CN108805818A - Content big data dense degree analysis method - Google Patents
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- 230000002708 enhancing effect Effects 0.000 claims description 9
- 230000008859 change Effects 0.000 claims description 7
- 238000007689 inspection Methods 0.000 claims description 5
- 230000003628 erosive effect Effects 0.000 claims description 2
- 230000005059 dormancy Effects 0.000 claims 1
- 238000005259 measurement Methods 0.000 description 4
- 238000001931 thermography Methods 0.000 description 4
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Classifications
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- G06T5/90—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/12—Picture reproducers
- H04N9/31—Projection devices for colour picture display, e.g. using electronic spatial light modulators [ESLM]
- H04N9/3141—Constructional details thereof
- H04N9/3173—Constructional details thereof wherein the projection device is specially adapted for enhanced portability
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- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
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- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
Abstract
The present invention relates to a kind of content big data dense degree analysis methods, entropy the method includes the content-data for using content-data dense degree analysis platform to be played based on current phone, the dense degree for determining corresponding content-data, to further determine whether to carry out projection of the projection device to content-data.
Description
Technical field
The present invention relates to big data analysis field more particularly to a kind of content big data dense degree analysis methods.
Background technology
Complicated applications (management cloud service, management grid, promotes science or treatment patient etc. at supervision performance center) are all
It may require the process of application management mass data well-formed.For example, for Service Level Agreement (SLA) accordance for
It is key request for many cloud operations.This accordance may require to the continuous monitoring of key performance metrics and predictive diagnosis
Ability is provided in violation of rules and regulations, or when violation occurs with detecting imminent SLA in violation of rules and regulations so that operation can evade SLA
Faster Resolving probiems.The operation of these clouds may must be monitored, diagnosed and be managed in the private clound of operator and/or client, public affairs
Have data center in cloud and mixed cloud, network, server machine, virtual machine, operating system, database, middleware, using etc.
Millions of a hardware and software components.
Conventional information technology (IT) operation reactive fault detect and manual diagnostic techniques may excessively labour intensive, need
Want extensive domain-specific knowledge and respond may too late, so as to cause the major part for being related to restarting systems rather than every
From disproportionate response with reparation faulty components, and it is properly scaling possibly can not to be directed to cloud.Effective cloud system operation
The continuous measurement to important vital sign, time series analysis, multi-variable system state model, system may be needed to respond mould
Type, predictive abnormality detection, classifying based on machine learning, automatically diagnosis and prognosis (prognosis), decision support and various
Control ability.
Invention content
To solve the above-mentioned problems, the present invention provides a kind of content big data dense degree analysis method, can with
When excessively intensive content is watched at family, the degree of fatigue due to be easy to causeing user's eye aggravates, using projection device to content
The projection of data, wherein in order to effectively detect excessively intensive content, also customized corresponding image preprocessing mechanism and figure
As testing mechanism, to provide high-precision reference data for the switching of projection device.
For this purpose, the present invention has following three important inventive points：
(1) entropy of the content-data played based on current phone, determines the dense degree of corresponding content-data, with into one
Step determines whether to carry out projection of the projection device to content-data, to avoid user from watching excessively intensive content, in raising
Hold the visuality played；
(2) redundancy based on the form and aspect component value of each pixel in image, luma component values and saturation degree component value
The analysis and judgement of degree determine each composition pixel of target region, to ensure that the precision of succeeding target detection；
(3) the pixel value preliminary statistical result based on image progressive pixel, the image implementation dynamics big to variation degree
Big contrast enhancement processing, to ensure that the contrast enhancing effect to different images content.
According to an aspect of the present invention, a kind of content big data dense degree analysis method is provided, the method includes
Using content-data dense degree analysis platform with the entropy of the content-data played based on current phone, corresponding content number is determined
According to dense degree, to further determine whether to carry out projection of the projection device to content-data, the intensive journey of content-data
Spending analysis platform includes：
Content capture equipment is arranged on mobile phone, for capturing the currently playing content of a mobile phone every preset time,
To be exported as object content data；
Density analysis equipment is connect with the target acquistion equipment, for receiving the object content data, and is based on institute
The dense degree that object content data judge content is stated, to be exported as object content density；Wherein, the density analysis equipment
Judge that the dense degree of content includes based on the object content data：The entropy of the object content data is bigger, the target
The dense degree of content-data is bigger；
State switching equipment is connect with the density analysis equipment, for receiving the object content density, and described
When object content density is more than or equal to pre-set density threshold value, working condition switching signal is sent out, is additionally operable in the object content
When density is less than the pre-set density threshold value, dormant state switching signal is sent out；
Camera assembly is arranged on mobile phone, is connect with the state switching equipment, for receiving the working condition
When switching signal, starts the camera operation carried out to the front of mobile phone and be additionally operable to obtaining fore direction photographing image receiving
When stating dormant state switching signal, stop the camera operation being carried out to the front of mobile phone；
Change degree initial survey equipment, connect with the camera assembly, for receiving the fore direction photographing image, using on to
Under mode the saltus step degree of every a line pixel average value is analyzed, to obtain each saltus step row, by each saltus step row
Line number as initial survey variation line number output.
Description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein：
Fig. 1 is the projection according to the projection device of the content-data dense degree analysis platform shown in embodiment of the present invention
Simulation drawing.
Specific implementation mode
Embodiment of the present invention is described in detail below with reference to accompanying drawings.
Projecting apparatus be it is a kind of the profile of workpiece is amplified using optical element, and the optics instrument being projected on shadow screen
Device.It can make profile measurement with transmitted light, it is also possible to the surface shape and observation piece surface of reflected light measurement blind hole.Projection
The particularly suitable measurement complex outline of instrument and tiny workpiece, as clock and watch part, punching parts, electronic component, model, mold, screw thread,
Gear and molding cutter etc., checkability is high, easy to use；It is widely used in measuring room, workshop, to instrument and meter and clock
Table row industry is especially suitable.Projecting apparatus can be connected by the different same computers of interface, VCD, DVD, BD, game machine, DV etc.
Play corresponding vision signal.
It is general for currently used mobile phone frequency and time since projecting apparatus has the low advantage of safety and environmental protection, extent of injury
Indiscriminate present situation, projecting apparatus are a kind of effective alternative patterns, however, mobile phone broadcasting also has the characteristics that clarity is high, therefore, what
When to switch be current problem with balanced various interests.
In order to overcome above-mentioned deficiency, the present invention to build a kind of content big data dense degree analysis method, the method
Entropy including the content-data for using content-data dense degree analysis platform to be played based on current phone is determined in corresponding
The dense degree for holding data, to further determine whether to carry out projection of the projection device to content-data, the content-data is close
Collection degree analyzing platform effectively reduces the eye strain degree of mobile phone user.
Fig. 1 is the projection according to the projection device of the content-data dense degree analysis platform shown in embodiment of the present invention
Simulation drawing.
The content-data dense degree analysis platform shown according to an embodiment of the present invention includes：
Content capture equipment is arranged on mobile phone, for capturing the currently playing content of a mobile phone every preset time,
To be exported as object content data；
Density analysis equipment is connect with the target acquistion equipment, for receiving the object content data, and is based on institute
The dense degree that object content data judge content is stated, to be exported as object content density；Wherein, the density analysis equipment
Judge that the dense degree of content includes based on the object content data：The entropy of the object content data is bigger, the target
The dense degree of content-data is bigger；
State switching equipment is connect with the density analysis equipment, for receiving the object content density, and described
When object content density is more than or equal to pre-set density threshold value, working condition switching signal is sent out, is additionally operable in the object content
When density is less than the pre-set density threshold value, dormant state switching signal is sent out；
Camera assembly is arranged on mobile phone, is connect with the state switching equipment, for receiving the working condition
When switching signal, starts the camera operation carried out to the front of mobile phone and be additionally operable to obtaining fore direction photographing image receiving
When stating dormant state switching signal, stop the camera operation being carried out to the front of mobile phone；
Change degree initial survey equipment, connect with the camera assembly, for receiving the fore direction photographing image, using on to
Under mode the saltus step degree of every a line pixel average value is analyzed, to obtain each saltus step row, by each saltus step row
Line number as initial survey variation line number output；
Contrast enhances equipment, is connect with the change degree initial survey equipment, for receiving the fore direction photographing image and institute
Initial survey variation line number is stated, and contrast enhancement processing is executed to the fore direction photographing image based on initial survey variation line number, with
It obtains and exports contrast enhancing image；
Pixel value obtains equipment, is connect with contrast enhancing equipment, for obtaining in the contrast enhancing image
Form and aspect component value, luma component values and the saturation degree component value of each pixel；
Redundancy computing device obtains equipment with the pixel value and connect, the form and aspect component for receiving each pixel
Value, luma component values and saturation degree component value carry out redundancy to the form and aspect component value of each pixel and judge to be somebody's turn to do to determine
Whether pixel is form and aspect component redundant sub-pixels point, and carrying out redundancy to the luma component values of each pixel judges with determination
Whether the pixel is luminance component redundant sub-pixels point, to the saturation degree component value of each pixel carry out redundancy judge with
Determine whether the pixel is saturation degree component redundant sub-pixels point；
Pixel judges equipment, is connect with the redundancy computing device, belongs to form and aspect component redundancy for working as pixel
When any two type in pixel, luminance component redundant sub-pixels point and saturation degree component redundant sub-pixels point, the pixel is judged
Point is pending pixel；
Personnel inspection equipment judges that equipment is connect with the pixel, for the contrast to be enhanced to the institute in image
Pixel to be handled is formed by pattern and successively carries out Image erosion processing and image expansion processing, to obtain figure to be identified
Case detects and whether there is owner's feature in the pattern to be identified, and when there are owner's feature, sends out owner and uses signal,
Otherwise, other people are sent out and uses signal；
Projection device is connect with the personnel inspection equipment, for receive the owner using signal when, to mobile phone
Currently playing content carries out projection in time, be additionally operable to receive it is described other people use signal when, mobile phone is currently broadcast in stopping
The projection in time for the content put.
Then, continue to carry out further the concrete structure of the data-intensive degree analyzing platform of present disclosure
It is bright.
In the content-data dense degree analysis platform：
In the density analysis equipment, the entropy of the object content data is bigger, the object content data it is intensive
Degree is bigger to include：When the object content data are video type data, the resolution ratio of the video type data is bigger,
The entropy of the object content data is bigger, and the dense degree of the object content data is bigger.
Can also include in the content-data dense degree analysis platform：
Compact Flash is arranged on mobile phone, is connect with the state switching equipment, for storing the pre-set density threshold
Value.
In the content-data dense degree analysis platform：
Type of the pre-set density threshold value based on object content data be different and different, each object content data pair
Answer a pre-set density threshold value.
In the content-data dense degree analysis platform：
In the contrast enhances equipment, comparison is executed to the fore direction photographing image based on initial survey variation line number
Degree enhancing, which is handled, includes：The initial survey variation line number is more, and the dynamics of the contrast enhancement processing of execution is bigger.
In the content-data dense degree analysis platform：
Redundancy is carried out to the form and aspect component value of each pixel to judge to determine whether the pixel is form and aspect component
Redundant sub-pixels point includes：It determines the pixel region of the preset shape centered on the pixel, is based on the pixel region
The form and aspect component value of interior all pixels point determines whether the pixel is form and aspect component redundant sub-pixels point.
In the content-data dense degree analysis platform：
Redundancy is carried out to the luma component values of each pixel to judge to determine whether the pixel is luminance component
Redundant sub-pixels point includes：It determines the pixel region of the preset shape centered on the pixel, is based on the pixel region
The luma component values of interior all pixels point determine whether the pixel is luminance component redundant sub-pixels point.
And in the content-data dense degree analysis platform：
Redundancy is carried out to the saturation degree component value of each pixel to judge to determine whether the pixel is saturation degree
Component redundant sub-pixels point includes：It determines the pixel region of the preset shape centered on the pixel, is based on the pixel
The saturation degree component value of all pixels point determines whether the pixel is saturation degree component redundant sub-pixels point in region.
In addition, the camera assembly can also include infrared thermal imaging unit, it is infrared for being carried out under dark environment
Line thermal imaging.
Wherein, due to the presence of black body radiation, any object all externally carries out electromagenetic wave radiation according to the difference of temperature.Wave
A length of 2.0 to 1000 microns of part is known as Thermal Infra-Red.Thermal infrared imaging by the sensitive CCD of thermal infrared to object carry out at
Picture can reflect the temperature field of body surface.Thermal infrared has widely in military affairs, industry, automobile assistant driving, medical domain
Using.
Infrared thermal imaging principle is not mysterious, is analyzed from physics principle, and human body is exactly the outer spoke of a natural bio-red
Source is penetrated, can constantly emit and absorb infra-red radiation to surrounding.The Temperature Distribution of normal human has certain stability and spy
Sign property, each spot temperature of body is different, forms different thermal fields.When disease or function, which occur, for human body somewhere changes, at this
Blood flow can accordingly change, and cause body local temperature to change, show as temperature drift or relatively low.According to this principle,
Human infrared radiation is acquired by thermal imaging system, and is converted to digital signal, pseudo- color thermal map is formed, is set using dedicated analysis
It is standby, it can be provided for each application field such as human bioequivalence and medical-therapeutic treatment of human body conveniently.
Content-data dense degree analysis platform using the present invention, for viewing in the prior art with overstocked content
Mobile phone easily causes the technical issues of eye strain aggravation, by the entropy of the content-data played based on current phone, determines and corresponds to
Content-data dense degree, to further determine whether to carry out projection of the projection device to content-data, to avoid using
Excessively intensive content is watched at family, improves the visuality that content plays, wherein the form and aspect also based on each pixel in image
The analysis and judgement of the redundancy of component value, luma component values and saturation degree component value determine each group of target region
It is imaged vegetarian refreshments, to ensure that the precision of succeeding target detection, and the pixel value rough estimates based on image progressive pixel
As a result, the contrast enhancement processing that the image implementation dynamics big to variation degree is big, to realize the intensive journey of content-data
The high-precision of degree identifies.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, every content without departing from technical solution of the present invention is right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (8)
1. a kind of content big data dense degree analysis method, the method includes using content-data dense degree analysis platform
Entropy with the content-data played based on current phone, determines the dense degree of corresponding content-data, is to further determine that
The no projection for carrying out projection device to content-data, the content-data dense degree analysis platform include：
Content capture equipment is arranged on mobile phone, for capturing the currently playing content of a mobile phone every preset time, to make
It is exported for object content data；
Density analysis equipment is connect with the target acquistion equipment, for receiving the object content data, and is based on the mesh
Mark content-data judges the dense degree of content, to be exported as object content density；Wherein, the density analysis equipment is based on
The object content data judge that the dense degree of content includes：The entropy of the object content data is bigger, the object content
The dense degree of data is bigger；
State switching equipment is connect with the density analysis equipment, for receiving the object content density, and in the target
When content density is more than or equal to pre-set density threshold value, working condition switching signal is sent out, is additionally operable in the object content density
When less than the pre-set density threshold value, dormant state switching signal is sent out；
Camera assembly is arranged on mobile phone, is connect with the state switching equipment, for receiving the working condition switching
When signal, start the camera operation carried out to the front of mobile phone, to obtain fore direction photographing image, is additionally operable to receiving described stop
When dormancy state switching signal, stop the camera operation being carried out to the front of mobile phone；
Change degree initial survey equipment, connect with the camera assembly, for receiving the fore direction photographing image, using from top to bottom
Mode analyzes the saltus step degree of every a line pixel average value, to obtain each saltus step row, by the row of each saltus step row
Number is as initial survey variation line number output；
Contrast enhance equipment, connect with the change degree initial survey equipment, for receive the fore direction photographing image and it is described at the beginning of
Inspection variation line number, and contrast enhancement processing is executed to the fore direction photographing image based on initial survey variation line number, to obtain
And export contrast enhancing image；
Pixel value obtains equipment, is connect with contrast enhancing equipment, each in the contrast enhancing image for obtaining
Form and aspect component value, luma component values and the saturation degree component value of a pixel；
Redundancy computing device obtains equipment with the pixel value and connect, the form and aspect component value, bright for receiving each pixel
Component value and saturation degree component value are spent, carrying out redundancy to the form and aspect component value of each pixel judges to determine the pixel
Whether it is form and aspect component redundant sub-pixels point, carrying out redundancy to the luma component values of each pixel judges to determine the pixel
Whether point is luminance component redundant sub-pixels point, and carrying out redundancy to the saturation degree component value of each pixel judges to be somebody's turn to do to determine
Whether pixel is saturation degree component redundant sub-pixels point；
Pixel judges equipment, is connect with the redundancy computing device, belongs to form and aspect component redundant sub-pixels for working as pixel
When any two type in point, luminance component redundant sub-pixels point and saturation degree component redundant sub-pixels point, judge that the pixel is
Pending pixel；
Personnel inspection equipment judges that equipment is connect with the pixel, is needed for enhancing the contrast in image
Processing pixel is formed by pattern and successively carries out Image erosion processing and image expansion processing, to obtain pattern to be identified,
It detects and whether there is owner's feature in the pattern to be identified, and when there are owner's feature, send out owner and use signal, it is no
Then, other people are sent out and uses signal；
Projection device is connect with the personnel inspection equipment, for receive the owner using signal when, it is current to mobile phone
The content of broadcasting carries out projection in time, be additionally operable to receive it is described other people use signal when, stop currently playing to mobile phone
The projection in time of content.
2. the method as described in claim 1, it is characterised in that：
In the density analysis equipment, the entropy of the object content data is bigger, the dense degree of the object content data
It is bigger to include：When the object content data are video type data, the resolution ratio of the video type data is bigger, described
The entropy of object content data is bigger, and the dense degree of the object content data is bigger.
3. method as claimed in claim 2, which is characterized in that the platform further includes：
Compact Flash is arranged on mobile phone, is connect with the state switching equipment, for storing the pre-set density threshold value.
4. method as claimed in claim 3, it is characterised in that：
Type of the pre-set density threshold value based on object content data is different and different, each object content data corresponds to one
A pre-set density threshold value.
5. content and method as claimed in claim 4, it is characterised in that：
In the contrast enhances equipment, contrast is executed to the fore direction photographing image based on initial survey variation line number and is increased
It manages strength：The initial survey variation line number is more, and the dynamics of the contrast enhancement processing of execution is bigger.
6. method as claimed in claim 5, it is characterised in that：
Redundancy is carried out to the form and aspect component value of each pixel to judge to determine whether the pixel is form and aspect component redundancy
Pixel includes：The pixel region for determining the preset shape centered on the pixel, based on institute in the pixel region
There is the form and aspect component value of pixel to determine whether the pixel is form and aspect component redundant sub-pixels point.
7. method as claimed in claim 6, it is characterised in that：
Redundancy is carried out to the luma component values of each pixel to judge to determine whether the pixel is luminance component redundancy
Pixel includes：The pixel region for determining the preset shape centered on the pixel, based on institute in the pixel region
There are the luma component values of pixel to determine whether the pixel is luminance component redundant sub-pixels point.
8. the method for claim 7, it is characterised in that：
Redundancy is carried out to the saturation degree component value of each pixel to judge to determine whether the pixel is saturation degree component
Redundant sub-pixels point includes：It determines the pixel region of the preset shape centered on the pixel, is based on the pixel region
The saturation degree component value of interior all pixels point determines whether the pixel is saturation degree component redundant sub-pixels point.
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