By James R. Wilcox
This exact factor includes a number of the awesome paintings initially offered on the ACM Multimedia convention 2003 (ACM MM 2003). The convention bought 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 greater models in their papers to this distinctive factor. those papers went via a rigorous evaluate strategy, and we're chuffed to offer 4 actually impressive papers during this specialissue. as a result of hugely aggressive evaluate method and constrained area, many glorious papers couldn't be permitted for this distinct factor. even though, a few of them are being forwarded for attention as destiny common papers during this magazine.
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Extra resources for ACM Transactions on Multimedia Computing, Communications and Applications (May)
8 and 4 megabytes, respectively. For these experiments, we first turned on the sensor and had it capture, compress, and stream data. The experiment then turned the network card on and off for the times shown in Figure 9(a). The “on” times are indicated by a value of 1 in the graph, while the “off ” state is shown as a value of 0. As ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 1, No. 2, May 2005. Panoptes: Scalable Low-Power Video Sensor Networking Technologies • 165 Fig.
2003] uses both local and global perceptual features to annotate images. Finally, Zhang et al. suggest the use of “semantic feature vector” to model images and incorporate the semantic classification into the relevance feedback for image retrieval [He et al. 2002; Wenyin et al. 2001; Wu et al. 2002]. All these approaches assume that C, P , and L are fixed. The ability to improve C, P , and L is where our proposed CDE approach differs from these static ones. The core of CDE is its ability to assess classification confidence.
It should be noted that the compression times using the IPP are dependent on the actual video content. In comparing the two platforms, it appears that the Stargate platform is able to outperform the Bitsy platform using the Intel Performance Primitives but cannot outperform it using the software compression algorithm. We believe that this is due to the fact that (i) the Xscale device has a faster processor and can take advantage of it when the working set is relatively small and (ii) the memory accesses in the Stargate seem to be a little slower than on the Bitsy.
ACM Transactions on Multimedia Computing, Communications and Applications (May) by James R. Wilcox