Scalable Video Coding in Digital CCTV
Keywords:
Discrete Pseudo-Cosine Transform, Scalable Video Coding, CCTVAbstract
Purpose: The existing CCTV systems have several drawbacks; one of them is low resistance to packet errors in communication channels. The purpose of this study is to enhance the existing video surveillance system using discrete pseudo cosine transformation and the principle of constant color brightness to increase resistance of the generated video stream to errors in communication channels. Results: There have been described the major functional blocks of a CCTV system using discrete pseudo cosine transformation and the principle of constant color brightness for subsequent improving the application of scalable video coding. There have been considered methods for scalable video codecs using a discrete (pseudo-) cosine transformation. There have been compared types of scalable video coding applied to the surveillance system using discrete pseudo cosine transformation and the principle of constant color brightness in terms of limited hardware resources, it has shown that the application of scalable video coding with SNR scaling is the most effective scalability regarding of hardware implementation. Investigation of the influence of packet loss in a communication channel on the scalable video stream generated by the system using discrete pseudo cosine transformation, the principle of constant color brightness and scalable coding has demonstrated that the application of scalable video coding with SNR scaling can lead to improve peak signal-to-noise ratio up to 6 decibels comparing to the basic coding scheme without scalable expansion. Practical relevance: The research results of scalable coding have allowed creating a coding system with the improved noise resistance characteristics regarding transmission of color information for hardware implementations of video surveillance systems.