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» A Probability Model for Image Annotation
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PR
2002
64views more  PR 2002»
14 years 9 months ago
Spatial-temporal joint probability images for video segmentation
E ective annotation and content-based search for videos in a digital library require a preprocessing step of detecting, locating and classifying scene transitions, i.e., temporal ...
Ze-Nian Li, Xiang Zhong, Mark S. Drew
CIVR
2009
Springer
151views Image Analysis» more  CIVR 2009»
15 years 4 months ago
Reusing annotation labor for concept selection
Describing shots through the occurrence of semantic concepts is the first step towards modeling the content of a video semantically. An important challenge is to automatically se...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries
JVCIR
2010
147views more  JVCIR 2010»
14 years 8 months ago
Modeling, classifying and annotating weakly annotated images using Bayesian network
We propose a probabilistic graphical model to represent weakly annotated images1 . This model is used to classify images and automatically extend existing annotations to new image...
Sabine Barrat, Salvatore Tabbone
CVPR
2007
IEEE
15 years 11 months ago
Probabilistic Reverse Annotation for Large Scale Image Retrieval
Automatic annotation is an elegant alternative to explicit recognition in images. In annotation, the image is matched with keyword models, and the most relevant keywords are assig...
K. Pramod Sankar, C. V. Jawahar
85
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DAGM
2006
Springer
15 years 1 months ago
Feature Selection for Automatic Image Annotation
Automatic image annotation empowers the user to search an image database using keywords, which is often a more practical option than a query-by-example approach. In this work, we p...
Lokesh Setia, Hans Burkhardt