Object of Interest based visual navigation, retrieval and semantic content identification system

Object of Interest based visual navigation, retrieval and semantic content identification system (2003)

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by Khalid Idrissi , Guillaume Lavoué , Julien Ricard , Atilla Baskurt

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BibTeX

@MISC{Idrissi03objectof,
    author = {Khalid Idrissi and Guillaume Lavoué and Julien Ricard and Atilla Baskurt},
    title = {Object of Interest based visual navigation, retrieval and semantic content identification system},
    year = {2003}
}

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Abstract

This study presents a Content Based Image Retrieval system IMALBUM based on local region of interest called Object of Interest (OOI). Each segmented or userselected OOI is indexed with new local adapted descriptors associated to color, texture and shape features. This local approach is an e#cient way to associate the local semantic content with low level descriptors (color, texture, shape...) computed on regions selected by the user. So the user actively takes part in the indexing process (o#ine) and can use a selected OOI as a query for the retrieval system (online). The IMALBUM system proposes original functionalities. A visual navigation tool allows to surf in the image database when the user has no precise idea of what he is really searching for in the database. Furthermore, when an OOI is selected as a query for retrieval, a semantic content identification tool indicates to the user the probable class of this unknown object. The performance of these di#erent tools are evaluated on di#erent databases.

Citations

1433	Principal component analysis - Jolliffe - 1986
917	Pattern Recognition with Fuzzy Objective Function Algorithms - Bezdek - 1981
872	Information theory and statistics - Kullback - 1959
413	Statistical and structural approaches to texture - Haralick - 1979
355	Photobook: Tools for content-based manipulation of image databases - Pentland, Sclaroff
309	A nonlinear mapping for data structure analysis - Sammon
307	SIMPLIcity: semantics-sensitive integrated matching for picture libraries - Wang, Li, et al. - 2001
281	Textural features corresponding to visual perception - Tamura, Mori, et al. - 1978
273	NETRA: A Toolbox for Navigating Large Image Databases - Ma, Manjunath
150	ªThe Bayesian Image Retrieval System, PicHunter: Theory - Cox, Miller, et al. - 2000
92	Dubes, “performance evaluation for four classes of texture features - Ohanian, C - 1992
88	Video parsing, retrieval and browsing: An integrated and content-based solution - Zhang, Low, et al. - 1995
64	Multimedia analysis and retrieval system”, submitted to 3 rd Int. workshop on Information Retrieval Systems - Mehrotra, Rui, et al. - 1997
59	Perceptual Metrics for Image Database Navigation - Rubner, Tomasi - 2000
43	PicSOM— content-based image retrieval with self-organizing maps - Laaksonen, Koskela, et al. - 2000
37	MetaSEEk: A contentbased meta-search engine for images - Beigi, Benitez, et al. - 1998
37	Texture descriptors based on cooccurrence matrices - Gotlieb, Kreyszig - 1990
33	Querying by color regions using the VisualSEEk content-based visual query system - Smith, Chang
33	A comparison of wavelet transform features for texture image annotation - Ma, Manjunath - 1995
25	Texture Classification Using QMF Bank-Based Subband Decomposition - Kundu, Chen - 1992
22	Similarity pyramids for browsing and organization of large image databases - Chen, Bouman, et al. - 1998
20	A segmentation algorithm for color images - Schettini - 1994
17	Color Image Segmentation by a Watershed Algorithm and Region Adjacency Graph - Saarinen - 1994
14	Webcrawling using sketches - Lew, Lempinen, et al. - 1997
13	The QBIC project: Quering images by content using color, texture and shape - Niblack, Berber, et al. - 1994
12	A Maximum Likelihood approach to Texture Classification Using Wavelet Transform - Thyagarajan, Nguyen, et al. - 1994
12	MPEG-7 Visual part of experimentation model version 5.0 - Jeannin - 2000
12	A new region-based shape descriptor - Kim - 1999
9	Minimum Cross-Entropy Thresholding - Li, Lee - 1993
8	Integrated Browsing and Searching of Large Image Collections - Pecenovic, Do, et al. - 2000
8	Theory and Methods of Scaling - Torgeson - 1958
7	S.: A Two-Dimensional Extension of Minimum Cross Entropy Thresholding for the Segmentation of Ultrasound Images - Zimmer, Tepper, et al. - 1996
6	Interactive neural network texture analysis and visualization for surface reconstruction in medical imaging - Busch, Gross - 1993
6	Visualization of information spaces to retrieve and browse image data - Hiroike, Musha, et al. - 1999
5	Spatial visualization for content-based image retrieval - Moghaddam, Tian, et al. - 2001
3	An image retrieval system based on local and global color descriptors - Idrissi, Ricard, et al. - 2001
2	Measuring similarity between color image regions - Akcay, Baskurt, et al. - 2002
2	An objective performance evaluation tool for color based image retrieval systems - Idrissi, Ricard, et al. - 2002
1	Multi-component cross entropy segmentation for color image retrieval - Idrissi, Ricard, et al.
1	A theorical comparaison of texture algorithms - Conners, Harlow - 1980
1	Munehiro Nakazato, 3d mars: Immersive virtual reality for contentbased image retrieval - H - 2001