Y. Rui, T. Huang, and S. Chang, "Image retrieval: current techniques, promising directions and open issues," J. of Visual Communication and Image Representation 10, pp. 39--62, April 1999. Home/Search Document Details and Download
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An Efficient Multi-filter Retrieval Framework For Large.. - Xiuqi Li Shu-Ching (2002) (Correct)
....images in a large scale image database before the retrieval, which is time consuming and expensive. The second reason is perception subjectivity, which means that the rich meaning of an image is difficult to be precisely described and different people may describe the same image in different ways [1][2] To overcome the drawbacks of the text based approach, the content based image retrieval (CBIR) approach [1] 2] that retrieves images directly and automatically based on their visual contents such as color, texture, and shape has emerged. In a typical CBIR system, the query pattern is query by ....
.... reason is perception subjectivity, which means that the rich meaning of an image is difficult to be precisely described and different people may describe the same image in different ways [1] 2] To overcome the drawbacks of the text based approach, the content based image retrieval (CBIR) approach [1][2] that retrieves images directly and automatically based on their visual contents such as color, texture, and shape has emerged. In a typical CBIR system, the query pattern is query by example, which searches the top N images similar to an example image. In general, the visual features are first ....
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Rui, Yong and Thomas S. Huang, "Image Retrieval: Current Techniques, Promising Directions and Open Issues," Journal of Visual Communication and Image Representation, Vol. 10, 39-62, March, 1999.
An Effective Content-based Visual Image Retrieval System - Xiuqi Li Shu-Ching (2002) (Correct)
....As a result, queue processing is speeded up. The experimental results demonstrate that our system is capable of retrieving images that belong to the same category. Keywords: Content Based Image Retrieval, Multimedia Systems. 1. Introduction The research in Image Retrieval began in the 1970s [1]. Initially, a text based approach was adopted. In this approach, human first manually annotates each image using keywords, and then images are retrieved based on the keywords in the text annotation. There are two main disadvantages in this approach. One is that it requires a huge amount of human ....
....There are two main disadvantages in this approach. One is that it requires a huge amount of human labor in the manual annotation when the image collection is large. The other one is that it is hard to precisely annotate the rich content of an image by humans due to perception subjectivity [1][2] The textbased approach remained popular until early 1990s when many large scale image collections emerged and the drawbacks of text based approach became more and more notorious. A new content based approach was then proposed and the research in content based image retrieval has been active ....
[Article contains additional citation context not shown here]
Y. Rui and T.S. Huang, "Image Retrieval: Current Techniques, Promising Directions and Open Issues," Journal of Visual Communication and Image Representation, 1999.
ImageRank: Spectral Techniques for Structural Analysis of.. - He, Ma, Zhang (2003) (Correct)
....analysis of image database using spectral techniques. This framework will help to develop new techniques for ranking, clustering, visualization, and semantic analysis of images in the database. Query by example has been the major search convention for many content based image retrieval systems [3][5] However, in many cases, it is difficult for the user to present good examples of what he is looking for without effectively browsing through the database. Hence an efficient browsing tool is essential to introduce the user to the contents of the database. We present a statistically and ....
....The core of our computational framework is the Normalized Laplacian P, which is a matrix inferred from the weight matrix of the nearest neighbor graph. 3. 1 Spectral Graph Partitioning Spectral partitioning has become one of the most successful heuristics for partitioning graphs and matrices [3]. Here we emphasize graph partition as data clustering using a graph model. Given the attributes (coordinates) of data points in a dataset and the similarity measure between any two points, the matrix containing similarities between all pairs of points forms a weighted adjacency matrix (weight ....
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Y. Rui, T.S. Huang, and S.-F. Chang, "Image retrieval: current techniques, promising directions and open issues", Journal of Visual Communication and Image Representation, Vol. 10, 39-62, March, 1999.
Image Retrieval Using Wavelet-Based Salient Points - Tian, Sebe, Lew, al. (2001) (6 citations) Self-citation (Huang) (Correct)
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Y. Rui, T. Huang, and S. Chang, "Image retrieval: Current techniques, promising directions and open issues," J. Visual Commun. Image Represent 10, 1--23 #1999#.
Content-Based Image Retrieval Using Wavelet-based.. - Tian, Sebe, Lew.. (2001) Self-citation (Huang) (Correct)
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Y. Rui, T. Huang and S. Chang, "Image retrieval: Current techniques, promising directions and open issues", Journal of visual communications and image representation, Vol. 10, pp. 1-23, 1999.
ImageSpace: An Image Ontology Creation and Annotation Tool.. - Huang, Lu, Fotouhi Self-citation (Huang) (Correct)
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Y. Rui, T.S. Huang, and S.-F. Chang, "Image retrieval: current techniques, promising directions and open issues", Journal of Visual Communication and Image Representation, Vol. 10, 39-62, March, 1999.
Hierarchical Indexing using R-trees for Replica Detection - Yannick Maret David (Correct)
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Y. Rui, T. Huang, and S. Chang, "Image retrieval: current techniques, promising directions and open issues," J. of Visual Communication and Image Representation 10, pp. 39--62, April 1999.
Image Replica Detection based on Support Vector Classifier - Maret Dufaux And (2005) (Correct)
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Y. Rui, T. Huang, and S. Chang, "Image retrieval: current techniques, promising directions and open issues," Journal of Visual Communication and Image Representation 10, pp. 39--62, April 1999.
Identification of Image Variations based on - Equivalence Classes Maret (Correct)
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Y. Rui, T. Huang, and S. Chang, "Image retrieval: current techniques, promising directions and open issues," Journal of Visual Communication and Image Representation 10, pp. 39--62, April 1999.
Fast Image Indexing And Visual Guided Browsing - Guoping Qiu Li (Correct)
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Y. Rui, T. S. Huang and S-F Chang, "Image retrieval: current techniques, promising directions, and open issues", Journal of visual communication and Image Representation, vol. 10, pp. 39 -- 63, 1999
Frequency Layered Color Indexing for - Content-Based Image Retrieval (2003) (Correct)
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Y. Rui, T. S. Huang, and S.-F. Chang, "Image retrieval: Current techniques, promising directions and open issues," J. Vis. Commun. Image Represent., vol. 10, pp. 39--63, 1999.
Spectral and Spatial Invariant Image - Retrieval Using Scene (2001) (Correct)
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Y. Rui et. al., "Image Retrieval: Current Techniques, Promising Directions, and Open Issues", J. Visual Comm. Image Representation, vol.10, pp.39-62, 1999.
Color Image Indexing Using BTC - Qiu (2003) (Correct)
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Y. Rui, T. S. Huang, and S. F. Chang, "Image retrieval: Current techniques, promising directions and open issues," J. Vis. Commun. Image Represent., vol. 10, pp. 39--62, 1999.
Content-Based Image retrieval . . . - Bauckhage (2003) (Correct)
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Y. Rui, T. Huang, and S. Chang, "Image retrieval: current techniques, promising directions and open issues," J. of Visual Communication and Image Representation, vol. 10, no. 4, pp. 39--62, 1999.
An Integrated Content and Metadata Based Retrieval.. - Lewis, Martinez.. (2004) (Correct)
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Y. Rui, T. S. Huang, and S.-F. Chang, "Image retrieval: Current techniques, promising directions, and open issues," J. Vis. Commun. Image Represent., vol. 10, pp. 39--62, 1999.
SASI: A Generic Texture Descriptor for Image Retrieval - Carkacioglu, Vural (2003) (Correct)
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Y. Rui and T. Huang and S. Chang, "Image Retrieval: Current Techniques, Promising Directions And Open Issues", Journal of Visual Communication and Image Representation, Vol. 10, no. 4, pp. 39-62, April 1999
International Journal of Image and Graphics - Chen, Hu, Zhang, Li, Zhang (2002) (Correct)
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Y. Rui, T. S. Huang, and S. Chang, "Image retrieval: current techniques, promising directions and open issues," J. Visual Commun. Image Representation 10, 39 (1999).
Exploiting Locality for Scalable Information.. -.. (2003) (Correct)
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Rui Y., Huang T.S., and Chang S.F. "Image Retrieval: Current Techniques, Promising Directions and Open Issues" Journal of Visual Communication and Image Representation, Vol. 10, 39-62, March, 1999.
Filter Image Browsing: Interactive Image Retrieval by.. - Vendrig, Worring.. (2001) (1 citation) (Correct)
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Y. Rui, T.S. Huang, and S.-F. Chang, "Image retrieval: Current techniques, promising directions and open issues," Journal of Visual Communication and Image Representation, Vol. 10, pp. 1--23, 1999.
Spectral and Spatial Invariant Image - Retrieval Using Scene (2001) (Correct)
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Y. Rui et. al., "Image Retrieval: Current Techniques, Promising Directions, and Open Issues", J. Visual Comm. Image Representation, vol.10, pp.39-62, 1999.
Integrated Semantic-Syntactic Video Modeling for Search.. - Ekin, Tekalp, Mehrotra (Correct)
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Region-Based Image Retrieval Using Wavelet Transform - Suematsu, Ishida, Hayashi.. (2002) (Correct)
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Y. Rui, T. S. Huang, and S.-F. Chang, "Image retrieval: Current techniques, promising directions and open issues, " Journal of Visual Communication and Image Representation, vol. 10, pp. 39--62, March 1999.
Contextually Meaningful Representation of Color for the.. - Volmer, Diakopoulos (2003) (Correct)
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Y. Rui, T. S. Huang, and S. F. Chang, "Image Retrieval: Current Techniques, Promising Directions, and Open Issues," Visual Communication and Image Representation, vol. 10, no. 4, pp. 39--62, 1999.
Image Retrieval by Color, Texture, and Spatial Information - Li, Chen, al. (Correct)
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Yong Rui and Thomas S. Huang, "Image Retrieval: Current Techniques, Promising Directions and Open Issues," Journal of Visual Communication and Image Representation, 1999.
From Low Level Features To High Level - Zhang (Correct)
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Y. Rui and T. S. Huang, "Image Retrieval: Current Techniques, Promising, Directions and Open Issues", Journal of Visual Communication and Image Representation, Vol. 10, No. 4, April 1999.
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