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。
The segmentation for moving pictures is important in content-based video encoding and 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。
Key techniques for the realization of content-based video retrieval in digital library include video data modeling, video segmentation, video indexing, and video searching and browsing.
实现数字图书馆中基于内容的视频检索的关键技术包括：视频数据建模、视频分割、视频索引、视频查询与浏览。
To realize the content-based retrieval and recovery of video, video segmentation into shots and its description are necessary.
为了实现基于内容的视频检索和恢复，必须将视频分割成不同的镜头，再对镜头进行描述。
This paper puts forward an information retrieval system based on XML documents database on the foundation of segmentation technology, index technology and structured query language technology.
在分词技术、索引技术、结构化查询语言技术的基础上，提出了一个基于XML文档数据库的信息检索系统，这一系统模型主要由分词模块、索引模块及查询模块组成。
This paper presents a segmentation-based real-time frequency retrieval method and discusses its control strategy.
提出了基于分段的实时声频检索方法，并讨论了在实时检索中的控制策略。
Experimental results indicate that accurate segmentation can improve the effectiveness of retrieval based on PLSA.
实验结果表明：在概率潜在语义检索模型中，词的正确切分能提高检索的平均精度。
Experimental results indicate that accurate segmentation can improve the effectiveness of retrieval based on PLSA.
实验结果表明：在概率潜在语义检索模型中，词的正确切分能提高检索的平均精度。
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