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» The Terminological Image Retrieval Model
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ICDE
2006
IEEE
191views Database» more  ICDE 2006»
14 years 9 months ago
Query Decomposition: A Multiple Neighborhood Approach to Relevance Feedback Processing in Content-based Image Retrieval
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...
Kien A. Hua, Ning Yu, Danzhou Liu
CVIU
2007
113views more  CVIU 2007»
13 years 7 months ago
Primal sketch: Integrating structure and texture
This article proposes a generative image model, which is called ‘‘primal sketch,’’ following Marr’s insight and terminology. This model combines two prominent classes of...
Cheng-en Guo, Song Chun Zhu, Ying Nian Wu
EKAW
2004
Springer
14 years 1 months ago
KATS: A Knowledge Acquisition Tool Based on Electronic Document Processing
This paper describes a particular knowledge acquisition tool for the construction and maintenance of the knowledge model of an intelligent system for emergency management in the fi...
Martín Molina, Gemma Blasco
CBMS
2002
IEEE
14 years 18 days ago
Content-Based and Metadata Retrieval in Medical Image Database
The need for systems that can stock, represent, and provide efficient retrieval facilities of images of particular interest is becoming very high in medicine. In this respect, a l...
Solomon Atnafu, Richard Chbeir, Lionel Brunie
ICTIR
2009
Springer
14 years 2 months ago
A Four-Factor User Interaction Model for Content-Based Image Retrieval
In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques i...
Haiming Liu 0002, Victoria S. Uren, Dawei Song, St...