Context-based energy-saving optimization method for mobile streaming media

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 [0001] The invention belongs to the field of mobile and green technology, and in particular relates to a context-based energy-saving optimization method for mobile streaming media. Background technique [0002] According to the ITU survey, it is estimated that by the end of 2013, the overall mobile communication penetration rate in the world will reach 96%, and more than half of the mobile users are located in Asia. The share of smart phone platforms is gradually increasing, while the share of non-smart phone platforms is gradually decreasing. Among the smart phone platforms, Android is outstanding with a significant increase. More than 70% of users will use smartphones at any time. Smartphones occupy an important position in users' lives and have become an indispensable part of users' lives. However, the power consumption problem of smartphones is becoming more and more prominent. According to statistics on the main power-consuming applications of smartphon...

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Problems solved by technology

[0004] Facing the problem of energy consumption of smart terminals, there is a preset reference table corresponding to the brightness value of the display backlight and the brightness value of the ambient light, which obviously increases the memory overhead; since the brightness adjustment value of the user will change each time, the user's habits are reflected in the parameter table The content in will be frequently modified, and the complexity will increase correspondingly; the method of obtaining the current ambient light brightness value and setting the display brightness according to the above reference table only considers the environmental brightness factor, and does not adjust the display backlight brightness based on the content. make adjustments

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