Irystec Personalization Platform Content adaptation for optimized power consumption in OLED displays

Irystec Software Inc.正在推出世界上第一个感知显示处理软件引擎。这项正在申请专利的技术显著改善了从智能手表到大屏幕显示器再到汽车的所有显示器观看体验，同时降低了显示功率，提高了可读性，并减少了眼睛疲劳。Irystec SmartDisplay渲染软件提供了显著改进的用户友好的视觉显示体验，并使观看体验个性化以适应年龄和性别、种族或视觉敏锐度。此Engage Plus项目是我们先前项目的延续，在该项目中，我们开发了一种集成算法，通过将年龄驱动的对比度和颜色适应模型统一到一个独特的模型中，考虑到CSF和CMF随观众年龄的变化而修改显示内容，即亮度、对比度和颜色。从这一适应中获得的结果发表在一篇会议文章中，目前正在被纳入Irystecc的生产软件中。在这个新的项目中，我们的目标是通过在模型中纳入时空显著信息来扩大年龄适应。显著程度是视觉注意力的一个指标，我们打算将其纳入适应过程，以优化所需的处理。这个项目最重要的目标是通过使用显著和年龄相关的颜色/亮度修改来调整内容以提高OLED显示器的功耗。我们还将通过使用来自显著性的信息来解决视频序列的修改问题，以减少对视频序列的处理需求。

Irystec Software Inc is introducing the world's first Perceptual Display Processing software engine. This patentpending technology significantly improves all display viewing experiences from smart watches to large screendisplays to cars while reducing display power, improving readability and reducing eye strain. Irystec smartdisplay rendering software provides a substantially improved user-friendly visual display experience andpersonalize the viewing experience to adjust for age and gender, ethnicity or visual acuity.This ENGAGE Plus project is a continuation to our previous ENGAGE in which we developed an integratedalgorithm to modify the displayed content, i.e. brightness, contrast and color, according to the age of the viewerby unifying the age-driven contrast and color adaptation models into a unique model that takes into account thevariability of the CSF and CMF with the age of the viewer. The results obtained from this adaptation werepublished in a conference article and are currently being incorporated into the production software of Irystec.In this new project we aim at expanding the age adaptation by incorporating spatio-temporal saliencyinformation into the model. Saliency is an indicator of visual attention and we intend to include it into theadaptation process in order to optimize the required processing. The most important objective of this project isthe adaptation of the content to improve the power consumption of OLED displays by using saliency and agedependent color/brightness modifications. We will also address the modification of video sequences by usinginformation from saliency to reduce the processing requirements for video sequences.