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» Textural Features and Relevance Feedback for Image Retrieval
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MMSP
2008
IEEE
349views Multimedia» more  MMSP 2008»
15 years 6 months ago
Content based image retrieval using curvelet transform
Abstract—Feature extraction is a key issue in contentbased image retrieval (CBIR). In the past, a number of texture features have been proposed in literature, including statistic...
Ishrat Jahan Sumana, Md. Monirul Islam, Dengsheng ...
CVPR
2004
IEEE
16 years 1 months ago
Object-Based Image Retrieval Using the Statistical Structure of Images
We propose a new Bayesian approach to object-based image retrieval with relevance feedback. Although estimating the object posterior probability density from few examples seems in...
Derek Hoiem, Rahul Sukthankar, Henry Schneiderman,...
ICANN
2010
Springer
14 years 9 months ago
Shape-Based Tumor Retrieval in Mammograms Using Relevance-Feedback Techniques
Abstract. This paper presents an experimental "morphological analysis" retrieval system for mammograms, using Relevance-Feedback techniques. The features adopted are firs...
Stylianos D. Tzikopoulos, Harris V. Georgiou, Mich...
ICMI
2009
Springer
164views Biometrics» more  ICMI 2009»
15 years 6 months ago
GaZIR: gaze-based zooming interface for image retrieval
We introduce GaZIR, a gaze-based interface for browsing and searching for images. The system computes on-line predictions of relevance of images based on implicit feedback, and wh...
László Kozma, Arto Klami, Samuel Kas...
ACIVS
2005
Springer
15 years 5 months ago
Interactive Object-Based Retrieval Using Relevance Feedback
In this paper we present an interactive, object-based video retrieval system which features a novel query formulation method that is used to iteratively refine an underlying model...
Sorin Sav, Hyowon Lee, Noel E. O'Connor, Alan F. S...