An Image Retrieval System Based On MPEG-7 And XMLDB Query For Digital Museum

Due to the constant development of internet technology, the amount of multimedia information that we can get from the web is much larger than before, so that a perfect retrieval method which can realize content based searching and fulfill demands of all kinds of multimedia customers becomes increasingly important in image search. The most current multimedia searching methods are by and large based on keywords or language description, which speed is very quick, but the amount of retrieval results would be very large, and it can't complete the requirement of correctness. So many professional persons began to focus on the study of content-based multimedia retrieval recently.A content-based multimedia retrieval system is introduced in this paper. This system is used for image retrieval of digital museum. For the feature extraction of images, a description tool is developed according to MPEG-7 standard. The system uses color, shape and texture information defined in MPEG-7 standard, as well as simple semantic annotations, to search images. And two search methods are used: Query-By-Example (QBE), that users must submit an image and the system return a group of matching images and Query-By-Keyword(QBK) that users can use simple language descriptions to retrieve images.Query-By-Example (QBE) uses low level features of images, such as color, shape, texture etc. extracted automatically by program modules. Query-By-Keyword(QBK) uses some semantic information to retrieval images, such as description of the storage images (file formats, image size), creation and production information (creation date, title), significant information about cultural relics (the age of the cultural relics in the images, the place where the cultural relics were found).The multimedia database in this system consists of two major parts: API, which is the interface between database and Internet, and processes incoming requests, returns retrieval result; database backend system, which stores the content itself. And We provide a browser based search UI accept user query requests. It does not require anything else other than a Web browser and makes the client side of the system quite...