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SUTC
2010
IEEE
14 years 8 months ago
Reordering for Better Compressibility: Efficient Spatial Sampling in Wireless Sensor Networks
—Compressed Sensing (CS) is a novel sampling paradigm that tries to take data-compression concepts down to the sampling layer of a sensory system. It states that discrete compres...
Mohammadreza Mahmudimanesh, Abdelmajid Khelil, Nee...
ICIP
2003
IEEE
15 years 11 months ago
Shape adaptation for light field compression
We propose a method of using shape adaptation for compression of light fields of 3-D objects. Shape adaptation is incorporated into two light field coders, both applying disparity...
Chuo-Ling Chang, Xiaoqing Zhu, Prashant Ramanathan...
ICMCS
2006
IEEE
107views Multimedia» more  ICMCS 2006»
15 years 4 months ago
A Flexible Content-Based Approach to Adaptive Image Compression
Recent research in image compression has focused on lossy compression algorithms. However, the baseline implementations of such algorithms generally use a universal quantization p...
Alexander Wong, William Bishop
TIP
2002
116views more  TIP 2002»
14 years 9 months ago
Adaptive approximate nearest neighbor search for fractal image compression
Fractal image encoding is a computationally intensive method of compression due to its need to find the best match between image sub-blocks by repeatedly searching a large virtual...
Chong Sze Tong, Man Wong
SISAP
2010
IEEE
243views Data Mining» more  SISAP 2010»
14 years 7 months ago
Similarity matrix compression for efficient signature quadratic form distance computation
Determining similarities among multimedia objects is a fundamental task in many content-based retrieval, analysis, mining, and exploration applications. Among state-of-the-art sim...
Christian Beecks, Merih Seran Uysal, Thomas Seidl