Low-Level Video Features as Predictors of Consumer Engagement in Multimedia Advertisement

The article addresses modelling of consumer engagement in video advertising based on automatically derived low-level video features. The focus is on a young consumer group (18–24 years old) that uses ad-supported online streaming more than any other group. The reference ground truth for consumer eng...

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書誌詳細

出版年:	Applied Sciences
主要な著者:	Evin Aslan Oğuz, Andrej Košir, Gregor Strle, Urban Burnik
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2023-02-01
主題:	multimedia signal processing low-level video features consumer engagement automatic estimation advertising exposure
オンライン･アクセス:	https://www.mdpi.com/2076-3417/13/4/2426