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- Research on Content- Based Video Retrieval 基于内容的视频检索研究
- As the base of video query, news video retrieval is divided into structurized analysis and semantic exaction of video information. 新闻视频索引是视频查询的基础，包含新闻视频信息的结构化分析和语义提取，其中结构化分析包括新闻条目分段、镜头分段和关键帧提取；
- content based video retrieval 基于内容的视频检索
- content - based video retrieval 基于内容的视频检索
- Contend-based video retrieval(CBVR)is an active research domain in muhimedia application.Most retrieval techniques on CBVR are low-lever feature based. 视频内容检索是多媒体应用的一个活跃研究方向,现有的内容检索技术大多是基于低层次特征的。
- Video retrieval aim is to find the needed video slip from a mass of videodata. 视频检索的目的就是要从大量的视频数据中找到所需要的视频片断。
- video retrieval using high-level semantic 基于高层语义的视频检索
- UML 2.0 Replaced the state machine underpinning with a much more general semantic base that eliminated all of these restrictions. UML 2.;0中用一个消除了这些限制的更泛化的语义基础替代了状态机的底层。
- At last, it improves the IPTV system, and adds the content-based video retrieval system. 最后,对已有的IPTV系统进行改进,增加基于内容的视频检索系统,实现检索系统部分功能。
- A scheme of DirectX based video capture and show and an implement scheme of video network adaptive transport are introduced. 26X 、MPEG-4 的基础上,对视频采集回放技术和网络传输控制技术进行了深入的研究,提出了一种基于DirectX 技术的视频采集显示处理方案和基于RTP/RTCP 的视频网络自适应传输的实现方案。
- This method synthesizes the sentence semantic based on semantic, context, and word.By using iteration algorithm to describe contribution of each sentence, a better experiment results can be obtained. 该方法从义面、义原、义境三个侧面来综合描述句子的语义，并通过迭代求解各方的权重，从而使计算结果达到最优。
- Key frame can decrease data quantity in video indexing and provide a framework for video retrieval and indexing . 而关键帧的使用可以大大减少视频索引的数据量,同时也为查询和检索视频提供了一个组织框架。
- The description proposed in this paper can be used in various applications such as video retrieval and video annotation. 本文对视频内容信息的描述可以用于视频检索、视频注释等应用。
- And reality characterizes the semantic basis of hyperbole, which involvers the conditions and degree of hyperbole. 而真实性是夸张语义基础的主要内容,它涉及到夸张的条件和夸张的度。
- The essential steps for content based video indexing are video segmentation, key frame selection, static and dynamic feature extraction and video clustering. 基于内容的视频索引中的主要步骤有视频分割、关键帧的选择、静态特征与动态特征的提取以及视频聚类等。
- "Guanyu" as a topic marker bases on its semantic basis and is restricted by its syntactic condition. 摘要“关于”标记话题有语义基础，同时还要满足句法条件。
- TREC Video Retrieval Evaluation (TRECVID) sets video semantics extraction as a subtask every year and evaluation results show the progress. 国际影视检索评测（TRECVID）每年都会将视频中语义特征的提取作为一个单独的子任务，评测结果也表明，这方面的研究也取得了一定的进展。
- AVS Video Converter is an expanded realization of video converter tool with capabilities of video capturing, Video DVD, SVCD and VCD burning and timeline based video file editing. AVS的视频转换器是一个扩大了实现视频转换工具的能力，视频采集，视频DVD ， svcd和VCD的燃烧和时间为基础的视频文件编辑。
- This paper analyzes the characteristic and advantage of digital video and describes the imminency and importance of content-based video retrieval. 摘要分析了数字视频的特点和优势，阐述了基于内容的视频检索的迫切性和重要性。
- With this approach,it provides not only a precise semantic basis for UML models but also a sound mechanism for reasoning about UML models. 该方法不但为UML提供了精确的形式化语义基础,而且,提供了一种UML模型推理的合理的机制。
