TY - GEN
T1 - Detecting frequent patterns in video using partly locality sensitive hashing
AU - Ogawara, Koichi
AU - Tanabe, Yasufumi
AU - Kurazume, Ryo
AU - Hasegawa, Tsutomu
N1 - Funding Information:
This study was supported in part by Program for Improvement of Research Environment for Young Researchers from Special Coordination Funds for Promoting Science and Technology (SCF) commissioned by the MEXT of Japan, and in part by Grant-in-Aid for Young Scientists (B)(21700224).
PY - 2011
Y1 - 2011
N2 - Frequent patterns in video are useful clues to learn previously unknown events in an unsupervised way. This paper presents a novel method for detecting relatively long variable-length frequent patterns in video efficiently. The major contribution of the paper is that Partly Locality Sensitive Hashing (PLSH) is proposed as a sparse sampling method to detect frequent patterns faster than the conventional method with LSH. The proposed method was evaluated by detecting frequent everyday whole body motions in video.
AB - Frequent patterns in video are useful clues to learn previously unknown events in an unsupervised way. This paper presents a novel method for detecting relatively long variable-length frequent patterns in video efficiently. The major contribution of the paper is that Partly Locality Sensitive Hashing (PLSH) is proposed as a sparse sampling method to detect frequent patterns faster than the conventional method with LSH. The proposed method was evaluated by detecting frequent everyday whole body motions in video.
UR - http://www.scopus.com/inward/record.url?scp=80053129378&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80053129378&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-22822-3_29
DO - 10.1007/978-3-642-22822-3_29
M3 - Conference contribution
AN - SCOPUS:80053129378
SN - 9783642228216
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 287
EP - 296
BT - Computer Vision - ACCV 2010 Workshops - ACCV 2010 International Workshops, Revised Selected Papers
T2 - International Workshops on Computer Vision, ACCV 2010
Y2 - 8 November 2010 through 9 November 2010
ER -