PixelTone: a multimodal interface for image editing

Jason Linder, Gierad Laput, Mira Dontcheva, G. Wilensky, W. Chang, A. Agarwala, Eytan Adar
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引用次数: 80

Abstract

Photo editing can be a challenging task, and it becomes even more difficult on the small, portable screens of mobile devices that are now frequently used to capture and edit images. To address this problem we present PixelTone, a multimodal photo editing interface that combines speech and direct manipulation. In this video, we demonstrate how our system uses natural language for expressing users' desired changes to an image. We also demonstrate how we combine natural language and touch gestures for creating named references and sketching to localize image operations to specific regions.
PixelTone:用于图像编辑的多模态界面
照片编辑可能是一项具有挑战性的任务,在现在经常用于捕捉和编辑图像的移动设备的小便携屏幕上,它变得更加困难。为了解决这个问题,我们提出了PixelTone,一个结合了语音和直接操作的多模态照片编辑界面。在这个视频中,我们演示了我们的系统如何使用自然语言来表达用户对图像的期望更改。我们还演示了如何结合自然语言和触摸手势来创建命名引用和素描,以将图像操作本地化到特定区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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