@inproceedings{65c6e1478d304152987df28d1c997b78,
title = "Variable markov oracle: A novel sequential data points clustering algorithm with application to 3d gesture query-matching",
abstract = "In this paper a new method, Variable Markov Oracle, for clustering time series data points is proposed. Variable Markov Oracle is based on previous results of Audio Oracle, a method of fast indexing repeating sub-clips in an audio stream. The proposed method is capable of discovering natural clusters with temporal relations without specifying the number of clusters. The discovery of inherent clusters in time series data points allows the devising of an efficient algorithm for time series query-matching. The ability of discovering clusters is demonstrated with a synthetic audio example, and an application of querying 3D skeletal gesture using the query-matching algorithm based on the proposed method is experimented with comparable result to state of the art.",
keywords = "Clustering methods, Content-based retrieval, Gesture recognition, Multimedia Computing, Search methods",
author = "Wang, {Cheng I.} and Shlomo Dubnov",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 16th IEEE International Symposium on Multimedia, ISM 2014 ; Conference date: 10-12-2014 Through 12-12-2014",
year = "2015",
month = feb,
day = "5",
doi = "10.1109/ISM.2014.39",
language = "English",
series = "Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "215--222",
booktitle = "Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014",
address = "United States",
}