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MOBILWARE
2009
ACM
16 years 1 months ago
Map-Based Compressive Sensing Model for Wireless Sensor Network Architecture, A Starting Point
Sub-Nyquist sampling techniques for Wireless Sensor Networks (WSN) are gaining increasing attention as an alternative method to capture natural events with desired quality while mi...
Mohammadreza Mahmudimanesh, Abdelmajid Khelil, Nas...
218
Voted
VISUAL
2005
Springer
16 years 7 days ago
Compressed Domain Image Retrieval Using JPEG2000 and Gaussian Mixture Models
We describe and compare three probabilistic ways to perform Content Based Image Retrieval (CBIR) in compressed domain using images in JPEG2000 format. Our main focus are arbitrary ...
Alexandra Teynor, Wolfgang Müller, Wolfgang L...
157
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DCC
2010
IEEE
16 years 2 days ago
Modeling the Quantization Staircase Function
Quantization plays a central role in data compression. In speech systems, vector quantizers are used to compress speech parameters. In video systems, scalar quantizers are used to...
Salman Aslam, Aaron F. Bobick, Christopher F. Barn...
169
Voted
IPM
2011
71views more  IPM 2011»
14 years 10 months ago
Improving semistatic compression via phrase-based modeling
In recent years, new semistatic word-based byte-oriented text compressors, such as Tagged Huffman and those based on Dense Codes, have shown that it is possible to perform fast d...
Nieves R. Brisaboa, Antonio Fariña, Gonzalo...
TASLP
2010
134views more  TASLP 2010»
15 years 1 months ago
Autoregressive Models of Amplitude Modulations in Audio Compression
We present a scalable medium bit-rate wide-band audio coding technique based on frequency domain linear prediction (FDLP). FDLP is an efficient method for representing the long-ter...
Sriram Ganapathy, Petr Motlícek, Hynek Herm...