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ICPR
2008
IEEE
14 years 10 months ago
3D Shape Context and Distance Transform for action recognition
We propose the use of 3D (2D+time) Shape Context to recognize the spatial and temporal details inherent in human actions. We represent an action in a video sequence by a 3D point ...
Franziska Meier, Irfan A. Essa, Matthias Grundmann
ICIP
2006
IEEE
14 years 11 months ago
Unsupervised Image Layout Extraction
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
David Liu, Datong Chen, Tsuhan Chen
IMCSIT
2010
13 years 7 months ago
Learning taxonomic relations from a set of text documents
This paper presents a methodology for learning taxonomic relations from a set of documents that each explain one of the concepts. Three different feature extraction approaches with...
Mari-Sanna Paukkeri, Alberto Pérez Garc&iac...
TKDE
1998
102views more  TKDE 1998»
13 years 9 months ago
Fast and Effective Retrieval of Medical Tumor Shapes
—We investigate the problem of retrieving similar shapes from a large database; in particular, we focus on medical tumor shapes (“Find tumors that are similar to a given patter...
Flip Korn, Nikolaos Sidiropoulos, Christos Falouts...
PCM
2004
Springer
236views Multimedia» more  PCM 2004»
14 years 2 months ago
Automatic Salient-Object Extraction Using the Contrast Map and Salient Points
In this paper, we propose a salient object extraction method using the contrast map and salient points for object-based image retrieval. In order to make the contrast map, we gener...
Soo Yeong Kwak, ByoungChul Ko, Hyeran Byun