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Stefania Gentili Retrieving Visual Concepts in Image Databases Supervisor:

by Prof Goffredo, G. Pieroni
"... This thesis addresses the problem of extracting and retrieving visual concepts in images databases, with the aim of developing a generic CBIR system applicable to a wide range of images. The system proposed in this thesis is scale and rotation invariant and easily updateable. The proposed approach i ..."
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This thesis addresses the problem of extracting and retrieving visual concepts in images databases, with the aim of developing a generic CBIR system applicable to a wide range of images. The system proposed in this thesis is scale and rotation invariant and easily updateable. The proposed approach

Data Mining: Concepts and Techniques

by Jiawei Han, Micheline Kamber , 2000
"... Our capabilities of both generating and collecting data have been increasing rapidly in the last several decades. Contributing factors include the widespread use of bar codes for most commercial products, the computerization of many business, scientific and government transactions and managements, a ..."
Abstract - Cited by 3142 (23 self) - Add to MetaCart
retrieval, high performance computing, and data visualization. We present the material in

Visual Information Seeking: Tight Coupling of Dynamic Query Filters with Starfield Displays

by Christopher Ahlberg, Ben Shneiderman , 1994
"... This paper offers new principles for visual information seeking (VIS). A key concept is to support browsing, which is distinguished from familiar query composition and information retrieval because of its emphasis on rapid filtering to reduce result sets, progressive refinement of search parameters, ..."
Abstract - Cited by 631 (51 self) - Add to MetaCart
This paper offers new principles for visual information seeking (VIS). A key concept is to support browsing, which is distinguished from familiar query composition and information retrieval because of its emphasis on rapid filtering to reduce result sets, progressive refinement of search parameters

Image classification for content-based indexing

by Aditya Vailaya, Mário A. T. Figueiredo, Anil K. Jain, Hong-jiang Zhang - IEEE TRANSACTIONS ON IMAGE PROCESSING , 2001
"... Grouping images into (semantically) meaningful categories using low-level visual features is a challenging and important problem in content-based image retrieval. Using binary Bayesian classifiers, we attempt to capture high-level concepts from low-level image features under the constraint that the ..."
Abstract - Cited by 227 (2 self) - Add to MetaCart
Grouping images into (semantically) meaningful categories using low-level visual features is a challenging and important problem in content-based image retrieval. Using binary Bayesian classifiers, we attempt to capture high-level concepts from low-level image features under the constraint

InfoCrystal: a visual tool for information retrieval

by Anselm Spoerri - MIT-CECI -TR , 1993
"... This paper introduces a novel representation, called the I n f o C r y s t a l T M, that can be used as a v isual i za t ion tool as well as a visual query lan-g u a g e to help users search for information. The lnfoCrysta1 visualizes all the possible relation-ships among N concepts. Users can assi ..."
Abstract - Cited by 148 (8 self) - Add to MetaCart
This paper introduces a novel representation, called the I n f o C r y s t a l T M, that can be used as a v isual i za t ion tool as well as a visual query lan-g u a g e to help users search for information. The lnfoCrysta1 visualizes all the possible relation-ships among N concepts. Users can

A survey of content-based image retrieval with high-level semantics

by Ying Liu , Dengsheng Zhang , Guojun Lu , Wei-ying Ma , 2007
"... In order to improve the retrieval accuracy of content-based image retrieval systems, research focus has been shifted from designing sophisticated low-level feature extraction algorithms to reducing the ‘semantic gap ’ between the visual features and the richness of human semantics. This paper attemp ..."
Abstract - Cited by 150 (5 self) - Add to MetaCart
In order to improve the retrieval accuracy of content-based image retrieval systems, research focus has been shifted from designing sophisticated low-level feature extraction algorithms to reducing the ‘semantic gap ’ between the visual features and the richness of human semantics. This paper

New trends and ideas in visual concept detection

by Mark J. Huiskes, Bart Thomee, Michael S. Lew - in [ACM International Conference on Multimedia Information Retrieval , 2010
"... The MIR Flickr collection consists of 25000 high-quality photographic images of thousands of Flickr users, made available under the Creative Commons license. The database includes all the original user tags and EXIF metadata. Additionally, detailed and accurate annotations are provided for topics co ..."
Abstract - Cited by 48 (1 self) - Add to MetaCart
corresponding to the most prominent visual concepts in the user tag data. The rich metadata allow for a wide variety of image retrieval benchmarking scenarios. In this paper, we provide an overview of the various strategies that were devised for automatic visual concept detection using the MIR Flickr collection

Narrowing the Semantic Gap - Improved Text-Based Web Document Retrieval Using Visual Features

by Rong Zhao, William I. Grosky - IEEE Transactions on Multimedia , 2002
"... In this paper, we present the results of our work that seeks to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This work concerns a technique, Latent Semantic Indexing (LSI), which has been used for textual information retrieval for many ..."
Abstract - Cited by 75 (2 self) - Add to MetaCart
In this paper, we present the results of our work that seeks to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This work concerns a technique, Latent Semantic Indexing (LSI), which has been used for textual information retrieval

Adding semantics to detectors for video retrieval

by Cees G. M. Snoek, Bouke Huurnink, Laura Hollink, Maarten De Rijke, Guus Schreiber, Marcel Worring - IEEE Transactions on Multimedia , 2007
"... Abstract — In this paper, we propose an automatic video retrieval method based on high-level concept detectors. Research in video analysis has reached the point where over 100 concept detectors can be learned in a generic fashion, albeit with mixed performance. Such a set of detectors is very small ..."
Abstract - Cited by 77 (14 self) - Add to MetaCart
Abstract — In this paper, we propose an automatic video retrieval method based on high-level concept detectors. Research in video analysis has reached the point where over 100 concept detectors can be learned in a generic fashion, albeit with mixed performance. Such a set of detectors is very small

Relevance Feedback Techniques in Interactive Content-Based Image Retrieval

by Yong Rui , Thomas S. Huang, Sharad Mehrotra - IN STORAGE AND RETRIEVAL FOR IMAGE AND VIDEO DATABASES (SPIE , 1998
"... Content-Based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Many visual feature representations have been explored and many systems built. While these research efforts establish the basis of CBIR, the usefulness of the proposed approaches is limited. ..."
Abstract - Cited by 87 (9 self) - Add to MetaCart
. Specifically, these e#orts have relatively ignored two distinct characteristics of CBIR systems: (1) the gap between high level concepts and low level features; (2) subjectivity of human perception of visual content. This paper proposes a relevance feedback based interactive retrieval approach, which
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