Approximate World Models: Incorporating Qualitative and Linguistic Information into Vision Systems
Approximate World Models: Incorporating Qualitative and Linguistic Information into Vision Systems
复制标题
近似世界模型：将定性和语言信息纳入视觉系统
DOI：
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发表时间：
1996
期刊：
影响因子：
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通讯作者：
A. Bobick
中科院分区：
文献类型：
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作者：
Claudio S. Pinhanez;A. Bobick
近似世界模型是对场景元素的粗略描述，旨在用于选择和控制视觉系统中的视觉例程。在本文中，我们提出了一个控制架构，其中的近似模型表示在世界上的对象之间的复杂关系，允许视觉例程的情况或上下文特定的。此外，由于其降低的精度要求，近似世界模型可以采用定性信息，如提供的语言描述的场景。这一概念在为电视演播室开发自动摄像机- SmartCams中得到了证明。结果显示，SmartCams使用真实的图像和电视节目脚本中写入的信息的视觉处理来实现电视质量的帧。
Approximate world models are coarse descriptions of the elements of a scene, and are intended to be used in the selection and control of vision routines in a vision system. In this paper we present a control architecture in which the approximate models represent the complex relationships among the objects in the world, allowing the vision routines to be situation or context specific. Moreover, because of their reduced accuracy requirements, approximate world models can employ qualitative information such as those provided by linguistic descriptions of the scene. The concept is demonstrated in the development of automatic cameras for a TV studio - SmartCams. Results are shown where SmartCams use vision processing of real imagery and information written in the script of a TV show to achieve TV-quality framing.
影响因子：
14.4
作者：
ALLEN, JF
通讯作者：
ALLEN, JF