文献类型：会议论文

英文题名：An Empirical Study of the Textual Content of Online Videos

作者：Chen, Yixin[1]; Wang, Wen[1]; He, Wenbo[1]; Li, Xiaofeng[2]

第一作者：Chen, Yixin

通讯作者：Chen, Yixin

机构：[1] School of Computer Science, McGill University, 845 Rue Sherbrooke O, Montreal, QC, H3A 0G4, Canada; [2] Information College, Beijing Union University, No. 97 Beisihuan Road, Chaoyang District, Beijing, China

第一机构：School of Computer Science, McGill University, 845 Rue Sherbrooke O, Montreal, QC, H3A 0G4, Canada

语种：英文

外文关键词：Data mining - Video recording - Multimedia systems

摘要：Fuelled by the advancement in multimedia technologies, users across the world have witnessed the proliferation of online videos. Compared with the visual content of these videos, the textual content, for example, titles, tags, or descriptions, has been more broadly exploited in the real-world video data mining or information retrieval tasks. To enhance the understanding of videos, and improve the performance of the tasks such as automatic video annotation, video clustering, and cross-modal tag cleansing, the textual and visual content of videos are combined, through various methods. However, the absence of an empirical study on the properties of these contents makes them less solid to gain satisfactory performance. Therefore, in this paper, we conduct this study to verify the properties of textual content and draw insights from these analyses to promote further developments in video data mining that combine the two contents. ? 2016 World Scientific Publishing Company.