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Enhanced Boundary Partition Color Descriptor for Deformable Object Retrieval
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  • Journal title : Journal of Broadcast Engineering
  • Volume 20, Issue 5,  2015, pp.778-781
  • Publisher : The Korean Institute of Broadcast and Media Engineers
  • DOI : 10.5909/JBE.2015.20.5.778
 Title & Authors
Enhanced Boundary Partition Color Descriptor for Deformable Object Retrieval
Jung, Hyun-il; Kim, Hae-kwang;
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The 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.
boundary descriptor;deformable object;object retrieval;color descriptor;
 Cited by
영상 분할을 이용한 영상 전송 시스템에 대한 연구,김영섭;박인호;이용환;

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D. G. LOWE, "Distinctive Image Features from Scale-Invariant Keyoints", International Jounal of Computer Vision, vol. 60, pp.91-110, November, 2004 crossref(new window)

ISO/MPEG N4320, "MPEG-7 Requirements Document,v 15", F. Pereira, ed., MPEG Requirements Group, Sydney, July 2001

M. Cho J. Lee and K. Lee, "Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering", IEEE 12th International Conference on Computer Vision, pp.1280-1287, October, 2009

H. I. Jung and H. K. Kim, "Boundary and Interior Dominant Color Descriptor for Handbag Deformable Object Retrieval", Workshop on Image Processing and Image Understanding, February, 2015

B. S. Manjunath, Jens-Rainer Ohm, Vinod V. Vasudevan, and Akio Yamada, "Color and Texture Descriptors", IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 11, NO. 6, pp.703-715, June, 2001 crossref(new window)