Low-Cost Visual Feature Representations For Image Retrieval
نویسندگان
چکیده
This master’s theses addressed two research issues in order to investigate and to propose effective solutions for image retrieval on mobile devices: 1) low-cost representation for mobile image search and 2) spatial visual feature extraction. First, we have tested twenty mid-level representations of binary descriptors, ten color descriptors, five texture descriptors and two shape descriptors in ten datasets, considering the trade-off configuration regarding effectiveness, efficiency, and compactness of visual features. Finally, we propose two approaches of spatial bags of visual words called BOBGrid (spatial Bag Of BIC Grid) and BOBSlic (spatial Bag Of Slic) and compare them with our baselines. In statistical analyzes, BOBGrid and BOBSlic achieved processing results and performed better than our baselines WSA and BOSSANova. Keywords-Mobile Image Search; Global Descriptors; Binary Descriptors; Bag of Visual Words; Spatial Bag of Visual Words.
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