This paper presents a video surveillance system that displays mega-pixel streams effectively, while transmitting and processing the streams efficiently with limited resources such as bandwidth, computing power and display resolution. The proposed system stores high-resolution and high-quality video data and associated object metadata, which includes ROI (Region-of-Interest) information. To satisfy such resource constraints and display important parts in detail without missing the overall scene context, the stored images are efficiently transcoded in the compressed-domain based on the ROI information, display resolution and available bandwidth. Simulation results confirm the effectiveness of the proposed system in terms of objective measures and subjective evaluation.
This paper presents a quality scalable Region-of-Interest (ROI) transcoding technique for JPEG2000 image transmission over narrowband networks. The proposed scheme employs a structure analysis of the bitstream, packet extraction and reorganization, as well as a prioritization of ROIs and background with desired qualities. Since the proposed scheme does not involve any re-encoding operation, either for the wavelet coefficients or for the packet header, it has very low complexity. This paper studies the output picture quality of various transcoder configurations, discusses the bandwidth savings achieved by the scheme and also presents a complexity evaluation. Experimental results show that significant bandwidth reduction for image transmission is achieved and image quality for monitoring surveillance video is maintained with a very minimal amount of complexity in the transcoder.
In a surveillance system with a huge number of cameras, the number of videos to be transmitted and displayed is usually restricted by network bandwidth and the resource of display terminal. Given that the source video is captured at high quality, a network transcoder is used to send video with lower data rate as the default for ordinary scenes, while only extraordinary or unusual scenes are sent with higher quality. With such a scenario, it is necessary to switch from a low quality version of the video to a higher quality video with low latency and in a seamless manner. This paper presents a network transcoder that is able to change the content and the quality of videos seamlessly and with low latency. The novelty of the proposed scheme is possible to change the quality and camera in the same session. Moreover, this paper describes an RTSP enhancement that enables this dynamic transcoding function. Finally, an evaluation of the results is provided.
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