Page 132 - 《软件学报》2020年第9期
P. 132

李德光  等:基于视觉显著性的 AMOLED 显示器多区域功耗优化                                                2753


         好地降低图像显示功耗,同时,该方法也可以用于视频及其他多媒体应用场景.

         References:
          [1]    Khan SN,  Aljaberi  MA,  Muammar S. Success factors  model for green  computing implementations. Int’l Journal of  Technology
             Management & Sustainable Development, 2019,18(1):37−54.
          [2]    Airehrour D, Cherrington M, Madanian S, et al. Reducing ICT carbon footprints through adoption of green computing. 2019.
          [3]    Guo B, Shen Y, Wang JH, et al. Principles and Applications of Green Computing. Beijing: Science Press, 2013 (in Chinese).
          [4]    Thackray H, Earle L, Kor A, et al. Investigation of a UK financial Organisation’s green computing strategy. In: Proc. of the 2017
             World Congress on Sustainable Technologies (WCST). IEEE, 2018.
          [5]    Kumon K. Overview of next-generation green data center. Fujitsu Scientific & Technical Journal, 2012,48(2).
          [6]    Guo B, Shen Y, Shao ZL. Redefinition and discussion of green computing. Journal of Computer Science, 2009,12:2311−2319 (in
             Chinese with English abstract).
          [7]    Lu MHM, Hack M,  Hewitt R,  et  al. Power  consumption  and temperature  increase in large  area  active-matrix OLED displays.
             Journal of Display Technology, 2008,4(1):47−53.
          [8]    Carroll A, Heiser G. An analysis of power consumption in a smartphone. 2010.
          [9]    Chen X, Chen Y, Ma Z, et al. How is energy consumed in smartphone display applications? In: Proc. of the 14th Workshop on
             Mobile Computing Systems and Applications. ACM, 2013.
         [10]    Pathak A, Hu YC, Zhang M. Where is the energy spent inside my app? Fine grained energy accounting on smartphones with eprof.
             In: Proc. of the 7th ACM European Conf. on Computer Systems. ACM, 2012. 29−42.
         [11]    Lee KY, Hsu YP, Chao PCP, et al. A new compensation method for emission degradation in an AMOLED display via an external
             algorithm, new pixel circuit, and models of prior measurements. Journal of Display Technology, 2014,10(3):189−197.
         [12]    Ummartyotin S,  Juntaro J, Sain  M,  et  al. Development of transparent  bacterial  cellulose nanocomposite film  as substrate  for
             flexible organic light emitting diode (OLED) display. Industrial Crops and Products, 2012,35(1):92−97.
         [13]    Dong M, Zhong L.  Power modeling and  optimization  for OLED  displays. IEEE Trans. on  Mobile Computing,  2012,11(9):
             1587−1599.
         [14]    Choubey PK, Singh AK, Bankapur RB, et al. Content aware targeted image manipulation to reduce power consumption in OLED
             panels. In: Proc. of the 8th Int’l Conf. on Contemporary Computing (IC3). IEEE, 2015. 467−471.
         [15]    Borji A, Itti L. State-of-the-Art in visual attention modeling. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2013,35(1):
             185−207.
         [16]    Dong M, Choi YSK, Zhong L. Power modeling of graphical user interfaces on OLED displays. In: Proc. of the 46th Annual Design
             Automation Conf. ACM, 2009. 652−657.
         [17]    Dalton AB, Ellis CS. Sensing user intention and context for energy management. In: Proc. of the HotOS. 2003. 151−156.
         [18]    Xie X, Liu H, Goumaz S, et al. Learning user interest for image browsing on small-form-factor devices. In: Proc. of the SIGCHI
             Conf. on Human Factors in Computing Systems. ACM, 2005. 671−680.
         [19]    Wee TK, Balan RK. Adaptive display power management for OLED displays. In: Proc. of the 1st ACM Int’l Workshop on Mobile
             Gaming. ACM, 2012. 25−30.
         [20]    Wee TK, Okoshi T, Misra A, et al. FOCUS: A usable & effective approach to OLED display power management. In: Proc. of the
             2013 ACM Int’l Joint Conf. on Pervasive and Ubiquitous Computing. ACM, 2013. 573−582.
         [21]    Chen X, Nixon KW, Zhou H, et al. FingerShadow: An OLED power optimization based on smartphone touch interactions. In: Proc.
             of the HotPower. 2014.
         [22]    Chen H, Wang J, Chen W, et al. An image-space energy-saving visualization scheme for OLED displays. Computers & Graphics,
             2014,38:61−68.
         [23]    Hou X, Zhang L. Saliency detection: A spectral residual approach. In: Proc. of the IEEE Conf. on Computer Vision and Pattern
             Recognition (CVPR 2007). IEEE, 2007. 1−8.
         [24]    Borji A, Cheng MM,  Jiang H,  et  al. Salient object  detection: A benchmark. IEEE  Trans. on Image Processing, 2015,24(12):
             5706−5722.
   127   128   129   130   131   132   133   134   135   136   137