced.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a schematic flow chart illustrating an image information acquisition method according to an embodiment of the present disclosure.
Fig. 2 is a schematic flow chart diagram illustrating another image information acquisition method according to an embodiment of the present disclosure.
Fig. 3 is a schematic flow chart diagram illustrating yet another image information acquisition method according to an embodiment of the present disclosure.
Fig. 4 is a schematic flow chart diagram illustrating yet another image information acquisition method according to an embodiment of the present disclosure.
Fig. 5 is a schematic flow chart diagram illustrating yet another image information acquisition method according to an embodiment of the present disclosure.
Fig. 6 is a schematic flow chart diagram illustrating yet another image information acquisition method according to an embodiment of the present disclosure.
Fig. 7 is a schematic block diagram illustrating an image information acquisition apparatus according to an embodiment of the present disclosure.
Fig. 8 is a schematic block diagram illustrating another image information acquisition apparatus according to an embodiment of the present disclosure.
Fig. 9 is a schematic block diagram illustrating yet another image information acquisition apparatus according to an embodiment of the present disclosure.
Fig. 10 is a schematic block diagram illustrating still another image information acquisition apparatus according to an embodiment of the present disclosure.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
Fig. 1 is a schematic flow chart illustrating an image information acquisition method according to an embodiment of the present disclosure. The image information acquiring method shown in this embodiment may be applied to electronic devices, including but not limited to mobile phones, tablet computers, wearable devices, personal computers, notebook computers, and the like.
An image scanning unit, such as a lens, may be provided on the electronic device to scan an image; a voice receiving unit may also be provided at the electronic device for receiving voice, such as a microphone.
As shown in fig. 1, the image information acquisition method may include the steps of:
step S1, scanning an image; the scanned image is not a captured image, and for example, the lens scanned image may be turned on, but the image is captured without pressing the shutter.
Step S2, recognizing the image to obtain the image mark;
step S3, receiving voice;
step S4, recognizing the voice to determine the semantic meaning of the voice;
step S5, determining the vocabulary corresponding to the information needing to be acquired in the semantic meaning under the condition that the semantic meaning is associated with the image;
step S6, obtaining information associated with the identity and the vocabulary.
In one embodiment, the image may be identified by scanning the image to obtain an identification of the image, where the identification of the image may be a name, a number, or the like of the image. In turn, speech, such as the user's voice, may be received and recognized to determine the semantics of the speech.
Then, whether the semantic meaning of the voice is associated with the image or not can be judged, wherein whether the semantic meaning of the voice comprises the identifier of the image or the vocabulary used for referring to the image or not can be judged, and if the semantic meaning of the voice comprises the identifier or the vocabulary used for referring to the image, the semantic meaning is determined to be associated with the image.
For example, if the identification of the image is the name of the image "smile of Mona Lisa," then it may be determined whether the semantic meaning includes the word "smile of Mona Lisa," and if so, it is determined that the semantic meaning is associated with the image. In addition to determining whether the semantic meaning contains an identification of the image, it may also be determined whether the semantic meaning contains a word that is used to refer to the image, where the word that refers to the image includes, but is not limited to, "the picture," "the figure," and so forth.
Furthermore, in the case that the semantic meaning is associated with the image, a word corresponding to the information to be acquired may be determined in the semantic meaning, where the word corresponding to the information to be acquired may be a word in the semantic meaning that is related to the image in a semantic meaning, for example, may be a word located after the identifier of the image and connected to the identifier of the image through a "word", and may specifically be determined according to the recognized semantic meaning.
For example, the voice input by the user is "who the author of the smile of Mona Lisa is", it can be determined that the word "author" is located behind the identifier "smile of Mona Lisa" of the image and connected with the identifier of the image through the "word", thereby determining "author", i.e., the word corresponding to the information determined to need to be obtained in the semantic meaning.
And then, information associated with the identifier and the vocabulary can be acquired, wherein the identifier corresponds to the image, and the vocabulary corresponds to information to be acquired, so that according to the identifier and the vocabulary, the information of the image which needs to be acquired by the user can be determined, and further, related information of the image can be inquired and displayed. The obtaining of the information associated with the identifier and the vocabulary may be performed locally (for example, on the electronic device), or the identifier and the vocabulary may be uploaded to a server and performed by the server, and the server returns the obtained information locally.
According to the embodiment of the disclosure, the scanned image can be recognized, and the semantic meaning of the voice can be recognized to determine the information about the image which needs to be acquired by the user, and then the information about the image is acquired according to the identification of the image and the vocabulary corresponding to the information which needs to be acquired and displayed to the user. Therefore, on one hand, when the user needs to acquire the information of the image, the user only needs to scan the image and input the voice without storing the image or uploading the image to the server; on the other hand, only the information required by the user can be acquired, and a large amount of information not required by the user can not be fed back, so that the occupation of communication resources is reduced.
Fig. 2 is a schematic flow chart diagram illustrating another image information acquisition method according to an embodiment of the present disclosure. As shown in fig. 2, before scanning the image, the method further comprises:
a step S7 of receiving an instruction to start an image scanning unit for scanning an image;
step S8, the image scanning unit is activated, and the voice receiving unit for receiving the voice is activated.
In one embodiment, the user may input an instruction to the electronic device to activate the image scanning unit, for example, by clicking a physical key or a virtual key in the screen, or by voice to activate the image scanning unit to scan an image. Meanwhile, when the image scanning unit is started, the voice receiving unit can be synchronously started to receive voice. Therefore, the two units of the image scanning unit and the voice receiving unit can be started based on an instruction input by a user, and the complexity of user operation is favorably reduced.
Fig. 3 is a schematic flow chart diagram illustrating yet another image information acquisition method according to an embodiment of the present disclosure. As shown in fig. 3, before recognizing the speech to determine the semantics of the speech, the method further comprises:
step S9, determining whether the voice contains the same vocabulary as the preset vocabulary;
in the case that the speech includes a word that is the same as a preset word, step S4 is executed to recognize the speech to determine the semantic meaning of the speech.
In one embodiment, after receiving the speech, before recognizing the speech, it may be determined whether the speech includes a word that is the same as a predetermined word, wherein, regarding determining whether the speech includes a word that is the same as the predetermined word, it is not necessary to perform semantic recognition on the speech, but only by comparing audio characteristics of the speech and the predetermined word, and in this process, it is not necessary to activate the speech recognition unit, and when the speech includes a word that is the same as the predetermined word, the speech recognition unit is activated to recognize the speech to determine the semantic of the speech.
For example, the preset vocabulary may be "art", and after receiving the speech, it may be determined whether the speech includes the word "art", for example, the received speech includes the word "art", and the speech recognition unit is activated, thereby advantageously avoiding unnecessary recognition of the speech of the user due to the early activation of the semantic recognition unit.
Fig. 4 is a schematic flow chart diagram illustrating yet another image information acquisition method according to an embodiment of the present disclosure. As shown in fig. 4, before determining the vocabulary corresponding to the information that needs to be obtained in the semantics, the method further includes:
step S10, determining whether the semantic meaning contains the logo or a vocabulary for referring to the image;
wherein if the semantic meaning includes the identifier or a vocabulary for referring to the image, determining that the semantic meaning is associated with the image.
In one embodiment, it may be determined whether the semantic meaning of the voice includes the identifier of the image or the word used to refer to the image, and if the semantic meaning of the voice includes the identifier or the word used to refer to the image, the semantic meaning is determined to be associated with the image, and then step S5 is performed, whereas if the semantic meaning of the voice does not include the identifier or the word used to refer to the image, the semantic meaning may not be determined to be associated with the image, and then step S5 may not be performed.
For example, if the identification of the image is the name of the image "smile of Mona Lisa," then it may be determined whether the semantic meaning includes the word "smile of Mona Lisa," and if so, it is determined that the semantic meaning is associated with the image. In addition to determining whether the semantic meaning contains an identification of the image, it may also be determined whether the semantic meaning contains a word that is used to refer to the image, where the word that refers to the image includes, but is not limited to, "the picture," "the figure," and so forth.
Fig. 5 is a schematic flow chart diagram illustrating yet another image information acquisition method according to an embodiment of the present disclosure. As shown in fig. 5, the recognizing the image to obtain the identifier of the image includes:
step S201, sending the image and a request for identifying the image to a server, and receiving an identifier of the image sent by the server; and/or
The recognizing the speech to determine the semantics of the speech comprises:
step S401, sending the voice and the request for recognizing the voice to a server, and receiving the semantic meaning of the voice sent by the server.
In one embodiment, the operation of recognizing the image to obtain the identifier of the image may be performed locally, or the image may be sent to a server, the server recognizes the image to determine the identifier of the image, and then returns the recognized identifier locally. The operation of recognizing the voice to determine the semantics can be executed locally, or the voice can be sent to a server, the server recognizes the voice to recognize the semantics of the voice, and then the recognized semantics are returned locally.
The server is used for determining the identification of the image and recognizing the semantic meaning of the voice, so that the operation required to be executed by the local electronic equipment can be reduced, and the reduction of the operation load of the local electronic equipment is facilitated.
Fig. 6 is a schematic flow chart diagram illustrating yet another image information acquisition method according to an embodiment of the present disclosure.
In one embodiment, the user can use the electronic device to scan an image on the one hand and input speech according to the information about the image that he or she needs to obtain on the other hand. The electronic equipment can recognize the scanned image to obtain the identification of the image, can perform semantic analysis on the received voice to determine the semantic meaning of the voice, can determine the vocabulary corresponding to the information needing to be obtained by the user in the semantic meaning under the condition that the semantic meaning is associated with the image, then obtains the information associated with the identification of the image and the vocabulary, and can display the obtained information in a scanning interface so that the user can look up the information which is needed to be obtained and is related to the image.
The present disclosure also proposes an embodiment of an image information acquisition apparatus corresponding to the image information acquisition method described in the above embodiment.
Fig. 7 is a schematic block diagram illustrating an image information acquisition apparatus according to an embodiment of the present disclosure. The image information acquiring apparatus shown in this embodiment may be applied to electronic devices, including but not limited to mobile phones, tablet computers, wearable devices, personal computers, notebook computers, and the like.
As shown in fig. 7, the image information acquiring apparatus may include:
an image scanning unit 1 for scanning an image;
an image recognition unit 2, configured to recognize the image to obtain an identifier of the image;
a voice receiving unit 3 for receiving voice;
a speech recognition unit 4 for recognizing the speech to determine the semantics of the speech;
a vocabulary determining unit 5, configured to determine a vocabulary corresponding to information to be acquired in the semantic meaning when the semantic meaning is associated with the image;
an information obtaining unit 6, configured to obtain information associated with the identifier and the vocabulary.
Fig. 8 is a schematic block diagram illustrating another image information acquisition apparatus according to an embodiment of the present disclosure. Such as
As shown in fig. 8, the apparatus further comprises:
an instruction receiving unit 7 for receiving an instruction to start an image scanning unit for scanning an image;
and the starting control module 8 is used for starting the image scanning unit and starting a voice receiving unit for receiving the voice.
Fig. 9 is a schematic block diagram illustrating yet another image information acquisition apparatus according to an embodiment of the present disclosure. Such as
As shown in fig. 9, the apparatus further comprises:
the same determining module 9 is used for determining whether the voice contains the vocabulary which is the same as the preset vocabulary;
the speech recognition unit 4 is configured to recognize the speech to determine a semantic meaning of the speech when the speech includes a vocabulary identical to a preset vocabulary.
Fig. 10 is a schematic block diagram illustrating still another image information acquisition apparatus according to an embodiment of the present disclosure. As shown in fig. 10, the apparatus further includes:
a vocabulary determining unit 10 for determining whether the semantics comprise the logo or a vocabulary for referring to the image;
wherein if the semantic meaning includes the identifier or a vocabulary for referring to the image, determining that the semantic meaning is associated with the image.
Optionally, the image recognition unit is configured to send the image and a request for recognizing the image to a server, and receive an identifier of the image sent by the server; and/or the voice recognition unit is used for sending the voice and the request for recognizing the voice to a server and receiving the semantics of the voice sent by the server.
An embodiment of the present disclosure further provides an electronic device, which includes a processor configured to implement the image information obtaining method according to any of the above embodiments.
Embodiments of the present disclosure also provide a storage medium, where instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to execute the image information acquiring method according to any of the above embodiments.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, and 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 modules can be selected according to actual needs to achieve the purpose of the disclosed solution. One of ordinary skill in the art can understand and implement it without inventive effort.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure 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 disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (12)
1. An image information acquisition method characterized by comprising:
scanning an image;
identifying the image to obtain an identification of the image;
receiving voice;
recognizing the speech to determine semantics of the speech;
determining a vocabulary corresponding to information needing to be acquired in the semantics under the condition that the semantics are associated with the image;
information associated with the identity and the vocabulary is obtained.
2. The method of claim 1, wherein prior to scanning the image, the method further comprises:
receiving an instruction to start an image scanning unit for scanning an image;
and starting the image scanning unit and starting a voice receiving unit for receiving the voice.
3. The method of claim 1, wherein prior to recognizing the speech to determine the semantics of the speech, the method further comprises:
determining whether the voice contains a word which is the same as a preset word;
and under the condition that the voice contains words and phrases which are the same as preset words and phrases, recognizing the voice to determine the semanteme of the voice.
4. The method of claim 1, wherein before determining the vocabulary corresponding to the information to be obtained in the semantic, the method further comprises:
determining whether the semantic meaning includes the logo or a vocabulary for referring to the image;
wherein if the semantic meaning includes the identifier or a vocabulary for referring to the image, determining that the semantic meaning is associated with the image.
5. The method of claim 1, wherein the identifying the image to obtain an identification of the image comprises:
sending the image and a request for identifying the image to a server, and receiving an identifier of the image sent by the server; and/or
The recognizing the speech to determine the semantics of the speech comprises:
and sending the voice and the request for recognizing the voice to a server, and receiving the semantic meaning of the voice sent by the server.
6. An image information acquisition apparatus characterized by comprising:
an image scanning unit for scanning an image;
the image identification unit is used for identifying the image to acquire an identifier of the image;
a voice receiving unit for receiving a voice;
a voice recognition unit for recognizing the voice to determine the semantic meaning of the voice;
the vocabulary determining unit is used for determining the vocabulary corresponding to the information needing to be acquired in the semantics under the condition that the semantics is associated with the image;
and the information acquisition unit is used for acquiring information associated with the identification and the vocabulary.
7. The apparatus of claim 6, further comprising:
an instruction receiving unit for receiving an instruction to start an image scanning unit for scanning an image;
and the starting control module is used for starting the image scanning unit and starting the voice receiving unit for receiving the voice.
8. The apparatus of claim 6, further comprising:
the same determining module is used for determining whether the voice contains the vocabulary which is the same as the preset vocabulary;
the voice recognition unit is used for recognizing the voice under the condition that the voice contains words which are the same as preset words so as to determine the semanteme of the voice.
9. The apparatus of claim 6, further comprising:
a vocabulary determining unit for determining whether the semantic meaning contains the logo or a vocabulary for referring to the image;
wherein if the semantic meaning includes the identifier or a vocabulary for referring to the image, determining that the semantic meaning is associated with the image.
10. The apparatus according to claim 6, wherein the image recognition unit is configured to send the image and a request for recognizing the image to a server, and receive an identifier of the image sent by the server; and/or the voice recognition unit is used for sending the voice and the request for recognizing the voice to a server and receiving the semantics of the voice sent by the server.
11. An electronic device, characterized by comprising a processor configured to implement the image information acquisition method of any one of claims 1 to 5.
12. A storage medium characterized in that instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the image information acquisition method according to any one of claims 1 to 5.
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