| 书目名称 | Intelligent Video Event Analysis and Understanding | | 编辑 | Jianguo Zhang,Ling Shao,Graeme A. Jones | | 视频video | | | 概述 | Recent research in intelligent video event analysis.Edited Outcome of the 1st International Workshop on Video Event Categorization, Tagging and Retrieval" (VECTaR2009) held in Xi‘an, China, September | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | With the vast development of Internet capacity and speed, as well as wide adop- tion of media technologies in people’s daily life, a large amount of videos have been surging, and need to be efficiently processed or organized based on interest. The human visual perception system could, without difficulty, interpret and r- ognize thousands of events in videos, despite high level of video object clutters, different types of scene context, variability of motion scales, appearance changes, occlusions and object interactions. For a computer vision system, it has been be very challenging to achieve automatic video event understanding for decades. Broadly speaking, those challenges include robust detection of events under - tion clutters, event interpretation under complex scenes, multi-level semantic event inference, putting events in context and multiple cameras, event inference from object interactions, etc. In recent years, steady progress has been made towards better models for video event categorisation and recognition, e. g. , from modelling events with bag of spatial temporal features to discovering event context, from detecting events using a single camera to inferring events thro | | 出版日期 | Book 2010 | | 关键词 | Computational Intelligence; cognition; computer vision; detection; human-computer interaction (HCI); inte | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-17554-1 | | isbn_softcover | 978-3-662-50585-4 | | isbn_ebook | 978-3-642-17554-1Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer-Verlag Berlin Heidelberg 2010 |
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发表于 2025-3-21 18:00:59
