@inproceedings{1fe14b910dfb418499adfc80da01749e,
title = "Technicolor challenge: An event classification framework by probabilistic context modeling of multimodal features",
abstract = "Semantic high-level event recognition of videos is one of most interesting issues for multimedia searching and indexing. Since high-level events are usually domain-specific, a generic framework which can adapt itself to new domains without or with a few modifications is needed. To this end, this paper presents a generic framework for video event classification using temporal context of interval-based multimodal features. In the framework, a co-occurrence symbol transformation method is proposed to explore full temporal relations among multiple modalities in probabilistic HMM event classification. The results of our experiments on baseball video event classification demonstrate the superiority of the proposed approach.",
keywords = "co-occurrence symbol, event classification, HMM, interval-based representation, multimodal feature, multivariate temporal data classification, probabilistic modeling, semantics, temporal relation",
author = "Chen, {Hsuan Sheng} and Tsai, {W. J.}",
year = "2012",
month = dec,
day = "26",
doi = "10.1145/2393347.2396481",
language = "English",
isbn = "9781450310895",
series = "MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia",
pages = "1353--1354",
booktitle = "MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia",
note = "20th ACM International Conference on Multimedia, MM 2012 ; Conference date: 29-10-2012 Through 02-11-2012",
}