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ARF @ MediaEval 2012: Multimodal Video Classification

By Bogdan Ionescu, Peter Knees, Horia Cucu, Andi Buzo, Klaus Seyerlehner, Markus Schedl and Patrick Lambert

Abstract

In this paper we study the integration of various audio, visual and text-based descriptors for automatic video genre classification. Experimental validation is conducted on 26 video genres specific to web media platforms (e.g. blip.tv). Categories and Subject Descriptors H.3.1 [Information Search and Retrieval]: video genre

Topics: General Terms Algorithms, Measurement, Performance, Experimentation Keywords Multimodal
Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.365.7245
Provided by: CiteSeerX
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