Results 121 to 130 of about 599,124 (143)

Image retrieval by examples

IEEE Transactions on Multimedia, 2000
A currently important research field in information sciences is the management of nontraditional distributed multimedia databases. Two related key issues are to achieve an efficient content-based query by example retrieval and a fast response time.
Brunelli, Roberto, Mich, Ornella
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Retrieve of images by content

Proceedings IEEE International Joint Symposia on Intelligence and Systems, 2002
In this paper, we present an approach of image retrieval by content in an object oriented database. The content of image includes automatically extracted features such as colors, textures, and manually extracted features such as relevant regions, shapes, key words and texts.
I. Savory, Henri Briand, Chabane Djeraba
openaire   +2 more sources

Retrieving images by appearance

Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), 2002
A system to retrieve images using a description of the image intensity surface is presented. Gaussian derivative filters at several scales are applied to the image and low order 2D differential invariants are computed. The resulting multi-scale representation is indexed for rapid retrieval.
R. Manmatha, Sai Ravela
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INTERACTIVE RETRIEVAL OF COLOR IMAGES

International Journal of Image and Graphics, 2001
Retrieval of color images has become an important application in recent years. We make a concise analysis of methodologies for interactive retrieval of color images. Two issues are of importance. First, the domain, which can be broad or narrow. Second, the search method, which can be object search, target search, category search or associative search.
Worring, M., Gevers, Th.
openaire   +3 more sources

Image retrieval evaluation

Proceedings. IEEE Workshop on Content-Based Access of Image and Video Libraries (Cat. No.98EX173), 2002
One of the most significant problems in content-based image retrieval results from the lack of a common test-bed for researchers. Although many published articles report on content-based retrieval results using color photographs, there has been little effort in establishing a benchmark set of images and queries.
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IMAGE RETRIEVAL FOR THE WWW

2006
The rapid growth of image archives increases the need for efficient and fast tools that can retrieve and search through large amount of visual data. In this paper we propose an efficient method of extracting the image color content, which serves as a digital signature, allowing to ef- ficiently index and retrieve large multimedia Internet based ...
Konrad Wojciechowski, Marek Szczepański, Bogdan Smolka   +2 more
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Attributes for Image Retrieval

2017
Image retrieval is a computer vision application that people encounter in their everyday lives. To enable accurate retrieval results, a human user needs to be able to communicate in a rich and noiseless way with the retrieval system. We propose semantic visual attributes as a communication channel for search because they are commonly used by humans to ...
Kristen Grauman, Adriana Kovashka
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Distributed image retrieval on DAISY

2003 IEEE International Workshop on Computer Architectures for Machine Perception, 2006
The paper describes an application of image retrieval based on DAISY architecture (distributed architecture for intelligent system). The creation of pictorial indexes may require a number of hours depending on the size of the pictorial data base. The problem can become more complex in the case of distributed database systems.
DI GESU', Vito, LO BOSCO, Giosue', TEGOLO, Domenico   +2 more
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Trademark Image Retrieval

2011
With the rapid increase in the amount of registered trademarks around the world, trademark image retrieval has been developed to deal with a vast amount of trademark images in a trademark registration system. Many different approaches have been developed throughout these years in an attempt to develop an effective TIR system.
Wing-Yin Chau, Chia-Hung Wei, Yue Li
openaire   +1 more source

Image Description and Retrieval

1998
Image Modeling and Retrieval E. Vicario. Efficient and Effective Nearest Neighbor Search in a Medical Image Database of Tumor Shapes F. Korn, et al. Shape-Similarity-Based Retrieval in Image Databases R. Mehrotra, J.E. Gary. Color Angular Indexing and Image Retrieval G.D. Finlayson, et al. Indexing Color-Texture Image Patterns A.D.
openaire   +2 more sources