Motion video annotation and analysis: an overview

Proceedings of 27th Asilomar Conference on Signals, Systems and Computers Pub Date : 1993-11-01 DOI:10.1109/ACSSC.1993.342475

H. Sawhney

引用次数: 4

Abstract

Digital storage of images and videos requires staggering amounts of storage. A mere hour long digitized video can occupy a staggering 30GB of storage. With the increasing dependence of a variety of applications on digital storage, the need for automatic and semiautomatic annotation and analysis tools for intelligent video data indexing and manipulation will be strongly felt. Manual annotation of this data will be practically infeasible and insipid. The paper presents highlights of some of the important problems to be solved for automating the process. Computer vision techniques with a human-in-the-loop approach can provide a powerful workbench of algorithms and techniques for the task.<>

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动态视频注释与分析:概述

图像和视频的数字存储需要惊人的存储容量。仅仅一个小时长的数字化视频就可以占用惊人的30GB存储空间。随着各种应用对数字存储的依赖日益增加，对智能视频数据索引和操作的自动和半自动注释和分析工具的需求将会强烈地感觉到。手工注释这些数据实际上是不可行的，而且很乏味。本文重点介绍了该过程自动化需要解决的一些重要问题。采用人在环方法的计算机视觉技术可以为该任务提供强大的算法和技术工作台。

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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Proceedings of 27th Asilomar Conference on Signals, Systems and Computers

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