ROISeer: Region-Based Image Retrieval by Hierarchical Feature Filtering

机译：ROISeer：通过分层特征过滤进行基于区域的图像检索

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摘要

In this paper, an image retrieval system, ROISeer is proposed. ROISeer uses a region-based approach for feature extraction, and integrated region matching based upon color and shape similarity measurements. Different from most existing image query by example systems, the proposed system provides a hierarchical feature filtering instead of using single or multiple features fusion. It considers that color feature is the most significant factor simulating the attention of Human Visual System (HVS), therefore image segmentation procedure is only applied for those image where similar color patch is presented. The novel design of this technique significantly reduces the complexity of image segmentation for large scale image databases. In addition, to enhance the reliability of the system, a region-based shape matching algorithm is utilized. This method ensures that the same region is robustly retrieved when the target is rotated, resized and shifted. Experimental results show that the ROISeer provides robust and well performance in Region of Interest (ROI) retrieval in single category or cross-category image databases.

机译：本文提出了一种图像检索系统ROISeer。 ROISeer使用基于区域的方法进行特征提取，并基于颜色和形状相似性度量来集成区域匹配。与大多数现有的通过示例系统进行的图像查询不同，所提出的系统提供了分层的特征过滤，而不是使用单个或多个特征融合。它认为颜色特征是模拟人类视觉系统（HVS）注意力的最重要因素，因此图像分割过程仅适用于呈现相似色块的那些图像。该技术的新颖设计显着降低了大型图像数据库的图像分割复杂性。另外，为了提高系统的可靠性，利用了基于区域的形状匹配算法。此方法可确保在旋转，调整大小和移动目标时稳健地检索相同区域。实验结果表明，ROISeer在单个类别或跨类别的图像数据库中的感兴趣区域（ROI）检索中提供了鲁棒且性能良好的性能。

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来源
《Advances in Multimedia Information Processing - PCM 2008》|2008年|593-600|共8页
会议地点 Tainan(CT);eTainan(CT)
作者
Zou Lei; Bizhong Wei; Xiaodong Cai; Yuelin Chen;
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作者单位

Guilin University of Electronic Technology School of Applied Science and Technology, China;

Guilin University of Electronic Technology School of Applied Science and Technology, China;

Guilin University of Electronic Technology School of Applied Science and Technology, China;

Guilin University of Electronic Technology School of Applied Science and Technology, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类计算机网络;
关键词
image retrieval; CBIR; shape matching; color similarity; image databases;

机译：图像检索； CBIR；形状匹配；颜色相似度；图像数据库;

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专利

1. Combining Attention Model with Hierarchical Graph Representation for Region-Based Image Retrieval [J] . Song-He FENG, De XU, Bing LI IEICE Transactions on Information and Systems . 2008,第8期

机译：结合注意模型和层次图表示的基于区域的图像检索
2. HIRBIR: A hierarchical approach to region-based image retrieval [J] . Yongqing Sun, Shinji Ozawa Multimedia Systems . 2005,第6期

机译：HIRBIR：一种基于区域的图像检索的分层方法
3. Region-based feature extraction from non-cooperative iris images using CDF 9/7 filter bank [J] . Soubhagya Sankar Barpanda, Banshidhar Majhi, Pankaj K. Sa Innovations in Systems and Software Engineering . 2015,第3期

机译：使用CDF 9/7滤镜库从非合作虹膜图像中基于区域的特征提取
4. ROISeer: Region-Based Image Retrieval by Hierarchical Feature Filtering [C] . Zou Lei, Bizhong Wei, Xiaodong Cai, Pacific Rim Conference on Multimedia . 2008

机译：Roiseer：基于区域的图像检索通过分层功能过滤
5. Region-based image retrieval using multiple features. [D] . Sridhar, Veena. 2002

机译：使用多种功能的基于区域的图像检索。
6. Vessel Delineation in Retinal Images using Leung-Malik filters and Two Levels Hierarchical Learning [O] . Ehsan S Varnousfaderani, Siamak Yousefi, Christopher Bowd, 2015

机译：使用Leung-Malik过滤器和两级分层学习的视网膜图像中的血管描绘
7. Combining Attention Model with Hierarchical Graph Representation for Region-Based Image Retrieval [O] . S.-H. FENG, D. XU, B. LI 2008

机译：将注意模型与基于区域的图像检索的分层图表示相结合

ROISeer: Region-Based Image Retrieval by Hierarchical Feature Filtering

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