Fast Information Retrieval using Indexing Techniques

被引：0
|
作者：
Stoica Spahiu, Cosmin [1 ]
Stanescu, Liana [1 ]
Brezovan, Marius [1 ]
机构：
[1] Univ Craiova, Fac Automat Comp & Elect, Craiova Dolj, Romania
来源：
INTELLIGENT INTERACTIVE MULTIMEDIA SYSTEMS AND SERVICES | 2013年 / 254卷
关键词：
Multimedia databases; content-based retrieval; information indexing;
D O I：
10.3233/978-1-61499-262-2-89
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper presents the solution adopted to index the information in a Multimedia Database Management System dedicated to medical domain, being optimized for medium sized databases. The system automatically processes the images inserted into database, extracting characteristics as: color histogram, texture, and color regions. The system contains the needed algorithms for images processing and visual content-based retrieval, thus making the client applications less complex. The information is indexed using a single level B-tree structure for text-based data, and using an R-trees structure for multimedia data. The performances of the system are analyzed from the execution time point of view.
引用
收藏
页码：89 / 98
页数：10
相关论文
共 50 条
  • [1] Information Retrieval using Dynamic Indexing
    Mohammed, Sura I.
    Omara, Fatma A.
    Sharaf, Hussien M.
    [J]. 2014 9TH INTERNATIONAL CONFERENCE ON INFORMATICS AND SYSTEMS (INFOS), 2014,
  • [2] Pre-indexing Techniques in Arabic Information Retrieval
    Ben Guirat, Souheila
    Bounhas, Ibrahim
    Slimani, Yahia
    [J]. PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE (ICAART), VOL 2, 2019, : 237 - 246
  • [3] Comprehensive Study and Comparison of Information Retrieval Indexing Techniques
    Malki, Zohair
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2016, 7 (01) : 132 - 140
  • [4] A methodology for comparison of any indexing techniques for information retrieval system
    Arshad, S
    Shoaib, M
    Shah, A
    [J]. SERP '05: Proceedings of the 2005 International Conference on Software Engineering Research and Practice, Vols 1 and 2, 2005, : 897 - 904
  • [5] Analysis and development of latent semantic indexing techniques for information retrieval
    Bottello, M.
    [J]. Data Mining VII: Data, Text and Web Mining and Their Business Applications, 2006, 37 : 193 - 202
  • [6] Document Retrieval using Efficient Indexing Techniques: A Review
    Gupta, Shweta
    Yadav, Sunita
    Prasad, Rajesh
    [J]. INTERNATIONAL JOURNAL OF BUSINESS ANALYTICS, 2016, 3 (04) : 64 - 82
  • [7] A Review on Indexing Techniques and its Application in Multilingual Information Retrieval System
    Madankar, Mangala
    Chandak, Manoj
    [J]. INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING, 2021, 12 (05): : 610 - 616
  • [8] MODERN INDEXING AND RETRIEVAL TECHNIQUES MATCHING DIFFERENT TYPES OF INFORMATION NEEDS
    INGWERSEN, P
    WORMELL, I
    [J]. INTERNATIONAL FORUM ON INFORMATION AND DOCUMENTATION, 1989, 14 (03): : 17 - 22
  • [9] Design of New Indexing Techniques Based on Ontology for Information Retrieval Systems
    Saruladha, K.
    Aghila, G.
    Penchala, Sathish Kumar
    [J]. INFORMATION AND COMMUNICATION TECHNOLOGIES, 2010, 101 : 287 - +
  • [10] Using latent semantic indexing for multilanguage information retrieval
    Berry, MW
    Young, PG
    [J]. COMPUTERS AND THE HUMANITIES, 1995, 29 (06): : 413 - 429
12345