Haut PDF The Image Shape Spectrum for Image Retrieval
The Image Shape Spectrum for Image Retrieval
... Unit´e de recherche INRIA Lorraine, Technopˆole de Nancy-Brabois, Campus scientifique, ` NANCY 615 rue du Jardin Botanique, BP 101, 54600 VILLERS LES Unit´e de recherche INRIA Rennes, Ir[r] ...
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Learning the Shape of Image Moments for Optimal 3D Structure Estimation
... that the selection of a good set of image moments for 6-dof visual control or SfM is still an open ...in the ‘most linear’ control problem with the largest convergence domain, or in ...
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Using Neighborhood Distributions of Wavelet Coefficients for On-the-Fly, Multiscale-Based Image Retrieval
... is the differential entropy and H x is the cross en- tropy. The estimation of statistical measures in the multidimen- sional case is ...to the sparsity of samples in high dimension ...
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On the Choice of Similarity Measures for Image Retrieval by Example
... INRIA, Rocquencourt Domaine de Voluceau, BP-105 F-78153 Le Chesnay Cedex, France.. Jean-Philippe.Tarel@inria.fr Sabri.Boughorbel@inria.fr ABSTRACT.[r] ...
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Random Subwindows and Randomized Trees for Image Retrieval, Classification, and Annotation
... Image Annotation B Goal Given a training set of images with pixel-wise labelling (ie. every pixel is labeled with one class among a finite set of predefined classes), the goal is to build a model that will ...
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Challenging deep image descriptors for retrieval in heterogeneous iconographic collections
... introducing the Alegoria dataset, we aim at proposing a com- plementary benchmark, designed for precise evaluation of robust- ness on a broader panel of appearance ...in the other popular datasets ...
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Image Retrieval with Reciprocal and shared Nearest Neighbors
... All the experiments presented below that use this bag-of-features representation of the Holidays image set are labeled “Holidays ...of the local features extracted from an image ...
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Review of Recent Deep Learning Based Methods for Image-Text Retrieval
... representations for more effective image-text matching. In the ARL framework, a two-layer fully-connected network adversarial discriminator is op- timized in the common ...space. The ...
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Shape-based analysis on component-graphs for multivalued image processing
... The e fficiency of the component-tree first relies on its low computation ...[27] for a re- cent survey.) The success of component-trees also relies on the development of e fficient ...
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Shape-based analysis on component-graphs for multivalued image processing
... on the develop- ment of efficient algorithmic processes for node selec- ...issues. The first approach consists of minimizing an energy globally defined over the tree nodes, leading to compute ...
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Graph laplacian for interactive image retrieval
... both the labeled and the unlabeled sets. The main contributions of this work are: (i) In contrast to existing relevance feedback methods which only rely on the labeled set of images, our ...
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An hybrid method for fine-grained content based image retrieval
... 1 for example. No mutation was used in the GA used, however, as individuals generated after crossover did not match any image in the database, a matching technique is used so that individuals ...
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Statistical models for deformable templates in image and shape analysis
... 2.3. The requirements for convergence concern the Markov chain which has to be geometrically ergodic on any compact ...of the image domain. The resulting deformation and template ...
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Distance-based shape statistics for image segmentation with priors
... In the last part a definition of the mean shape of a sample set of shapes is given, as well as the one of characteristic deformations that convey the shape variability, and then this sha[r] ...
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An exploration of diversified user strategies for image retrieval with relevance feedback
... of the Study 4.1 ground truth Databases and Description of the Visual Content Ground truth image databases are used for evaluating the selection criteria and the user strategies ...
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A New Combination Method Based on Adaptive Genetic Algorithm for Medical Image Retrieval
... Works The purpose of this paper is to better study the importance of combining two re- trieval methods; textual and conceptual ...used the UMLS as a specific ontology for the medical ...
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Leveraging large scale Web data for image retrieval and user credibility estimation
... to the processing of the ImageNet images, we extract all of the three image features detailed in Subsection ...3.2.2 for Flickr group ...use the same large class of ImageNet ...
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An improved feature vector for content-based image retrieval in DCT domain
... So the proposed approach selects 9 co- efficients out of all 15 AC coefficients in each block and uses their statistical information to construct the ...D). For each group, the sum of ...
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Delta-TSR: a description of spatial relationships between objects for image retrieval
... of the paper The objective of this work is to propose an efficient and effective representation of the spatial layout of objects for image or sub-image retrieval in large ...
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Result diversification in social image retrieval: a benchmarking framework
... on the use of social cues (user and temporal information) in the retrieval process and on their com- bination with visual ...cues. The diversification relies on the use of an ...
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