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» Multi-Label Sparse Coding for Automatic Image Annotation
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ICIP
2009
IEEE
15 years 2 months ago
An automatic Structure-Aware image extrapolation applied to error concealment
A novel framework for spatially estimating unknown image data is presented. Common applications include inpainting, concealment of transmission errors, prediction in video coding,...
Haricharan Lakshman, Patrick Ndjiki-Nya, Martin K&...
CVPR
2009
IEEE
15 years 11 months ago
Contextual decomposition of multi-label images
Most research on image decomposition, e.g. image segmentation and image parsing, has predominantly focused on the low-level visual clues within single image and neglected the cont...
Teng Li, Tao Mei, Shuicheng Yan, In-So Kweon, Chil...
CVPR
2012
IEEE
13 years 6 months ago
See all by looking at a few: Sparse modeling for finding representative objects
We consider the problem of finding a few representatives for a dataset, i.e., a subset of data points that efficiently describes the entire dataset. We assume that each data poi...
Ehsan Elhamifar, Guillermo Sapiro, René Vid...
IPPS
2009
IEEE
15 years 11 months ago
Annotation-based empirical performance tuning using Orio
In many scientific applications, significant time is spent tuning codes for a particular highperformance architecture. Tuning approaches range from the relatively nonintrusive (...
Albert Hartono, Boyana Norris, Ponnuswamy Sadayapp...
CVPR
2010
IEEE
15 years 3 months ago
Nonparametric Label-to-Region by Search
In this work, we investigate how to propagate annotated labels for a given single image from the image-level to their corresponding semantic regions, namely Label-toRegion (L2R), ...
Xiaobai Liu, Shuicheng Yan, Jiebo Luo