智能实时视频系统的发展方向

V. Boyun
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引用次数: 13

摘要

报告对智能实时视频系统(技术视觉系统)的两个发展方向进行了探讨。第一个方向是提高视频系统的智能化,代价是开发新的信息基础和视频信息感知过程的动态模型,控制读取视频信息参数的原则,以减少视频序列表示的冗余并使其适应具体任务的要求。第二个方向与直接在视频传感器矩阵上并行感知和处理信息的新架构的发展有关,这排除了对读取、模数转换和视频信息处理的顺序过程的详细编程的需要。在人类视觉分析仪中所发生的结构特性、注意和适应机制、视网膜层神经元的专门化和神经元网络信息处理的广泛并行性,作为这两个方向的原型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Directions of development of intelligent real time video systems
Two directions of development of intelligent real time video systems (technical vision systems) are considered in the report. First direction consists in increasing intellectuality of video systems at the cost of development of new information basis and dynamic models of video information perception processes, principles of control reading parameters of video information for reducing redundancy of video sequence representation and for adaptation them to the requirements of concrete task. Second direction is associated with development of new architectures for parallel perception and processing of information directly on a video sensor matrix, that excludes the need of detailed programming of sequential processes of reading, analog-to-digital conversion and processing of video information. Peculiarities of construction, mechanisms of attention and adaptation, specialization of neurons on the retinal layers and wide parallelism of information processing on neuron network, which take place in a human visual analyzer, are used as a prototype for both directions.
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