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Content Based Image Retrieval Using Visual-Words Distribution Entropy
(Springer, 2011)
Bag-of-visual-words (BOVW) is a representation of images which is built using a large set of local features. To date, the experimental results presented in the literature have shown that this approach achieves high retrieval ...
Golden Retriever - A Java Based Open Source Image Retrieval Engine
(ACM, 2013)
Golden Retriever Image Retrieval Engine (GRire) is an open
source light weight Java library developed for Content Based
Image Retrieval (CBIR) tasks, employing the Bag of Visual
Words (BOVW) model. It provides a complete ...
Color and Edge Directivity Descriptor on GPGPU
(IEEE (Computer Society), 2015)
Image indexing refers to describing the visual multimedia content of a medium, using high level textual information or/and low level descriptors. In most cases, images and videos are associated with noisy and incomplete ...
Searching Images with MPEG-7 (& MPEG-7-like) Powered Localized dEscriptors: The SIMPLE answer to effective Content Based Image Retrieval
(IEEE (Computer Society), 2014)
In this paper we propose and evaluate a new
technique that localizes the description ability of the well established
MPEG-7 and MPEG-7-like global descriptors. We
employ the SURF detector to define salient image patches ...
Localized Global Descriptors for Image Retrieval: An Extensive Evaluation on Adaptations to the Simple Model
(IEEE (Computer Society), 2016)
SIMPLE (Searching Images with MPEG-7 (& MPEG-7-like) Powered Localized dEscriptors) is a model that proposes the reuse of well-established global descriptors by localizing their description mechanism on image patches located ...
Two-Staged Image Colorization Based on Salient Contours
(IEEE (Computer Society), 2014)
In this paper we present a novel colorization
technique that manages to significantly reduce color bleeding
artifacts caused by weak object boundaries and also requires
only abstract color indications and placement from ...