An Online Video Composition System

Qiong Liu, Xiaojin Shi, Don Kimber, F. Zhao, Frank Raab
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引用次数: 9

Abstract

This paper presents an information-driven online video composition system. The composition work handled by the system includes dynamically setting multiple pan/tilt/zoom (PTZ) cameras to proper poses and selecting the best close-up view for passive viewers. The main idea of the composition system is to maximize captured video information with limited cameras. Unlike video composition based on heuristic rules, our video composition is formulated as a process of minimizing distortions between ideal signals (i.e. signals with infinite spatial-temporal resolution) and displayed signals. The formulation is consistent with many well-known empirical approaches widely used in previous systems and may provide analytical explanations to those approaches. Moreover, it provides a novel approach for studying video composition tasks systematically. The composition system allows each user to select a personal close-up view. It manages PTZ cameras and a video switcher based on both signal characteristics and users' view selections. Additionally, it can automate the video composition process based on past users' view-selections when immediate selections are not available. We demonstrate the performance of this system with real meetings
一个在线视频合成系统
本文提出了一个信息驱动的在线视频合成系统。系统处理的构图工作包括动态设置多个平移/倾斜/变焦(PTZ)相机到适当的姿势,并为被动观众选择最佳的特写视图。合成系统的主要思想是在有限的摄像机下最大限度地捕获视频信息。与基于启发式规则的视频合成不同,我们的视频合成是将理想信号(即具有无限时空分辨率的信号)与显示信号之间的扭曲最小化的过程。该公式与以前系统中广泛使用的许多众所周知的经验方法一致,并且可以为这些方法提供分析解释。为系统地研究视频合成任务提供了一种新的方法。构图系统允许每个用户选择个人特写视图。它根据信号特性和用户的视图选择来管理PTZ摄像机和视频切换器。此外,当即时选择不可用时,它可以根据过去用户的视图选择自动完成视频合成过程。通过实际会议验证了该系统的性能
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