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» Adaptive Feature Selection in Image Segmentation
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129
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MMM
2005
Springer
159views Multimedia» more  MMM 2005»
15 years 9 months ago
Region-Based Image Retrieval with High-Level Semantic Color Names
Performance of traditional content-based image retrieval systems is far from user’s expectation due to the ‘semantic gap’ between low-level visual features and the richness ...
Ying Liu, Dengsheng Zhang, Guojun Lu, Wei-Ying Ma
174
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SMI
2010
IEEE
188views Image Analysis» more  SMI 2010»
15 years 2 months ago
Sharp Feature Detection in Point Clouds
—This paper presents a new technique for detecting sharp features on point-sampled geometry. Sharp features of different nature and possessing angles varying from obtuse to acute...
Christopher Weber, Stefanie Hahmann, Hans Hagen
114
Voted
ICIP
2003
IEEE
16 years 5 months ago
Adaptive system on a chip (ASOC): a backbone for power-aware signal processing cores
For motion estimation (ME) and discrete cosine transform (DCT) of MPEG video encoding, content variation and perceptual tolerance in video signals can be exploited to gracefully t...
Andrew Laffely, Jian Liang, Russell Tessier, Wayne...
144
Voted
ICIP
2010
IEEE
15 years 1 months ago
Earth Mover Distance on superpixels
Earth Mover Distance (EMD) is a popular distance to compute distances between Probability Density Functions (PDFs). It has been successfully applied in a wide selection of problem...
Sylvain Boltz, Frank Nielsen, Stefano Soatto
143
Voted
TVLSI
2010
14 years 10 months ago
Bandwidth Adaptive Hardware Architecture of K-Means Clustering for Video Analysis
K-Means is a clustering algorithm that is widely applied in many fields, including pattern classification and multimedia analysis. Due to real-time requirements and computational-c...
Tse-Wei Chen, Shao-Yi Chien