Visual Image Retrieval by Elastic Matching of User Sketches
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape measures for content based image retrieval: a comparison
Information Processing and Management: an International Journal
CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
A Corner-Finding Algorithm for Chain-Coded Curves
IEEE Transactions on Computers
Fourier Descriptors for Plane Closed Curves
IEEE Transactions on Computers
A pivot-based index structure for combination of feature vectors
Proceedings of the 2005 ACM symposium on Applied computing
Free viewpoint action recognition using motion history volumes
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Features for image retrieval: an experimental comparison
Information Retrieval
Relevance feedback for content-based image retrieval: what can three mouse clicks achieve?
ECIR'03 Proceedings of the 25th European conference on IR research
Evaluation of VISTO: a new vector image search tool
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
VISTO: A new CBIR system for vector images
Information Systems
| Hi-index | 0.00 |
We study three transformation-invariant shape descriptors and evaluate their relative strengths in the context of content-based retrieval of graphical sketches. We show that the use of a combination of different shape representations may lead to a significant improvement of retrieval performance and identify an optimal combination that proves robust across different data sets and queries.