摘要
照片档案是国家机构、社会组织及个人在社会活动中直接形成的以静止摄影为主要反映方式的、有保存价值的回忆记录。由于照片数量大,管理者根据某些特殊条件(如地点、关键节日、人物组合等)从海量照片中快速检索出相关照片比较困难,而由于照片档案的特殊性,不方便使用在线照片管理软件。因此,本文介绍了一种可以利用多模态检索技术,根据地点、关键节日、人物组合等条件,从海量照片中快速检索出符合要求的本地照片档案管理系统。通过使用该系统,照片档案管理工作者可以简化照片录入、筛选流程,快速找到符合特定条件的照片,极大地减轻自身的工作负担。
With static photography as the main reflection method,photo archives are memory records with preservation value directly formed by national institutions,social organizations,and individuals in social activities.Due to the quantity,quickly retrieving related photos from a large number of photos according to some special conditions(such as location,key festives,character combinations,etc.)is difficult.In addition,using online photo management software is inconvenient due to the particularity of archive photos.Thus,a local photo archive management system utilizing the multimodal retrieval tech⁃nology to quickly retrieve the qualified photos from a large number of photos according to the conditions such as location,key festivals,and character combinations is introduced in this paper.With this sys⁃tem,process of photo uploading and screening will be simplified to quickly find out the photos satisfying specific conditions,greatly easing the workload of photo archive administrators.
作者
谷宇
王文聪
段晓毅
GU Yu;WANG Wencong;DUAN Xiaoyi(Department of Cyberspace Security,Beijing Electronic Science and Technology Institute,Beijing 100070,P.R.China)
出处
《北京电子科技学院学报》
2024年第1期72-81,共10页
Journal of Beijing Electronic Science And Technology Institute
关键词
多模态检索
光学字符识别
人脸识别
multimodal retrieval
optical character recognition(OCR)
facial recognition