This paper proposes a key frame extraction algorithm based on Rough Set(RS) in compressed domain.
提出一种基于粗糙集(RS)的压缩域关键帧提取算法。
参考来源 - 基于粗糙集的压缩域关键帧提取算法In this paper,we propose a novel video key-frame extraction method based on visual attention model.
关键帧提取是基于内容视频检索领域中一个重要的研究课题。
参考来源 - 基于视觉注意模型的自适应视频关键帧提取This paper is mostly aiming at the technology of key frames extraction and makes deep research into these aspects.
本文主要针对基于内容的视频检索系统中关键帧提取技术展开研究。
参考来源 - 基于内容的视频检索系统中关键帧提取方法的研究与实现In the fourth chapter, we present a layered curve simplification based keyframe extraction method from MoCap data.
在第四章中,介绍了基于分层曲线简化算法的运动捕获数据关键帧提取技术。
参考来源 - 运动捕获数据关键帧提取及检索研究The major contributions of the dissertation are summarized as follows:1. Two content analysis methods based on motion characteristics are proposed, i. e. , a new multi-metric scene cut detection method and a key frame extraction method based on acceleration.
论文的主要研究成果有:1.提出了适用于视频编码的视频场景分析方法,包括一种实时多测度突变场景检测算法和一种基于运动加速度的关键帧提取算法。
参考来源 - 结合应用层抗误码工具的无线视频传输技术研究Content-based video retrieval technology aims at making summary, browse and retrieval of the digital video by using shot boundary detection, key-frame extraction, feature extraction, feature matching and other methods, in order to manage the video information effectively.
基于内容的视频检索技术通过镜头边界检测、关键帧提取、特征提取、特征匹配等方法对数字视频作出摘要、浏览和检索,实现对海量视频信息的有效管理。
参考来源 - 基于H.264/AVC压缩域的视频镜头边界检测方法研究Content based video retrieval(CBVR) searches object through shot detection,key-frame selection, character abstraction and retrieval techniques.
基于内容的视频检索技术指通过镜头分割,关键帧提取,特征提取,目标检索等步骤,获得特定的检索目标。
参考来源 - 基于H.264压缩域的视频镜头切换检测和关键帧提取算法研究·2,447,543篇论文数据,部分数据来源于NoteExpress
最后,对关键帧提取和镜头聚类等方面做了一定的探讨。
Finally, we do some discussion in key frame extraction and shot cluster.
视频场景切分和关键帧提取是视频摘要技术的两个关键内容。
The video scene cutting and the key frame abstraction are the two key technologies in the video abstraction.
同时介绍了传统的关键帧提取方法以及在本系统中采用的方法。
Meanwhile we introduce the traditional key-frame extraction methods and the methods used in this system.
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