Image Retrieval by Shape: A Comparative Study

Besides traditional applications e g CAD CAM and Trademark registry new multimedia applications such as structured video animation and MPEG standard require the storage and management of well de ned objects This study compared four shape based object retrieval techniques FD GB DT and TPV AS The simi larity retrieval accuracy of our method TV PAS was comparable to the other methods while it had the lowest computation cost to generate the shape signatures of the objects Moreover it has low storage requirement and a comparable computation cost to compute the similarity between two shape signatures In addition TPV AS requires no normalization of the objects and is the only method that has direct support to RST query types We also introduced a new shape description taxonomy