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[PDF] Top 20 An improved feature vector for content-based image retrieval in DCT domain

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An improved feature vector for content-based image retrieval in DCT domain

An improved feature vector for content-based image retrieval in DCT domain

... Keywords: Content-based image retrieval, DCT, texture, face recognition Abstract: This paper proposes an improved approach for content-based ... Voir le document complet

5

Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees

Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees

... use feature detectors and descriptors, and then perform an exhaustive nearest neighbor search in the database of local fea- tures, are much more ...time-consuming. For example, in Ref. ... Voir le document complet

12

Local Feature-Based Attribute Profiles for Optical Remote Sensing Image Classification

Local Feature-Based Attribute Profiles for Optical Remote Sensing Image Classification

... Local Feature-based Attribute Profiles for Optical Remote Sensing Image Classification Minh-Tan Pham, Member, IEEE, S´ebastien Lef`evre, and Erchan Aptoula Abstract—This article introduces ... Voir le document complet

15

Geometric-visual descriptor for improved image based localization

Geometric-visual descriptor for improved image based localization

... is an outdoor dataset with 1000 query images and the slam point cloud is built using 1100 key images which generate 159959 of 3D points and ...RANSAC in combination with P3P on the set of 2D-3D matches ... Voir le document complet

5

Large-scale Content-based Visual Information Retrieval

Large-scale Content-based Visual Information Retrieval

... model for content-based image retrieval, as well as for image classification, is based on the pooling of local visual features into global image ... Voir le document complet

79

An hybrid method for fine-grained content based image retrieval

An hybrid method for fine-grained content based image retrieval

... projection) for D = R 2 To reduce the amount of space, and thus the number of data points, evaluated when searching for neighbors, LSH is using several locality sensitive functions to form a more complex ... Voir le document complet

174

A NEW DESCRIPTOR BASED ON 2D DCT FOR IMAGE RETRIEVAL

A NEW DESCRIPTOR BASED ON 2D DCT FOR IMAGE RETRIEVAL

... CBIR; DCT; face recognition; texture retrieval Abstract: Content-based image retrieval relies on feature comparison between ...of feature vector is ...the ... Voir le document complet

5

Graph laplacian for interactive image retrieval

Graph laplacian for interactive image retrieval

... known in content based image retrieval (CBIR); the query by example and relevance feedback ...(RF). In the first mode the user sub- mits a query image as an example ... Voir le document complet

5

An improved image processing method for particle characterization by shadowgraphy

An improved image processing method for particle characterization by shadowgraphy

... Different global thresholds have been also tested to study the influence of this parameter. Tests with various global thresholds show very similar result (variance < 1%). The slight difference is introduced by ... Voir le document complet

7

Review of Recent Deep Learning Based Methods for Image-Text Retrieval

Review of Recent Deep Learning Based Methods for Image-Text Retrieval

... adopts an Adversarial Representation Learning (ARL) framework to learn modality-invariant representations for more effective image-text ...matching. In the ARL framework, a two-layer ... Voir le document complet

7

The melodic signature index for fast content-based retrieval of symbolic scores

The melodic signature index for fast content-based retrieval of symbolic scores

... records in the first bucket (resp. n-grams) for the MS-Index ...lower for gut than for other ...records for each document in a ...match an entry of the first bucket with ... Voir le document complet

6

Partitionning medical image databases for content-based queries on a grid

Partitionning medical image databases for content-based queries on a grid

... is an increase in data manipulation and job scheduling ...negligible for very long processing jobs but it is not the case when each job computation time is below a given ...implications in ... Voir le document complet

22

CAPRI- content-based analysis of protein structure for retrieval and indexing

CAPRI- content-based analysis of protein structure for retrieval and indexing

... Query Retrieval System. The descriptor is based on the concept of a ...a vector that originates from the centre of mass of the object and that terminates on a given ...calculated in the Eigen ... Voir le document complet

12

Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach

Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach

... show in our experiments that we can get improved results with preceding layers, that are cheaper to compute and require smaller input ...CNN feature maps, at multiple scales with good performance on ... Voir le document complet

22

Context-based motion retrieval using vector space model

Context-based motion retrieval using vector space model

... It shows that the vector-space model system is overall a better system as it is more effective than the binary feature system and more efficient than the dynamic[r] ... Voir le document complet

89

New feature points based on geometric invariants for 3D image registration

New feature points based on geometric invariants for 3D image registration

... Unite´ de recherche INRIA Lorraine, Technoˆpole de Nancy-Brabois, Campus scientifique, 615 rue de Jardin Botanique, BP 101, 54600 VILLERS LE` S NANCY Unite´ de recherche INRIA Rennes, IR[r] ... Voir le document complet

37

A comparative study of DCT, LOT, and DWT-based image coders

A comparative study of DCT, LOT, and DWT-based image coders

... Four of the ten systems were studied further: the discrete cosine transform (DCT) baseline JPEG, the lapped orthogonal transform (LOT) version of baseline JPEG, the [r] ... Voir le document complet

109

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] ... Voir le document complet

26

Medical Image Content-Based Queries using the Grid

Medical Image Content-Based Queries using the Grid

... each image producing center (hospital) is storing locally its ...imagers. In our experiment, we registered each input image on grid ...disks. In a fully working system, one could expect that ... Voir le document complet

9

A New Combination Method Based on Adaptive Genetic Algorithm for Medical Image Retrieval

A New Combination Method Based on Adaptive Genetic Algorithm for Medical Image Retrieval

... Medical IMAGE CLEF 2009, Table 5 compares our method (Gent-Comb) with the other official ...submissions. For the best result of the IRIS team in 2009, the authors use a combination of two analysis ... Voir le document complet

14

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