[PDF] Top 20 On the Choice of Similarity Measures for Image Retrieval by Example
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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] ... Voir le document complet
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Evaluation of Graph Matching Measures for Documents Retrieval
... applications, for instance, to represent circuit diagrams [4], for shape recognition [8], image matching [17, 2], or old document analysis ...features of the document image. ... Voir le document complet
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A relevance-based learning model of fuzzy similarity measures
... ONCLUSION The contribution of this paper lies in the development of generalized fuzzy similarity ...framework of designing similarity measures based on the ... Voir le document complet
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Evaluating Short Answer Using Text Similarity Measures
... Distance The Smith-Waterman algorithm is a sequence alignment algorithm used especially in ...bioinformatics. For example it is used to align nucleotide sequences or ...invented by Temple ... Voir le document complet
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Graph laplacian for interactive image retrieval
... success of relevance feedback is largely dependent on how much (1) the image description (feature+similarity) fits (2) the semantic wanted by the ...user. The gap ... Voir le document complet
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Design of statistical measures for the assessment of image segmentation schemes
... denotes the superimposed object. From all the functions, b[x] is known and f[x] is ...scheme, the algorithm has no prior knowledge of o[x], nor of ...holds for any x, there is ... Voir le document complet
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Efficient image recognition using local feature and fuzzy triangular number based similarity measures
... During the past decade, content based image retrieval and object recognition have received considerable attention and been successfully applied in a wide variety of areas such as computer ... Voir le document complet
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Using Neighborhood Distributions of Wavelet Coefficients for On-the-Fly, Multiscale-Based Image Retrieval
... a similarity measure to compare images in the context of (indexing and) ...use the Kullback-Leibler (KL) divergence to compare sparse mul- tiscale image descriptions in a wavelet ... Voir le document complet
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Intensity-based Similarity Measures Evaluation for CT to Ultrasound 2D Registration
... and similarity measures The registration procedure of two images of the same scene acquired at different times, from different points of view and/or by different ... Voir le document complet
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Asymmetric Distributional Similarity Measures to Recognize Textual Entailment by Generality
... But the new costumes are better made, of better materials, as well as more becoming: so the research is not so much going round in circles as ascending a ...spiral. The work of ... Voir le document complet
191
Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees
... Our image retrieval approach does not require any prior information about the similarity of training ...better similarity measures for image ...in the ... Voir le document complet
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A NEW DESCRIPTOR BASED ON 2D DCT FOR IMAGE RETRIEVAL
... Comparison of ARR with other methods 4 CONCLUSIONS In this paper we have presented a simple and effective approach for constructing descriptor using 2D DCT coefficients intended to image ...kind ... Voir le document complet
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Density-Based Shape Descriptors and Similarity Learning for 3D Object Retrieval
... Invariance by description. Either the descriptor is invariant by design, or the 3D object undergoes a preprocessing step where it is normalized to have a centered canonical reference frame and ... Voir le document complet
162
COLOR TEXTURED IMAGE RETRIEVAL BY COMBINING TEXTURE AND COLOR FEATURES
... before, the histogram of Texture-Pattern and LumaColor-Pattern are defined as the number of occurrences of patterns in DCT ...disadvantage of the histogram method is that ... Voir le document complet
6
Early burst detection for memory-efficient image retrieval
... for instance, we can keep only 50% features for a 4% drop in ...superior for low aggregation%. Imbalance factor. Fig. 15 and 16 investigate the imbal- ance factor [ 36 ] on Holidays-L, Oxford ... Voir le document complet
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Early burst detection for memory-efficient image retrieval
... and measures mAP vs. absolute num- ber of descriptors/image, which directly reflects ...comparing the three sets for any number of descrip- tors, the largest set maintains ... Voir le document complet
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Local Convolutional Features with Unsupervised Training for Image Retrieval
... Results of convolutional architectures for patch ...2 for each input type. Comparative results. We compare the convolutional ar- chitectures on our three patch datasets: RomePatches-train, ... Voir le document complet
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Adaptive image retrieval based on the spatial organization of colors
... the fact that two random natural images are often closer one to another than they are to realizations of white ...to the ones encountered in real images, such as homogeneous regions and ...edges. ... Voir le document complet
19
Windows and Facades Retrieval using Similarity on Graph of Contours
... supported by ANR (the french National Research Agency) within the scope of the iTOWNS research project (ANR ...grouping of contours used by Ferrari et ...kernel ... Voir le document complet
5
Review of Recent Deep Learning Based Methods for Image-Text Retrieval
... Moreover, the same method performs differently on different databases, which may be caused by the number of object categories in the ...know, the number of object ... Voir le document complet
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