SBIR Phase I: New Compression Techniques for Surveillance Video

这个小型企业创新研究（SBIR）第一阶段项目将调查和评估一类专门为数字CCTV（闭路电视）系统设计的新型视频压缩算法。 随着监控视频系统市场日益数字化，“压缩已成为一项关键的使能技术。 目前的系统采用保守的、标准的和通用的压缩算法，这些算法经常导致对象运动不稳定以及存储器和网络带宽的浪费。 这个项目将研究一种新的压缩算法，可以显着提高图像质量的比特率低于或相当于目前的系统/产品。这是通过利用监控视频的特殊特性，并通过采用分割模型。其结果将是一个原型软件模块，可安装在数字CCTV系统中作为其压缩单元。该技术可用于监控银行，机场，政府和企业建筑物的视频监控系统。

This Small Business Innovation Research (SBIR) Phase I project will investigate and evaluate a new class of video compression algorithms specifically designed for digital CCTV (closed circuit TV) systems. As the market for surveillance video systems has been increasingly becoming digital,"compression has become a critical enabling technology. Current systems employ conservative, standard, and generic compression algorithms that often result in jerky object motion and waste of memory and network bandwidth. This project will investigate a new class of compression algorithm that can significantly improve picture quality at bit-rates lower than or comparable to those in current systems/products. This is done by exploiting the special characteristics of surveillance video and by adopting a segmentation model. The result will be a prototype software module that can be installed in digital CCTV systems as their compression units.This technology can be used in video surveillance systems for monitoring banks, airports, government and corporate buildings.