Abstract
!/0%&#$1'2 3 '()4 5 6. 7 189:; %&?/0%&@A;BCC@A>D'()4EF:9'G D%&?M/%& #$ 6. #$ VW@AR# 6. :; VWaARb=>%&?/0VWaARb/0%&@AR#:`C%&1c-MPEG-7 Jd '()(dominant color descriptor)4EF:`ef'()4EF 6. bghi :`jkl%!a 6m no@Apq:`Rb 1,973r<his7Dt7u4Rv:w@x, bg ARR(Average Retrieval Ratio)4yz:`'G<MPEG-7 Jd '(?{:w6. AbstractThe paper presents a new way of visual descriptor for deformable object retrieval on the basis of partition based description. The proposed descriptor technology partitions a given object into boundary area and interior area and extracts a descriptor from each area. The final descriptor combines these descriptors. From a given image, deformable object is segmented. The center position of the deformable object is calculated. The object is partitioned into N × N blocks on the basis of the given center position. Blocks are classified as boundary area and interior area depending on the pixels in the block. The proposed descriptor consists of extracted MPEG-7 dominant descriptors from both the boundary and interior area. The performance of proposed method is tested on a database of 1,973 handbag images constructed with view point changes. ARR (Average Retrieval Rate) is used for the retrieval accuracy of the proposed algorithm, compared with MPEG-7 dominant color descriptor.Keyword : boundary descriptor, deformable object, object retrieval, color descriptor
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