Query refinement for Internet multimedia information retrieval using keywords and low-level features

被引：0
|
作者：
Vadivel, A. [1 ]
Sural, Shamik [2 ]
Majumdar, A. K. [3 ]
机构：
[1] Natl Inst Technol, Dept Comp Applicat, Tiruchirappalli, Tamil Nadu, India
[2] Sch Informat Technol, Indian Inst Technol, Kharagpur, W Bengal, India
[3] Indian Inst Technol, Dept Comp Sci & Engn, Kharagpur, W Bengal, India
来源：
ICCIMA 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, VOL IV, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/ICCIMA.2007.45
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The main obstacle in realizing semantic-based image retrieval is front the web that semantic description of an image is difficult to capture in low-level features. Text based keywords can be generated from web documents to capture semantic information for narrowing down the search space. We use an effective approach to integrate keywords, which is extracted from Web documents and low-level features such as color-texture features to take advantage of their complementing strengths. Experimental results show that the keywords can be replaced with low-level features for successful query refinement and improved precision of retrieval.
引用
收藏
页码：192 / +
页数：2
相关论文
共 50 条
  • [21] Low-Level Video Features as Predictors of Consumer Engagement in Multimedia Advertisement
    Aslan Oguz, Evin
    Kosir, Andrej
    Strle, Gregor
    Burnik, Urban
    APPLIED SCIENCES-BASEL, 2023, 13 (04):
  • [22] Exploring the relationship between low-level features and semantics for image retrieval
    Wu, Y
    Hastings, S
    2005 BEIJING INTERNATIONAL CONFERENCE ON IMAGING: TECHNOLOGY AND APPLICATIONS FOR THE 21ST CENTURY, 2005, : 184 - 185
  • [23] Data cleansing for web information retrieval using query independent features
    Liu, Yiqun
    Zhang, Min
    Cen, Rongwei
    Ru, Liyun
    Ma, Shaoping
    JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2007, 58 (12): : 1884 - 1898
  • [24] Scene categorization using low-level visual features
    Pratikakis, Ioannis
    Gatos, Basilios
    Thomopoulos, Stelios C. A.
    VISAPP 2006: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 2, 2006, : 155 - +
  • [25] Content-Based Medical Image Retrieval Using Low-Level Visual Features and Modality Identification
    Caicedo, Juan C.
    Gonzalez, Fabio A.
    Romero, Eduardo
    ADVANCES IN MULTILINGUAL AND MULTIMODAL INFORMATION RETRIEVAL, 2008, 5152 : 615 - 622
  • [26] ECHOCARDIOGRAM VIEW CLASSIFICATION USING LOW-LEVEL FEATURES
    Wu, Hui
    Bowers, Dustin M.
    Huynh, Toan T.
    Souvenir, Richard
    2013 IEEE 10TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 2013, : 752 - 755
  • [27] Software Categorization Using Low-Level Distributional Features
    Bodo, Zalan
    Indurkhya, Bipin
    NEW TRENDS IN INTELLIGENT SOFTWARE METHODOLOGIES, TOOLS AND TECHNIQUES, 2017, 297 : 88 - 98
  • [28] Musical Style Classification Using Low-Level Features
    Buzzanca, Armando
    Castellano, Giovanna
    Fanelli, Anna Maria
    ACTIVE MEDIA TECHNOLOGY, PROCEEDINGS, 2009, 5820 : 288 - 298
  • [29] Using query contexts in information retrieval
    Bai, Jing
    Nie, Jian-Yun
    Cao, Guihong
    Bouchard, Hugues
    Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07, 2007, : 15 - 22
  • [30] Data refinement with low-level pointer operations
    Mijajlovic, I
    Yang, HS
    PROGRAMMING LANGUAGES AND SYSTEMS, PROCEEDINGS, 2005, 3780 : 19 - 36
12345