CN105611283B - A kind of subjective image effect evaluation method - Google Patents
A kind of subjective image effect evaluation method Download PDFInfo
- Publication number
- CN105611283B CN105611283B CN201510981720.5A CN201510981720A CN105611283B CN 105611283 B CN105611283 B CN 105611283B CN 201510981720 A CN201510981720 A CN 201510981720A CN 105611283 B CN105611283 B CN 105611283B
- Authority
- CN
- China
- Prior art keywords
- scene
- user
- effect
- different
- image effect
- 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.)
- Active
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
Abstract
The invention discloses a kind of subjective image effect evaluation method, it is characterised in that:Comprise the following steps:The first step:Screen the scene of subjective image effect evaluation, and determine the effect weight of each scene, the classification of digital product photographed scene is used according to user, extract typical scene, determine the effect weight of above-mentioned scene, every weight is allocated according to certain principle, and all scene effect weights add up to 100%;Second step:Actual photographed is carried out according to the scene requirement of screening, preserves photo.3rd step:According to the applicable colony of mobile phone, selection carries out the user of subjective assessment, participates in the number of users of evaluation and test to be defined with statistical significance;4th step:Tissue represents user and evaluated and tested;5th step:Data analysis, a kind of subjective image effect evaluation method that the present invention obtains, by selecting different age group, wherein male, women number balance, different occupation background user number balance, quantified intuitively to embody, it is more humane.
Description
Technical field
The present invention relates to a kind of image system, particularly a kind of subjective image effect evaluation method.
Background technology
The camera filmed image effect assessment of the digital products such as mobile phone, on the basis of objective indicator, with the subjective sense of user
Receive direct relation.And the subjective feeling of user has multiple factors influence, including the cultural environment of user, the cognition journey of user
Degree, individual subscriber hobby tendency, age level, sex etc..Same filmed image effect, the subjective assessment of user have differences
Property.Therefore, it is necessary to the subjective image effect evaluation to digital product user carries out quantization embodiment, to instruct digital product image
Effect specific aim is debugged.
The content of the invention
One kind is provided and various bad problems can be entered the invention aims to solve above-mentioned the deficiencies in the prior art
A kind of subjective image effect evaluation method of the analysis of row system.
To achieve these goals, a kind of subjective image effect evaluation method designed by the present invention, it is characterised in that:Bag
Include following steps:The first step:The scene of subjective image effect evaluation is screened, and determines the effect weight of each scene, according to
User uses the classification of digital product photographed scene, extracts typical scene, determines the effect weight of above-mentioned scene, every weight root
It is allocated according to certain principle, all scene effect weights add up to 100%;
Second step:Actual photographed is carried out according to the scene requirement of screening, photo is preserved, according to different typical scenes, by rule
Model requirement is shot, and is preserved photo respectively, more digital product contrasts, is then retained separately and carries out mark.
3rd step:According to the applicable colony of mobile phone, selection carries out the user of subjective assessment, participate in the number of users of evaluation and test with
It is defined with statistical significance, according to the different prospective users colony of digital product, selects representative user, select all ages and classes
Section, wherein male, women number balance, different occupation background user number balance;
4th step:Tissue represents user and evaluated and tested, and the scene photo that the first step, second step are shot, shows in order
User is represented, user is scored according to subjective feeling each scene photo, and is made a record;
5th step:Data analysis
1st, typical comprehensive grading:
(1) each scene is directed to, asks for the grade average of all test users;
(2) by every average value of different scenes, according to effect weight, it is weighted averagely, obtains comprehensive grading;
2nd, data analysis stresses according to difference, there is different analysis paths:
(1) compared according to the scoring of different age group, embody different tendentiousness of the age for image effect subjective assessment;
(2) compared according to the scoring of different occupation crowd, professional background can be embodied for image effect subjective assessment
Influence;
(3) compared according to the scoring of country variant or national crowd, geographical, cultural environment factor can be embodied for shadow
As the effect tendency of effect subjective assessment;
(4) according to different brands mobile phone, flat board, subjective image effect evaluation contrast can be carried out.
A kind of subjective image effect evaluation method that the present invention obtains, by selecting different age group, wherein male, women
Number balances, and different occupation background user number balance, is quantified intuitively to embody, to instruct digital product image effect pin
To property debug, further rationally apply on digital product, it is wide to reach a usability, it is full-featured, using it is convenient can
It is more humane to carry out different settings according to different colonies, it can increase and a key image different built in different groups is set
Function is put, and then lifts the competitive advantage of product.
Embodiment
With reference to embodiment, the present invention is further described.
Embodiment:
A kind of subjective image effect evaluation method that the present embodiment provides, main following operating procedure:
The first step:The scene of subjective image effect evaluation is screened, and determines the effect weight of each scene
1st, the classification of digital product (mobile phone etc.) photographed scene is commonly used according to user, extracts typical scene, such as:Room
Effect is presented in outside-fine day-daytime-different color;Effect is presented in outdoor-fine day-daytime-distant view;Outdoor-fine day-daytime-portrait
Effect is presented;Effect is presented in outdoor-fine day-daytime-backlight;Effect is presented in outdoor-fine day-daytime-anti-light and shade;Outdoor-
Effect is presented in fine day-cloudy day-different color;Effect is presented in outdoor-fine day-cloudy day-distant view;Outdoor-fine day-cloudy day-portrait is in
Existing effect;Effect is presented in outdoor-fine day-dusk-different color;Effect is presented in outdoor-fine day-dusk-distant view;Outdoor-fine day-
Effect is presented at dusk-portrait;Effect is presented in interior-fluorescent lamp-different color;Interior-fluorescent lamp-veiling glare;Interior-dim light-
Effect is presented in object detail;Effect is presented in interior-dim light-portrait;Shooting at close range minimum focal distance.
2nd, the effect weight of above-mentioned scene is determined
Every weight is allocated according to certain principle, and all scene effect weights add up to 100%.
Second step:Actual photographed is carried out according to the scene requirement of screening using mobile phone, preserves photo
According to different typical scenes, shot by code requirement, preserve photo respectively.More mobile phone contrasts, then separate
Preserve and carry out mark.
3rd step:According to the applicable colony of mobile phone, selection carries out the user of subjective assessment, participate in the number of users of evaluation and test with
It is defined with statistical significance
According to the different prospective users colony of mobile phone, representative user is selected.
Such as universality mobile phone, age of user section 15-80 year is selected, wherein 20-45 year suitably increases ratio;Male, female
Property number balance;Different occupation background user number balances.
Such as older mobile phone, age of user section 50-80 year is selected, wherein 50-65 year suitably increases ratio;Male, women
Number balances;Different occupation background user number balances.
Such as education sector flat board, select user to focus primarily upon teacher, student;Age bracket has individual features.
4th step:Tissue represents user and evaluated and tested
The scene photo that the first step, second step are shot, shows represent user in order, user is to each scene photo
Scored, and made a record according to subjective feeling.
5th step:Data analysis
1st, typical comprehensive grading:
(1) each scene is directed to, asks for the grade average of all test users;
(2) by every average value of different scenes, according to effect weight, it is weighted averagely, obtains comprehensive grading.
2nd, data analysis stresses according to difference, there is different analysis paths
For example compared according to the scoring of different age group, difference of the age for image effect subjective assessment can be embodied
Tendentiousness;
Compared according to the scoring of different occupation crowd, shadow of the professional background for image effect subjective assessment can be embodied
Ring;
Compared according to the scoring of country variant or nationality (geographical, cultural environment factor) crowd, geographical, text can be embodied
Change effect tendency of the environmental factor for image effect subjective assessment.
Different brands mobile phone, flat board, subjective image effect evaluation contrast can be carried out.
Now relatively it is illustrated according to current using frequently mobile phone, selected part scene, other scrnario testing sides
Formula all same, the test mode of other digital products are all, specific to test effect such as following table:
Mobile phone brand A, B, C, D refer to different brands mobile phone, no concrete meaning in chart.
For general technical staff of the technical field of the invention, without departing from the inventive concept of the premise,
Its framework form can be flexible and changeable, simply makes some simple deduction or replace, should all be considered as belonging to be carried by the present invention
The scope of patent protection that claims of friendship determine.
Claims (1)
- A kind of 1. subjective image effect evaluation method, it is characterised in that:Comprise the following steps:The first step:Screen subjective image effect The scene of fruit evaluation, and the effect weight of each scene is determined, the classification of digital product photographed scene is used according to user, is carried Typical scene is taken, determines the effect weight of above-mentioned scene, every weight is allocated according to certain principle, all scene effect power Heavy phase adds as 100%;Second step:Actual photographed is carried out according to the scene requirement of screening, preserves photo, will by specification according to different typical scenes Ask and shot, preserve photo respectively, more digital product contrasts, be then retained separately and carry out mark;3rd step:According to the applicable colony of digital product, selection carries out the user of subjective assessment, participate in the number of users of evaluation and test with It is defined with statistical significance, according to the different prospective users colony of digital product, selects representative user, select all ages and classes Section, wherein male, women number balance, different occupation background user number balance;4th step:Tissue represents user and evaluated and tested, and the scene photo that the first step, second step are shot, shows representative in order User, user is scored according to subjective feeling each scene photo, and is made a record;5th step:Data analysis1st, typical comprehensive grading:(1) each scene is directed to, asks for the grade average of all test users;(2) by every average value of different scenes, according to effect weight, it is weighted averagely, obtains comprehensive grading;2nd, data analysis stresses according to difference, there is different analysis paths:(1) compared according to the scoring of different age group, embody different tendentiousness of the age for image effect subjective assessment;(2) compared according to the scoring of different occupation crowd, embody influence of the professional background for image effect subjective assessment;(3) compared according to the scoring of country variant or national crowd, embody geographical, cultural environment factor for image effect master See the effect tendency of evaluation;(4) according to different brands digital product, subjective image effect evaluation contrast is carried out.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510981720.5A CN105611283B (en) | 2015-12-24 | 2015-12-24 | A kind of subjective image effect evaluation method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510981720.5A CN105611283B (en) | 2015-12-24 | 2015-12-24 | A kind of subjective image effect evaluation method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN105611283A CN105611283A (en) | 2016-05-25 |
CN105611283B true CN105611283B (en) | 2017-12-29 |
Family
ID=55990785
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510981720.5A Active CN105611283B (en) | 2015-12-24 | 2015-12-24 | A kind of subjective image effect evaluation method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105611283B (en) |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101212702A (en) * | 2006-12-29 | 2008-07-02 | 华晶科技股份有限公司 | Image scoring system and method |
CN101562699A (en) * | 2009-05-26 | 2009-10-21 | 天津三星光电子有限公司 | Realization method for grading photos of digital camera |
CN101783971A (en) * | 2010-01-26 | 2010-07-21 | 深圳市融创天下科技发展有限公司 | Method for subjective testing of video quality |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2009260940A (en) * | 2008-03-21 | 2009-11-05 | Nippon Telegr & Teleph Corp <Ntt> | Method, device, and program for objectively evaluating video quality |
-
2015
- 2015-12-24 CN CN201510981720.5A patent/CN105611283B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101212702A (en) * | 2006-12-29 | 2008-07-02 | 华晶科技股份有限公司 | Image scoring system and method |
CN101562699A (en) * | 2009-05-26 | 2009-10-21 | 天津三星光电子有限公司 | Realization method for grading photos of digital camera |
CN101783971A (en) * | 2010-01-26 | 2010-07-21 | 深圳市融创天下科技发展有限公司 | Method for subjective testing of video quality |
Also Published As
Publication number | Publication date |
---|---|
CN105611283A (en) | 2016-05-25 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Garcı́a et al. | Analysis of the exterior colour of agroindustrial buildings: a computer aided approach to landscape integration | |
CN105741328B (en) | The shooting image quality evaluating method of view-based access control model perception | |
CN109711319A (en) | A kind of method and system that grain unsound grain image recognition sample database is established | |
CN108388905B (en) | A kind of Illuminant estimation method based on convolutional neural networks and neighbourhood context | |
CN109191428A (en) | Full-reference image quality evaluating method based on masking textural characteristics | |
CN104182970A (en) | Souvenir photo portrait position recommendation method based on photography composition rule | |
Lin et al. | Developing and evaluating a target-background similarity metric for camouflage detection | |
CN110751362A (en) | Urban landscape evaluation index calculation method based on artificial intelligence algorithm | |
CN104865051A (en) | Method for evaluating illumination quality through cellphone | |
Jahani et al. | Landscape aesthetic quality assessment of forest lands: an application of machine learning approach | |
CN108573205A (en) | A kind of Khotan jade seed material micro-image intelligent identifying system | |
CN108198043A (en) | A kind of facial skin care product recommended based on user recommend method | |
CN110458789A (en) | A kind of image definition evaluating method, device and electronic equipment | |
Montero-Parejo et al. | Visual impact assessment of colour and scale of buildings on the rural landscape. | |
CN109685772A (en) | It is a kind of based on registration distortion indicate without referring to stereo image quality appraisal procedure | |
CN108647696A (en) | Picture face value determines method and device, electronic equipment, storage medium | |
JP2010272097A (en) | Device, method and program for measuring green coverage rate | |
CN105611283B (en) | A kind of subjective image effect evaluation method | |
CN105872516A (en) | Method and device for obtaining parallax parameters of three-dimensional film source | |
CN107862681B (en) | Self-timer image quality recommendation method | |
CN105976331A (en) | Method for adjusting white balance of image and system | |
Charoensawan et al. | Comparison of fabric color naming using rgb and hsv color models | |
CN114820514A (en) | Image processing method and electronic equipment | |
CN110363550A (en) | A kind of methods of marking and system | |
ATE347150T1 (en) | AUTOMATED HISTOLOGICAL GRADUATION OF TUBULI |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: A subjective image effect evaluation method Effective date of registration: 20230710 Granted publication date: 20171229 Pledgee: Shenzhen Branch of Guoren Property Insurance Co.,Ltd. Pledgor: SHENZHEN CMK TECHNOLOGY Co.,Ltd. Registration number: Y2023980047889 |
|
PE01 | Entry into force of the registration of the contract for pledge of patent right |