Video Genre Classification Using Weighted Kernel Logistic Regression

Due to the widening semantic gap of videos, computational tools to classify these videos into different genre are highly needed to narrow it. Classifying videos accurately demands good representation of video data and an efficient and effective model to carry out the classification task. Kernel Logi...

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Bibliographic Details
Main Authors: Ahmed A. M. Hamed, Renfa Li, Zhang Xiaoming, Cheng Xu
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2013/653687