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来源：百度知道 编辑：UC知道 时间：2024/05/14 08:51:49
Content-based indexing and retrieval of visual information is an emerging research area that has received growing attention in the research community over the past decade. Though modeling and indexing techniques content-based image indexing and retrieval domain have reached reasonable maturity, content-based access of video data did not receive attention of that level. We have observed that content representation through low-level features has been fairly addressed, and there is a growing trend towards bridging the semantic gap. Mono-modal approaches have proven successful to a certain level, and more efforts are being put for fusion of multiple media. As visual databases grow bigger with advancements in visual media creation, compaction and sharing, there is a growing need for storage-efficient, scalable search
systems.

基于内容的索引和检索的视觉信息是一个新兴的研究领域，已日益得到重视，研究界在过去的十年。虽然建模和索引技术，基于内容的图像索引和检索的网域已达到合理的成熟，基于内容的视频数据的机会没有得到注意这一水平。我们注意到，内容的代表性，通过低级别的功能已经相当满足，并有一个日益增长的趋势，缩小语义差距。单态方法已证明是成功的，以一定的水平，而且正在努力把融合多种媒体。作为视觉数据库壮大规模与先进的视听媒体创作，压实和分享，人们越来越需要存储效率，可扩展的搜索系统。

视觉信息存在,在过去十年的时间中一新兴的研究区域其已经收到在研究社区中正在增加的注意的基于内容-的指数化和复得.虽然读做示范和把技术编入索引,基于内容-的形象指数化和复得领土已经合乎情理成熟,基于内容-的图像数据来临没有收到注意的那水平.我们已经注意到通过低-水平特征内容代表已经被公道论及,和有一向弥补语义的差异正在增加的倾向.单声道放音-形式的接近已经证明成功是某些水平,和更多努力正被为多重媒体的熔化表达.同样视觉数据库变得在视觉媒体创造,压实和分担中前进地更大那里存在一正在增加的需要存储-有效率,可去鳞的搜索系统.