By James R. Wilcox
This unique factor contains many of the extraordinary paintings initially awarded on the ACM Multimedia convention 2003 (ACM MM 2003). The convention acquired 255 submissions, of which forty three top quality papers have been authorised for presentation. of those papers, the Technical software Chairs invited a dozen authors to put up more desirable models in their papers to this specified factor. those papers went via a rigorous evaluate strategy, and we're chuffed to give 4 actually remarkable papers during this specialissue. as a result of the hugely aggressive review procedure and restricted house, many fantastic papers couldn't be authorised for this certain factor. in spite of the fact that, a few of them are being forwarded for attention as destiny general papers during this magazine.
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Extra info for ACM Transactions on Multimedia Computing, Communications and Applications (May)
That is, the jump in power required to add the camera with and without the network card in is approximately the same. In seconds 27–38, we show the entire system running. As one would expect with a wireless network, the amount of power being drawn is fairly variable over time. Between seconds 38–40, we removed the camera and the network card, returning the system to idle. We then ran the CPU in a tight computational loop to show the power requirements while being fully burdened. 5 watts of power.
1, No. 2, May 2005. -C. Feng et al. the scalability of the system. Although we have all three components running on a single host, it is possible to have them on geographically separated hosts. 4. EXPERIMENTATION In the first part of this section, we will describe the experimental results that we obtained from the various components of the video sensor including metrics such as power consumption, frame rate, and adaptability to networking resources. 1 USB Performance One of the interesting limitations of using standard USB to receive the video data from the camera is that its internal bandwidth is limited to 12 megabits per second.
These techniques can be directly applied to the Panoptes sensor. 6. CONCLUSION In this article, we have described our initial design and implementation of the Panoptes video sensor networking platform. There are a number of significant contributions that this article describes. First, we have developed a low-power, high-quality video capturing platform that can serve as the basis of video-based sensor networks as well as other application areas such as virtual reality or robotics. Second, we have designed a prioritizing buffer management algorithm that can effectively deal with intermittent network connectivity or disconnected operation to save power.