CN103313002B - Situation-based mobile streaming media energy-saving optimization method - Google Patents
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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 the field of mobile and green technologies, and particularly relates to a situation-based mobile streaming media energy-saving optimization method.
Background
According to ITU survey, the global mobile communication popularity rate is expected to reach 96% by the end of 2013, with more than half of mobile subscribers located in asia. The share of smart phone platforms is gradually increasing, and non-smart phone platforms are gradually decreasing, while in smart phone platforms, the Android performance is prominent and the increase is obvious. More than 70% of users can use the smart phone at any time, and the smart phone occupies an important position in the life of the users and becomes an indispensable part of the life of the users. However, the power consumption problem of the smart phone is more prominent, and according to statistics of main power consumption application programs of the smart phone, besides voice communication and internet surfing of the smart phone, voice and video playing occupies a considerable proportion. In the proportion of the power consumption of the main functions of the smart phone, the power consumption of the display frequency and the backlight accounts for 47%. At present, the smart phone screen tends to be gradually increased, and the power consumption of the smart phone screen is correspondingly increased along with the increase of the smart phone screen, so that the energy-saving potential is huge in the aspect of screen display. In the past, when a video service is used, a display screen is in a normally bright state, and in order to ensure the viewing effect, a method of system default setting or nonadjustable setting is generally adopted for the brightness processing of the display screen by a mainstream client, so that the power consumption of the display screen in the video playing process is greatly increased. Therefore, all major manufacturers are actively searching for new energy-saving optimization methods for smart phones.
The existing intelligent adjusting method for the backlight brightness of the display screen is realized by acquiring the current ambient light brightness value through a reference table preset with the corresponding display screen backlight brightness value and ambient light brightness value and setting the display screen brightness value according to the reference table, a user can also manually adjust the screen brightness, and the scheme reflects the habit of the user to a parameter table.
In the face of the energy consumption problem of the intelligent terminal, a reference table corresponding to the backlight brightness value of the display screen and the ambient light brightness value is preset, so that the memory overhead is obviously increased; because the brightness adjusting value of the user changes every time, the content reflected to the parameter table by the habit of the user is often modified, and the complexity is correspondingly increased; the method for obtaining the current ambient light brightness value and setting the display screen brightness according to the reference table only considers the ambient brightness factor and does not adjust the display screen backlight brightness based on the content.
Disclosure of Invention
The invention aims to provide a situation-based mobile streaming media energy-saving optimization method, which can fully utilize the automatic adjusting function of the backlight brightness of a display screen, can adjust the brightness of the display screen based on the situation through calculation with low complexity and can effectively save the energy consumption of a mobile terminal on the premise of ensuring the user experience.
The invention is realized by adopting the following scheme: a mobile streaming media energy-saving optimization method based on the situation is characterized by comprising the following steps:
(1) the mobile streaming media client acquires the current ambient brightness B1 through a photosensitive sensor;
(2) the mobile streaming media client receives streaming media data, analyzes the received data packet, extracts video content detail information, grades according to the video content detail information and quantizes the grade;
(3) weighting the environment brightness B1 and the video content detail grade quantization value according to the influence factor, deciding whether to submit the screen brightness adjusting request according to the weighted value, and submitting the screen brightness adjusting request if the weighted value is larger than the threshold value dynamically selected by taking the previous N frames of brightness values as the reference datum; if the weighted value is less than the threshold value, submitting a screen dimming request;
(4) counting the brightness and contrast of the video content, and determining an adjustment range according to the ambient brightness B1, the brightness of the video content and the contrast of the video content and the weighting of the influence factors;
(5) the selection of the screen brightness adjustment range is based on the following strategy: and analyzing the brightness and the contrast of the decoded frame, acquiring the real-time condition of the brightness and the contrast of the picture according to the histogram distribution, and obtaining an accurate value for determining the brightness adjustment range by taking the weighted values of the environmental brightness B1, the brightness of the content of the picture and the contrast of the picture as analysis parameters.
In an embodiment of the present invention, a specific manner of the level quantization in step (2) includes:
step 2.1, decoding to obtain a stream media data stream NAL unit, analyzing the decoded frame, and obtaining a coding quantization step Q1;
step 2.2, setting the threshold value to be C1 and quantizing the AC parameter into three types of 0, 1 and other values;
step 2.3, the AC component values in the DCT transformation coefficient matrix are counted, the distribution of the AC component values obeys Laplacian distribution,
probability density function as formula (1)
（1）
Wherein,，is variance, x is AC component value;
step 2.4 probability of quantization value 1 is determined by equation (2)
（2）；
Wherein p is2P represents the probability of falling into a certain interval, which is the probability of the quantization value being 1.
Step 2.5 set the numbers of k1, k2 and k3 as 0, 1 and other values, respectively, n is the total number of non-zero AC values, based on the likelihood function estimable value of k2, determined by equation (3)
（3）；
And 2.6, grading the detail information of the video content, and converting the grade into a brightness grade according to the grade of the detail information to obtain a grade quantization value QV.
In an embodiment of the present invention, the C1 is 0.625Q1, and the C2 is 1.625Q 1.
In an embodiment of the invention, the method for determining the quantitative value of the video content brightness CB is represented by formula (2)
（2）
The (R, G, B) images were converted to luminance images, where the P1, P2, P3 values were 0.11, 0.59, and 0.30, respectively, Temp is the luminance value of the corresponding color image pixel, and CB is quantitatively measured by its mean value.
In an embodiment of the present invention, the method for quantizing the contrast information of the video content includes: a luminance histogram of 4x4 blocks is established, a luminance mean value of each 4x4 block is obtained, and the video content contrast CR is measured by calculating the inter-block variance.
In one embodiment of the present invention, the determination of the weighting value WV is determined by the ambient brightness B1, the video content brightness CB and the video content contrast CR, and the quantization relationship is determined by the formula (3)
(3)
Wherein w1, w2 and w3 are weights, w1 is 0.29, w2 is 0.32, and w3 is 0.39.
In an embodiment of the present invention, the method further includes step (6): and adopting a gradual adjustment method to slowly converge the brightness to a desired value according to the brightness adjustment range.
The invention has the beneficial effects that:
1. the computational complexity is low: the intelligent terminal is generally provided with a photosensitive sensor to sense the ambient brightness, and the rest processing is realized by software without changing the hardware configuration. The image detail information is reflected by the distribution and size of the AC components read in the decoded DCT transform coefficient matrix, and no complex boundary detection operation is required. Meanwhile, in contrast and brightness quantitative analysis overshoot, the image is subjected to blocking processing, and the variance among the modules is solved, so that the operation complexity is greatly reduced.
2. Energy-conserving efficiency is very high: the most important influence factor of the energy consumption of the display screen is the screen brightness, whether the screen brightness is adjusted or not is determined through the content density and the environment brightness, the energy consumption can be saved on the premise that the video picture quality is not influenced, the content density can be really reflected through analyzing the parameters of the AC component of the transformation coefficient matrix and judging the picture details, the brightness adjusting range can be more accurately determined through analyzing the video content brightness and the contrast and adding the environment brightness factor, and the background brightness can be adaptively changed in real time.
3. The user experience is better: under the condition that the picture brightness and the relative contrast are high, the screen backlight brightness is reduced, and when the picture brightness and the relative contrast are high, the screen backlight brightness is dimmed, so that pictures observed by human eyes are clearer.
Drawings
Fig. 1 is a schematic diagram of a mobile streaming media energy-saving optimization architecture used in the context-based mobile streaming media energy-saving optimization method of the present invention.
FIG. 2 is a flow chart of the mobile streaming media energy-saving optimization method based on the situation of the present invention.
Fig. 3 is a schematic diagram of a NAL unit for a context-based mobile streaming media energy-saving optimization method according to the present invention.
Detailed Description
The invention is further explained below with reference to the drawings and the embodiments.
As shown in fig. 1, the energy-saving optimization method for mobile streaming media based on context of the present invention includes the following steps:
(1) the mobile streaming media client acquires the current ambient brightness B1 through the photosensitive sensor.
The intelligent terminal senses the ambient brightness in real time, and the light intensity information is converted into a quantifiable value, namely a brightness level, through the photosensitive sensor.
(2) The mobile streaming media client receives streaming media data, analyzes the received data packets, extracts video content detail information, grades and quantizes the grades according to the video content detail information, and takes the values as the division basis of the video content detail information.
Step 2.1 decodes to obtain a stream media data stream NAL unit (shown in fig. 2), analyzes the decoded frame, and obtains its coding quantization step Q1.
Step 2.2 set the threshold to C1 and quantize the AC parameters to 0, 1, and others
The values are three, the recommended value of C1 is 0.625Q1, and the recommended value of C2 is 1.625Q 1.
Step 2.3, the AC component values in the DCT transformation coefficient matrix are counted, the distribution of the AC component values obeys Laplacian distribution,
probability density function as formula (1)
（1）
Wherein,，is the variance, x is the AC component value.
Step 2.4 probability of quantization value 1 is determined by equation (2)
（2）
Wherein p is2P represents the probability of falling into a certain interval, which is the probability of the quantization value being 1.
Step 2.5 set the numbers of k1, k2 and k3 to 0, 1 and other values, respectively, n is the total number of non-zero AC values, the values are estimated from the likelihood function of k2, determined by equation (3)
（3）
And 2.6, grading the detail information of the video content, and converting the grade into a brightness grade according to the grade of the detail information to obtain a grade Quantized Value (QV) of the video content.
(3) Weighting the environment brightness B1 and the video content detail grade quantization value according to the influence factor, deciding whether to submit the screen brightness adjusting request according to the weighted value, and submitting the screen brightness adjusting request if the weighted value is larger than the threshold value dynamically selected by taking the previous N frames of brightness values as the reference datum; if the weighted value is less than the threshold value, submitting a screen dimming request;
step 3.1 the ambient brightness B1 and the level Quantization Value (QV) are assigned weight values of 0.45 and 0.55 respectively according to the magnitude of their impact factors.
And 3.2, obtaining a threshold T for determining whether to adjust the screen brightness through experience and reliable tests, wherein the optimal threshold T is 55, and the T value represents the brightness level.
(4) And counting the brightness and the contrast of the video content, and determining an adjustment range according to the weighting of the influence factors by the ambient brightness B1, the brightness of the video content and the contrast of the video content.
Step 4.1 method for determining quantitative value of video content luminance (CB) from luminance formula (4)
（4）
The (R, G, B) images were converted to luminance images, with P1, P2, P3 suggested values of 0.11, 0.59, and 0.30, respectively, Temp being the luminance value of the corresponding color image pixel, and CB being quantitatively measured by its mean.
And 4.2, establishing a brightness histogram of 4x4 blocks to obtain a brightness mean value of each 4x4 block, and measuring the video content Contrast (CR) by calculating the variance among the blocks.
(5) The selection of the screen brightness adjustment range is based on the following strategy: analyzing the brightness and contrast of the decoded frame, acquiring the real-time condition of the brightness and contrast of the picture according to histogram distribution, increasing the backlight brightness of the screen under the condition that the environmental brightness B1 and the weighted value of the content brightness and contrast of the picture (WV for short, weighted value) are low, and dimming the backlight brightness of the screen under the condition that the weighted value is high, wherein the relative contrast is used as an analysis parameter to obtain an accurate value for determining the brightness adjustment range.
The determination of the Weighting Value (WV) is determined by the ambient brightness B1, the video content brightness CB and the video content contrast CR, the quantization relationship of which is determined by equation (5)
（5）
Wherein w1, w2 and w3 are weights, w1 suggests a value of 0.29, w2 suggests a value of 0.32, and w3 suggests a value of 0.39.
(6) The method has the advantages that the screen brightness change in the streaming media playing process caused by the energy-saving optimization scheme is controlled, the influence on the user viewing experience caused by frequent light and shade alternation is avoided, the brightness of the display screen is not changed to a specified value immediately when a brightness adjustment request is received, and the current brightness value is smoothly adjusted to the requested brightness value within specified time.
And adjusting and controlling the screen brightness, namely slowly converging the brightness to a desired value by adopting a progressive adjusting method.
In addition, as shown in fig. 3, a mobile streaming media energy-saving optimization architecture used in the context-based mobile streaming media energy-saving optimization method according to another embodiment of the present invention is briefly described below to facilitate understanding of a skilled person, and the architecture includes a streaming media server, a photosensitive module, a decoding module, a semantic analysis module, a context processing module, a brightness adjustment module, a brightness control module, and a display screen. Wherein the solid lines represent data traffic and the dashed lines represent signaling traffic. The context processing module and the brightness adjusting module have both data flow and signaling flow.
The above description is only a preferred embodiment of the present invention, and all equivalent changes and modifications made in accordance with the claims of the present invention should be covered by the present invention.
Claims (4)
1. A mobile streaming media energy-saving optimization method based on the situation is characterized by comprising the following steps:
(1) the mobile streaming media client acquires the current ambient brightness B1 through a photosensitive sensor;
(2) the mobile streaming media client receives streaming media data, analyzes the received data packet, extracts video content detail information, grades according to the video content detail information and quantizes the grade;
(3) weighting the environment brightness B1 and the video content detail grade quantization value according to the influence factor, deciding whether to submit the screen brightness adjusting request according to the weighted value, and submitting the screen brightness adjusting request if the weighted value is larger than the threshold value dynamically selected by taking the previous N frames of brightness values as the reference datum; if the weighted value is less than the threshold value, submitting a screen dimming request;
(4) counting the brightness and contrast of the video content, and determining the screen brightness adjustment range according to the weighted value of the influence factors of the brightness B1, the brightness of the video content and the contrast of the video content;
(5) the selection of the screen brightness adjustment range is based on the following strategy: analyzing the video content brightness and the video content contrast of the decoded frame, acquiring the real-time situation of the video content brightness and the video content contrast according to histogram distribution, and taking weighted values of the environmental brightness B1, the video content brightness and the video content contrast as analysis parameters to obtain an accurate value for determining the brightness adjustment range;
the method for determining the brightness CB of the video content is represented by a formula (4)
Temp＝P1R+P2G+P3B (4)
Converting the (R, G, B) image into a luminance image, wherein the P1, P2 and P3 values are 0.11, 0.59 and 0.30 respectively, Temp is the luminance value of the corresponding color image pixel, and CB is quantitatively measured by the mean value thereof;
the specific manner of the grade quantization in the step (2) comprises the following steps:
step 2.1, decoding to obtain a stream media data stream NAL unit, analyzing the decoded frame, and obtaining a coding quantization step Q1;
step 2.2 setting the threshold value to c1Quantizing the AC parameters into three types of 0, 1 and other values;
step 2.3, the AC component values in the DCT transformation coefficient matrix are counted, the distribution of the AC component values obeys Laplacian distribution,
probability density function as formula (1)
f(x)＝0.5λe-λ|x|(1)
Where λ 1.414/, is the variance, and x is the AC component value;
step 2.4 probability of quantization value 1 is determined by equation (2)
Wherein, c1Is 0.625Q1, c2Is 1.625Q1, p2P represents the probability of falling into a certain interval, which is the probability of the quantization value being 1;
step 2.5 set the numbers of k1, k2 and k3 as 0, 1 and other values, respectively, n is the total number of non-zero AC values, based on the likelihood function estimable value of k2, determined by equation (3)
And 2.6, grading the detail information of the video content, and converting the grade into a brightness grade according to the grade of the detail information to obtain a grade quantization value QV of the detail information, wherein the detail information of the video content is the distribution and the size of the AC component.
2. The method of claim 1, wherein the method for quantizing the video content contrast information comprises: a luminance histogram of 4x4 blocks is established, a luminance mean value of each 4x4 block is obtained, and the video content contrast CR is measured by calculating the inter-block variance.
3. The context-based mobile streaming media energy-saving optimization method of claim 1, wherein: the weighted value in step (5) is determined by the ambient brightness B1, the video content brightness CB and the video content contrast CR, and the quantization relationship is determined by the formula (5)
WV＝w1B1+w2CB+w3CR (5)
Wherein, WV is the weighted value in step (5), w1, w2 and w3 are weighted values, w1 takes a value of 0.29, w2 takes a value of 0.32, and w3 takes a value of 0.39.
4. The context-based mobile streaming media energy-saving optimization method of claim 1, wherein: further comprising the step (6): and adopting a gradual adjustment method to slowly converge the brightness to a desired value according to the brightness adjustment range.
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| 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 |
| CN108702536B (en) * | 2016-02-17 | 2021-11-05 | 三星电子株式会社 | Method and apparatus for providing content-related information for 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 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 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 |
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