Effective image and video mining: an overview of model-based approaches
MDM '05 Proceedings of the 6th international workshop on Multimedia data mining: mining integrated media and complex data
Tailoring density estimation via reproducing kernel moment matching
Proceedings of the 25th international conference on Machine learning
Adaptive image retrieval based on the spatial organization of colors
Computer Vision and Image Understanding
Effective color image retrieval based on the gaussian mixture model
CCIW'11 Proceedings of the Third international conference on Computational color imaging
Transportation Distances on the Circle
Journal of Mathematical Imaging and Vision
Image retrieval based on Gaussian mixture approach to color localization
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Selective color image retrieval based on the gaussian mixture model
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
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In this work we address the task of adapting the model representation of a given image, in the context of a second, target image model. We present the BlobEMD framework, in which the images are represented as sets of blobs and optimal correspondences are found between the representations of the images and are used to adapt the representation of the source image to that of the target image. The context-based model adaptation allows for similarity measures between images that are insensitive to the segmentation process and to different levels of details of the representation. We show applications for matching models of heavily dithered images with models of full resolution images, and for content-based image segmentation where the transition from regions to representative silhouettes is shown.