Periodicity, Directionality, and Randomness: Wold Features for Image Modeling and Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape measures for content based image retrieval: a comparison
Information Processing and Management: an International Journal
Image description and retrieval
Image description and retrieval
Convexity rule for shape decomposition based on discrete contour evolution
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Retrieval by shape similarity with perceptual distance andeffective indexing
IEEE Transactions on Multimedia
PicToSeek: combining color and shape invariant features for image retrieval
IEEE Transactions on Image Processing
An efficient color representation for image retrieval
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Challenges of Image and Video Retrieval
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
A complete keypics experiment with size functions
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
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Shape is the most basic and convenient feature to describe objects. Retrieval by shape similarity is implemented in this project. Object shapes are segmented into tokens according to their local feature of minimum turn angle. User sketch is the query input and the retrieval algorithm matches the sketch with the nearest object in the database by using features distance. Scaling, rotation and missing sketch of objects are also considered in this paper. Together with the M-tree indexing, the system performance can be strengthened. However, many objects have similar outer shape boundary but different inner shapes. The retrieval accuracy will be affected by this situation. Hierarchical Shape Descriptor is proposed to solve the problem. It can distinguish similar outer boundaries but with different inner shapes objects. A completely new image retrieval system is implemented in order to accommodate the new image content descriptor. Our results show that the proposed system is fairly accurate and the Hierarchical Shape Descriptor is a better image content descriptor than the existing method using only the outer boundary.