Representation of local geometry in the visual system
Biological Cybernetics
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
International Journal of Computer Vision
Statistical feature matrix for texture analysis
CVGIP: Graphical Models and Image Processing
Color Image Segmentation using Competitive Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multimedia Systems - Special issue on content-based retrieval
CORE: a content-based retrieval engine for multimedia information systems
Multimedia Systems - Special issue on content-based retrieval
Local Invariants For Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of regions matching specified chromatic features
Computer Vision and Image Understanding
Color matching for image retrieval
Pattern Recognition Letters
An image retrieval model based on classical logic
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic image annotation using adaptive color classification
Graphical Models and Image Processing
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Knowledge-based image understanding systems: a survey
Computer Vision and Image Understanding
Probabilistic Visual Learning for Object Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Querying by color regions using VisualSEEk content-based visual query system
Intelligent multimedia information retrieval
An agent-based architecture for content-based multimedia browsing
Intelligent multimedia information retrieval
A framework for developing content-based retrieval systems
Intelligent multimedia information retrieval
Geometry-Driven Diffusion in Computer Vision
Geometry-Driven Diffusion in Computer Vision
Computer and Robot Vision
Efficient Color Histogram Indexing for Quadratic Form Distance Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Markov Random Field Models for Unsupervised Segmentation of Textured Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Intelligent Image Database System
IEEE Transactions on Software Engineering
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
The Manchester Multimedia Information System
EDBT '92 Proceedings of the 3rd International Conference on Extending Database Technology: Advances in Database Technology
Semantic Queries with Pictures: The VIMSYS Model
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
Combining greyvalue invariants with local constraints for object recognition
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Image Indexing Using Shape-Based Visual Features
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Indexing pictorial documents by their content: a survey of current techniques
Image and Vision Computing
Texture Analysis Using Generalized Co-Occurrence Matrices
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-model similarity propagation and its application for web image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
A new approach for interactive semantic image retrieval using the high level semantics
Proceedings of the 2008 ACM symposium on Applied computing
Hi-index | 0.00 |
This paper addresses the issue of retrieving images based on visual content, according a particular attention to the semantic dimension of information retrieval. A brief review of existing Image Retrieval Systems is provided, hilighting a major drawback of these prototypes, namely the lack of integration between classical "semantic search", and visual similarity retrieval (i.e. content-based retrieval). A new approach is proposed, that tries to integrate a real "semantic" dimension into visual content-based image retrieval. Images may be retrieved either by keyword matching (for manually indexed images), or by visual content matching. This approach is then particularly adapted to partially indexed databases, and may be used in a semi-automatic indexing tool.