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.
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.
This paper describes a moving object detection method using H.263 coded data. For video surveillance systems, it is necessary to detect unusual states because there are a lot of cameras in the system and video surveillance is tedious in normal states. We examine the information extracted from H.263 coded data and propose a method of detecting alarm events from that information. Our method consists of two steps. In the first step, using motion vector information, a moving object can be detected based on the vector's size and the similarities between the vectors in one frame and the two adjoining frames. In the second step, using DCT coefficients, the detection errors caused by the change of the luminous intensity can be eliminated based on the characteristics of the H.263's DCT coefficients. Thus moving objects are detected by analyzing the motion vectors and DCT coefficients, and we present some experimental results that show the effectiveness of our method.
KEYWORDS: 3D modeling, Video surveillance, Video, Human-machine interfaces, Surveillance, Cameras, 3D video streaming, Digital video recorders, 3D displays, Computer security
These days fewer people, who must carry out their tasks quickly and precisely, are required in industrial surveillance and monitoring applications such as plant control or building security. Utilizing multimedia technology is a good approach to meet this need, and we previously developed Media Controller, which is designed for the applications and provides realtime recording and retrieval of digital video data in a distributed environment. In this paper, we propose a user interface for such a distributed video surveillance system in which 3D models of buildings and facilities are connected to the surveillance video. A novel method of synchronizing camera field data with each frame of a video stream is considered. This method records and reads the camera field data similarity to the video data and transmits it synchronously with the video stream. This enables the user interface to have such useful functions as comprehending the camera field immediately and providing clues when visibility is poor, for not only live video but also playback video. We have also implemented and evaluated the display function which makes surveillance video and 3D model work together using Media Controller with Java and Virtual Reality Modeling Language employed for multi-purpose and intranet use of 3D model.
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