An efficient method of content-targeted online video advertising

作者：Wang, Guanyao; Zhuo, Li^*; Li, Jiafeng; Ren, Dongyue; Zhang, Jing

来源：Journal of Visual Communication and Image Representation, 2018, 50: 40-48.

DOI：10.1016/j.jvcir.2017.11.001

• Advertising insertion
• Content-targeted
• Key frame extraction
• Scene boundary detection
• Similarity measurement

With the rapid development of Internet, the views of the online video have increased dramatically. Meanwhile, the corresponding online video advertising market showed a momentum of rapid and sustained development. In order to attract more potential purchasers and reduce the interference on the ordinary video browsers, many researchers and enterprises have conducted the research of video online advertising. At present, the insertion methods of most video advertising are always position-fixed, mandatory timing, quantitative, and the relevance of advertisement content and the video content is usually ignored. These methods will inevitably reduce the advertising effect because of browsers' dissatisfaction and resistance. In order to overcome the shortages of the existing methods of video advertisement insertion, this paper proposed an effective content-targeted method for online video advertising. The insertion of advertisement is determined by comparing the content of the videos and the advertisements. At the same time, the characteristics of the scene switching in the video are taken into account to select the appropriate position of the advertisement insertion. Experimental results show that our method can provide a better user experience than existing methods, and its attractiveness and comfortableness is greatly improved.

• 出版日期2018-1
• 单位北京工业大学