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SUTC
2010
IEEE
14 years 10 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
16 years 1 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 6 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 11 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 9 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