A Survey on Recent Image Indexing and Retrieval Techniques for Low-level Feature Extraction in CBIR systems

被引：23
|
作者：
Juneja, Komal [1 ]
Verma, Akhilesh [1 ]
Goel, Savita [2 ]
Goel, Swati [1 ]
机构：
[1] AKGEC, Dept CSE, Ghaziabad, India
[2] IIT Delhi, CSC, New Delhi, India
来源：
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION TECHNOLOGY CICT 2015 | 2015年
关键词：
Content-Based Image Retrieval (CBIR); Texture Feature; Feature Extraction; Similarity measurement and Performance Parameters; LOCAL BINARY PATTERNS;
D O I：
10.1109/CICT.2015.92
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In the modern era, with the explosive growth of image databases, huge amount of image and video archive led to rise of a new research and development of efficient method to searching, locating and retrieving of image. For this purpose, an efficient tool for searching, locating and retrieval of image is required. This paper presenting a survey on low-level feature description techniques for Content Based Image Retrieval is presented with its various applications.
引用
收藏
页码：67 / 72
页数：6
相关论文
共 50 条
  • [21] Low-level Invariant Image Retrieval Based On Results Fusion
    Abbadeni, Noureddine
    Alhichri, Haikel
    2008 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-4, 2008, : 1245 - 1248
  • [22] LOW-LEVEL PROCESSING TECHNIQUES IN GEOPHYSICAL IMAGE INTERPRETATION
    ROBERTO, V
    PERON, A
    FUMIS, PL
    PATTERN RECOGNITION LETTERS, 1989, 10 (02) : 111 - 122
  • [23] Histogram of Low-Level Visual Features for Salient Feature Extraction
    Mehboob, Rubab
    Javed, Ali
    Dawood, Hassan
    Dawood, Hussain
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2022, 47 (08) : 10589 - 10604
  • [24] Histogram of Low-Level Visual Features for Salient Feature Extraction
    Rubab Mehboob
    Ali Javed
    Hassan Dawood
    Hussain Dawood
    Arabian Journal for Science and Engineering, 2022, 47 : 10589 - 10604
  • [25] Analysis and Optimization of Feature Extraction Techniques for Content Based Image Retrieval
    Chauhan, Kavita
    Sharma, Shanu
    INFORMATION SYSTEMS DESIGN AND INTELLIGENT APPLICATIONS, VOL 3, INDIA 2016, 2016, 435 : 357 - 365
  • [26] Natural Image Matting with Low-Level Feature Attention Guidance
    Jiang, Hang
    Wu, Song
    He, Dehong
    Xiao, Guoqiang
    KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, KSEM 2022, PT III, 2022, 13370 : 550 - 561
  • [27] Image background search: Combining object detection techniques with content-based image retrieval (CBIR) systems
    Srihari, R
    Zhang, ZF
    Rao, AB
    IEEE WORKSHOP ON CONTENT-BASED ACCESS OF IMAGE AND VIDEO LIBRARIES (CBAIVL'99) - PROCEEDINGS, 1999, : 97 - 101
  • [28] An Adequate Approach to Image Retrieval Based on Local Level Feature Extraction
    Khan, Sumaira Muhammad Hayat
    Hussain, Ayyaz
    Al Shaikhli, Imad Fakhri Taha
    MEHRAN UNIVERSITY RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY, 2015, 34 (04) : 337 - 348
  • [29] Intelligent shape feature extraction and indexing for efficient content-based medical image retrieval
    Mlsna, PA
    Sirakov, NM
    6TH IEEE SOUTHWEST SYMPOSIUM ON IMAGE ANALYSIS AND INTERPRETATION, 2004, : 172 - 176
  • [30] A SURVEY OF THE LOW-LEVEL DESCRIPTORS USED FOR CONTENT BASED MULTIMEDIA RETRIEVAL
    Tapu, Ruxandra
    Tapu, Ermina
    Mocanu, Bogdan
    Dragulanescu, Elena
    METALURGIA INTERNATIONAL, 2009, 14 : 12 - 15
12345