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- content based video retrieval 基于内容的视频检索
- 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。
- Research on Content- Based Video Retrieval 基于内容的视频检索研究
- content - based video retrieval 基于内容的视频检索
- Content based image retrieval (CBIR) is just one of key technologies for such a problem. 基于内容的图象检索(Content Based Image Retrieval, CBIR)技术就是解决这一问题的关键技术之一。
- One related key issue in Content Based Image Retrieval (CBIR) is the representation of image visual content. 在基于内容的图像检索中,一个关键的问题是图像视觉内容的表述。
- 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。
- 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;
- Experiment shows that the proposed VK-LLE method can achieve higher precision rate in content based image retrieval problem. 实验结果表明,提出的可变k近邻LLE数据降维方法在基于内容的图像检索中取得了较高的检索准确率。
- Feature extraction is the foundation of audio classification,while audio classification is a key of content based audio retrieval. 音频特征提取是音频分类的基础,而音频分类又是基于内容的音频检索的关键。
- 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。
- Feature extraction is the foundation of audio classification, while audio classification is a key of content based audio retrieval. 摘要音频特征提取是音频分类的基础,而音频分类又是基于内容的音频检索的关键。
- Abstract: The association analysis of data mining was introduced into the content based image retrieval (CBIR), and a novel CBIR method was put forward. 摘 要: 将数据挖掘中的灰关联分析引入基于内容的图像检索中,提出一种基于灰关联度的回转窑火焰图像的检索方法。
- Content Based Image Retrieval(CBIR)is an extension to the traditional information retrieval.It adopts visual content rather than keyword to judge image similarity. 基于内容的图像检索(CBIR)是对传统信息检索领域的扩展.;它采用图像视觉内容的相似性判别进行查询
- 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。
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- 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。
- 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。
- 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。
- 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。