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Motivated by the paradigm of event-based monitoring, which can potentially alleviate the inherent bandwidth and energy constraints associated with wireless sensor networks, we consider the problem of joint coding of correlated sources under a cost criterion that is appropriately conditioned on event occurrences. The underlying premise is that individual sensors only have access to partial information...
In this paper we study how to encode W-long vectors, with N in the range of hundreds, at low bit rates of 0.5 bit per sample or lower. We adopt a vector quantization structure, where an overall gain is encoded with a scalar quantizer and the remaining scaled vector is encoded using a vector quantizer built out by combining smaller (length L) binary codes known to be efficient in filling the space,...
Distortion estimation techniques are often employed in bitplane coding engines to minimize the computational load, or the memory requirements, of the encoder. A common approach is to determine distortion estimators that approximate the mean squared error decreases when data are successively coded and transmitted. Such estimators usually assume that coefficients are uniformly distributed in the quantization...
The authors modify the conventional DPCM framework of motion-compensated video coding to improve its error resilience in a packet loss environment. The authors propose a system with two decoding modes based on whether a packet is lost or not, so as to minimize the combined distortion due to quantization and transmission errors.
Data deduplication is a popular dictionary based compression method in storage archival and backup. The deduplication efficiency improves for smaller chunk sizes, however the files become highly fragmented requiring many disk accesses during reconstruction or chattiness in a client-server architecture. Within the sequence of chunks that an object (file) is decomposed into, sub-sequences of adjacent...
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