Features in content-based image retrieval systems: A survey

被引:0
|
作者
Veltkamp, RC [1 ]
Tanase, M [1 ]
Sent, D [1 ]
机构
[1] Univ Utrecht, Dept Comp Sci, NL-3508 TB Utrecht, Netherlands
关键词
features; CBIR systems; survey;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article provides a framework to describe and compare content-based image retrieval systems. Sixteen contemporary systems are described in detail, in terms of the following technical aspects: querying, relevance feedback, result presentation, features, and matching. For a total of 44 systems we list the features that are used. Of these systems, 35 use any kind of color features, 28 use texture, and only 25 use shape features.
引用
收藏
页码:97 / 124
页数:28
相关论文
共 50 条
  • [41] Content-based image retrieval by integrating color and texture features
    Xiang-Yang Wang
    Bei-Bei Zhang
    Hong-Ying Yang
    Multimedia Tools and Applications, 2014, 68 : 545 - 569
  • [42] The Content-based Image Retrieval Method Using Multiple Features
    Ha, Jeong-Yo
    Kim, Gye-Young
    Choi, Hyung-Il
    NCM 2008 : 4TH INTERNATIONAL CONFERENCE ON NETWORKED COMPUTING AND ADVANCED INFORMATION MANAGEMENT, VOL 1, PROCEEDINGS, 2008, : 652 - 657
  • [43] Content-based image retrieval with compact deep convolutional features
    Alzu'bi, Ahmad
    Amira, Abbes
    Ramzan, Naeem
    NEUROCOMPUTING, 2017, 249 : 95 - 105
  • [44] Content-based image retrieval using perceptual shape features
    Wu, M
    Gao, QG
    IMAGE ANALYSIS AND RECOGNITION, 2005, 3656 : 567 - 574
  • [45] Multidimensional indexing structures for content-based image retrieval: A survey
    Sudhamani, M. V.
    Venugopal, C. R.
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2008, 4 (04): : 867 - 881
  • [46] Features analysis for content-based image retrieval based on color moments
    Malik, Fazal
    Baharudin, Baharum
    Research Journal of Applied Sciences, Engineering and Technology, 2012, 4 (09) : 1215 - 1224
  • [47] Edge-based structural features for content-based image retrieval
    Zhou, XS
    Huang, TS
    PATTERN RECOGNITION LETTERS, 2001, 22 (05) : 457 - 468
  • [48] Content-based Medical Image Retrieval based on Deep Features Expansion
    Rashad, Metwally
    Afifi, Ibrahem
    Abdelfatah, Mohamed
    5TH INTERNATIONAL CONFERENCE ON COMPUTING AND INFORMATICS (ICCI 2022), 2022, : 331 - 336
  • [49] CONTENT-BASED IMAGE RETRIEVAL BASED ON COLOR-SPATIAL FEATURES
    Mustaffa, Mas Rina
    Ahmad, Fatimah
    Rahmat, Rahmita Wirza O. K.
    Mahmod, Ramlan
    MALAYSIAN JOURNAL OF COMPUTER SCIENCE, 2008, 21 (01) : 1 - 12
  • [50] Advancing content-based image retrieval by exploiting image color and region features
    Gong, YH
    MULTIMEDIA SYSTEMS, 1999, 7 (06) : 449 - 457