CN103313002B - Situation-based mobile streaming media energy-saving optimization method - Google Patents
Situation-based mobile streaming media energy-saving optimization method Download PDFInfo
- Publication number
- CN103313002B CN103313002B CN201310281772.2A CN201310281772A CN103313002B CN 103313002 B CN103313002 B CN 103313002B CN 201310281772 A CN201310281772 A CN 201310281772A CN 103313002 B CN103313002 B CN 103313002B
- Authority
- CN
- China
- Prior art keywords
- brightness
- value
- video content
- contrast
- situation
- 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
Abstract
The invention discloses a situation-based mobile streaming media energy-saving optimization method which includes that the current ambient brightness is obtained through a photosensitive sensor, streaming media data are received and decoded, video content detailed information is extracted from code streams, the video content detailed information is divided into grades and the grades are quantified, the ambient brightness value and the grade quantified value are weighted, whether to submit a screen brightness adjustment request for adjusting the screen brightness is determined according to the weighted value, decoded video content brightness and contrast are counted, the adjusting method and the adjusting range are determined according to the contrast, brightness adjustment is controlled, the display screen brightness is not changed to the designated value instantly, and the current brightness value is smoothly adjusted to be the requested brightness value within the appointed time. By adopting the situation-based mobile streaming media energy-saving optimization method, the display screen brightness can be adjusted by making the best of an automatic adjustment function of the display screen backlight brightness through low-complexity calculating on the basis of situations on the premise of ensuring user experience, and mobile terminal energy consumption can be effectively saved.
Description
Technical field
The invention belongs to mobile with green science and technology field and in particular to a kind of mobile flow medium energy saving optimizing based on situation
Method.
Background technology
According to ITU investigation it is contemplated that 2013 end of the years, the whole world moves integrally communication popularity rate and is up to 96%, wherein, half with
Upper mobile subscriber is located at Asia.The share of intelligent mobile phone platform just gradually rises, and non-smart mobile phone platform just progressively reduces, and
In intelligent mobile phone platform, Android has outstanding performance, and amplification is obvious.Can be at any time using smart mobile phone, intelligence more than 70% in user
Critical role can be occupied in user's life by mobile phone, it has also become the indispensable part of user's life.But smart mobile phone consumption
Electric problem is more aobvious prominent, according to the statistics to smart mobile phone main power consumption application program, in addition to voice communication with surfing Internet with cell phone,
Voice and video is play and is occupied sizeable proportion.In smart mobile phone major function power consumption proportion, show frequency and backlight institute power consumption
Account for 47%.Smart mobile phone screen has the trend being gradually increased at present, and with the increase of smart mobile phone screen, its power consumption also can phase
Should improve, so in terms of screen display, energy-saving potential is huge.In the past when using video traffic, display screen is in Chang Liangzhuan
State, mainstream customers end is to guarantee appreciation effect, brightness of display screen is processed and typically takes system default to arrange or unadjustable
Method, considerably increase display screen power consumption in video display process.For this reason, smart mobile phone is also actively being sought by all big enterprises
Energy saving optimizing new method.
The intelligent adjusting method of existing display backlight brightness is by being preset with display backlight brightness value and environment
The corresponding reference table of brightness values, obtains current environmental light brightness value, and sets brightness of display screen value according to above-mentioned reference table
To realize, user can also adjust screen intensity manually, the program is by user's custom reflection in parameter list.
In the face of intelligent terminal energy consumption problem, it is preset with the reference corresponding with environment bright angle value of display backlight brightness value
Table is it is clear that increased memory cost；Brightness regulation value due to each user can change, and user's custom reflection is in parameter list
Content can often be modified, complexity accordingly increases；Obtain current environmental light brightness value, set according to above-mentioned reference table aobvious
The method of display screen brightness only takes into account ambient brightness factor, display backlight brightness is adjusted with not being based on content.
Content of the invention
It is an object of the invention to provide a kind of mobile flow medium energy conservation optimizing method based on situation, can guarantee that Consumer's Experience
On the premise of, part can be filled and utilize the automatic regulation function of display backlight brightness can be based on feelings with the relatively low calculating of complexity again
Scape is adjusted to brightness of display screen, can effectively save mobile terminal energy consumption.
The present invention adopts below scheme to realize：A kind of mobile flow medium energy conservation optimizing method based on situation, its feature exists
In comprising the following steps：
（1）Mobile flow medium client obtains current environment brightness B1 by light sensor；
（2）Mobile flow medium client receiving stream media data, is analyzed to the packet receiving, and extracts in video
Hold detailed information, according to the graduation of video content detailed information and by grade quantizing；
（3）Ambient brightness B1 is weighted according to its factor of influence size with video content detail grade quantized value, root
Decide whether to submit to screen intensity to adjust request according to the size of weighted value, if weighted value is more than former N frame brightness value and makees with reference to base
The threshold value that Quasi dynamic selects, submits to screen to lighten request；If weighted value is less than this threshold value, screen is submitted to dim request；
（4）Statistics video content brightness and contrast, according to ambient brightness B1, video content brightness and video content pair
Than degree, adjusting range is determined according to the weighting of factor of influence；
（5）Selection to screen intensity adjusting range is based on following strategy：To the frame decoding, carry out brightness and contrast
Analysis, obtains picture brightness and contrast real-time condition, ambient brightness B1, image content brightness and contrast according to histogram distribution
Degree three's weighted value, as analytical parameters, draws the exact value determining brightness adjustment scope.
In an embodiment of the present invention, described step（2）The concrete mode that middle grade quantifies includes：
Step 2.1 decoding obtains streaming media data stream NAL unit, decoded frame is analyzed, obtains its encoding amount
Change step-length Q1；
Step 2.2 given threshold is C1 and quantifies to be classified as 0,1 and other values three class by AC parameter；
AC component value in step 2.3 statistics dct transform coefficient matrix, Laplacian distribution is obeyed in its distribution,
Probability density function such as formula（1）
（1）
Wherein,,For variance, x is AC component value；
Step 2.4 quantized value be 1 probability by formula（2）Determine
（2）；
Wherein, p2The probability being 1 for quantized value, p represents and falls into certain interval probability.
Step 2.5 sets the number that k1, k2 and k3 are respectively 0,1 and other numerical value, and n is non-zero AC value sum, according to
The likelihood function of k2 can estimate, by formula（3）Determine
（3）；
Video content detailed information is carried out grade classification by step 2.6, is converted to brightness etc. according to its detailed information grade
Level, obtains its grade quantizing value QV.
In an embodiment of the present invention, described C1 is 0.625Q1, and C2 is 1.625Q1.
In an embodiment of the present invention, the determination method of described video content brightness CB quantitative values, by formula（2）
（2）
Will（R,G,B）Image switchs to luminance picture, and wherein, P1, P2, P3 value is respectively 0.11,0.59 and
0.30, Temp is the brightness value of corresponding color image pixel, and CB is by its average quantitative measurement.
In an embodiment of the present invention, described video content contrast information quantization method is：The brightness setting up 4x4 block is straight
Fang Tu, obtains each 4x4 Block Brightness average, and weighs video content contrast C R by calculating variance between block.
In an embodiment of the present invention, the determination of described weighted value WV by ambient brightness B1, video content brightness CB and regards
Frequency content contrast C R determines, its quantitative relationship is by formula（3）Determine
(3)
Wherein w1, w2 and w3 are weights, w1 value 0.29, w2 value 0.32, w3 value 0.39.
In an embodiment of the present invention, also include step（6）：Using progressive adjustments method, according to brightness adjustment scope
Brightness is made slowly to converge to desired value.
The invention has the beneficial effects as follows：
1st, computation complexity is low：Intelligent terminal typically has light sensor, and to perceive ambient brightness, at remaining, reason is soft
Part is realized, and varies without hardware configuration.By the distribution of the AC component of reading and size in dct transform coefficient matrix after the decoding
Reflection image detail information is it is not necessary to carry out the border detection computing of complexity.Meanwhile, in contrast and luminance quantization analysis overshoot
In, piecemeal process is carried out to image, seeks its variance for intermodule, greatly reduce computational complexity.
2nd, energy-saving efficiency is very high：The most important influence factor of display screen energy consumption is screen intensity, by content density and ring
Whether border brightness decision screen intensity is adjusted can save energy consumption on the premise of not affecting video pictures quality, become by analysis
Change the parameter of coefficient matrices A C component, carry out picture detail and judge can truly reflect its content density, and by video
Content brightness and contrast analysis more accurately determines brightness adjustment scope plus ambient brightness factor, and then can in real time certainly
Adapt to change background luminance.
3rd, better user experience：In the case of picture brightness and relative contrast height, turn down screen backlight brightness, picture
When brightness and relative contrast are higher, dim screen backlight brightness, the picture that such eye-observation arrives is relatively sharp, in addition,
During streaming media playing, screen intensity change is controlled, it is to avoid frequent light and shade alternate situation impact user may be produced
Viewing experience.
Brief description
Fig. 1 is the present invention based on the mobile flow medium energy-conservation used in the mobile flow medium energy conservation optimizing method of situation
The schematic diagram of optimization architecture.
Fig. 2 is the flow chart based on the mobile flow medium energy conservation optimizing method of situation for the present invention.
Fig. 3 is the schematic diagram based on the mobile flow medium energy conservation optimizing method NAL unit of situation for the present invention.
Specific embodiment
Below in conjunction with the accompanying drawings and embodiment the present invention will be further described.
As shown in figure 1, the present invention is comprised the following steps based on the mobile flow medium energy conservation optimizing method of situation：
（1）Mobile flow medium client obtains current environment brightness B1 by light sensor.
Intensity information is converted into quantifiable value by light sensor by intelligent terminal real-time perception ambient brightness,
I.e. brightness degree.
（2）Mobile flow medium client receiving stream media data, is analyzed to the packet receiving, and extracts in video
Hold detailed information, according to the graduation of video content detailed information and by grade quantizing, drawn as video content detailed information using value
Divide foundation.
Step 2.1 decoding obtains streaming media data stream NAL unit（Shown in Fig. 2）, decoded frame is analyzed, obtains
Take its coded quantization step-length Q1.
Step 2.2 given threshold be C1 and by AC parameter quantify be classified as 0,1 and other
Value three class, C1 recommended value is 0.625Q1, and C2 recommended value is 1.625Q1.
AC component value in step 2.3 statistics dct transform coefficient matrix, Laplacian distribution is obeyed in its distribution,
Probability density function such as formula（1）
（1）
Wherein,,For variance, x is AC component value.
Step 2.4 quantized value be 1 probability by formula（2）Determine
（2）
Wherein, p2The probability being 1 for quantized value, p represents and falls into certain interval probability.
Step 2.5 sets the number that k1, k2 and k3 are respectively 0,1 and other numerical value, and n is non-zero AC value sum, according to
The likelihood function of k2 can estimate, by formula（3）Determine
（3）
Video content detailed information is carried out grade classification by step 2.6, is converted to brightness etc. according to its detailed information grade
Level, obtains its grade quantizing value（QV）.
（3）Ambient brightness B1 is weighted according to its factor of influence size with video content detail grade quantized value, root
Decide whether to submit to screen intensity to adjust request according to the size of weighted value, if weighted value is more than former N frame brightness value and makees with reference to base
The threshold value that Quasi dynamic selects, submits to screen to lighten request；If weighted value is less than this threshold value, screen is submitted to dim request；
Step 3.1 ambient brightness B1 and grade quantizing value（QV）Size suggestion weights distribution point according to its factor of influence
Wei 0.45 and 0.55.
Step 3.2 passes through experience and reliability tests threshold value T obtaining deciding whether to carry out screen intensity adjustment, optimal threshold
Value T is 55, and wherein, T value represents brightness degree.
（4）Statistics video content brightness and contrast, is contrasted by ambient brightness B1, video content brightness and video content
Degree determines adjusting range according to the weighting of factor of influence.
Step 4.1 video content brightness（CB）The determination method of quantitative values, by brightness-formula（4）
（4）
Will（R,G,B）Image switchs to luminance picture, and wherein, P1, P2, P3 recommended value is respectively 0.11,0.59 and
0.30, Temp is the brightness value of corresponding color image pixel, and CB is by its average quantitative measurement.
Step 4.2 sets up the brightness histogram of 4x4 block, obtains each 4x4 Block Brightness average, and by calculating side between block
Differ from and to weigh video content contrast（CR）.
（5）Selection to screen intensity adjusting range is based on following strategy：To the frame decoding, carry out brightness and contrast
Analysis, obtains picture brightness and contrast real-time condition according to histogram distribution, in ambient brightness B1 and image content brightness and
Contrast weighted value（WV abbreviation, weighted value）In the case of low, heighten screen backlight brightness, when weighted value is high, dim screen back
Brightness, using relative contrast as analytical parameters, draws the exact value determining brightness adjustment scope.
Weighted value（WV）Determination by ambient brightness B1, video content brightness CB and video content contrast C R determine, its
Quantitative relationship is by formula（5）Determine
（5）
Wherein w1, w2 and w3 are weights, and w1 advises value 0.29, and w2 advises value 0.32, and w3 advises value
0.39.
（6）Screen intensity change during the streaming media playing being caused by energy saving optimizing scheme is controlled, it is to avoid can
Frequent light and shade alternate situation impact user's viewing experience can be produced, when receiving brightness adjustment request, not at once by display screen
Brightness changes to designated value, within a specified time present intensity value smooth adjustment to request brightness value.
The regulation of screen intensity controls, and using progressive adjustments method, makes brightness slowly converge to desired value.
In addition as shown in figure 3, following is a brief introduction of the mobile flow medium energy-conservation based on situation in another embodiment of the present invention
To facilitate the technical staff to understand, this framework includes Streaming Media clothes to the used mobile flow medium energy saving optimizing framework of optimization method
Business device, photosensitive module, decoder module, semantic module, context processing module, brightness adjusting section, brightness control module
And display screen.Wherein, solid line represents data traffic, and dotted line represents signaling traffic.Context processing module and brightness adjusting section
Between existing data traffic have signaling traffic again.
The foregoing is only presently preferred embodiments of the present invention, all impartial changes done according to scope of the present invention patent with
Modify, all should belong to the covering scope of the present invention.
Claims (4)
1. a kind of mobile flow medium energy conservation optimizing method based on situation is it is characterised in that comprise the following steps：
(1) mobile flow medium client obtains current environment brightness B1 by light sensor；
(2) mobile flow medium client receiving stream media data, is analyzed to the packet receiving, and extracts video content thin
Section information, according to the graduation of video content detailed information and by grade quantizing；
(3) ambient brightness B1 is weighted according to its factor of influence size with video content detail grade quantized value, according to plus
The size of weights decides whether to submit to screen intensity to adjust request, if weighted value made reference data more than former N frame brightness value moving
The threshold value that state selects, submits to screen to lighten request；If weighted value is less than this threshold value, screen is submitted to dim request；
(4) count video content brightness and contrast, by ambient brightness B1, video content brightness and video content contrast according to
The weighted value of its factor of influence determines screen intensity adjusting range；
(5) selection to screen intensity adjusting range is based on following strategy：To the frame decoding, carry out video content brightness and regard
Frequency content Analysis of Contrast, obtains video content brightness and video content contrast real-time condition, environment according to histogram distribution
Brightness B1, video content brightness and video content contrast three's weighted value, as analytical parameters, draw decision brightness adjustment model
The exact value enclosed；
The determination method of described video content brightness CB, by formula (4)
Temp=P1R+P2G+P3B (4)
(R, G, B) image is switched to luminance picture, wherein, it is to correspond to that P1, P2, P3 value is respectively 0.11,0.59 and 0.30, Temp
The brightness value of color image pixel, CB is by its average quantitative measurement；
The concrete mode that described step (2) middle grade quantifies includes：
Step 2.1 decoding obtains streaming media data stream NAL unit, and decoded frame is analyzed, and obtains its coded quantization step
Long Q1；
Step 2.2 given threshold is c1And quantify to be classified as 0,1 and other values three class by AC parameter；
AC component value in step 2.3 statistics dct transform coefficient matrix, Laplacian distribution is obeyed in its distribution,
Probability density function such as formula (1)
F (x)=0.5 λ e-λ|x|(1)
Wherein, λ=1.414/ δ, δ are variance, and x is AC component value；
Step 2.4 quantized value be 1 probability by formula (2) determine
Wherein, c1For 0.625Q1, c2For 1.625Q1, p2The probability being 1 for quantized value, p represents and falls into certain interval probability；
Step 2.5 sets the number that k1, k2 and k3 are respectively 0,1 and other numerical value, and n is non-zero AC value sum, according to k2 seemingly
So function can estimate, determined by formula (3)
Video content detailed information is carried out grade classification by step 2.6, is converted to brightness degree according to its detailed information grade, obtains
To its grade quantizing value QV, described video content detailed information is distribution and the size of AC component.
2. the mobile flow medium energy conservation optimizing method based on situation according to claim 1 is it is characterised in that described video
The information quantization method of content contrast is：Set up the brightness histogram of 4x4 block, obtain each 4x4 Block Brightness average, and pass through
Calculate between block variance weighing video content contrast C R.
3. the mobile flow medium energy conservation optimizing method based on situation according to claim 1 it is characterised in that：Step (5)
Described in weighted value by ambient brightness B1, video content brightness CB and video content contrast C R determine, its quantitative relationship is by public affairs
Formula (5) determines
WV=w1B1+w2CB+w3CR (5)
Wherein, WV is weighted value described in step (5), and w1, w2 and w3 are weights, w1 value 0.29, w2 value 0.32, w3 value
0.39.
4. the mobile flow medium energy conservation optimizing method based on situation according to claim 1 it is characterised in that：Also include walking
Suddenly (6)：Using progressive adjustments method, brightness is made slowly to converge to desired value according to brightness adjustment scope.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310281772.2A CN103313002B (en) | 2013-07-05 | 2013-07-05 | Situation-based mobile streaming media energy-saving optimization method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310281772.2A CN103313002B (en) | 2013-07-05 | 2013-07-05 | Situation-based mobile streaming media energy-saving optimization method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103313002A CN103313002A (en) | 2013-09-18 |
| CN103313002B true CN103313002B (en) | 2017-02-22 |
Family
ID=49137735
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310281772.2A Active CN103313002B (en) | 2013-07-05 | 2013-07-05 | Situation-based mobile streaming media energy-saving optimization method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103313002B (en) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104658487B (en) * | 2015-03-16 | 2017-04-05 | 广东欧珀移动通信有限公司 | Adjust method, device and the mobile terminal of brightness of image |
| CN104780466A (en) * | 2015-04-03 | 2015-07-15 | 天脉聚源(北京)传媒科技有限公司 | Method and device for adjusting television display brightness |
| US10992976B2 (en) * | 2016-02-17 | 2021-04-27 | Samsung Electronics Co., Ltd. | Method and device for providing content-related information of multimedia service |
| CN107332590B (en) | 2017-08-29 | 2021-01-01 | 北京小米移动软件有限公司 | Wireless charging method, transmitting terminal, receiving terminal and power management module |
| CN108040360B (en) * | 2017-12-05 | 2020-12-11 | 北京小米移动软件有限公司 | Method and device for controlling screen display |
| CN111063319B (en) * | 2018-10-16 | 2021-05-18 | 深圳Tcl新技术有限公司 | Image dynamic enhancement method and device based on backlight adjustment and computer equipment |
| CN114285932A (en) * | 2021-12-24 | 2022-04-05 | 电子科技大学 | Screen brightness adjusting method for designated area or designated target |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101383139A (en) * | 2008-06-27 | 2009-03-11 | 青岛海信电器股份有限公司 | Luminance control method for display screen |
| CN101620819A (en) * | 2009-06-25 | 2010-01-06 | 北京中星微电子有限公司 | Dynamic regulation method and dynamic regulation device for displaying image back light brightness, and moving display device |
| CN102377956A (en) * | 2010-08-09 | 2012-03-14 | 厦门华侨电子股份有限公司 | Dynamic backlight regulation method of LCD (liquid crystal display) television |
| CN102402942A (en) * | 2011-11-02 | 2012-04-04 | 深圳创维－Rgb电子有限公司 | Method for improving energy efficiency index of LED (light-emitting diode) display screen and LED display screen |
| CN102801938A (en) * | 2012-08-27 | 2012-11-28 | 上海高清数字科技产业有限公司 | Method and device used for improving screen contrast |
-
2013
- 2013-07-05 CN CN201310281772.2A patent/CN103313002B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101383139A (en) * | 2008-06-27 | 2009-03-11 | 青岛海信电器股份有限公司 | Luminance control method for display screen |
| CN101620819A (en) * | 2009-06-25 | 2010-01-06 | 北京中星微电子有限公司 | Dynamic regulation method and dynamic regulation device for displaying image back light brightness, and moving display device |
| CN102377956A (en) * | 2010-08-09 | 2012-03-14 | 厦门华侨电子股份有限公司 | Dynamic backlight regulation method of LCD (liquid crystal display) television |
| CN102402942A (en) * | 2011-11-02 | 2012-04-04 | 深圳创维－Rgb电子有限公司 | Method for improving energy efficiency index of LED (light-emitting diode) display screen and LED display screen |
| CN102801938A (en) * | 2012-08-27 | 2012-11-28 | 上海高清数字科技产业有限公司 | Method and device used for improving screen contrast |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103313002A (en) | 2013-09-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103313002B (en) | Situation-based mobile streaming media energy-saving optimization method | |
| CN101448085B (en) | Videography processing method and system supporting face detection | |
| CN102780889B (en) | Video image processing method, device and equipment | |
| CN101466035B (en) | Method for distributing video image set bit based on H.264 | |
| CN102137258B (en) | Method for controlling three-dimensional video code rates | |
| WO2013143396A1 (en) | Digital video quality control method and device thereof | |
| CN103957410B (en) | I-frame code rate control method based on residual frequency domain complexity | |
| CN111131693B (en) | Face image enhancement method based on multi-exposure face detection | |
| CN112200736B (en) | Image processing method based on reinforcement learning and model training method and device | |
| WO2023207801A1 (en) | Video stream frame rate adjustment method and apparatus, and device, medium and product | |
| WO2023134524A1 (en) | Video coding configuration method, system and device, and storage medium | |
| CN110232680A (en) | A kind of image blur evaluation method and device | |
| TW201248388A (en) | Cloud-based energy-saving service system and method | |
| CN109545136A (en) | Energy-saving device of display equipment and method | |
| CN104301722B (en) | A kind of video flowing based on frequency domain obscures detection method | |
| CN104915933A (en) | Foggy day image enhancing method based on APSO-BP coupling algorithm | |
| CN100397422C (en) | Method for detecting object edges in image block and determining quantization zooming parameter | |
| CN109544441B (en) | Image processing method and device, and skin color processing method and device in live broadcast | |
| CN114567776B (en) | Video low-complexity coding method based on panoramic visual perception characteristics | |
| CN101527846B (en) | H.264 variable bit rate control method based on Matthew effect | |
| CN106231341B (en) | A kind of method and device controlling Motion JPEG encoder bit rate | |
| CN103440030A (en) | Energy-saving display method of three-dimensional drawn image for OLED displayer | |
| CN102821281B (en) | Rate distortion optimization method | |
| CN116708843B (en) | User experience quality feedback regulation system in semantic communication process | |
| CN113938684B (en) | Lightweight end-cloud collaborative image coding transmission method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C53 | Correction of patent for invention or patent application | ||
| CB02 | Change of applicant information |
Address after: 350005 Cangshan science and Technology Park, Fujian District, Fuzhou, No. 6, No. 1 Applicant after: China Youke Communication Technology Co., Ltd. Address before: 350005 Cangshan science and Technology Park, Fujian District, Fuzhou, No. 6, No. 1 Applicant before: Fujian Youke Communication Technology Co., Ltd. |
|
| COR | Change of bibliographic data |
Free format text: CORRECT: APPLICANT; FROM: FUJIAN YOUKE COMMUNICATION TECHNOLOGY CO., LTD. TO: CHINA YOUKE COMMUNICATION TECHNOLOGY CO., LTD. |
|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |