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CN106126574A - The recognition methods of picture, system and Internet of Things picture pick-up device - Google Patents

The recognition methods of picture, system and Internet of Things picture pick-up device Download PDF

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Publication number
CN106126574A
CN106126574A CN201610439398.8A CN201610439398A CN106126574A CN 106126574 A CN106126574 A CN 106126574A CN 201610439398 A CN201610439398 A CN 201610439398A CN 106126574 A CN106126574 A CN 106126574A
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CN
China
Prior art keywords
picture
audio frequency
mapping ruler
recognition methods
fingerprint parameter
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201610439398.8A
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Chinese (zh)
Inventor
冯俊秋
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SHENZHEN SEWISE TECHNOLOGIES Co Ltd
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SHENZHEN SEWISE TECHNOLOGIES Co Ltd
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Priority to CN201610439398.8A priority Critical patent/CN106126574A/en
Publication of CN106126574A publication Critical patent/CN106126574A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/40Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
    • G06F16/43Querying
    • G06F16/432Query formulation
    • G06F16/434Query formulation using image data, e.g. images, photos, pictures taken by a user

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Multimedia (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Collating Specific Patterns (AREA)
  • Image Input (AREA)

Abstract

The invention discloses the recognition methods of a kind of picture, system and Internet of Things picture pick-up device, what it was preferred for child paints sound reader, this recognition methods comprises the following steps: obtaining mapping ruler, described mapping ruler is the rule of correspondence of at least one picture fingerprint parameter and at least one audio frequency;Obtain a picture;Described picture is processed to obtain a picture fingerprint parameter according to preset rules;Corresponding audio frequency is obtained by described picture fingerprint parameter according to described mapping ruler;The described audio frequency of correspondence is play while identifying described picture.The recognition methods that the present invention provides, pre-sets the mapping ruler of picture and audio frequency, so after processing picture according to pre-defined rule, can obtain corresponding background audio voluntarily, so arranges audio background for picture more convenient, and program is relatively simple.

Description

The recognition methods of picture, system and Internet of Things picture pick-up device
Technical field
The present invention relates to picture Processing Technique, be specifically related to the recognition methods of a kind of picture, system and Internet of Things shooting and set Standby.
Background technology
Picture presentation sees on all kinds of intelligent terminal with display screen widely, in prior art, and picture presentation flow process Generally: intelligent terminal obtains a picture, and picture is displayed by intelligent terminal by display screen.
In some picture presentation occasions, need synchronize to mix background audio for picture, as being various picture in museum Mixing and introduce audio frequency, the most U.S. figure mixes background light music that style agrees with etc. when showing.In prior art During for picture configuration audio frequency, needing with corresponding audio frequency, picture is fabricated to video, video playback is broadcast while exhibiting pictures Playback frequency.
Being in place of the deficiencies in the prior art, picture and audio frequency need to be fabricated to video in advance just can complete background audio Making, production process is complex.
Summary of the invention
It is an object of the invention to provide the recognition methods of a kind of picture, system and Internet of Things picture pick-up device, existing to solve The weak point that in technology, the production process of picture background audio frequency is complex.
To achieve these goals, the present invention provides following technical scheme:
The recognition methods of a kind of picture, comprises the following steps:
Obtaining mapping ruler, described mapping ruler is at least one picture fingerprint parameter rule corresponding with at least one audio frequency Then;
Obtain a picture;
Described picture is processed to obtain a picture fingerprint parameter according to preset rules;
Corresponding audio frequency is obtained by described picture fingerprint parameter according to described mapping ruler;
The described audio frequency of correspondence is play while identifying described picture.
The recognition methods of above-mentioned picture, each described audio frequency is respectively provided with an allocation index, and described mapping ruler includes described Picture fingerprint parameter is corresponding with the second of described audio frequency with first rule of correspondence of described allocation index and described allocation index Rule.
The recognition methods of above-mentioned picture, described audio frequency is positioned at high in the clouds, and described allocation index is located locally.
The recognition methods of above-mentioned picture, the step of described acquisition one picture includes:
A photo is obtained by sensitive chip.
The recognition methods of above-mentioned picture, described obtain the step of a photo by sensitive chip and includes:
A photo is obtained by sensitive chip;
From described photo, a picture is intercepted with image processing algorithm.
The recognition methods of above-mentioned picture, described according to preset rules process described picture to obtain a picture fingerprint parameter Step include:
Described picture is processed to obtain a Hash character string according to perception hash algorithm.
The recognition methods of above-mentioned picture, described mapping ruler includes: according to picture, picture fingerprint parameter and Hash character String calculates the Hamming distance with each described audio frequency;
The audio frequency that each described Hamming distance intermediate value reckling is corresponding is the audio frequency that described picture is corresponding.
A kind of identification system of picture, including:
Mapping ruler acquisition module, is used for obtaining mapping ruler, and described mapping ruler is at least one picture fingerprint parameter The rule of correspondence with at least one audio frequency;
Picture acquisition module, for obtaining a picture;
Picture processing module, for processing described picture to obtain a picture fingerprint parameter according to preset rules;
Audio frequency acquisition module, for obtaining corresponding sound according to described mapping ruler by described picture fingerprint parameter Frequently;
Display module, plays the described audio frequency of correspondence while identifying described picture.
The identification system of above-mentioned picture, also includes:
Networking module, is used for connecting the Internet.
A kind of Internet of Things picture pick-up device, described Internet of Things picture pick-up device is provided with above-mentioned identification system.
In technique scheme, the recognition methods that the present invention provides, pre-set the mapping ruler of picture and audio frequency, as This is after processing picture according to pre-defined rule, can obtain corresponding background audio voluntarily, so sets for picture Putting audio background more convenient, program is relatively simple.
Owing to above-mentioned recognition methods has above-mentioned technique effect, it is achieved the identification system of this recognition methods also should have accordingly Technique effect.
Owing to above-mentioned identification system has above-mentioned technique effect, the Internet of Things picture pick-up device including this identification system also should have There is corresponding technique effect.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present application or technical scheme of the prior art, below will be to institute in embodiment The accompanying drawing used is needed to be briefly described, it should be apparent that, the accompanying drawing in describing below is only described in the present invention A little embodiments, for those of ordinary skill in the art, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
The FB(flow block) of the recognition methods of the picture that Fig. 1 provides for the embodiment of the present invention;
The structured flowchart of the identification system of the picture that Fig. 2 provides for the embodiment of the present invention.
Description of reference numerals:
1, mapping ruler acquisition module;2, picture acquisition module;3, picture processing module;4, audio frequency acquisition module;5, exhibition Show module;6, networking module.
Detailed description of the invention
In order to make those skilled in the art be more fully understood that technical scheme, below in conjunction with accompanying drawing to this Bright it is further detailed.
As it is shown in figure 1, the recognition methods of a kind of picture of embodiment of the present invention offer, comprise the following steps:
101, obtaining mapping ruler, what described mapping ruler was at least one picture fingerprint parameter with at least one audio frequency is right Should rule.
Concrete, mapping ruler is the rule of correspondence of picture fingerprint parameter and audio frequency, and picture fingerprint parameter is according to presetting The rule parameter to obtaining after picture processing, preset rules is identical with the preset rules in subsequent step 103 herein, and detailed description sees below Literary composition, between picture fingerprint parameter and audio frequency, mapping ruler can be man-to-man rule, and i.e. one picture fingerprint parameter is final A corresponding audio frequency;As an optional embodiment, mapping ruler can also many-to-one mapping ruler, the most multiple not Same picture fingerprint parameter is corresponding to same audio frequency;Mapping ruler can also is that the rule of one-to-many, i.e. one picture fingerprint ginseng The corresponding multiple audio frequency of number.
In the present embodiment, mapping ruler pre-sets according to actual demand, and it can be the introductory audio frequency to picture, as Painting sound reader for child, every page of reader all has an introductory audio frequency, and and for example in museum, the picture of displaying is respectively provided with introduction Audio frequency, adds a literal name (picture fingerprint parameter) for each picture, carries out one_to_one corresponding by introducing audio frequency with literal name;Very Obvious, mapping ruler can also is that other all kinds of rules that can carry out target audio frequency with picture being mapped.
In the present embodiment, as preferably, each described audio frequency is respectively provided with an allocation index, and described mapping ruler includes described Picture fingerprint parameter is corresponding with the second of described audio frequency with first rule of correspondence of described allocation index and described allocation index There is in rule, i.e. mapping ruler the further rule of correspondence, each audio storage in a server, each picture fingerprint parameter with The allocation index of audio storage is corresponding, finds audio frequency by allocation index, and the advantage being arranged such is, audio frequency and picture can set Being placed on different equipment, as audio frequency is positioned at high in the clouds, allocation index is located locally, and is so substantially reduced identification system itself Storage pressure.
During picture presentation, identification system obtains in advance or installs mapping ruler, as mapping ruler is designed as software program, Corresponding software program installed by video camera.
102, a picture is obtained.
Concrete, identify that system obtains target picture, as directly shot picture by photographic head, or outreach interface from The Internet or miscellaneous equipment obtain picture.
103, described picture is processed to obtain a picture fingerprint parameter according to preset rules.
Concrete, after the system that identifies obtains picture, according to preset rules process picture to obtain picture fingerprint parameter, preset Rule determines according to the actual requirements, and as an optional embodiment, preset rules is perception hash algorithm (being called for short PHA), Picture fingerprint parameter is Hash character string, and the advantage of perception hash algorithm is, its result (Hash character string) is not because of picture Gao Kuan, brightness even color and change, and picture processing speed is exceedingly fast, and so shoots same paintings when different photographic head Time, when there is fluctuation within the specific limits in the external environment such as light, pixel, the Hash character obtained by perception hash algorithm Go here and there identical.
Those skilled in the art will appreciate that preset rules determines according to the actual requirements in addition to perception hash algorithm, It can be any rule that picture can be processed.
104, corresponding audio frequency is obtained according to described mapping ruler by described picture fingerprint parameter.
Concrete, according to the picture fingerprint parameter obtained, according to default mapping ruler, can obtain and set Audio frequency, such as above-mentioned preferred real-time mode, each picture obtains a Hash character string after treatment, according to picture, picture fingerprint ginseng Number and Hash character string calculate the Hamming distance with each described audio frequency, are ranked up obtaining minimum therein to each Hamming distance Value, audio frequency corresponding to minima is the audio frequency that picture is corresponding..
105, the described audio frequency of correspondence is play while identifying picture.
Concrete, identify the display screen exhibiting pictures of system, synchronization, identify that the speech ciphering equipment of system plays audio frequency, as This achieves the synchronous interaction of picture and audio frequency.As painted sound reader for child, shot by mobile phone or other terminal unit After the page of reader, the audio frequency corresponding with this page play the most automatically by mobile phone, as started story telling correspondence for child etc..
In the present embodiment, it is preferred that step 102 farther includes:
A photo is obtained by sensitive chip;
From described photo, a picture is intercepted with image processing algorithm.
Concrete, the photo of lens shooting is respectively provided with a certain distance, as taken the photograph in the aspect such as size, brightness and gross data During as head shooting paintings, the environment around paintings inevitably is shot, is now accomplished by being calculated by image procossing by it Paintings are intercepted out by method.
Image processing algorithm has more ripe prior art, and image processing algorithm is not specifically retouched by the present embodiment State.
The recognition methods that the present invention provides, pre-sets the mapping ruler of picture and audio frequency, so according to pre-defined rule After picture is processed, corresponding background audio can be obtained voluntarily, so audio background is set for picture the most square Just, program is relatively simple.
As in figure 2 it is shown, the embodiment of the present invention also provides for the identification system of a kind of picture, including mapping ruler acquisition module 1, Picture acquisition module 2, picture processing module 3, audio frequency acquisition module 4 and display module 5, mapping ruler obtain 1 delivery block for Obtaining mapping ruler, described mapping ruler is the rule of correspondence of at least one picture fingerprint parameter and at least one audio frequency;Picture Acquisition module 2 is for obtaining a picture;Picture processing module 3 is for processing described picture to obtain a picture according to preset rules Fingerprint parameter;Audio frequency acquisition module 4 is for obtaining corresponding according to described mapping ruler by described picture fingerprint parameter Audio frequency;Display module 5 plays the described audio frequency of correspondence while identifying described picture.
Concrete, mapping ruler acquisition module 1, picture acquisition module 2, picture processing module 3, audio frequency acquisition module 4 etc. Can be to process chip accordingly, it is also possible to for Wireless Networking or wired networking module, show that mould 5 pieces is display screen and voice Equipment.
Owing to above-mentioned identification system has above-mentioned technique effect, the Internet of Things picture pick-up device including this identification system also should have There is corresponding technique effect.
In the present embodiment, further, also include networking module 6, be used for connecting the Internet.
The embodiment of the present invention also provides for a kind of Internet of Things picture pick-up device, described Internet of Things picture pick-up device is provided with above-mentioned Identification system.
In technique scheme, owing to above-mentioned recognition methods has above-mentioned technique effect, it is achieved the knowledge of this recognition methods Other system also should have corresponding technique effect.
By the way of explanation, only describe some one exemplary embodiment of the present invention above, undoubtedly, for ability The those of ordinary skill in territory, in the case of without departing from the spirit and scope of the present invention, can be by various different modes to institute The embodiment described is modified.Therefore, above-mentioned accompanying drawing and description are the most illustrative, should not be construed as the present invention The restriction of claims.

Claims (10)

1. the recognition methods of a picture, it is characterised in that comprise the following steps:
Obtaining mapping ruler, described mapping ruler is the rule of correspondence of at least one picture fingerprint parameter and at least one audio frequency;
Obtain a picture;
Described picture is processed to obtain a picture fingerprint parameter according to preset rules;
Corresponding audio frequency is obtained by described picture fingerprint parameter according to described mapping ruler;
The described audio frequency of correspondence is play while identifying described picture.
The recognition methods of picture the most according to claim 1, it is characterised in that each described audio frequency is respectively provided with an address rope Drawing, described mapping ruler includes described picture fingerprint parameter and first rule of correspondence of described allocation index and described address Index and second rule of correspondence of described audio frequency.
The recognition methods of picture the most according to claim 2, it is characterised in that described audio frequency is positioned at high in the clouds, described address Index is located locally.
The recognition methods of picture the most according to claim 1, it is characterised in that the step of described acquisition one picture includes:
A photo is obtained by sensitive chip.
The recognition methods of picture the most according to claim 4, it is characterised in that described obtain a photo by sensitive chip Step include:
A photo is obtained by sensitive chip;
From described photo, a picture is intercepted with image processing algorithm.
The recognition methods of picture the most according to claim 1, it is characterised in that described according to the preset rules described figure of process Sheet includes with the step obtaining a picture fingerprint parameter:
Described picture is processed to obtain a Hash character string according to perception hash algorithm.
The recognition methods of picture the most according to claim 6, it is characterised in that
Described mapping ruler includes: calculate the Hamming with each described audio frequency according to picture, picture fingerprint parameter and Hash character string Distance;
The audio frequency that each described Hamming distance intermediate value reckling is corresponding is the audio frequency that described picture is corresponding.
8. the identification system of a picture, it is characterised in that including:
Mapping ruler acquisition module, is used for obtaining mapping ruler, described mapping ruler be at least one picture fingerprint parameter with extremely The rule of correspondence of a few audio frequency;
Picture acquisition module, for obtaining a picture;
Picture processing module, for processing described picture to obtain a picture fingerprint parameter according to preset rules;
Audio frequency acquisition module, for obtaining corresponding audio frequency according to described mapping ruler by described picture fingerprint parameter;
Display module, plays the described audio frequency of correspondence while identifying described picture.
The identification system of picture the most according to claim 8, it is characterised in that also include:
Networking module, is used for connecting the Internet.
10. an Internet of Things picture pick-up device, it is characterised in that be provided with claim 8-9 on described Internet of Things picture pick-up device and appoint One described identification system.
CN201610439398.8A 2016-06-16 2016-06-16 The recognition methods of picture, system and Internet of Things picture pick-up device Pending CN106126574A (en)

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Application Number Priority Date Filing Date Title
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Application Number Priority Date Filing Date Title
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109766893A (en) * 2019-01-09 2019-05-17 北京数衍科技有限公司 Picture character recognition methods suitable for receipt of doing shopping
CN109791112A (en) * 2017-08-04 2019-05-21 深圳市柔宇科技有限公司 Mura detection method and Mura detection system

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Publication number Priority date Publication date Assignee Title
CN101251881A (en) * 2008-04-07 2008-08-27 华为技术有限公司 Device, system and method for recognizing content
CN103488380A (en) * 2013-09-17 2014-01-01 天脉聚源(北京)传媒科技有限公司 Method and device for displaying information
CN103678293A (en) * 2012-08-29 2014-03-26 百度在线网络技术(北京)有限公司 Data storage method and device
CN104021152A (en) * 2014-05-19 2014-09-03 广州酷狗计算机科技有限公司 Picture display method and device based on audio file playing
CN104318259A (en) * 2014-10-20 2015-01-28 北京齐尔布莱特科技有限公司 Target picture identifying device and method for and computing device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101251881A (en) * 2008-04-07 2008-08-27 华为技术有限公司 Device, system and method for recognizing content
CN103678293A (en) * 2012-08-29 2014-03-26 百度在线网络技术(北京)有限公司 Data storage method and device
CN103488380A (en) * 2013-09-17 2014-01-01 天脉聚源(北京)传媒科技有限公司 Method and device for displaying information
CN104021152A (en) * 2014-05-19 2014-09-03 广州酷狗计算机科技有限公司 Picture display method and device based on audio file playing
CN104318259A (en) * 2014-10-20 2015-01-28 北京齐尔布莱特科技有限公司 Target picture identifying device and method for and computing device

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109791112A (en) * 2017-08-04 2019-05-21 深圳市柔宇科技有限公司 Mura detection method and Mura detection system
CN109766893A (en) * 2019-01-09 2019-05-17 北京数衍科技有限公司 Picture character recognition methods suitable for receipt of doing shopping

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Application publication date: 20161116