[PDF] Top 20 Enhancing the Performance of Image Retrieval through Similarity Measure

Enhancing the Performance of Image Retrieval through Similarity Measure

... Huang, in [13], proposed water filling algorithm applied on the edge map of the original image. The purpose of this algorithm is to efficiently extract information embedded in the edges. The new features are more ... See full document

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Retrieval and Classification of Images Using Hybrid of HMMD Color Space and Naïve Bayes Classifier

... based image retrieval is a challenging method of capturing relevant images from a large storage ...the image database is, a human being can easily recognize images of same ...the performance ... See full document

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Bi-Similarity Mapping Based Image Retrieval Using Shape Features

... certain similarity/distance measure, whose choice largely decides the performance of a retrieval ...faithful similarity measure to account for the large intra class and ... See full document

7

Analysis of Different Similarity Measures in Image Retrieval Based on Texture and Shape

... efficient image retrieval techniques. Content Based Image Retrieval is one of the image retrieval system, but to develop a CBIR system with appropriate combination of low level ... See full document

7

Improving the performance of content based image retrieval through color layout descriptor

... distance etc and display ranked result to the user. Due to high demand for searching from an image database CBIR becomes a popular image searching technique. However, CBIR is facing problems and it achieved ... See full document

5

A New Approach for Enhancing Image Retrieval using Neutrosophic Sets

... the image detection rate and increases the image retrieval performance, but the speed of the content-based image retrieval is slower mainly due to the curse of high ... See full document

9

Local Stretch Similarity Measure and Auto Query Expansion for Re Ranking of Image Retrieval

... In traditional local CSSM methods, N x k ( ) i is commonly used to measure similarity between images. These methods have a fatal flaw that their performance is sensitive to k whose value is always ... See full document

7

Convolutional Neural Networks and Hash Learning for Feature Extraction and of Fast Retrieval of Pulmonary Nodules

... for image retrieval for the first time, and tested on the ImageNet ...the retrieval performance by compressing CNN feature ...the image retrieval problem, they directly performed ... See full document

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Survey on Different Techniques of Content-Based Image Retrieval

... 1) Retrieval Based on color: Retrieval is based on color ...each image that identifies the part of pixels within an image which holding specific ...of image and ... See full document

6

Similarity Preserving Deep Asymmetric Quantization for Image Retrieval

... timedia retrieval due to its effectiveness of coding high- dimensional ...state-of-the-art retrieval accu- ...unsatisfactory retrieval performance as a large portion of label information is ... See full document

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LARGE SCALE IMAGE RETRIEVAL USING DESCRIPTORS AND DISTANCE MEASURE

... feature-based image retrieval model can perform automatic indexing for a large volume of images by extracting the features of their ...the image presented as query ...the similarity ... See full document

11

SIMILARITY AWARE CONTENT BASED IMAGE RETRIEVAL SYSTEM FOR LARGER MEDICAL DATABASE

... procedure. Image clustering is particularly relevant to web picture information where meta data is additionally accessible for misuse notwithstanding visual ... See full document

9

Absolute joint moments: a novel image similarity measure

... estimating image similarity. This measure is of importance in assessing image correspondence or image alignment and plays an important role in image ...as image ... See full document

11

Scalable Database Indexing and Fast Image Retrieval Based on Deep Learning and Hierarchically Nested Structure Applied to Remote Sensing and Plant Biology

... passes through the network in a forward pass after applying filters to the input ...every image that contains the hidden layer immediately before the ...the similarity between images. The ... See full document

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Similarity measure for image resizing using SIFT feature

... resulting image would be. Ide- ally, an image resizing algorithm should check whether farther seam removal will result in unacceptable distor- ...a similarity or distance metric could be taken into ... See full document

11

A proposed query-sensitive similarity measure for information retrieval

... Since the numbers of queries in all IR text collections are relatively small, Savoy et al. [16] propose the leave-one-out evaluation scheme, which is a special case of the cross validation method. The scheme works as ... See full document

10

Query quality refinement in singular value decomposition to improve genetic algorithms for multimedia data retrieval

... and retrieval of large amounts of information, which may render an otherwise useful method slow or ...retrieved image gives rise to similarity data retrieval. Similarity search tech- ... See full document

15

APPLICATION OF HIERARCHICAL AND K-MEANS TECHNIQUES IN CONTENT BASED IMAGE RETRIEVAL

... texture similarity may not seem very ...texture similarity can often be useful in distinguishing between areas of images with similar colour (such as sky and sea, or leaves and ...texture similarity; ... See full document

7

Sketch Based Image Retrieval System for the Web - A Survey

... content-based image representation and retrieval is proposed in this ...original image representation and the autocorrelation function (associated with original images) ...based image ... See full document

7

Diagnose the Stages of Breast Cancer using SVM

... pattern similarity scheme for predicting the real stage of breast ...based image retrieval (CBIR) systems, capable of retrieving images based on their similarity with the query image ... See full document

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