Holographic data storage is a subject of considerable current and commercial interest . volume holographic storage ( vhs ) has attracted interest because of its potential in high - density and fast parallel readout . photorefractive crystals ( e . g . , 体全息存储是一种高速并行读取的信息存储技术，在海量信息存储、光学相关图像库的建立、光学滤波器等方面取得了较大的进展。
In this paper , a lot research work has been done around three points : how to abstract and index low - level feature of images , how to retrieval images in semantic level , and how to fill the semantic gap by relevant feedback technique 前者研究的是根据自动获取的图像低层特征，从图像数据库中检索出相关图像；而后者研究的是如何从多种渠道获取图像语义信息，并根据语义检索相关图像。
This system can project partial discrete images and make image mosaic to form a panoramic image that displays a whole scene , compose many scenes into a panoramic space by using hotspot and realize browse and navigation of scene 该系统能够将离散的相关图像投影后拼接成表示一个完整场景的全景图片，并将那些相关的场景以热点的方式组织成一个包含更多信息的全景空间，实现对全景空间的浏览与漫游。
Relevant feedback is also applied in the system , it enable to catch the users ’ query intention by adjusting its similarity criterion automatically ; also , it pass the annotations for the relevant images , update weights between key words and images and fill the semantic networks 通过相关反馈技术理解用户的意图,自动调整相似度测量准则以符合用户的需求;另外,给相关图像传递语义标注,更新相关性强度,充实语义网络。
In the system , key word networks and low - level feature table are both established for images , which realized double indexing ; relevant feedback is also applied in the system . on one hand , it enables the system catch users " query intention on line by adjusting its similarity criterion automatically ; on the other hand , it pass the annotations for relevant images , update weights between key words and images and fill the semantic networks , thus the system can study in long - term 此系统为图像构建语义关键字网络，并建立低层特征库，对图像实行特征和语义的复合索引；通过相关反馈技术一方面在线理解用户的查询意图，自动调整相似度测量准则以符合用户需求；另一方面给相关图像传递语义标注，更新相关性强度，充实语义网络，实现长期的学习和记忆。
