Results 261 to 270 of about 253,119 (310)

Fuzzy Clustering to Encode Contextual Information in Artistic Image Classification

2022
Automatic art analysis comprises of utilizing diverse processing methods to classify and categorize works of art. When working with this kind of pictures, we have to take under consideration different considerations compared to classical picture handling, since works of art alter definitely depending on the creator, the scene delineated or their ...
Javier Fumanal-Idocin, Zdenko Takáč, L’ubomíra Horanská, Humberto Bustince, Oscar Cordon   +4 more
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Contextual Pooling in Image Classification

2013
The original bag-of-words (BoW) model in terms of image classification treats each local feature independently, and thus ignores the spatial relationships between a feature and its neighboring features, namely, the feature's context. However, our intuition and empirical studies tell the importance of such spatial information.
Zifeng Wu, Yongzhen Huang, Liang Wang, Tieniu Tan   +3 more
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Contextual superpixel description for remote sensing image classification

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015
The performance of pattern classifiers depends on the separability of the classes in the feature space — a property related to the quality of the descriptors — and the choice of informative training samples for user labeling — a procedure that usually requires active learning.
J. E. Vargas, A. X. Falcao, J. A. dos Santos, J. C. D. M. Esquerdo, A. C. Coutinho, J. F. G. Antunes   +5 more
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Contextual Online Dictionary Learning for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing, 2018
Sparse representation (SR) has been successfully used in the classification of hyperspectral images (HSIs) by representing HSI pixels over a dictionary and yielding discriminative sparse coefficients. Most of SR-based classification methods construct the dictionary by directly using some labeled pixels as atoms.
Wei Fu, Shutao Li, Leyuan Fang, Jon Atli Benediktsson   +3 more
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A new deterministic annealing for image contextual classification

2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002
As an alternative to strict gradient descent-based procedures, we propose here a new deterministic annealing (DA) optimization approach for Bayesian-MRF contextual classification of images. The proposed DA builds on recent approaches that capture some of the power of the stochastic annealing optimization methods while reducing computational complexity ...
S. Chitroub, A. Houacine, A. Allaoua, M.D. Aroua, B. Sansal   +4 more
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Fuzzy contextual classification of multisource remote sensing images

IEEE Transactions on Geoscience and Remote Sensing, 1997
The authors' objective has been to model satellite image classification as a cognitive process, providing a procedure that mimics the rich interaction of human activity in solving classification problems. The key features of this approach are the definition of a knowledge-based classification methodology designed to integrate contextual information ...
E. Binaghi, P. Madella, M. Grazia Montesano, A. Rampini   +3 more
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Contextual Exemplar Classifier-Based Image Representation for Classification

IEEE Transactions on Circuits and Systems for Video Technology, 2017
The use of local features for image representation has become popular in recent years. Local features are often used in the bag-of-visual-words scheme. Although proven effective, this method still has two drawbacks. First, local regions from which local features are extracted are not discriminative enough for visual tasks.
Chunjie Zhang, Qingming Huang, Qi Tian
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Contextual Possibilistic Knowledge Diffusion for Images Classification

2014
In this study, an iterative contextual approach for images classification is proposed. This approach is based on the use of possibilistic reasoning in order to diffuse the possibilistic knowledge. The use of possibilistic concepts enables an important flexibility for the integration of a context-based additional semantic knowledge source formed by ...
B. Alsahwa, S. Almouahed, D. Guériot, B. Solaiman   +3 more
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Spatial contextual Gaussian process learning for remote-sensing image classification

Remote Sensing Letters, 2015
Compared to state-of-the-art classifiers, the Gaussian process classifier (GPC) offers several attractive properties such as the possibility to estimate the hyperparameters or to learn the best input features in a fully automatic way. However, till now, the integration of spatial contextual information in a GPC model for classifying remote sensing ...
Hassouna, H., Melgani, Farid, Mokhtari, Z.   +2 more
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Histogram-Based Contextual Classification of SAR Images

IEEE Geoscience and Remote Sensing Letters, 2015
We propose a spatially dependent mixture model for contextual classification of synthetic aperture radar (SAR) images. The proposed mixture model is based on the local image histograms modeled by multinomial densities. The contextual information is included into the mixture model both in the pixel and the class label domain by using local histograms ...
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