图 书 馆
一种用于视频检索和摘要的视频图像分析框架A Videography Analysis Framework for Video Retrieval and Summarization |
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| 课程网址: | http://videolectures.net/bmvc2012_fu_video_retrieval/ |
| 主讲教师: | Yun Fu |
| 开课单位: | 东北大学 |
| 开课时间: | 2012-10-09 |
| 课程语种: | 英语 |
| 中文简介: |  在这项工作中，我们专注于开发功能和方法来表示和分析不受约束的视频中的摄像风格。对于不受限制的视频，我们指的是典型的消费者视频，其内容复杂性很高，并且编辑工件多变，且持续时间长。我们的方法构建了一个录像词典，该词典用于将每个视频剪辑表示为一系列不同的录像字。除了诸如照相机运动和前景物体运动之类的常规特征之外，还引入了两个新颖的特征，包括运动相关性和比例信息来表征摄影。然后，我们显示可以使用统计分析方法自动识别来自不同事件的独特的摄像签名。对于实际应用，我们探讨了使用摄像分析来进行基于内容的视频检索和视频摘要。我们在大型无限制视频数据集上将我们的方法与其他方法进行了比较，并证明了我们的方法有益于视频分析。 |
| 课程简介: | In this work, we focus on developing features and approaches to represent and analyze videography styles in unconstrained videos. By unconstrained videos, we mean typical consumer videos with significant content complexity and diverse editing artifacts, mostly with long duration. Our approach constructs a videography dictionary, which is used to represent each video clip as a series of varying videography words. In addition to conventional features such as camera motion and foreground object motion, two novel features including motion correlation and scale information are introduced to characterize videography. Then, we show that unique videography signatures from different events can be automatically identified, using statistical analysis methods. For practical applications, we explore the use of videography analysis for content-based video retrieval and video summarization. We compare our approaches with other methods on a large unconstrained video dataset, and demonstrate that our approach benefits video analysis. |
| 关 键 词: | 视频检索; 摄像分析 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-04-07：zyk |
| 最后编审: | 2021-04-07：zyk |
| 阅读次数: | 47 |