Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Efficient and effective querying by image content
Journal of Intelligent Information Systems - Special issue: advances in visual information management systems
Fast multiresolution image querying
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Visual information retrieval
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
Are two pictures better than one?
ADC '01 Proceedings of the 12th Australasian database conference
Computer Vision
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
A Fuzzy Object Query Language (FOQL) for Image Databases
DASFAA '99 Proceedings of the Sixth International Conference on Database Systems for Advanced Applications
Similarity Search Using Multiple Examples in MARS
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
CAIVL '97 Proceedings of the 1997 Workshop on Content-Based Access of Image and Video Libraries (CBAIVL '97)
Defining Image Content with Multiple Regions-of-Interest
CBAIVL '99 Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries
NeTra: a toolbox for navigating large image databases
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Content-based image retrieval using image regions as query examples
ADC '08 Proceedings of the nineteenth conference on Australasian database - Volume 75
Hi-index | 0.00 |
Content-Based Image Retrieval (cbir) is the practical class of techniques used for information retrieval from large image collections. Many CBIR systems allow users to specify their information need by providing an example image. This query-by-example paradigm can be extended to support multiple example images. In this work, we present a large-scale experiment that shows the average performance of querying with multiple examples is significantly better than single-example querying. We also investigate the effects of providing different numbers of example images, the impact of example quality, and the relative performance of functions used to combine image features. Our experiments indicate that three-example queries are more effective than other numbers of examples, and that the minimum combining function is robust for most query types.