A Probabilistic Model for User Relevance Feedback on Image Retrieval

被引：0
|
作者：
Paredes, Roberto [1 ]
Deselaers, Thornas [2 ]
Vidal, Enrique [1 ]
机构：
[1] Univ Politecn Valencia, Inst Informat Technol, Pattern Recognit & Human Language Technol Grp, Valencia, Spain
[2] Rhein Westfal TH Aachen, Dept Comp Sci, Human Language Technol & Pattern Recognit Grp, Aachen, Germany
来源：
MACHINE LEARNING FOR MULTIMODAL INTERACTION, PROCEEDINGS | 2008年 / 5237卷
关键词：
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：
We present a novel probabilistic model for user interaction in image retrieval applications which accounts for consistency among the retrieved images and considers the. distribution of images in the database which is searched for, Common models for relevance feedback do not consider this and thus do riot incorporate all available information. The proposed method is evaluated on two publicly available benchmark databases and clearly outperforms recent competitive methods.
引用
收藏
页码：260 / +
页数：3
相关论文
共 50 条
  • [21] A generalized relevance feedback scheme for image retrieval
    Zhou, XS
    Huang, TS
    [J]. INTERNET MULTIMEDIA MANAGEMENT SYSTEMS, 2000, 4210 : 348 - 355
  • [22] Image retrieval based on indexing and relevance feedback
    Saha, Sanjoy K.
    Das, Amit K.
    Chanda, Bhabatosh
    [J]. PATTERN RECOGNITION LETTERS, 2007, 28 (03) : 357 - 366
  • [23] Fuzzy relevance feedback in the semantic image retrieval
    [J]. Javidi, Malihe (malihejavidi@gmail.com), 2018, Old City Publishing (30) : 4 - 6
  • [24] Kernel indexing for relevance feedback image retrieval
    Peng, J
    Heisterkamp, DR
    [J]. 2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 1, PROCEEDINGS, 2003, : 733 - 736
  • [25] Relevance feedback for cross language image retrieval
    Clough, P
    Sanderson, M
    [J]. ADVANCES IN INFORMATION RETRIEVAL, PROCEEDINGS, 2004, 2997 : 238 - 252
  • [26] Relevance Feedback in Image Retrieval Based on RSVM
    Qi, Ya-Li
    [J]. 2009 WASE INTERNATIONAL CONFERENCE ON INFORMATION ENGINEERING, ICIE 2009, VOL I, 2009, : 228 - 231
  • [27] IMAGE RETRIEVAL WITH FEATURE SELECTION AND RELEVANCE FEEDBACK
    Sun, Yu
    Bhanu, Bir
    [J]. 2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, 2010, : 3209 - 3212
  • [28] KERNEL GBDA FOR RELEVANCE FEEDBACK IN IMAGE RETRIEVAL
    Li, Jing
    Yuan, Yuan
    [J]. INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS, 2007, 7 (04) : 767 - 776
  • [29] Fuzzy Relevance Feedback in the Semantic Image Retrieval
    Javidi, Malihe
    Yazdi, Hadi Sadoghi
    Pourreza, H. R.
    [J]. JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, 2018, 30 (4-6) : 489 - 520
  • [30] Relevance feedback in image retrieval: A comprehensive review
    Zhou, XS
    Huang, TS
    [J]. MULTIMEDIA SYSTEMS, 2003, 8 (06) : 536 - 544
12345