| 書(shū)目名稱 | Video Mining | | 編輯 | Azriel Rosenfeld,David Doermann,Daniel DeMenthon | | 視頻video | http://file.papertrans.cn/983/982920/982920.mp4 | | 叢書(shū)名稱 | The International Series in Video Computing | | 圖書(shū)封面 |  | | 描述 | Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, computer vision has gradually been making the transition away from understanding single images to analyzing image sequences, or video Video understanding deals with understanding of video understanding. sequences, e.g., recognition of gestures, activities, facial expressions, etc. The main shift in the classic paradigm has been from the recognition of static objects in the scene to motion-based recognition of actions and events. Video understanding has overlapping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvi- ous overlap with computer vision. The main goal of computer graphics is to generate and animate realistic looking images, and videos. Re- searchers i | | 出版日期 | Book 2003 | | 關(guān)鍵詞 | Audio; Frames; information; multimedia; optical character recognition (OCR); production; video; video minin | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4757-6928-9 | | isbn_softcover | 978-1-4419-5383-4 | | isbn_ebook | 978-1-4757-6928-9Series ISSN 1571-5205 | | issn_series | 1571-5205 | | copyright | Springer Science+Business Media New York 2003 |
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