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» Textural Features and Relevance Feedback for Image Retrieval
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ECIR
2011
Springer
14 years 3 months ago
Dynamic Two-Stage Image Retrieval from Large Multimodal Databases
Abstract. Content-based image retrieval (CBIR) with global features is notoriously noisy, especially for image queries with low percentages of relevant images in a collection. More...
Avi Arampatzis, Konstantinos Zagoris, Savvas A. Ch...
3DOR
2009
15 years 26 days ago
SHREC'09 Track: Structural Shape Retrieval on Watertight Models
The annual SHape REtrieval Contest (SHREC) measures the performance of 3D model retrieval methods for several different types of models and retrieval purposes. In this contest the...
J. Hartveldt, Michela Spagnuolo, Apostolos Axenopo...
JASIS
2006
164views more  JASIS 2006»
14 years 11 months ago
A study of interface support mechanisms for interactive information retrieval
Advances in search technology have meant that search systems can now offer assistance to users beyond simply retrieving a set of documents. For example, search systems are now cap...
Ryen W. White, Ian Ruthven
ICCV
2007
IEEE
16 years 1 months ago
Interactive Search for Image Categories by Mental Matching
Traditional image retrieval methods require a "query image" to initiate a search for members of an image category. However, when the image database is unstructured, and ...
Marin Ferecatu, Donald Geman
CVPR
2007
IEEE
15 years 3 months ago
Diverse Active Ranking for Multimedia Search
Interactively learning from a small sample of unlabeled examples is an enormously challenging task, one that often arises in vision applications. Relevance feedback and more recen...
ShyamSundar Rajaram, Charlie K. Dagli, Nemanja Pet...