Enhanced movie content similarity based on textual, auditory and visual information
作者: Konstantinos BougiatiotisTheodoros Giannakopoulos
作者单位: 1Institute of Informatics and Telecommunications, National Center for Scientific Research “Demokritos”, Athens 153 41, Greece
刊名: Expert Systems With Applications, 2018, Vol.96 , pp.86-102
来源数据库: Elsevier Journal
DOI: 10.1016/j.eswa.2017.11.050
关键词: Content-based movie recommendationTopic modelingMovie audio-Visual analysisMultimodal fusionInformation retrieval
原始语种摘要: Abstract(#br)In this paper, we examine the ability of low-level multimodal features to extract movie similarity, in the context of a content-based movie recommendation approach. In particular, we demonstrate the extraction of multimodal representation models of movies, based on textual information from subtitles, as well as cues from the audio and visual channels. With regards to the textual domain, we emphasize our research in topic modeling of movies based on their subtitles, in order to extract topics that discriminate between movies. Regarding the visual domain, we focus on the extraction of semantically useful features that model camera movements, colors and faces, while for the audio domain we adopt simple classification aggregates based on pretrained models. The three domains are...
全文获取路径: Elsevier  (合作)
影响因子:1.854 (2012)

  • visual 可见
  • movie 影片
  • similarity 相似性
  • content 品位
  • information 报告
  • recommendation 建议
  • multimodal 多峰
  • features 特征
  • demonstrate 说明
  • retrieval 检索