Efficient and effective querying by image content
Journal of Intelligent Information Systems - Special issue: advances in visual information management systems
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
NeTra: a toolbox for navigating large image databases
Multimedia Systems - Special issue on video content based retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Wiener Filter and Regularization Methods for Image Restoration Problems
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
IEEE Transactions on Knowledge and Data Engineering
CoIRS: Cluster-Oriented Image Retrieval System
ICTAI '04 Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence
A survey of content-based image retrieval with high-level semantics
Pattern Recognition
Partial likelihood for estimation of multi-class posterior probabilities
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Shape-Based Trademark Retrieval Using Cosine Distance Method
ISDA '08 Proceedings of the 2008 Eighth International Conference on Intelligent Systems Design and Applications - Volume 02
Automatic image segmentation by positioning a seed
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
New insights into the noise reduction Wiener filter
IEEE Transactions on Audio, Speech, and Language Processing
Proceedings of the 2011 conference on Information Modelling and Knowledge Bases XXII
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The application area of image retrieval systems has widely spread to the WWW and multimedia database environments. This paper presents an image search system with analytical functions for combining shape, structure, and color features. The system pre-processes an image segmentation from hybrid color systems of HSL and CIELAB. This segmentation process includes a new mechanism for clustering the elements of high-resolution images in order to improve precision and reduce computation time. The system extracts three features of an image which are color, shape and structure. We apply the 3D Color Vector Quantization for the color feature extraction. The shape properties of an image which include eccentricity, area, equivalent diameter, and convex area, are analyzed for extracting the shape feature. The image structure is identified by applying 2D Forward Mirror-Extended Curvelet Transform. Another distinctive idea introduced in this paper is a new distance metric which represents a semantic similarity. This paper has evaluations of the system using 1000 JPEG images from COREL image collections. The experimental results clarify the feasibility and effectiveness of the proposed system to improve accuracy for image retrieval.