算法可方便地并入到MPEG- 4基于对象的编码框架中。
The algorithm can be easily incorporated into the MPEG-4 object-based coding framework.
相比与第一压缩标准，MPEG - 4最显著的特点之一就是提出了基于对象的编码方式。
Compared with the first generation standard, a significant character of MPEG-4 is object-based coding which means to code videos as a set of semantic video objects.
MPEG - 4是现在最重要最有影响的多媒体数据压缩编码国际标准之一，基于对象的编码思想使其具有高压缩比、可扩展性、可交互性等许多优点。
Among them, MPEG-4 plays an important role in the multimedia field. Due to its object-based idea, it has the virtue of high compression ratio, scalability, interactivity with users and so on.
MPEG - 4标准是现在最重要最有影响力的多媒体数据压缩编码国际标准之一，基于对象的编码思想使其具有高压缩比、可扩展性、可交互性等许多优点。
MPEG-4 is one of the most influence multimedia data coding standard. The video object method makes it have higher compression ratio, flexible, interactive characteristic.
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 techniques are also important tools for content-based video coding and manipulation, and interactive multimedia application.
为此提出了一种基于对象的精细可伸缩性编码方法，该方法将对象编码与位平面编码相结合。
This paper presents a new Fine Granular Scalable coding based on the image object, which incorporate the image object coding with the Bit plane coding.
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。
Video object segmentation techniques are also important tools for content-based video coding and manipulation, and interactive multimedia applications.
从视频序列中分割出视频对象是实现基于内容压缩编码方法的关键。
Video objects segmentation from video sequence is the key of implementing content-based compression coding method.
本文对基于对象的小波域视频细粒度可分级编码中的两个关键问题，即视频对象编码和运动估计技术进行了深入研究。
This paper makes a deep insight into two problems of object-based fine granular scalable video coding in the wavelet domain, namely video object coding and motion estimation techniques.
本文的主要研究对象是基于DSP的H。 263视频编码器的软件实现方法和DSP系统的开发技术。
The main research objects of our paper are software implement method of H. 263 video CODEC and development technology of DSP system.
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。
Automatic segmentation of moving objects in video sequences is a significant technology for implementing emerging object-based video coding standard MPEG-4.
文章介绍了MPEG-4视频标准，详细地描述了其中基于对象编码的概念，并简明扼要地讨论了某些重要的实用算法与结构。
The paper introduces MPEG - 4 video standard, describes some basic concepts in detail, and discusses come important structure and some practical algorithms.
近几年来，视频编码的研究集中在两个方面，一是低比特率编码，二是基于对象的视频编码。
The research of video coding is mainly focused on two aspects in recent years, one is the very low-bit rate coding, the other is the video coding based on objects.
本论文是研究的对象是以低码率视频编码技术(基于H . 263)为目标的视频编码标准，目的是为了能大大提高视频质量。
The purpose of this thesis is to study about the video-coding standard targeted for low-bit-rate video coding technique (H. 263) that improves video quality considerably.
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。
Object-based video coding mostly includes video object segmentation and video object coding.
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。
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.
在MPEG -4视频编码标准中，为了实现基于视频内容的交互功能，其视频序列的每一帧由视频对象面(VOP)来表示。
In order to support content based functions in the visual standard of MPEG 4, each frame of video sequences should be represented in terms of video object planes (VOP's).
最后应用不平衡量化器实现基于感兴趣对象的视频编码。
Finally, it ADAPTS the distorted quantizer to realize the interest-based video coding.
我想更改对象的可见性基于报告查询获取的重新编码的数量。
I wanted to change visibility of a object on the basis of number of recods which Report Query gets.
最后采用不平衡量化技术实现基于感兴趣对象的视频编码，实现了视频监控系统的多目标比特率网络应用。
Finally, it ADAPTS the distorted quantizing technology to realize the interest-based video coding, and realized the multi-band network application of video monitoring system.
最后采用不平衡量化技术实现基于感兴趣对象的视频编码，实现了视频监控系统的多目标比特率网络应用。
Finally, it ADAPTS the distorted quantizing technology to realize the interest-based video coding, and realized the multi-band network application of video monitoring system.
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