Collaborative Research: Retargetable Images and Video

协作研究：可重定向图像和视频

• 批准号: 0416284
• 负责人: Michael Gleicher
• 金额: --
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0416284&HistoricalAwards=false
• 关键词: Collaborative; Research; Retargetable; Images; Video

The PI will develop a methodology for transforming imagery such that it is more effective. This will enable practical systems for adapting imagery created for one device such that it works effectively on others. By providing methods for retargeting images and video to new devices, the PI will enable applications to make use of the proliferating computing and communications infrastructure. For example, it will become possible to provide effective informational images to cellular phones, training videos to PDAs, and status information to "heads up" displays. To these ends, the PI will establish an understanding and methodology for transformations that improve the effectiveness of imagery across a range of scenarios, and tools to create this imagery. This involves developing methods for determining what is important in the source imagery, methods for altering images to emphasize the important parts, and methods for evaluating the effectiveness of imagery. The PI's prior work shows that effectiveness transformations can be defined in specific domains and that these lead to practical tools for specific retargeting problems. In this project, the PI will build on and generalize these successes to a broader range of subject domains and viewing scenarios. The outcomes of this project will include a better understanding of what makes effective imagery, new methods for creating effective imagery, new guidelines for assessing the effectiveness of imagery, evaluations of the effectiveness of image alterations, as well as practical systems for image and video retargeting problems.Broader Impacts: Images can be a powerful mode for communication. Because of this, our computing infrastructure is evolving to deliver imagery. Ubiquitous high-speed networking provides imagery to home theater screens, cellular phone displays, networked PDAs, and even displays embedded in refrigerators, elevators and airplane seats. Unfortunately, imagery is little more than a novelty unless it is effective, that is, it achieves a communicative goal. Yet what makes imagery effective is elusive. It depends on subject matter and intended message. It also depends on the target display device and viewing situation; images effective on a wall-sized display may be ineffective on the display of a cellular phone. The techniques to be developed by the PI in this project will help make effective imagery a reality in a wide variety of situations and for a wide variety of devices, so that increasingly ubiquitous displays can provide people with information when and where they need it, more effective channels of inter-personal communication, and enhanced educational media and entertainment experiences.

PI将开发一种转换图像的方法，使其更有效。这将使实际系统能够适应为一个设备创建的图像，使其在其他设备上有效地工作。通过提供将图像和视频重新定位到新设备的方法，PI将使应用程序能够利用激增的计算和通信基础设施。例如，将有可能向移动电话提供有效的信息图像，向pda提供训练视频，并向“抬头”显示器提供状态信息。为此，PI将建立一种理解和方法，用于在一系列场景中提高图像的有效性，以及创建该图像的工具。这包括开发确定源图像中什么是重要的方法，改变图像以强调重要部分的方法，以及评估图像有效性的方法。PI先前的工作表明，可以在特定领域定义有效性转换，并且这些转换会导致针对特定重定向问题的实用工具。在这个项目中，PI将以这些成功为基础，并将其推广到更广泛的主题领域和观看场景。该项目的成果将包括更好地理解什么是有效的图像、创建有效图像的新方法、评估图像有效性的新指南、图像更改有效性的评估，以及用于图像和视频重定向问题的实用系统。更广泛的影响：图像可以成为一种强大的交流模式。正因为如此，我们的计算基础设施正在进化，以提供图像。无处不在的高速网络为家庭影院屏幕、移动电话显示器、联网pda甚至冰箱、电梯和飞机座椅中的显示器提供图像。不幸的是，除非它是有效的，也就是说，它达到了交际的目的，否则意象只不过是一种新奇的东西。然而，是什么让图像有效是难以捉摸的。这取决于主题和想要传达的信息。它还取决于目标显示设备和观看情况；在墙壁大小的显示器上有效的图像可能在移动电话的显示器上无效。PI在此项目中开发的技术将有助于在各种情况下和各种设备上实现有效的图像，从而使越来越无处不在的显示器可以随时随地为人们提供所需的信息，提供更有效的人际沟通渠道，并增强教育媒体和娱乐体验。