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 将开发一种图像转换方法，使其更加有效。 这将使实用的系统能够适应为一台设备创建的图像，以便它在其他设备上有效地工作。 通过提供将图像和视频重定向到新设备的方法，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，向蜂窝电话提供有效的信息图像、向 PDA 提供培训视频以及向“平视”显示器提供状态信息将成为可能。 为此，PI 将建立对转换的理解和方法，以提高各种场景中图像的有效性，以及创建此图像的工具。这涉及开发确定源图像中重要内容的方法、更改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 之前的工作表明，可以在特定领域定义有效性转换，并且这些可以为特定的重定向问题提供实用的工具。 在这个项目中，PI 将借鉴这些成功经验，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有效图像的构成要素、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图像和视频重定向的实用系统问题。更广泛的影响：图像可以成为一种强大的沟通方式。 因此，我们的计算基础设施正在不断发展以提供图像。 无处不在的高速网络为家庭影院屏幕、手机显示屏、联网 PDA，甚至冰箱、电梯和飞机座椅中嵌入的显示屏提供图像。 不幸的是，除非图像有效，即它实现了交流目标，否则它只不过是一种新奇事物。 然而，是什么让图像变得有效却是难以捉摸的。 这取决于主题和预期信息。 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在移动电话的显示器上可能无效。 PI 在该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，以便日益无处不在的显示器可以随时随地为人们提供需要的信息，更多人际沟通的有效渠道，增强教育媒体和娱乐体验。