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» Using Maximum Entropy for Automatic Image Annotation
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ICIP
2007
IEEE
14 years 9 months ago
Automatic Parametrisation for an Image Completion Method Based on Markov Random Fields
Recently, a new exemplar-based method for image completion, texture synthesis and image inpainting was proposed which uses a discrete global optimization strategy based on Markov ...
Huy Tho Ho, Roland Göcke
MMM
2007
Springer
114views Multimedia» more  MMM 2007»
14 years 2 months ago
Mining Multiple Visual Appearances of Semantics for Image Annotation
This paper investigates the problem of learning the visual semantics of keyword categories for automatic image annotation. Supervised learning algorithms which learn only a single ...
Hung-Khoon Tan, Chong-Wah Ngo
INFORMATICALT
2007
136views more  INFORMATICALT 2007»
13 years 7 months ago
Generic Multimedia Database Architecture Based upon Semantic Libraries
Semantic-based storage and retrieval of multimedia data requires accurate annotation of the data. Annotation can be done either manually or automatically. The retrieval performance...
Omara Abdul Hamid, Muhammad Abdul Qadir, Nadeem If...
IVC
2008
69views more  IVC 2008»
13 years 7 months ago
Unsupervised texture classification: Automatically discover and classify texture patterns
In this paper, we present a novel approach to classify texture collections. This approach does not require experts to provide annotated training set. Given the image collection, w...
Lei Qin, Qingfang Zheng, Shuqiang Jiang, Qingming ...
ISBI
2008
IEEE
14 years 2 months ago
Fully automatic 3D reconstruction of histological images
In this paper, we propose a computational framework for 3D volume reconstruction from 2D histological slices using registration algorithms in feature space. To improve the quality ...
Ulas Bagci, Li Bai