DocumentCode
2647679
Title
Study on performance of MPEG-7 visual descriptors for deformable object retrieval
Author
Jung Il Hyun ; Hae Kwang Kim ; Weon Gun Oh
Author_Institution
Dept. of Comput. Eng., Sejong Univ., Seoul, South Korea
fYear
2015
fDate
28-30 Jan. 2015
Firstpage
1
Lastpage
5
Abstract
This paper presents results on the study of MPEG-7 visual descriptors for deformable object retrieval. A database of 819 handbag images with shape masks are constructed with different variations such as morphing, illumination changes, view point changes and color changes. For color descriptors, all of 4 MPEG-7 color descriptors of Dominant Color descriptor, Color Structure descriptor, Color Layout descriptor and Scalable Color descriptor are tested. For texture descriptor, Homogeneous Texture descriptor and Edge Histogram descriptor are tested. For shape descriptors, Contour-based and Region based descriptor are tested. The retrieval rate of the descriptors and correlation of each pair of descriptors are studied. The result shows that the Scalable Color descriptor is the best in terms of retrieval rate and the color descriptors are relatively highly correlated among themselves.
Keywords
data compression; image coding; image colour analysis; image retrieval; lighting; shape recognition; MPEG-7 color descriptors; MPEG-7 visual descriptors; color layout descriptor; color structure descriptor; contour-based shape descriptors; deformable object retrieval; descriptor retrieval rate; descriptors pair correlation; dominant color descriptor; edge histogram descriptor; handbag images; homogeneous texture descriptor; illumination changes; morphing variation; region based shape descriptor; scalable color descriptor; shape masks; view point changes; MPEG-7 descriptors; color; deformable object; object retrieval; shape; texture;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers of Computer Vision (FCV), 2015 21st Korea-Japan Joint Workshop on
Conference_Location
Mokpo
Type
conf
DOI
10.1109/FCV.2015.7103701
Filename
7103701
Link To Document