The semantic score method for quantitative evaluation of video contents by viewers

Autor:	Mikio Kamada, Y. Takahashi, Y. Shibata, H. Kimura
Rok vydání:	2002
Předmět:	business.industry Computer science Video capture ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Score method Video processing Video quality computer.software_genre Computer vision Artificial intelligence PEVQ business computer Natural language processing
Zdroj:	Scopus-Elsevier
DOI:	10.1109/icce.2001.935344
Popis:	Aiming to automatically generate video clips based on the viewer's evaluation of movies and TV dramas, the semantic score method, a content evaluation method to obtain quantitative, multiple-viewers' evaluation score for video content, together with a method to integrate the scores by averaging their absolute values, is proposed. Their effectiveness is then demonstrated through the evaluation of movie summary clips automatically created on an algorithm using this method.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79163a2af4578cf76583e6d5f744f5f0 https://doi.org/10.1109/icce.2001.935344 Zobrazit plný text záznamu