scholarly journals Video Information Retrieval and Editing. TV Program Production based on Hierarchical Information Management Structure.

Author(s):  
Hideki Sumiyoshi ◽  
Kyoko Ariyasu ◽  
Yuichi Mochizuki ◽  
Masanori Sano ◽  
Seiki Inoue
Author(s):  
Yi-Chun Liao

This chapter introduces a preference-based recommendation procedure in a green product information retrieval system. It constructs a green information management system based on data mining technology. Green products and relevant green regulations were collected and then integrated in a content-based and collaborative filtering method to provide a preference-based query interface for green products. It is hoped that the proposed system offers consumers a green information platform when they are considering buying green products. Our proposed system recommends the best possible choices for consumers that indicate a green preference. Besides serving as a green information retrieval for the consumers, the system also assists the product designers with understanding the preference some consumers have for green products and the satisfaction they get from buying these products.


1986 ◽  
Vol 5 (1) ◽  
pp. 61-68
Author(s):  
Elizabeth Orna

This article discusses work undertaken to improve the management of information on Prestel It describes the development of improved indexing and information retrieval systems, leading to the recently introduced new subject index, backed up by a thesaurus and associated software. The work was linked with the development by British Telecom Research and Development Laboratories of the new Keyword system of access, which Prestel plans to introduce shortly.


2017 ◽  
Vol 28 (3-4) ◽  
pp. 243-265
Author(s):  
Muhammad Usman Ghani Khan ◽  
Yoshihiko Gotoh

2018 ◽  
Vol 232 ◽  
pp. 01010
Author(s):  
Jia Zhang

In order to improve the ability of library and information management in colleges and universities, and improve intelligent retrieval level of books, a design method of library information management system is proposed based on big data fusion. The phase space reconstruction technology is used to reconstruct the feature of library and information. The feature quantity of semantic concept set of library information is extracted, and the classification storage and information retrieval of library information is carried out by fuzzy clustering method. The adaptive training method is used for feature fusion, and big data fusion of library and information is realized in high dimensional feature space. The data processing center is set up under the Linux kernel environment, the application program of the university library information management system is developed under the Linux kernel, and the VXI bus technology is used to transmit and schedule the university library information management information and data. Realize the software development and design of the school library information management system. The test results show that the design of university library information management system with this method has good information storage and scheduling ability, and it improves the performance of library information retrieval. In the information recall rate and recall rate and other indicators performance has an advantage.


Author(s):  
Sagarmay Deb

In this chapter, we present a basic introduction to two very important areas of research in the domain of Information Technology, namely, video data management and video information retrieval. Both of these areas need additional research efforts to seek solutions to many unresolved problems for efficient data management and information retrieval. We discuss those issues and relevant works done so far in these two fields.


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