TY - GEN
T1 - Time series quanslet
T2 - 5th International Conference on Contemporary Computing, IC3 2012
AU - Mishra, Tusar Kanti
AU - Pujari, Arun K.
PY - 2012
Y1 - 2012
N2 - successful indexing/categorization of images greatly enhance the performance of content based retrieval systems by filtering out irrelevant classes. This rather difficult problem has not been adequately addressed in current image database systems. In this paper we have introduced a novel feature for classification of image data by taking the one dimensional representation of it (time series) as our input data. Here we have chosen local shape feature instead of global shape feature for the said purpose which enhances its consistency in case of distorted and mutilated shapes.
AB - successful indexing/categorization of images greatly enhance the performance of content based retrieval systems by filtering out irrelevant classes. This rather difficult problem has not been adequately addressed in current image database systems. In this paper we have introduced a novel feature for classification of image data by taking the one dimensional representation of it (time series) as our input data. Here we have chosen local shape feature instead of global shape feature for the said purpose which enhances its consistency in case of distorted and mutilated shapes.
UR - https://www.scopus.com/pages/publications/84868288103
UR - https://www.scopus.com/pages/publications/84868288103#tab=citedBy
U2 - 10.1007/978-3-642-32129-0_12
DO - 10.1007/978-3-642-32129-0_12
M3 - Conference contribution
AN - SCOPUS:84868288103
SN - 9783642321283
T3 - Communications in Computer and Information Science
SP - 64
EP - 72
BT - Contemporary Computing - 5th International Conference, IC3 2012, Proceedings
Y2 - 6 August 2012 through 8 August 2012
ER -