By James R. Wilcox
This unique factor includes the various notable paintings initially awarded on the ACM Multimedia convention 2003 (ACM MM 2003). The convention acquired 255 submissions, of which forty three high quality papers have been permitted for presentation. of those papers, the Technical application Chairs invited a dozen authors to put up stronger models in their papers to this unique factor. those papers went via a rigorous evaluate approach, and we're satisfied to offer 4 actually impressive papers during this specialissue. end result of the hugely aggressive assessment procedure and restricted area, many glorious papers couldn't be accredited for this designated factor. even though, a few of them are being forwarded for attention as destiny usual papers during this magazine.
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Additional resources for ACM Transactions on Multimedia Computing, Communications and Applications (May)
05 watts of power). We have summarized the results in Table V. The most important thing to draw from the experiments is that in a given state, the power consumed by the sensor is relatively constant over time. The only exception comes when performing network transmission. As a result, we expect that the algorithms for power management that are being worked on by others might fit into this framework without much modification. We suspect that the Stargate sensor will have approximately 1–2 watts less power dissipation than the Bitsy board.
The camera manager also handles all the incoming video from the video sensors. In order to maximize the scalability of the sensor system, multiple camera managers can be used. One important part of the camera manager is that it creates an event overview map using the bit-mapped information that is passed from the video sensor. The purpose of the event overview map is to create an overview of the entire event to aid in the efficient querying of the video data. The event overview map can be constructed in a number of ways.
Top Voting Score Vp = CFm (ωb). ωb = Definition 4. Voting Margin Vm = V p − max 1≤c≤M ,c= CFm (ωb), ωb =c under the situation of unanimous voting, Vm = V p . ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 1, No. 2, May 2005. 174 • K. Goh et al. Finally, we define the confidence of the overall prediction as V p × g (Vm ) . (8) B The denominator in the equation above is to normalize the confidence factor to be within the range [0, 1]. A prediction with a high CF is more likely to be accurate.