Video object segmentation and stereo correspondence is a key technology in object-based stereo video coding.
视频目标分割与立体匹配是目标基立体视频编码中的核心技术。
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。
Video object segmentation has important application in content-based video encoding and video retrieval.
视频对象分割在基于内容的视频编码和视频检索中均有重要的应用。
Video object segmentation techniques are also important tools for content-based video coding and manipulation, and interactive multimedia application.
视频对象分割技术同时也是基于内容的视频编码、视频内容操作和交互式多媒体等应用的重要工具。
Video object segmentation is an important task in object based video coding.
在基于对象的视频编码中，视频对象的分割是重要的任务。
Proposes an algorithm to determine the true motion vectors of the feature regions for object based video coding and segmentation applications.
针对物体基视频编码与分割应用，提出了求取特征区域真实运动矢量的一种算法。
Video object segmentation techniques are also important tools for content-based video coding and manipulation, and interactive multimedia applications.
视频对象分割技术同时也是基于内容的视频编码、视频内容的操纵和交互式多媒体等应用的重要工具。
This paper proposes a motion based region growing segmentation scheme for the object based video coding which segments an image into homogeneous regions characterized by a coherent motion.
针对基于对象的视频编码应用，提出了一种基于运动的区域生长分割方案，将图像分割成具有一致运动特征的区域。
For the first step, a morphology operator-based video motion object segmentation algorithm is proposed.
为此提出了一种基于形态学算子的视频运动对象自动分割算法。
The segmentation of video is the basis of the video object extraction, processing and recognition. It is also the premise of the content-based video compression and retrieving.
视频序列分割是实现视频对象提取、处理和识别的基础，也是基于内容的视频压缩和检索的前提。
To solve the problem in segmentation and tracking the moving object in video sequence, a novel moving object segmentation and tracking approach is proposed based on spatial-temporal dispersions.
针对视频图像中单个运动对象的分割和跟踪问题，提出了一种基于时空离散度的视频对象分割跟踪算法。
A video object watermark algorithm using Scale-Invariant feature Transform (SIFT) features and video segmentation based on spatiotemporal information is proposed.
提出一种结合尺度不变特征变换(SIFT)特征点校正和时空域视频对象分割的视频对象水印算法。
Object-based video coding mostly includes video object segmentation and video object coding.
基于对象的视频编码主要包括视频对象的分割和视频对象的编码两部分。
Automatic segmentation of moving objects in video sequences is a significant technology for implementing emerging object-based video coding standard MPEG-4.
视频运动对象的自动分割是实现新一代对象基视频编码标准MPEG - 4的重要技术，本文提出了一种基于帧内图像分区的运动对象自动分割算法。
The new video coding standard MPEG-4 is enabling content-based function. It needs for the segmentation of semantically meaningful moving object in video sequences.
随着新的视频压缩标准MPEG - 4的出现，如何从视频序列中分割出在语义上有意义的单独运动对象显得极其重要。
The new video coding standard MPEG-4 is enabling content-based function. It needs for the segmentation of semantically meaningful moving object in video sequences.
随着新的视频压缩标准MPEG - 4的出现，如何从视频序列中分割出在语义上有意义的单独运动对象显得极其重要。
应用推荐