TY - GEN
T1 - Slim-Tree and BitMatrix index structures in image retrieval system using MPEG-7 Descriptors
AU - Açar, Esra
AU - Arslan, Serdar
AU - Yazici, Adnan
AU - Koyuncu, Murat
PY - 2008
Y1 - 2008
N2 - Content-based retrieval of multimedia data has still been an active research area. The efficient retrieval in natural images has been proven a difficult task for content-based image retrieval systems. In this paper, we present a system that adapts two different index structures, namely Slim-Tree and BitMatrix, for efficient retrieval of images based on multidimensional low-level features such as color, texture and shape. These index structures also use metric space. We use MPEG-7 Descriptors extracted from images to represent these features and store them in a native XML database. The low-level features; Color Layout (CL), Dominant Color (DC), Edge Histogram (EH) and Region Shape (RS) are used in Slim-Tree and BitMatrix and aggregated by Ordered Weighted Averaging (OWA) method to find final similarity between any two objects. The experiments included in the paper are in the subject of index construction and update, query response time and retrieval effectiveness using ANMRR performance metric and precision/recall scores. The experimental results strengthen the case that uses BitMatrix along with Ordered Weighted Averaging method in content-based image retrieval systems.
AB - Content-based retrieval of multimedia data has still been an active research area. The efficient retrieval in natural images has been proven a difficult task for content-based image retrieval systems. In this paper, we present a system that adapts two different index structures, namely Slim-Tree and BitMatrix, for efficient retrieval of images based on multidimensional low-level features such as color, texture and shape. These index structures also use metric space. We use MPEG-7 Descriptors extracted from images to represent these features and store them in a native XML database. The low-level features; Color Layout (CL), Dominant Color (DC), Edge Histogram (EH) and Region Shape (RS) are used in Slim-Tree and BitMatrix and aggregated by Ordered Weighted Averaging (OWA) method to find final similarity between any two objects. The experiments included in the paper are in the subject of index construction and update, query response time and retrieval effectiveness using ANMRR performance metric and precision/recall scores. The experimental results strengthen the case that uses BitMatrix along with Ordered Weighted Averaging method in content-based image retrieval systems.
KW - BitMatrix
KW - Content-based image retrieval
KW - MPEG-7
KW - OWA
KW - Slim-tree
KW - XML database
UR - http://www.scopus.com/inward/record.url?scp=51849154786&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51849154786&partnerID=8YFLogxK
U2 - 10.1109/CBMI.2008.4564975
DO - 10.1109/CBMI.2008.4564975
M3 - Conference contribution
AN - SCOPUS:51849154786
SN - 9781424420445
T3 - 2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings
SP - 402
EP - 409
BT - 2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings
T2 - 2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008
Y2 - 18 June 2008 through 20 June 2008
ER -