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[PDF] Top 20 Efficient Ranking Model for image retrieval using user clicks and visual features

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Efficient Ranking Model for image retrieval using user clicks and visual features

Efficient Ranking Model for image retrieval using user clicks and visual features

... by using both visual features and click ...Click features represent the counting of clicks from a search results page of a search ...engine. User click has recently been used to ... See full document

5

Effective Image retrieval through User Clicks and Query Semantic Signature: an Offline Approach

Effective Image retrieval through User Clicks and Query Semantic Signature: an Offline Approach

... learns image behaviour in semantic space and based on their features extraction and query semantic signatures it generate relevant images for the user ...The visual features of images ... See full document

9

A Survey on Efficient Image Retrieval through User Clicks and Query Semantic Signature

A Survey on Efficient Image Retrieval through User Clicks and Query Semantic Signature

... the user can selects a query image from the pool of images; the outstanding images get reranked by referring their visual similarities with respect to query image and semantic ...the ... See full document

5

Implementation of Efficient Manifold Ranking (EMR) Model for Content Based Image Retrieval
K Dinesh, J Lavanya & A Phani Sridhar

Implementation of Efficient Manifold Ranking (EMR) Model for Content Based Image Retrieval K Dinesh, J Lavanya & A Phani Sridhar

... Many databases have underlying cluster or manifold structure. Under such circumstances, the assumption of label consistency is reasonable. It means that those nearby data points, or points belong to the same cluster or ... See full document

5

An Efficient Image Retrieval Based on Fusion of Low-Level Visual Features

An Efficient Image Retrieval Based on Fusion of Low-Level Visual Features

... of image spatial layout, features integration/fusion for hybrid image representation [8, 9, 11, ...low-level image features, color is used in image analysis and retrieval ... See full document

17

Image Re Rank In User Clicks And Future Search

Image Re Rank In User Clicks And Future Search

... web-based image search as an effective way by Image re-ranking, this is adopted by commercial search engines such as Google and ...the user selects a query image from the pools of ... See full document

6

Enhanced and Efficient Image Retrieval via Visual Attention and Saliency Features

Enhanced and Efficient Image Retrieval via Visual Attention and Saliency Features

... of retrieval of task ...duplicate image retrieval. The research attentions like duplicate image identification, security to the copied images or also the searching ...partial-duplicate ... See full document

6

Efficient Content based Image Retrieval System using Mpeg 7 Features

Efficient Content based Image Retrieval System using Mpeg 7 Features

... The amount of multimedia content available in digital archives, on the World Wide Web, in broadcast data streams and in personal and professional databases is growing out of control. This challenging situation led to the ... See full document

6

REVIEW ON CONTENT BASED IMAGE RETRIEVAL BY USING VISUAL SEARCH RANKING

REVIEW ON CONTENT BASED IMAGE RETRIEVAL BY USING VISUAL SEARCH RANKING

... : Image Retrieval system is an effective and efficient tool for managing large image ...based image retrieval system allows the user to present a query image in ... See full document

8

Image Retrieval Using Textual Pre filtering and Visual Re ranking

Image Retrieval Using Textual Pre filtering and Visual Re ranking

... (video, image, audio and text), multimediafusion has become a very interesting field of researchrecently for Information Retrieval (IR) and search in MultimediaDatabases or on ...and visual ... See full document

6

An Efficient Sketch Based Image Retrieval Using Re Ranking Method

An Efficient Sketch Based Image Retrieval Using Re Ranking Method

... relevant image among the database images for the initial query sketch. The image is retrieved by re-ranking via visual feature verification (RVFV), contour based relevance feedback ...SIFT ... See full document

5

COMPARATIVE ANALYSIS OF RERANKING TECHNIQUES FOR WEB IMAGE SEARCH

COMPARATIVE ANALYSIS OF RERANKING TECHNIQUES FOR WEB IMAGE SEARCH

... various image retrieval methods are discussed and the reranking methods which are proposed by earlier researchers for the better development in the web image search are ...which visual ... See full document

7

Efficient Re Ranking of Images from the Web using Bag based Method

Efficient Re Ranking of Images from the Web using Bag based Method

... previous user recently searched ...the user or a new query given by the user which retrieves images from the ...approach visual and textual features can be compared with the user ... See full document

5

An Enhanced Image Retrieval Using K-Mean Clustering Algorithm in Integrating Text and Visual Features

An Enhanced Image Retrieval Using K-Mean Clustering Algorithm in Integrating Text and Visual Features

... medical image archiving, trademark signs, etc., the development of efficient image retrieval systems becomes extremely ...An image retrieval system is a computer system for ... See full document

6

Semantic-Based Image Retrieval by Visual Analytics Using Ranking Algorithm

Semantic-Based Image Retrieval by Visual Analytics Using Ranking Algorithm

... based image retrieval (SBIR) is a retrieval technique based on the intuition of user most SBIR algorithms is explain and retrieved images are considered relevant to the user query, ... See full document

8

A Review :Improving Content Based Image Retrieval Performance Using Combination of Colour and Texture Features

A Review :Improving Content Based Image Retrieval Performance Using Combination of Colour and Texture Features

... Content-based retrieval uses the contents of images to represent and access the ...content-based retrieval system is divided into off-line feature extraction and online image ...content-based ... See full document

6

A Neural Network Model for Automatic Image Annotation and Annotation Refinement: A survey

A Neural Network Model for Automatic Image Annotation and Annotation Refinement: A survey

... based image retrieval (CBIR) in which image is retrieved based on low level features like shape, color and ...method user needs to apply query image in CBIR and similar images ... See full document

5

VISUAL RE-RANKING FOR IMAGE RETRIEVAL SYSTEM

VISUAL RE-RANKING FOR IMAGE RETRIEVAL SYSTEM

... proposed visual re-ranking framework, which constructs meta rerankers corresponding to visual prototypes representing the textual query and learns the weights of a linear re-ranking ... See full document

6

An Image reranking model based on attributes and visual features eliminating duplication

An Image reranking model based on attributes and visual features eliminating duplication

... An image search on internet is increasing day by ...for retrieval of relevant ...by user are generally short and ambiguous, different kinds of images are retrieved and sometimes these results are ... See full document

5

Re-Ranking of Web Image Search Using Relevance Preserving Ranking Techniques

Re-Ranking of Web Image Search Using Relevance Preserving Ranking Techniques

... employing visual characteristics of images to reorder the initial search ...current image search re- ranking has two important steps, they are feature extraction and ranking ...the ... See full document

5

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