Mi Ae Ko , Young Mo Kim , Kwang Sik Koh

The KIPS Transactions:PartB , Vol. 10, No. 1, pp. 95-102, Feb. 2003
10.3745/KIPSTB.2003.10.1.95,   PDF Download:

Abstract

In surveillance video system, there are many classes of images and some spatial regions are more important than other regions. The conventional compression method in this system have been compressed there full frames without classfying them depend on their important parts. To improve the accuracy of the image coding and deliver effective compression for the surveillance video system, it was necessary to separate the regions according to their importance. In this paper, we propose a new effective surveillance video image compression method. The proposed scheme defines importance based three-level region of interest block in a frame, such as background, motion object block, and the feature object block. A captured video image frame can be separated to these three different levels of block regions. And depends on the priority, each block can be modified and compressed in different resolution, compression ratio and quality factor. Therefore, in surveillance video system, this algorithm not only reduces the image processing time and space, but also guarantees the important image data in high quality to acquire the system큦 goal.

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