TY - GEN
T1 - A graph based object description for information retrieval in digital image and video libraries
AU - Ozer, Burak
AU - Wolf, Wayne
AU - Akansu, Ali N.
N1 - Publisher Copyright:
© 1999 IEEE.
PY - 1999
Y1 - 1999
N2 - Search algorithms for objects of interest (OOIs) related to shape similarity in a video or image library have been implemented by various research groups. This work focuses on the search of a sample object (a car) in video sequences and images related to the shape similarity. We also investigate a new description for cars, using relational graphs. The goal of this study is to investigate the shape matching method based on a relational graph of objects, with respect to its accuracy, efficiency and scalability. The aim is to annotate the images where an OOI is present. Then, text-based querying can be performed to extract images of the OOI from a pre-processed database. The graph-based description of the object, with its meaningful parts, provides an efficient way to obtain high-level semantics from low-level features. The hierarchical segmentation increases the object detection accuracy in transformed and occluded images.
AB - Search algorithms for objects of interest (OOIs) related to shape similarity in a video or image library have been implemented by various research groups. This work focuses on the search of a sample object (a car) in video sequences and images related to the shape similarity. We also investigate a new description for cars, using relational graphs. The goal of this study is to investigate the shape matching method based on a relational graph of objects, with respect to its accuracy, efficiency and scalability. The aim is to annotate the images where an OOI is present. Then, text-based querying can be performed to extract images of the OOI from a pre-processed database. The graph-based description of the object, with its meaningful parts, provides an efficient way to obtain high-level semantics from low-level features. The hierarchical segmentation increases the object detection accuracy in transformed and occluded images.
UR - http://www.scopus.com/inward/record.url?scp=0003113535&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0003113535&partnerID=8YFLogxK
U2 - 10.1109/IVL.1999.781128
DO - 10.1109/IVL.1999.781128
M3 - Conference contribution
AN - SCOPUS:0003113535
T3 - Proceedings - IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 1999 - In conjunction with IEEE CVPR 1999
SP - 79
EP - 83
BT - Proceedings - IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 1999 - In conjunction with IEEE CVPR 1999
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1999 IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 1999
Y2 - 22 June 1999
ER -