Open AccessText Semantics Based Automatic Summarization for Chinese Videos
Author(s) -
Wang Xingqi,
Zha Taotao,
Wu Chunming,
Fang Jinglong,
Jiang Ming
Publication year - 2015
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2015.07.004
Subject(s) - computer science , automatic summarization , singular value decomposition , categorization , artificial intelligence , semantics (computer science) , task (project management) , matching (statistics) , cluster analysis , information retrieval , natural language processing , pattern recognition (psychology) , statistics , mathematics , management , economics , programming language
This paper is concerned with the task of automatically summarizing videos, which is important for many video‐related applications. Examples include video retrieval, accessing and categorization, et al. Our approach summarizes video semantically from the texts embeddedin videos. To improve the accuracy, ant colony algorithm, maximum matching method, Singular value decomposition (SVD) are employed for locating text region, segmenting words and clustering sentences, respectively. Based on these methods, a prototype is developed. In an experimental evaluation on the real world video datasets, we show that our proposed approach could provide accurate, satisfactory performance.