Illumination and color in computer generated imagery
Illumination and color in computer generated imagery
International Journal of Computer Vision
Applying relevance feedback to a photo archival system
Journal of Information Science
Efficient and effective querying by image content
Journal of Intelligent Information Systems - Special issue: advances in visual information management systems
Content-based retrieval of segmented images
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
An integrated color-spatial approach to content-based image retrieval
Proceedings of the third ACM international conference on Multimedia
Photobook: content-based manipulation of image databases
International Journal of Computer Vision
Comparing images using color coherence vectors
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Combining supervised learning with color correlograms for content-based image retrieval
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Computer Vision
Finding Waldo, or Focus of Attention Using Local Color Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Learning
Automatic Video Indexing and Full-Video Search for Object Appearances
Proceedings of the IFIP TC2/WG 2.6 Second Working Conference on Visual Database Systems II
Color-Based Pseudo Object Model for Image Retrieval with Relevance Feedback
AMCP '98 Proceedings of the First International Conference on Advanced Multimedia Content Processing
Histogram refinement for content-based image retrieval
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Fast signature-based color-spatial image retrieval
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Color Clustering Techniques for Color-Content-Based Image Retrieval from Image Databases
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Content-based image retrieval: color and edges
Content-based image retrieval: color and edges
A Perceptual Colour Segmentation Algorithm
A Perceptual Colour Segmentation Algorithm
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Distribution-based similarity for multi-represented multimedia objects
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Index-supported similarity search using multiple representations
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
Hi-index | 0.00 |
Color has been widely used in content-based image retrieval systems. The problem with using color is that its representation is low level and hence its retrieval effectiveness is limited. This paper investigates techniques to improving the effectiveness of image retrieval based on colors. It examines the choice of suitable color space and color resolution. It describes two techniques for image retrieval with relevance feedback (RF). The first uses machine learning algorithms to extract significant color intervals and build the decision tree from the relevant image set to support effective RF. The second employs color coherent vector (CCV), in which the pseudo object information encoded in CCV is used for RF. Both techniques have been tested on a large image database containing over 12,000 images. Tests were also performed to evaluate the effectiveness of retrieval at different color resolutions. The results demonstrate that our RF techniques are effective and a medium color resolution of 176 colors performs the best.