| 書目名稱 | Multimodal Learning toward Micro-Video Understanding | | 編輯 | Liqiang Nie,Meng Liu,Xuemeng Song | | 視頻video | http://file.papertrans.cn/641/640743/640743.mp4 | | 叢書名稱 | Synthesis Lectures on Image, Video, and Multimedia Processing | | 圖書封面 |  | | 描述 | Micro-videos, a new form of user-generated contents, have been spreading widely across various social platforms, such as Vine, Kuaishou, and Tik Tok. Different from traditional long videos, micro-videos are usually recorded by smart mobile devices at any place within a few seconds. Due to its brevity and low bandwidth cost, micro-videos are gaining increasing user enthusiasm.The blossoming of micro-videos opens the door to the possibility of many promising applications, ranging from network content caching to online advertising. Thus, it is highly desirable to develop an effective scheme for the high-order micro-video understanding.Micro-video understanding is, however, non-trivial due to the following challenges:(1) how to represent micro-videos that only convey one or few high-level themes or concepts; (2) how to utilize the hierarchical structure of the venue categories to guide the micro-video analysis; (3) how to alleviate the influence of low-quality caused by complex surrounding environments and the camera shake; (4) how to model the multimodal sequential data, {i.e.}, textual, acoustic, visual, and social modalities, to enhance the micro-video understanding; and (5) how to | | 出版日期 | Book 2019 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-02255-5 | | isbn_softcover | 978-3-031-01127-6 | | isbn_ebook | 978-3-031-02255-5Series ISSN 1559-8136 Series E-ISSN 1559-8144 | | issn_series | 1559-8136 | | copyright | Springer Nature Switzerland AG 2019 |
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