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一种用于视频检索与摘要的视频分析框架

A Videography Analysis Framework for Video Retrieval and Summarization
课程网址: http://videolectures.net/bmvc2012_fu_video_retrieval/  
主讲教师: Yun Fu
开课单位: 美国东北大学
开课时间: 2012-10-09
课程语种: 英语
中文简介:
在这项工作中,我们重点发展的特点和方法,以表示和分析视频风格的无限制视频。所谓无约束视频,是指内容复杂程度高、编辑工件多样、持续时间长的典型消费视频。我们的方法构造了一个视频字典,它被用来表示每个视频剪辑作为一系列不同的视频文字。除了摄像机运动和前景物体运动等传统特征外,还引入了运动相关和尺度信息这两个新的特征来表征视频。然后,利用统计分析方法,对不同事件的视频特征进行自动识别。在实际应用中,我们探讨了视频分析在基于内容的视频检索和视频摘要中的应用。我们比较了我们的方法与其他方法在一个大的无约束视频数据集,并证明了我们的方法有利于视频分析。
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: 视频图像; 视频检索; 视频摘要; 视频分析
课程来源: 视频讲座网
最后编审: 2020-10-22:chenxin
阅读次数: 103