关键帧提取技术是基于内容检索和视频分析的基础。
Key frame extraction is a fundamental processes for content-base video retrieval and video analysis.
多维索引技术是基于内容检索的图像数据库的关键技术。
Multidimensional indexing technology is the key technology of content-based retrieval in image database.
纹理相似性研究是基于内容检索研究中的一个重要组成部分。
The evaluation of texture similarity is very important in content-based image retrieval systems.
本文首先讨论了基于内容检索的体系结构及视频数据的结构；
First, the paper discusses the architecture of content-based retrieval and structure of video data.
基于内容检索方法的提出，对视频对象的处理提出了新的要求。
Based on content retrieval method proposing, Sets the new request to video frequency object processing.
文章介绍了以直方图为工具实现压缩视频基于内容检索系统的方法。
This paper presents the method of using histogram to implement content-based retrieval in compressed-video.
基于内容检索的病理信息管理系统中，目标分割技术始终是特征参数测量的一个重要环节。
For pathological information management system, which is based on content retrieving, technology of object segmentation is always an important part of parametric measurement.
在降维的基础上，建立了一个新的索引机制，并以此加速大规模图像库的基于内容检索的进程。
Based on dimension reduction, it puts forward a new indexing structure to improve the performance of content-based retrieval of large image databases.
低层视觉特征提取、高维数据索引机制和相关反馈方法是面向大规模图像库基于内容检索的三个关键问题。
Visional feature extraction, high dimensional indexing mechanism and relevance feedback are three important issues in content-based image retrieval.
基于内容检索技术中必不可少的关键步骤就是图像特征的提取，其中可提取的特征有颜色、纹理和形状等。
Among the contend-based retrieval technologies, feature extraction is most important. For instance, color, texture and shape feature etc.
基于内容的视频检索中的一个最普遍的方法是根据给定例子视频的检索，因此视频相似度度量是基于内容检索中的一个基本问题。
The most commonly used method for content-based video retrieval is query by example, so the video similarity measurement becomes a basal problem.
Picitup是世界上领先的基于内容的图像检索服务的web3.0开发者和服务者。
Picitup is a leading web 3.0 developer and provider of content based image search services.
除了预期的数据源操作支持之外，SDO还提供了基于类似XPath的表达式(包括查询)设置和检索s DO内容的能力。
In addition to the expected data structure manipulation support, SDOs also provide the ability to set and retrieve the contents of an SDO based on an XPath-like expression, including queries.
此构建块允许您基于指定的文档类型从PortalDocumentManager检索内容。
This builder allows you to retrieve the content from Portal Document Manager based on the document type specified.
可以基于静态或入站请求中的分类、关系和属性检索信息，以便能够获得特定于上下文的内容。
Information can be retrieved based on static classifications, relationships, and attributes, or from those in an inbound request so that context specific content can be harvested.
下个月在西班牙的马德里，研究员将在基于内容的多媒体检索国际研讨会上展出他们的成果。
The researchers will present the work at the International Workshop on Content-Based Multimedia Indexing in Madrid, Spain, next month.
肤色特征在MPEG4、基于内容的图像检索、虚拟现实等领域有着广泛的应用。
The features of skin color are wide used in the areas of MPEG4, content based image retrieve and virtual reality.
由于计算机可以理解rdf描述和携带的元数据的含义，因此可以做到基于内容的精确检索。
Because computer can understand the meaning of metadata carried by RDF, our searching engine can provide information retrieval based on concept or content.
第一种，基于内容文本的检索，和item相关的内容，特别是文字，可用来计算相似性。
For the first, content-based analysis, content associated with the item, especially text, is used to compute similarity.
php有一些检索基于Web的内容的函数。
文字信息在描述图象内容时起着重要的作用，因此文字提取及识别是基于内容视频检索的关键技术。
Text extraction is a key technique in content-based video retrieval as textual information plays an important role in describing the content of image.
情节代表帧选取方法是视频语义分析和基于内容的视频检索的很重要的方法。
Selecting episode representation frame is one of the important processes in video semantic analysis and content-based video retrieval.
纹理特征作为基本的视觉特征之一，在基于内容的遥感图像检索中得到了广泛的应用。
As one of the fundamental visualized characters, texture feature is used widely in the Content-based Remote Sensing Images 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 has important application in content-based video encoding and video retrieval.
镜头边界检测是基于内容的视频检索首先要解决的问题。
Shot boundary detection is the first essential step in content-based video retrieval.
运动图像的分割在基于内容的视频编码及视频检索中占有重要的地位。
The segmentation for moving pictures is important in content-based video encoding and video retrieval.
本文首先分析了基于内容的视频检索的关键技术。总结了镜头分割、视频流特征分析和镜头聚类方面的相关研究和算法。
At first, we summarize the key techniques used in the content-based video retrieval, such as shots division, video character analysis, shots clustering, etc.
基于内容的3d模型检索是多媒体信息检索的热点研究问题之一。
The content-based 3d model retrieval is one of the hot research problems in the multimedia information 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。
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。
Feature extraction is the foundation of audio classification, while audio classification is a key of content based audio retrieval.
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