Pictorial information processing relies heavily on the establishment of an efficient pictorial database system. Presentday database management systems are designed primarily for efficient storage, retrieval and manipulation of alphanumeric data. U ntiI very recently, little attention has been paid to the storage, retrieval and manipulation of non-alphanumeric information such as digitized image...

Automated Storage and Retrieval Systems have many benefits to different manufacturing systems. The benefits of Automated Storage and Retrieval Systems include better inventory control, larger inventory and storage capacities, and faster and more effective materials handling. Materials handling has always been a challenge in any manufacturing environment being a non-value added process and poten...

Because the number of XML documents is dramatically increasing, we need to develop a multimedia information retrieval system which can support both the retrieval based on document structure and the retrieval based on image content. In order to support the structure-based retrieval, we design keyword, structure, element, and attribute index structures by indexing XML documents based on the basic...

We report a high fidelity optical memory in which dynamical decoupling is used to extend the storage time. This is demonstrated in a rare-earth doped crystal in which optical coherences were transferred to nuclear spin coherences and then protected against environmental noise by dynamical decoupling, leading to storage times of up to 4.2 ms. An interference experiment shows that relative phases...

An important issue in multimedia servers is disk load balancing. In this paper we use randomization and data redundancy to enable good load balancing. We focus on duplicate storage strategies, i.e., each data block is stored twice. This means that a request for a block can be serviced by two disks. A consequence of such a storage strategy is that we have to decide for each block which disk to u...

This paper adopts Hadoop to build and test the storage retrieval platform for painting resources. as MapReduce computing framework uses Distributed Filesystem (HDFS) distributed file system store massive log data, which solves problem of data. According business requirements system, this designs according process web text mining, mainly divided into data preprocessing module, analysis visualiza...

Structured document retrieval aims at exploiting the structure together with the content of documents to improve retrieval results. Several aspects of traditional information retrieval applied on flat documents have to be reconsidered. These include in particular, document representation, storage, indexing, retrieval, and ranking. This paper outlines the architecture of our system and the adapt...

Images retrieval from a large database is an important and emerging search area. This retrieval requires the choice of a suitable set of image features, a method to extract them correctly, and a measure of the similarity between features that can be computed in real-time. This paper presents a complete set of Fourier-Mellin descriptors for object storage and retrieval. Our approach is translati...

Relational Data Base Management Systems offer a commercially available tool with which to build effective document retrieval systems. The full potential of the relational model for supporting the kind of ad hoc inquiry characteristic of document retrieval has only recently been explored. In addition, commercially available relational DBMS’s also provide effective tools for managing document dat...