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DOI: 10.1371/journal.pone.0157428
论文题名:
A Novel Image Retrieval Based on Visual Words Integration of SIFT and SURF
作者: Nouman Ali; Khalid Bashir Bajwa; Robert Sablatnig; Savvas A. Chatzichristofis; Zeshan Iqbal; Muhammad Rashid; Hafiz Adnan Habib
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2016
发表日期: 2016-6-17
卷: 11, 期:6
语种: 英语
英文关键词: Imaging techniques ; Support vector machines ; Dogs ; Archives ; Dinosaurs ; Elephants ; Horses ; Information retrieval
英文摘要: With the recent evolution of technology, the number of image archives has increased exponentially. In Content-Based Image Retrieval (CBIR), high-level visual information is represented in the form of low-level features. The semantic gap between the low-level features and the high-level image concepts is an open research problem. In this paper, we present a novel visual words integration of Scale Invariant Feature Transform (SIFT) and Speeded-Up Robust Features (SURF). The two local features representations are selected for image retrieval because SIFT is more robust to the change in scale and rotation, while SURF is robust to changes in illumination. The visual words integration of SIFT and SURF adds the robustness of both features to image retrieval. The qualitative and quantitative comparisons conducted on Corel-1000, Corel-1500, Corel-2000, Oliva and Torralba and Ground Truth image benchmarks demonstrate the effectiveness of the proposed visual words integration.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0157428&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/23317
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: Faculty of Telecommunication and Information Engineering, University of Engineering and Technology, Taxila, Pakistan;Institute of Computer Aided Automation, Computer Vision Lab, Vienna University of Technology, Vienna, Austria;Faculty of Telecommunication and Information Engineering, University of Engineering and Technology, Taxila, Pakistan;Institute of Computer Aided Automation, Computer Vision Lab, Vienna University of Technology, Vienna, Austria;Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece;Faculty of Telecommunication and Information Engineering, University of Engineering and Technology, Taxila, Pakistan;Department of Computer Engineering, Umm Al Qura University, Makkah, Saudi Arabia;Faculty of Telecommunication and Information Engineering, University of Engineering and Technology, Taxila, Pakistan

Recommended Citation:
Nouman Ali,Khalid Bashir Bajwa,Robert Sablatnig,et al. A Novel Image Retrieval Based on Visual Words Integration of SIFT and SURF[J]. PLOS ONE,2016-01-01,11(6)
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