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2005 IEEE International Conference on Multimedia and Expo
Video handover for retrieval in a ubiquitous environment using floor sensor data
Amsterdam, Netherlands
July 06-July 06
ISBN: 0-7803-9331-7
ASCII Text
x 
 
G.C. de Silva, T. Yamasaki, T. Ishikawa, K. Aizawa, "Video handover for retrieval in a ubiquitous environment using floor sensor data," Multimedia and Expo, IEEE International Conference on, pp. 4 pp., 2005 IEEE International Conference on Multimedia and Expo, 2005.
 
 
BibTex
x
 
@article{ 10.1109/ICME.2005.1521403,
author = {G.C. de Silva and T. Yamasaki and T. Ishikawa and K. Aizawa},
title = {Video handover for retrieval in a ubiquitous environment using floor sensor data},
journal ={Multimedia and Expo, IEEE International Conference on},
volume = {0},
year = {2005},
isbn = {0-7803-9331-7},
pages = {4 pp.},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2005.1521403},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Multimedia and Expo, IEEE International Conference on
TI - Video handover for retrieval in a ubiquitous environment using floor sensor data
SN - 0-7803-9331-7
SP
EP
A1 - G.C. de Silva,
A1 - T. Yamasaki,
A1 - T. Ishikawa,
A1 - K. Aizawa,
PY - 2005
KW - video handover
KW - video retrieval
KW - ubiquitous environment
KW - floor sensor data
KW - multiple stationary camera
KW - unsupervised data mining technique
KW - noise reduction
KW - agglomerative hierarchical clustering
KW - footpath segmentation
KW - key frame sequence
VL - 0
JA - Multimedia and Expo, IEEE International Conference on
ER -
 
G.C. de Silva, Dept. Frontier Inf., Tokyo Univ., Japan
T. Yamasaki, Dept. Frontier Inf., Tokyo Univ., Japan
T. Ishikawa, Dept. Frontier Inf., Tokyo Univ., Japan
K. Aizawa, Dept. Frontier Inf., Tokyo Univ., Japan
A system for retrieving video captured in a ubiquitous environment is presented. Data from pressure-based floor sensors are obtained as a supplementary input together with video from multiple stationary cameras. Unsupervised data mining techniques are used to reduce noise present in floor sensor data. An algorithm based on agglomerative hierarchical clustering is used to segment footpaths of individual persons. Video handover is proposed and two methods are implemented to retrieve video and key frame sequences showing a person moving in the house. Users can query the system based on time and retrieve video or key frames using either of the handover techniques. We compare the results of retrieval using different techniques subjectively. We conclude with suggestions for improvements, and future directions.
Index Terms:
video handover, video retrieval, ubiquitous environment, floor sensor data, multiple stationary camera, unsupervised data mining technique, noise reduction, agglomerative hierarchical clustering, footpath segmentation, key frame sequence
Citation:
G.C. de Silva, T. Yamasaki, T. Ishikawa, K. Aizawa, "Video handover for retrieval in a ubiquitous environment using floor sensor data," icme, pp.4 pp., 2005 IEEE International Conference on Multimedia and Expo, 2005
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