S. Santini and R. Jain. The graphical specification of similarity queries. Journal of Visual Languages and Computing, 7(4):403--421, 1997. Home/Search Document Details and Download
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Image Indexing and Content-based Search using.. - Heinrichs.. (2000) (2 citations) (Correct)
....been interpreted (i.e. they belong to the same class and can be characterized by some high level features like keywords) In this paper, we deal with the first class, e.g. the pre attentive similarities, and we will no longer assume any high level features. Moreover, as Santini and Jain did [Santini Jain, 1997], we assume that attentive similarity is based on features specific of the recognition process, while pre attentive similarity is based on image features only. So, the database we are working with will not be organized in any sense, nor be related to any specific application field. In the ....
Santini S. & Jain R. (1997). The Graphical Specification of Similarity Queries. Journal of Visual Languages and Computing.
Robust Image Retrieval in a Statistical Framework - Heinrichs, Koubaroulis.. (1999) (1 citation) (Correct)
....have previously benn interpreted (i.e. they belong to the same class and can be characterized by some high level features) In this report, we wdeal with the first class, e.g. the pre attentive similarity, and we will no longer assume any high level features. Moreover, as Santini and Jain did [12], we assume that attentive similarity is based on features specific of the recognition process, while pre attentive similarity is based on image features only. Basically, a classic approach is first, to extract these features from the images of the database, then, summarize these features in a ....
....the order of the features before computing the similarity. The selected features will be assigned to the larger weights and consequently their contribution to the match value will be higher. Another very important issue that is being addressed by our matching function is that of complex queries [12]. The user may be interested in images that have ( shape = circle ) and ( color= blue ) With a proper modification of the weights of the similarity function ( the system can determine the similarity of the combined query by averaging only the selected features. Although it is not as efficient as ....
S. Santini and R. Jain. The graphical specification of similarity queries. Journal of Visual Languages and Computing, 1997.
Visual Navigation in Perceptual Databases - Santini, Jain Self-citation (Santini Jain) (Correct)
....are searched through their perceptual characteristics. These databases operate directly on the image data, and require no encoding or labeling by an operator. Working with perceptual data requires to rethink and reanalyze many aspects of database organization that are usually taken for granted [10, 11]. In particular, the fundamental operation in databases, matching an item against a query, loses meaning at the perceptual level, and therefore image databases should not use it [9, 10, 11] How can we make searches in a database if we cannot match things We are not the first in history looking ....
.... data requires to rethink and reanalyze many aspects of database organization that are usually taken for granted [10, 11] In particular, the fundamental operation in databases, matching an item against a query, loses meaning at the perceptual level, and therefore image databases should not use it [9, 10, 11]. How can we make searches in a database if we cannot match things We are not the first in history looking for this answer. Many simple animals, who don t have a nervous system extended enough to sustain complex perception and categorization, faced the same problem a few hundred millions years ....
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Simone Santini and Ramesh Jain. The graphical specification of similarity queries. Journal of Visual Languages and Computing, 1997. available at http://www-cse.ucsd.edu/users/ssantini.
An Attention-Driven Model for Grouping Similar Images.. - Marques, Mayron.. (2006) (Correct)
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S. Santini and R. Jain. The graphical specification of similarity queries. Journal of Visual Languages and Computing, 7(4):403--421, 1997.
On the Potential of Incorporating Knowledge of Human.. - Marques, Mayron.. (2006) (Correct)
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S. Santini and R. Jain, "The graphical specification of similarity queries," Journal of Visual Languages and Computing, vol. 7, no. 4, pp. 403--421, 1997.
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