A Novel Image Retrieval Based on Visual Words Integration of SIFT and SURF.
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.
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.
Nouman
N
Ali
Faculty of Telecommunication and Information Engineering, University of Engineering and Technology, Taxila, Pakistan.
Khalid Bashir
KB
Bajwa
Institute of Computer Aided Automation, Computer Vision Lab, Vienna University of Technology, Vienna, Austria.
Robert
R
Sablatnig
Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece.
Savvas A
SA
Chatzichristofis
Faculty of Telecommunication and Information Engineering, University of Engineering and Technology, Taxila, Pakistan.
Zeshan
Z
Iqbal
Department of Computer Engineering, Umm Al Qura University, Makkah, Saudi Arabia.
Muhammad
M
Rashid
Faculty of Telecommunication and Information Engineering, University of Engineering and Technology, Taxila, Pakistan.
Hafiz Adnan
HA
Habib
D000465:Algorithms; D001109:Archives; D001185:Artificial Intelligence; D007090:Image Interpretation, Computer-Assisted; D007091:Image Processing, Computer-Assisted; D016247:Information Storage and Retrieval; D010363:Pattern Recognition, Automated; D060388:Support Vector Machine