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Efficient and Effective Querying by Image Content
- Journal of Intelligent Information Systems
, 1994
"... In the QBIC (Query By Image Content) project we are studying methods to query large on-line image databases using the images' content as the basis of the queries. Examples of the content we use include color, texture, and shape of image objects and regions. Potential applications include med ..."
Abstract
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Cited by 500 (13 self)
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In the QBIC (Query By Image Content) project we are studying methods to query large on-line image databases using the images' content as the basis of the queries. Examples of the content we use include color, texture, and shape of image objects and regions. Potential applications include
VisualSEEk: a fully automated content-based image query system
, 1996
"... 1 We describe a highly functional prototype system for searching by visual features in an image database. The VisualSEEk system is novel in that the user forms the queries by diagramming spatial arrangements of color regions. The system finds the images that contain the most similar arrangements of ..."
Abstract
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Cited by 752 (31 self)
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1 We describe a highly functional prototype system for searching by visual features in an image database. The VisualSEEk system is novel in that the user forms the queries by diagramming spatial arrangements of color regions. The system finds the images that contain the most similar arrangements
Querying Images in the DISIMA DBMS ∗
"... Because digital images are not meaningful by themselves, images are often coupled with some descriptive or qualitative data in an image database. Moreover the division of these data into syntactic (color, shape, texture) and semantic (meaningful real word object or concept) features necessitates nov ..."
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novel querying techniques. Most image systems and prototypes have focussed on similarity searches based only on the syntactic features. In the DISIMA system we also propose a solution for similarity searches that combines color histograms, spatial relationships of image blocks and a hash structure
The Lorel Query Language for Semistructured Data
- International Journal on Digital Libraries
, 1997
"... We present the Lorel language, designed for querying semistructured data. Semistructured data is becoming more and more prevalent, e.g., in structured documents such as HTML and when performing simple integration of data from multiple sources. Traditional data models and query languages are inapprop ..."
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Cited by 734 (29 self)
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We present the Lorel language, designed for querying semistructured data. Semistructured data is becoming more and more prevalent, e.g., in structured documents such as HTML and when performing simple integration of data from multiple sources. Traditional data models and query languages
Answering queries using views
- In PODS Conference
, 1995
"... We consider the problem of computing answers to queries by using materialized views. Aside from its potential in optimizing query evaluation, the problem also arises in applications such as Global Information Systems, Mobile Computing and maintaining physical data independence. We consider the probl ..."
Abstract
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Cited by 452 (33 self)
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We consider the problem of computing answers to queries by using materialized views. Aside from its potential in optimizing query evaluation, the problem also arises in applications such as Global Information Systems, Mobile Computing and maintaining physical data independence. We consider
Querying Image Ontology
"... Abstract Content-based image retrieval has been used in various application domains, but the semantic gap problem remains a challenge to be overcome. One possible way to overcome this problem is to represent the knowledge extracted from the low-level image features through semantic concepts. In this ..."
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. In this paper we describe how we use an image ontology to this end. We show that we are able to retrieve desired images by using basic ontology queries.
Querying Image Ontology
"... Abstract Content-based image retrieval has been used in various application domains, but the semantic gap problem remains a challenge to be overcome. One possible way to overcome this problem is to represent the knowledge extracted from the low-level image features through semantic concepts. In this ..."
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. In this paper we describe how we use an image ontology to this end. We show that we are able to retrieve desired images by using basic ontology queries.
Blobworld: Image segmentation using Expectation-Maximization and its application to image querying
- IEEE Transactions on Pattern Analysis and Machine Intelligence
, 1999
"... Retrieving images from large and varied collections using image content as a key is a challenging and important problem. We present a new image representation which provides a transformation from the raw pixel data to a small set of image regions which are coherent in color and texture. This "B ..."
Abstract
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Cited by 431 (10 self)
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. An important aspect of the system is that the user is allowed to view the internal representation of the submitted image and the query results. Similar systems do not offer the user this view into the workings of the system; consequently, query results from these systems can be inexplicable, despite
Fast Multiresolution Image Querying
, 1995
"... We present a method for searching in an image database using a query image that is similar to the intended target. The query image may be a hand-drawn sketch or a (potentially low-quality) scan of the image to be retrieved. Our searching algorithm makes use of multiresolution wavelet decompositions ..."
Abstract
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Cited by 313 (4 self)
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We present a method for searching in an image database using a query image that is similar to the intended target. The query image may be a hand-drawn sketch or a (potentially low-quality) scan of the image to be retrieved. Our searching algorithm makes use of multiresolution wavelet decompositions
Results 1 - 10
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205,965
