期刊文献+

移动视觉搜索技术研究进展及其在数字人文领域应用实践 被引量:5

Research Progress of Mobile Visual Search and Its Application and Practicein Digital Humanities
在线阅读 下载PDF
导出
摘要 随着云计算、移动智能终端等信息技术飞速发展,视觉搜索开始从PC端走向移动终端,自移动视觉搜索(Mobile Visual Search,MVS)提出以来,已成为信息检索领域重要研究课题。目前MVS研究主要集中于基本架构、视觉对象处理、视觉对象检索等关键技术;在数字人文领域,MVS主要应用于展品导览,实现精准定位,提升阅读体验等;标准化问题、用户体验及视觉对象数据库构建则是其未来重点发展方向。 With the rapid development of information technologies,such as cloud computing and mobile intelligent,Visual Search begins moving from the PC to the mobile.Mobile Visual Search(MVS)has become an important research topic in the field of information retrieval since it was put forward.At present,MVS research mainly focuses on the key technologies such as basic architecture,visual object processing and visual object retrieval;in the field of digital humanities,MVS is mainly used in exhibition,achieving precise positioning,enhancing reading experience and so on;standardization,user experience and the construction of visual object databases will be the key directions for future development.
作者 余婷婷 Yu Tingting(Shanghai Jiaotong University Library,Shanghai 200240)
出处 《创新科技》 2017年第5期43-46,共4页 Innovation science and technology
关键词 移动视觉搜索 数字人文 Mobile Visual Search digital humanities
作者简介 余婷婷(1990-),女,硕士,助理馆员,研究方向:信息检索,信息组织,情报分析。
  • 相关文献

参考文献3

二级参考文献86

  • 1宋枫溪,高秀梅,刘树海,杨静宇.统计模式识别中的维数削减与低损降维[J].计算机学报,2005,28(11):1915-1922. 被引量:44
  • 2吴刚,王抒芸.移动搜索:增值业务新宠[J].通信企业管理,2006(3):33-35. 被引量:5
  • 3Bruns E,Brombach B,Zeidler T,et al.Enabling mobilephones to support large-scale museum guidance[J].IEEEMultimedia,2007,14(2):16 25
  • 4Nister D,Stewenius H.Scalable recognition with avocabulary tree[C]??Proceedings of IEEE Computer SocietyConference on Computer Vision and Pattern Recognition.Washington D C:IEEE Computer Society Press,2006,2:2161 2168
  • 5Lowe D G.Distinctive image features from scale-invariantkeypoints[J].International Journal of Computer Vision,2004,60(2):91 110
  • 6Fischler M A,Bolles R C.Random sample consensus:aparadigm for model fitting with applications to image analysisand automated cartography[J].Communications of theACM,1981,24(6):381 395
  • 7Bay H,Ess A,Tuytelaars T,et al.Speeded-up robustfeatures(SURF)[J].Computer Vision and ImageUnderstanding,2008,110(3):346 359
  • 8Li F F,Perona P.A Bayesian hierarchical model for learningnatural scene categories[C]??Proceedings of IEEE ComputerSociety Conference on Computer Vision and PatternRecognition.Washington D C:IEEE Computer SocietyPress,2005:524 531
  • 9Vapnik V N.The nature of statistical learning theory[M].2nd ed.New York:Springer,2000
  • 10Burges J C.A tutorial on support vector machines for patternrecognition[J].Data Mining and Knowledge Discovery,1998,2(2):121 167

共引文献61

同被引文献44

引证文献5

二级引证文献24

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部