Sciweavers

382 search results - page 15 / 77
» Using Maximum Entropy for Automatic Image Annotation
Sort
View
ISCAS
2003
IEEE
345views Hardware» more  ISCAS 2003»
14 years 1 months ago
An efficient blood vessel detection algorithm for retinal images using local entropy thresholding
This paper presents an efficient method for automatic detection and extraction of blood vessels in retinal images. Specifically, we also delineate vascular intersections/crossov...
Thitiporn Chanwimaluang, Guoliang Fan
COLING
2008
13 years 9 months ago
OntoNotes: Corpus Cleanup of Mistaken Agreement Using Word Sense Disambiguation
Annotated corpora are only useful if their annotations are consistent. Most large-scale annotation efforts take special measures to reconcile inter-annotator disagreement. To date...
Liang-Chih Yu, Chung-Hsien Wu, Eduard H. Hovy
ICMCS
2009
IEEE
102views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Visual word pairs for automatic image annotation
The bag-of-visual-words is a popular representation for images that has proven to be quite effective for automatic annotation. In this paper, we extend this representation in orde...
Nicolas Hervé, Nozha Boujemaa
MMM
2012
Springer
313views Multimedia» more  MMM 2012»
12 years 3 months ago
Combining Image-Level and Segment-Level Models for Automatic Annotation
Abstract. For the task of assigning labels to an image to summarize its contents, many early attempts use segment-level information and try to determine which parts of the images c...
Daniel Küttel, Matthieu Guillaumin, Vittorio ...
PSIVT
2007
Springer
170views Multimedia» more  PSIVT 2007»
14 years 2 months ago
Markov Random Fields and Spatial Information to Improve Automatic Image Annotation
Content-based image retrieval (CBIR) is currently limited because of the lack of representational power of the low-level image features, which fail to properly represent the actual...
Carlos Hernández-Gracidas, Luis Enrique Suc...