Progressive transmission of images is an important functionality for communicating high resolution images over limited bandwidth networks. By encoding the image data in an accessible and hierarchical format, the JPEG 2000 standard supports many types of image progressions, e.g., based on quality, resolution, component and position. This paper considers a progressive transmission scheme in which codestream ordering and transmission decisions are driven entirely by the server, which is useful for classes of applications that employ image analysis at the server and perform streaming based on the results of this analysis. The proposed system aims to minimize signaling overhead and allow for incremental decoding and display with minimal processing delay. It also aims to fully exploit the various styles of progression that are enabled by the JPEG 2000 coding format. The performance of our proposed scheme is reported in terms of signaling overhead, complexity and visual effectiveness.
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.
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