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» Quantization of Sparse Representations
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MMM
2008
Springer
128views Multimedia» more  MMM 2008»
14 years 2 months ago
Semantic Quantization of 3D Human Motion Capture Data Through Spatial-Temporal Feature Extraction
3D motion capture is a form of multimedia data that is widely used in animation and medical fields (such as physical medicine and rehabilitation where body joint analysis is neede...
Yohan Jin, B. Prabhakaran
ICMCS
2006
IEEE
150views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Hierarchical Summarization of Videos by Tree-Structured Vector Quantization
Accurate grouping of video shots could lead to semantic indexing of video segments for content analysis and retrieval. This paper introduces a novel cluster analysis which, depend...
Sergio Benini, Aldo Bianchetti, Riccardo Leonardi,...
JMLR
2012
11 years 10 months ago
Multi-label Subspace Ensemble
A challenging problem of multi-label learning is that both the label space and the model complexity will grow rapidly with the increase in the number of labels, and thus makes the...
Tianyi Zhou, Dacheng Tao
TIP
2010
162views more  TIP 2010»
13 years 2 months ago
Super-Resolution With Sparse Mixing Estimators
We introduce a class of inverse problem estimators computed by mixing adaptively a family of linear estimators corresponding to different priors. Sparse mixing weights are calcula...
Stéphane Mallat, Guoshen Yu
ICASSP
2011
IEEE
12 years 11 months ago
Learning sparse dictionaries with a popularity-based model
Sparse signal representation based on overcomplete dictionaries has recently been extensively investigated, rendering the state-of-the-art results in signal, image and video proce...
Jianzhou Feng, Li Song, Xiaoming Huo, Xiaokang Yan...