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» Extraction of semantic objects from still images
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CVPR
2004
IEEE
16 years 1 months ago
Is Bottom-Up Attention Useful for Object Recognition?
A key problem in learning multiple objects from unlabeled images is that it is a priori impossible to tell which part of the image corresponds to each individual object, and which...
Ueli Rutishauser, Dirk Walther, Christof Koch, Pie...
IBPRIA
2003
Springer
15 years 5 months ago
Segmentation of Curvilinear Objects Using a~Watershed-Based Curve Adjacency Graph
Abstract. This paper presents a general framework to segment curvilinear objects in 2D images. A pre-processing step relies on mathematical morphology to obtain a connected line wh...
Thierry Géraud
ICIP
2007
IEEE
15 years 6 months ago
Image Matting in the Framework of Quantification IV
Image matting and segmentation, which are used to extract a foreground object from the background, are primary techniques for digital image and video editing. In digital matting, ...
Takumi Kobayashi, Tadaaki Hosaka, Nobuyuki Otsu
SCIA
2009
Springer
130views Image Analysis» more  SCIA 2009»
15 years 6 months ago
Improving Automatic Video Retrieval with Semantic Concept Detection
We study the usefulness of intermediate semantic concepts in bridging the semantic gap in automatic video retrieval. The results of a series of large-scale retrieval experiments, w...
Markus Koskela, Mats Sjöberg, Jorma Laaksonen
AGIS
2008
319views more  AGIS 2008»
14 years 12 months ago
An Efficient Algorithm for Raster-to-Vector Data Conversion
Data conversion from raster to vector (R2V) is a key function in Geographic Information Systems (GIS) and remote sensing (RS) image processing for integrating GIS and RS data. The...
Junhua Teng, Fahui Wang, Yu Liu