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1.
Study on the Segmentation of Video Object Plane and Extraction of Video Object;
视频对象平面分割和视频对象提取方法的研究
2.
Research on Object Extraction and Tracking Based on MPEG-4 Video Objects
基于MPEG-4视频对象提取和跟踪研究
3.
Researches on Technologies of Content-Based Multi-Hierarchy Semantic Video Object Description Extraction;
基于内容的多层次语义视频对象提取技术研究
4.
Object Tracking and Extraction Algorithm Using Color Interest Point;
基于颜色特征点的视频对象提取跟踪法
5.
Research on video stream object tracking using differential picture and point of interest
基于帧差特征点的视频对象提取跟踪的研究
6.
Based on regional growth and the global motion estimation in video object extraction
基于区域生长和全局运动估计的视频对象提取
7.
Stereo video segmentation algorithm and coding based on disparity map and multi-frame difference
基于视差和帧差运动检测的立体视频对象提取与压缩编码
8.
Semantic Video Object Segmentation and Its Performance Evaluation for Content-based Multimedia Applications;
基于内容多媒体应用的语义视频对象提取及评价
9.
Video Object Extraction and Its DSP Realization Based on High-Order Statistic Characteristics of Multi Frame Difference;
基于多帧差高阶统计特征的视频对象提取与DSP实现技术
10.
Research of Video Object Extraction and Tracking Approach;
视频运动对象提取和跟踪方法的研究
11.
Adaptive Algorithm of Video Object Segmentation under Moving and Static Background;
基于动静背景下的视频对象自适应提取算法
12.
Researches on Technologies of Multi-Hierarchy Semantic Video Object Description Model and Extraction;
多层次语义视频对象描述模型及提取技术研究
13.
Research and Implementation of the Methods on Key Frame Extraction and Moving Object Extraction
视频关键帧及运动对象提取方法研究与实现
14.
Object-based Method of important video clips Extraction
基于对象的视频重要片断提取方法研究
15.
Based on the rules of speediness and exactness,the method of moving object extraction is proposed only with temporal information.
本文在快速准确的原则上,仅利用视频序列中的时域信息,提出了一种运动对象的提取方法。
16.
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。
17.
Semantic Video Object Based BACnet Visual Surveillance;
基于语义视频对象的BACnet视觉监视
18.
A video object segmentation algorithm based on hypothesis testing and region merging is presented.
提出了基于假设检验和区域合并的视频对象分割算法。