Towards Automatic Image Annotation Supporting Document Understanding

被引：0
|
作者：
Markowska-Kaczmar, Urszula [1 ]
Minda, Pawel [1 ]
Ociepa, Krzysztof [1 ]
Olszowy, Dariusz [1 ]
Pawlikowski, Roman [1 ]
机构：
[1] Wroclaw Univ Technol, PL-50370 Wroclaw, Poland
来源：
HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, PART I | 2011年 / 6678卷
关键词：
Image annotation; image classification; text understanding; feature extraction; machine learning; SVM; k-NN; fuzzy logic; CLASSIFICATION;
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：
The paper describes our research concerning image classification of types of graphics like plots, flow charts, illustrations and photos. Illustrations and photos are also classified into one of the following semantic classes: buildings, people, nature landscape, and interior. On this basis each image is annotated by its type and class. The key elements of the system - feature extraction and classification methods - are described in detail. A new classifier based on fuzzy logic was proposed. Moreover, we developed the Multi-Classifier, a hierarchical architecture encouraging the creation of hybrid classifiers tailored to the problem being solved. Experimental results of classification efficiency show that our approach is definitely worth further development.
引用
收藏
页码：420 / 427
页数：8
相关论文
共 50 条
  • [1] Large scale document image retrieval by automatic word annotation
    Sankar, K. Pramod
    Manmatha, R.
    Jawahar, C. V.
    INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2014, 17 (01) : 1 - 17
  • [2] Large scale document image retrieval by automatic word annotation
    K. Pramod Sankar
    R. Manmatha
    C. V. Jawahar
    International Journal on Document Analysis and Recognition (IJDAR), 2014, 17 : 1 - 17
  • [3] Automatic image semantic annotation based on image-keyword document model
    Zhou, XD
    Chen, L
    Ye, JY
    Zhang, Q
    Shi, BL
    IMAGE AND VIDEO RETRIEVAL, PROCEEDINGS, 2005, 3568 : 184 - 193
  • [4] A MATHEMATICAL APPROACH TOWARDS SEMI-AUTOMATIC IMAGE ANNOTATION
    Seneviratne, L.
    Izquierdo, E.
    19TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO-2011), 2011, : 559 - 563
  • [5] Towards Annotation-Based Query and Document Expansion for Image Retrieval
    Escalante, Hugo Jair
    Hernandez, Carlos
    Lopez, Aurelio
    Marin, Heidy
    Montes, Manuel
    Morales, Eduardo
    Sucar, Enrique
    Villasenor, Luis
    ADVANCES IN MULTILINGUAL AND MULTIMODAL INFORMATION RETRIEVAL, 2008, 5152 : 546 - 553
  • [6] AUTOMATIC IMAGE ANNOTATION
    Laic, Andreea-Alice
    Iftene, Adrian
    PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE 'LINQUISTIC RESOURCES AND TOOLS FOR PROCESSING THE ROMANIAN LANGUAGE', 2014, 2014, : 143 - 152
  • [7] Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework
    Li, Li-Jia
    Socher, Richard
    Li Fei-Fei
    CVPR: 2009 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-4, 2009, : 2036 - 2043
  • [8] A survey on automatic image annotation
    Yilu Chen
    Xiaojun Zeng
    Xing Chen
    Wenzhong Guo
    Applied Intelligence, 2020, 50 : 3412 - 3428
  • [9] A survey on automatic image annotation
    Chen, Yilu
    Zeng, Xiaojun
    Chen, Xing
    Guo, Wenzhong
    APPLIED INTELLIGENCE, 2020, 50 (10) : 3412 - 3428
  • [10] Automatic Image Annotation Refinement
    Pobar, M.
    Ivasic-Kos, M.
    2016 39TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2016, : 1324 - 1329
12345