Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Digital image processing
Efficient and effective querying by image content
Journal of Intelligent Information Systems - Special issue: advances in visual information management systems
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
ACCV '95 Invited Session Papers from the Second Asian Conference on Computer Vision: Recent Developments in Computer Vision
CAIVL '97 Proceedings of the 1997 Workshop on Content-Based Access of Image and Video Libraries (CBAIVL '97)
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
PISARO: Perceptual Colour and Texture Queries using Stackable Mosaics
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Multiple Example Queries in Content-Based Image Retrieval
SPIRE 2002 Proceedings of the 9th International Symposium on String Processing and Information Retrieval
Improving image retrieval effectiveness via multiple queries
MMDB '03 Proceedings of the 1st ACM international workshop on Multimedia databases
Improving Image Retrieval Effectiveness via Multiple Queries
Multimedia Tools and Applications
Active selection for multi-example querying by content
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Content-based image retrieval using image regions as query examples
ADC '08 Proceedings of the nineteenth conference on Australasian database - Volume 75
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A major hurdle in practical Content-Based Image Retrieval (CBIR) is conveying the user's information need to the system. One common method of query specification is to express the query using one or more example images. In this work, we consider whether using more examples improves the effectiveness of CBIR in meeting a user's information need. We show that using multiple examples improves retrieval effectiveness by around 9%-20% over single-example queries, but that further improvements in using more than two examples may not justify the added processing required.