ERP/MMR Algorithm for Classifying Topic-Relevant and Topic-Irrelevant Visual Shots of Documentary Videos

Volume: 70, Issue: 9, Pages: 931 - 941
Published: Dec 23, 2018
Abstract
We propose and evaluate a video summarization method based on a topic relevance model, a maximal marginal relevance (MMR), and discriminant analysis to generate a semantically meaningful video skim. The topic relevance model uses event-related potential (ERP) components to describe the process of topic relevance judgment. More specifically, the topic relevance model indicates that N400 and P600, which have been successfully applied to the...
Paper Details
Title
ERP/MMR Algorithm for Classifying Topic-Relevant and Topic-Irrelevant Visual Shots of Documentary Videos
Published Date
Dec 23, 2018
Volume
70
Issue
9
Pages
931 - 941
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