Content-Based Image Retrieval with Gaussian Mixture Models

Mixture Models for Image Analysis

“…To give an idea of the variety of uses, mixture models have been used for image restoration (e.g. Niknejad et al, 2015), for image registration (Gerogiannis et al, 2009), visual tracking (Karavasilis et al, 2012), image retrieval (Beecks et al, 2015), texture modelling (Blanchet & Forbes, 2008), classification (Bouveyron et al, 2007) and sensor fusion (Gebru et al, 2016), to name only a few of the relevant papers. However, the most typical and direct use 397 relates to image segmentation which can be recast straightforwardly into a clustering task.…”

Contribution for Content based Image Retrieval by Multiple Descriptors

“…In this work, we try to reduce this time without deterioration of the quality of research in term of precision enjoying benefits of EBVW [7] description method and genetic programming [8] for the combination of several descriptors. Further in-depth introduction to our prior work could be found in the literatures [9] [10]. The rest of the paper is organized as follows: Section 2 Describe the related work.…”