Results 1 - 10 of 14,930

Tag-based Image Retrieval Improved by Augmented Features and Group-based Refinement

by Lin Chen, Dong Xu, Ivor W. Tsang, Jiebo Luo
"... In this paper, we propose a new tag-based image retrieval framework to improve the retrieval performance of a group of related personal images captured by the same user within a short period of an event by leveraging millions of training web images and their associated rich textual descriptions. For ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
In this paper, we propose a new tag-based image retrieval framework to improve the retrieval performance of a group of related personal images captured by the same user within a short period of an event by leveraging millions of training web images and their associated rich textual descriptions

TAG BASED IMAGE RETRIEVAL (TBIR) USING AUTOMATIC IMAGE ANNOTATION

by unknown authors
"... In recent days, several social networking sites are more popular with digitized images. It comprises the major portion of the databases which makes the search engines to face difficulty in searching. We present a proficient image retrieval technique, which achieves eminent retrieval efficiency. Most ..."
Abstract - Add to MetaCart
. Most of the images are annotated manually, thus the visual content and tags may be mismatched. This leads to poor performance in Tag Based Image Retrieval (TBIR). Automatic Image Annotation (AIA) analyzes the missing and noisy tags and over-refines it to increase the performance of TBIR. AIA can

Content and Tag Based Image Retrieval System using Automatic Image Annotation

by Sachin Shinde, Pranita Sethiya, Ravindra Jain, Akash Raghuwanshi, Rekha Sugandhi
"... The main objective of this paper is to design a Content and Tag Based Image Retrieval System using Automatic Image Annotation that will help in organizing a large database of images. We propose to build a system that will detect objects from images and retrieve images containing the similar objects ..."
Abstract - Add to MetaCart
The main objective of this paper is to design a Content and Tag Based Image Retrieval System using Automatic Image Annotation that will help in organizing a large database of images. We propose to build a system that will detect objects from images and retrieve images containing the similar objects

Tag Completion for Image Retrieval

by Lei Wu Member, Rong Jin, Anil K. Jain
"... Abstract—Many social image search engines are based on keyword/tag matching. This is because tag based image retrieval (TBIR) is not only efficient but also effective. The performance of TBIR is highly dependent on the availability and quality of manual tags. Recent studies have shown that manual ta ..."
Abstract - Cited by 18 (1 self) - Add to MetaCart
is computationally efficient and scales well to large databases. Index Terms—tag completion, matrix completion, tag-based image retrieval, image annotation, image retrieval, metric learning. 1

Random Walker Segmentation based Tag Completion for Image Retrieval

by Shrikant Badghaiya, Atul Barve
"... Image retrieval is a technique of accessing texts or images from the web. Although there are various techniques implemented for the image retrieval such as using content based or tag based. Hence by using the technique for the image retrieval can be used in various fields. Tag based Image retrieval ..."
Abstract - Add to MetaCart
Image retrieval is a technique of accessing texts or images from the web. Although there are various techniques implemented for the image retrieval such as using content based or tag based. Hence by using the technique for the image retrieval can be used in various fields. Tag based Image retrieval

Retrieval

by Shrikant Badghaiya, Atul Barve
"... In today’s scenario when social media sites are widely used and high resolution images are shared. Tagging is an important approach for the retrieval of images in various applications. These are also used to manage personal media data. There are various techniques implemented for the image retrieval ..."
Abstract - Add to MetaCart
retrieval such as feature based, histogram based and transformation based but these techniques are not efficient in terms of classification ratio and accuracy. Here in this paper various tag based image technique are discussed so by analyzing the tag based image retrieval techniques a new proposed

Local grayvalue invariants for image retrieval

by Cordelia Schmid, Roger Mohr - IEEE Transactions on Pattern Analysis and Machine Intelligence , 1997
"... Abstract—This paper addresses the problem of retrieving images from large image databases. The method is based on local grayvalue invariants which are computed at automatically detected interest points. A voting algorithm and semilocal constraints make retrieval possible. Indexing allows for efficie ..."
Abstract - Cited by 548 (27 self) - Add to MetaCart
Abstract—This paper addresses the problem of retrieving images from large image databases. The method is based on local grayvalue invariants which are computed at automatically detected interest points. A voting algorithm and semilocal constraints make retrieval possible. Indexing allows

Using Discriminant Eigenfeatures for Image Retrieval

by Daniel L. Swets, John Weng , 1996
"... This paper describes the automatic selection of features from an image training set using the theories of multi-dimensional linear discriminant analysis and the associated optimal linear projection. We demonstrate the effectiveness of these Most Discriminating Features for view-based class retrieval ..."
Abstract - Cited by 508 (15 self) - Add to MetaCart
This paper describes the automatic selection of features from an image training set using the theories of multi-dimensional linear discriminant analysis and the associated optimal linear projection. We demonstrate the effectiveness of these Most Discriminating Features for view-based class

Content-based image retrieval at the end of the early years

by Arnold W. M. Smeulders, Marcel Worring, Simone Santini, Amarnath Gupta, Ramesh Jain - IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 2000
"... The paper presents a review of 200 references in content-based image retrieval. The paper starts with discussing the working conditions of content-based retrieval: patterns of use, types of pictures, the role of semantics, and the sensory gap. Subsequent sections discuss computational steps for imag ..."
Abstract - Cited by 1618 (24 self) - Add to MetaCart
The paper presents a review of 200 references in content-based image retrieval. The paper starts with discussing the working conditions of content-based retrieval: patterns of use, types of pictures, the role of semantics, and the sensory gap. Subsequent sections discuss computational steps

Image retrieval: Current techniques, promising directions and open issues

by Yong Rui, Thomas S. Huang - Journal of Visual Communication and Image Representation , 1999
"... This paper provides a comprehensive survey of the technical achievements in the research area of image retrieval, especially content-based image retrieval, an area that has been so active and prosperous in the past few years. The survey includes 100+ papers covering the research aspects of image fea ..."
Abstract - Cited by 507 (15 self) - Add to MetaCart
This paper provides a comprehensive survey of the technical achievements in the research area of image retrieval, especially content-based image retrieval, an area that has been so active and prosperous in the past few years. The survey includes 100+ papers covering the research aspects of image
Results 1 - 10 of 14,930