J.R. Smith and S-F.Chang VisualSEEk: a fully automated content-based image query system In ACM Multimedia '96, Nov. 1996. Home/Search Document Not in Database Summary Related Articles Check |
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Storage and Management of Similar Images - Jomier, Manouvrier, Rukoz (2000) (Correct)
....Distribuida Fac. de Ciencias Universidad Central de Venezuela. 1 Introduction It is commonly required in image processing and management systems to store different similar images representing the same reality . Measures on image similarity have been proposed on color [19, 4, 25, 28] texture [30, 31, 32] or shape [29, 7, 8] These similarity measures are mainly used in image databases to retrieve the images which are the most similar to an image example. In this paper, a new measure is defined on image similarity. It is based on a distance computed from the differences between the quad trees ....
....n value in different image quad trees is immediate. A prototype validating the GQT approach has been implemented at the University Central of Venezuela [13] Work is currently in progress on the building of accurate indexes of similarity between images according to other definitions of similarity [19, 28, 31, 32] used in image retrieval domain. Mechanisms proposed in the GQT approach have been extended to other data structure (B tree, R Tree) in [24] in order to enlarge the application domain of the Generic QuadTree. ....
J.R. Smith and S-F.Chang VisualSEEk: a fully automated content-based image query system In ACM Multimedia '96, Nov. 1996.
Semantic Visual Templates: Linking Visual Features to.. - Chang, Chen, Sundaram (1998) (6 citations) (Correct)
....in the sunset template, we are able to achieve 50 recall and 24 precision over a large unannotated database. 1. Introduction The presence of vast digital repositories (both on line and off line) has lead to many schemes to index and retrieve such data. QBIC [Faloutsos 1993] VisualSEEk [Simth 1996] and Virage [Hamrapur 1997] are examples of a content based paradigm as opposed to the old model based computer vision paradigm. Content based systems use feature vectors extracted from the data as indices for retrieval. Many systems also use keywords for retrieval when available. The society of ....
J.R. Smith and S.F. Chang VisualSEEK: A Fully Automated Content-Based Image Query System ACM Multimedia 1996, Boston MA, Nov. 1996.
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