运动场景建模的算法和系统

V. Bove
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引用次数: 1

摘要

在本文中,我描述了机器视觉技术在视频编码中的应用,以创建我的研究小组所称的面向对象电视,其中运动场景以对象的形式表示(通过分析方法恢复)。除了数据紧凑性之外,这种表示还提供了为内容创建和显示添加新自由度的能力。我讨论了一些场景分析问题(特别是2-D和3-D模型拟合和对象分割)以及我的团队用来解决这些问题的算法方法;为紧凑、强大、可编程的解码硬件提出计算策略(特别是结合自动资源管理的基于流的计算);并展示我们开发的一些应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithms and systems for modeling moving scenes
In this paper I describe the application of machine-vision techniques to video coding in order to create what my research group calls object-oriented television, where moving scenes are represented in terms of objects (as recovered by analysis methods). Beyond data compactness, such a representation offers the ability to add new degrees of freedom to content creation and display. I discuss some of the scene analysis problems (particularly 2-D and 3-D model-fitting and object segmentation) and the algorithmic approaches my group has taken to solve them; suggest computational strategies for compact, powerful, programmable decoding hardware (particularly stream-based computing combined with automatic resource management); and demonstrate some of the applications we have developed.
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