Object Extraction Using an Edge-Based Feature for Query-by-Sketch Image Retrieval

被引：0
|
作者：
Takasu, Takuya [1 ]
Kumagai, Yoshiki [1 ]
Ohashi, Gosuke [1 ]
机构：
[1] Shizuoka Univ, Dept Elect & Elect Engn, Hamamatsu, Shizuoka 4328561, Japan
来源：
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2015年 / E98D卷 / 01期
关键词：
query-by-sketch image retrieval; object extraction; partial image retrieval; edge-based feature;
D O I：
10.1587/transinf.2014EDL8147
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We previously proposed a query-by-sketch image retrieval system that uses an edge relation histogram (ERH). However, it is difficult for this method to retrieve partial objects from an image, because the ERH is a feature of the entire image, not of each object. Therefore, we propose an object-extraction method that uses edge-based features in order to enable the query-by-sketch system to retrieve partial images. This method is applied to 20,000 images from the Corel Photo Gallery. We confirm that retrieval accuracy is improved by using the edge-based features for extracting objects, enabling the query-by-sketch system to retrieve partial images.
引用
收藏
页码：214 / 217
页数：4
相关论文
共 50 条
  • [1] Query-by-Sketch Image Retrieval Using Edge Relation Histogram
    Kumagai, Yoshiki
    Ohashi, Gosuke
    [J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2013, E96D (02): : 340 - 348
  • [2] Query-by-sketch interactive image retrieval using rough sets
    Hisamori, Takashi
    Ohashi, Gosuke
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8, 2007, : 504 - 510
  • [3] Query-by-Sketch Image Retrieval Using Similarity in Stroke Order
    Hisamori, Takashi
    Arikawa, Toru
    Ohashi, Gosuke
    [J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2010, E93D (06): : 1459 - 1469
  • [4] Query-by-sketch based image synthesis
    Gavilan, David
    Saito, Suguru
    Nakajima, Masayuki
    [J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2008, E91D (09): : 2341 - 2352
  • [5] Query-by-sketch image retrieval using homogeneous painting style characterization
    Wang, Fei
    Lin, Shujin
    Luo, Xiaonan
    Zhao, Baoquan
    Wang, Ruomei
    [J]. JOURNAL OF ELECTRONIC IMAGING, 2019, 28 (02)
  • [6] SKETCHify - an adaptive prominent edge detection algorithm for optimized query-by-sketch image retrieval
    Kabary, Ihab Al
    Schuldt, Heiko
    [J]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8382 : 231 - 247
  • [7] SKETCHify - An Adaptive Prominent Edge Detection Algorithm for Optimized Query-by-Sketch Image Retrieval
    Al Kabary, Ihab
    Schuldt, Heiko
    [J]. ADAPTIVE MULTIMEDIA RETRIEVAL: SEMANTICS, CONTEXT, AND ADAPTATION, AMR 2012, 2014, 8382 : 231 - 247
  • [8] Spatial layout representation for query-by-sketch content-based image retrieval
    Di Sciascio, E
    Donini, FM
    Mongiello, M
    [J]. PATTERN RECOGNITION LETTERS, 2002, 23 (13) : 1599 - 1612
  • [9] Edge-based feature extraction method and its application to image retrieval
    Ohashi, G
    Shimodaira, Y
    [J]. 7TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL X, PROCEEDINGS: SIGNALS PROCESSING AND OPTICAL SYSTEMS, TECHNOLOGIES AND APPLICATIONS, 2003, : 61 - 64
  • [10] Query by Approximate Shapes Image Retrieval improved object sketch extraction algorithm
    Deniziak, Stanislaw
    Michno, Tomasz
    [J]. PROCEEDINGS OF THE 2018 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS (FEDCSIS), 2018, : 555 - 559
12345