Texture descriptors based on co-occurrence matrices
Computer Vision, Graphics, and Image Processing
A segmentation algorithm for color images
Pattern Recognition Letters
Texture classification using QMF bank-based subband decomposition
CVGIP: Graphical Models and Image Processing
Video parsing, retrieval and browsing: an integrated and content-based solution
Proceedings of the third ACM international conference on Multimedia
Photobook: content-based manipulation of image databases
International Journal of Computer Vision
Querying by color regions using VisualSEEk content-based visual query system
Intelligent multimedia information retrieval
NeTra: a toolbox for navigating large image databases
Multimedia Systems - Special issue on video content based retrieval
PicSOM—content-based image retrieval with self-organizing maps
Pattern Recognition Letters - Selected papers from the 11th scandinavian conference on image analysis
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Integrated Browsing and Searching of Large Image Collections
VISUAL '00 Proceedings of the 4th International Conference on Advances in Visual Information Systems
An Image Retrieval System Based on Local and Global Color Descriptions
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
A comparison of wavelet transform features for texture image annotation
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Perceptual metrics for image database navigation
Perceptual metrics for image database navigation
IEEE Transactions on Image Processing
Generalizations of angular radial transform for 2D and 3D shape retrieval
Pattern Recognition Letters
Content-based object organization for efficient image retrieval in image databases
Decision Support Systems
Combining local belief from low-level primitives for perceptual grouping
Pattern Recognition
Kernel Based Approach for High Dimensional Heterogeneous Image Features Management in CBIR Context
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
A new CAD mesh segmentation method, based on curvature tensor analysis
Computer-Aided Design
A Semi-Supervised Metric Learning for Content-Based Image Retrieval
International Journal of Computer Vision and Image Processing
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This study presents a content-based image retrieval system IMALBUM based on local region of interest called object of interest (OOI). Each segmented or user-selected OOI is indexed with new local adapted descriptors associated to color, texture, and shape features. This local approach is an efficient way to associate the local semantic content with low-level descriptors (color, texture, shape, etc.) computed on regions selected by the user. So the user actively takes part in the indexing process (offline) 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 different tools are evaluated on different databases.