High Scale Fuzzy Video Mining

Christophe Marsala 1 Marcin Detyniecki 1
1 MALIRE - Machine Learning and Information Retrieval
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : In this chapter, the authors focus on the use of forests of fuzzy decision trees (FFDT) in a video mining application. They discuss how to learn from a high scale video data sets and how to use the trained FFDTs to detect concepts in a high number of video shots. Moreover, the authors study the effect of the size of the forest on the performance; and of the use of fuzzy logic during the classification process. The experiments are performed on a well-know non-video dataset and on a real TV quality video benchmark.
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Submitted on : Tuesday, March 22, 2016 - 11:20:51 AM
Last modification on : Thursday, March 21, 2019 - 1:04:50 PM

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Christophe Marsala, Marcin Detyniecki. High Scale Fuzzy Video Mining. Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design, IGI Global, pp.365-378, 2010, 9781605668581. ⟨10.4018/978-1-60566-858-1.ch015⟩. ⟨hal-01291862⟩

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