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In the experiment,error mean is 11.375% and standard variance is 0.94%,which shows it is an efficient algorithm to segment the semantic video object. 实验表明;本分割算法具有较高的准确性;误差的均值为11.;375%25;标准方差为0
An Improved Semantic Video Object Segmentation Algorithm for MPEG Video Data 在MPEG视频上的语义视频对象分割改进算法
Semantic video object 语义视频对象
semantic video object(SVO) 语义视频对象
The Research and Implementation of Semantic Video Objects by User Interaction and Automatic Objects Tracking 交互式分割视频运动对象的研究与实现
Then we realize anchorperson shot detection and video news indexing based on semantic faces, which shows video object's important usage in analysis of video semantic contents. 然后基于语义人脸实现了主持人镜头检测和视频新闻结构化算法，体现了视频对象正视频内容分析中的基础作用。
Meanwhile, speaker information can also be used in semantic video segmentation, high-level video features extraction, anchorperson detection and etc. 与此同时，说话人的信息还可以用于检测视频的语义切换、提取独白等和说话人有关的高层语义特征、新闻视频中的主持人查找等不同的视频处理任务。
It decomposes sequences into video object planes (VOPs) so that each VOP represents one moving object. 它把图像序列分解成视频对象平面(VOP),每个VOP代表一个运动对象。
The management of active video object by software is a difficult subject in multimedia technology. 用纯软件实现动态视频对象的管理是多媒体技术中的一个难点。
This paper proposed a method of video object segmentation based on fuzzy clustering. 摘要提出了一种基于模糊聚类的视频对象分割方法。
Experimental results show that the proposed method performs excellently for video object segmentation and preferable the method in spatial accuracy. 实验结果表明，该算法能够较为准确地分割出视频对象，并且在空间准确度上占优。
Experimental results show that the proposed algorithm can segment and track video object pair in image sequence of stereo videoconferencing efficiently. 实验结果说明文中算法能够应用于立体视频会议图像序列的立体对象分割与跟踪。
The identifying and examining to video object is a former problem,the identifying and examining of wood cell is a desiderate problem in the wood industry. 视频对象的识别与检测是计算机图像处理领域中的一个前沿课题,木材材种细胞识别的计算机视频识别与检测是木材工业亟待解决的问题。
This paper introduces video segmentation of temporal segmentation and spatial segmentation,presents a video object segmentation algorithm based on multi-frames difference. 文章介绍了基于内容的时域及空域视频分割技术,提出了一种基于多帧差异的视频对象分割算法。
Afterward, employ the improved FCM clustering method to segment the motion area and get the video object mask by processing the prior result with morphological method. 再利用改进的FCM聚类算法对二次帧差图像中的视频对象运动区域进行空域分割，对空域分割结果进行形态学处理，得到视频对象掩模；
Two Level Multimodal Fusion Algorithm for Semantic Video Analysis 视频语义分析两级多模式融合算法
Semantic Video Summarization Based on Support Vector Machine 基于支持向量机的语义视频摘要
On the fuzzy recognition of the video object based on K-FIS, this paper mainly discusses the basic theory of the fuzzy recognition of the video object based on K-FIS include the system, fuzzy set, and fuzzy recognition method. 在图像目标识别特征多层模型与神经网络群识别技术中;建立了图像目标的K元特征图像序列识别特征多层模型;然后提出一种基于特征图像视觉识别特征分层模型的视频目标神经网络群识别技术;该技术基于目标可视层目标特征空间;将大的BP网络系统按目标的可视特性分为若干子BP网络;各子网的输出经神经网络融合后输出识别结果.
This paper brings out a video content hierarchical description model based on video objects. 本文提出了一种基于视频对象的视频内容分级描述模型。
Abstract： A key technique in MPEG-4 is extracting video objects from video sequences. 摘要：从视频序列中提取视频目标是MPEG-4中的关键技术之一。