• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of visual communication & image representation >On Emerging Techniques For Multimedia Content Sharing, Search And Understanding
【24h】

On Emerging Techniques For Multimedia Content Sharing, Search And Understanding

机译：多媒体内容共享，搜索和理解的新兴技术

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Advances in modern multimedia technologies have led to huge and ever-growing archives of images, audio and video in diverse application areas such as entertainment and education. Moreover, due to the decreasing cost of storage devices, improved compression techniques, and growing communication infrastructure, multimedia data have also become widely available around the world. For instance, the advent of media-sharing sites like Flickr and You-Tube has brought huge amount of multimedia resources to the web that can be accessed by anyone. Such explosion of multimedia data has motivated active researches in various areas with the ultimate goal of making unstructured multimedia data accessible, reusable, searchable, and manageable. In fact, to encourage original research and nurture different ideas in the automatic segmentation, indexing and content-based retrieval of digital videos, NIST has been sponsoring a special video track called TRECVID to evaluate and compare different techniques with standardized datasets, bench-marked concepts and queries. On the other hand, the large amount of multimedia data on the web and the latest development of semantic web have motivated new research fronts in the area of semantic web service, social intelligence, and web-based content sharing and search.
机译：随着现代多媒体技术的发展，在娱乐和教育等各种应用领域中，图像，音频和视频的存档数量不断增长。此外，由于存储设备成本的降低，改进的压缩技术以及不断发展的通信基础设施，多媒体数据也已在世界范围内广泛获得。例如，像Flickr和You-Tube这样的媒体共享网站的出现为网络带来了巨大的多媒体资源，任何人都可以访问。多媒体数据的爆炸式增长激发了各个领域的积极研究，其最终目标是使非结构化多媒体数据可访问，可重用，可搜索和可管理。实际上，为了鼓励原始研究并在自动分割，索引和基于内容的数字视频检索中培养不同的想法，NIST一直赞助着一种名为TRECVID的特殊视频轨道，以评估和比较不同的技术与标准化数据集，基准概念和查询。另一方面，网络上大量的多媒体数据和语义网络的最新发展激发了语义网络服务，社会智能以及基于网络的内容共享和搜索领域的新研究前沿。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号