Combining the language model and inference network approaches to retrieval
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
Finding advertising keywords on web pages
Proceedings of the 15th international conference on World Wide Web
Finding advertising keywords on video scripts
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Videoader: a video advertising system based on intelligent analysis of visual content
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
Scripts as source of information to contextual video advertising
Proceedings of the 18th Brazilian symposium on Multimedia and the web
Advertisement selection for online videos
Proceedings of the 18th Brazilian symposium on Multimedia and the web
Advertising object in web videos
Neurocomputing
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With the rise of digital video consumptions, contextual video advertising demands have been increasing in recent years. This paper presents a novel video advertising system that selects relevant text ads for a given video scene by automatically identifying the situation of the scene. The situation information of video scenes is inferred from available video scripts. Experimental results show that the use of the situation information enhances the accuracy of ad retrieval for video scenes. The proposed system represents one of the pioneer video advertising systems using contextual information obtained from video scripts.