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» Instance-Based Relevance Feedback for Image Retrieval
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ICIP
2007
IEEE
14 years 1 months ago
Estimating Missing Features to Improve Multimedia Retrieval
Retrieval in a multimedia database usually involves combining information from different modalities of data, such as text and images. However, all modalities of the data may not b...
Abraham Bagherjeiran, Nicole S. Love, Chandrika Ka...
MTA
2008
146views more  MTA 2008»
13 years 7 months ago
A survey of browsing models for content based image retrieval
The problem of content based image retrieval (CBIR) has traditionally been investigated within a framework that emphasises the explicit formulation of a query: users initiate an au...
Daniel Heesch
CLEF
2005
Springer
14 years 1 months ago
The Use of MedGIFT and EasyIR for ImageCLEF 2005
This article describes the use of the medGIFT and easyIR retrieval systems for three of the four ImageCLEF 2005 retrieval tasks. We participated in the ad–hoc retrieval task that...
Henning Müller, Antoine Geissbühler, Joh...
CIVR
2004
Springer
166views Image Analysis» more  CIVR 2004»
14 years 27 days ago
Object Segmentation and Ontologies for MPEG-2 Video Indexing and Retrieval
Abstract. A novel approach to object-based video indexing and retrieval is presented, employing an object segmentation algorithm for the real-time, unsupervised segmentation of com...
Vasileios Mezaris, Michael G. Strintzis
BDA
2007
13 years 9 months ago
Hyperplane Queries in a Feature-Space M-tree for Speeding up Active Learning
In content-based retrieval, relevance feedback (RF) is a noticeable method for reducing the “semantic gap” between the low-level features describing the content and the usually...
Michel Crucianu, Daniel Estevez, Vincent Oria, Jea...