S
Simone Santini
Researcher at Autonomous University of Madrid
Publications - 156
Citations - 9528
Simone Santini is an academic researcher from Autonomous University of Madrid. The author has contributed to research in topics: Image retrieval & Context (language use). The author has an hindex of 23, co-authored 154 publications receiving 9306 citations. Previous affiliations of Simone Santini include Eastman Kodak Company & University of Florence.
Papers
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Journal ArticleDOI
Content-based image retrieval at the end of the early years
TL;DR: The working conditions of content-based retrieval: patterns of use, types of pictures, the role of semantics, and the sensory gap are discussed, as well as aspects of system engineering: databases, system architecture, and evaluation.
Journal ArticleDOI
Similarity measures
Simone Santini,Ramesh Jain +1 more
TL;DR: A similarity measure is developed, based on fuzzy logic, that exhibits several features that match experimental findings in humans and is an extension to a more general domain of the feature contrast model due to Tversky (1977).
Journal ArticleDOI
Emergent semantics through interaction in image databases
TL;DR: It is argued that images don't have an intrinsic meaning, but that they are endowed with a meaning by placing them in the context of other images and by the user interaction.
Patent
Visual navigation in perceptual databases
Ramesh Jain,Simone Santini +1 more
TL;DR: In this paper, a similarity-based database of images, where images are ranked and correlated in correspondence to biological preattentive similarity, supports a new type of interface for visual navigation within the database to the end that a human may perceive not only selected images resultant from a query, but the relationship between the selected images.
Journal ArticleDOI
Integrated browsing and querying for image databases
Simone Santini,Ramesh Jain +1 more
TL;DR: This work replaced the usual query paradigm with a more active exploration process and developed an interface based on these premises to solve the problem of the semantic gap in the image database system El Nino.