TY - GEN
T1 - PKUBench
T2 - 2011 18th IEEE International Conference on Image Processing, ICIP 2011
AU - Ji, Rongrong
AU - Duan, Ling Yu
AU - Chen, Jie
AU - Yang, Shuang
AU - Huang, Tiejun
AU - Yao, Hongxun
AU - Gao, Wen
PY - 2011
Y1 - 2011
N2 - While there are ever growing focuses on mobile visual search in recent years, a comprehensive benchmark database with rich context information (such as GPS) for fair evaluation among different strategies is still missing. This paper introduces a PKUBench benchmark for the quantitative evaluations of mobile visual search with the support of GPS. It contains 13,179 images organized into 198 distinct landmark locations within the Peking University campus. Each location is captured with multiple shot sizes and viewing angles, using both digital cameras and phone cameras, each photo being tagged with rich contextual information in the mobile scenario. Moreover, this benchmark studies typical quality degeneration scenarios in mobile photographing, including variable resolutions, blurring, lighting changes, occlusions, as well as various viewing angles. Together with this benchmark, we provide the bag-of-visual-words search baselines involving contextual information refinement. Finally, distrac-tor images are further introduced to evaluate the robustness of visual search methods in this database.
AB - While there are ever growing focuses on mobile visual search in recent years, a comprehensive benchmark database with rich context information (such as GPS) for fair evaluation among different strategies is still missing. This paper introduces a PKUBench benchmark for the quantitative evaluations of mobile visual search with the support of GPS. It contains 13,179 images organized into 198 distinct landmark locations within the Peking University campus. Each location is captured with multiple shot sizes and viewing angles, using both digital cameras and phone cameras, each photo being tagged with rich contextual information in the mobile scenario. Moreover, this benchmark studies typical quality degeneration scenarios in mobile photographing, including variable resolutions, blurring, lighting changes, occlusions, as well as various viewing angles. Together with this benchmark, we provide the bag-of-visual-words search baselines involving contextual information refinement. Finally, distrac-tor images are further introduced to evaluate the robustness of visual search methods in this database.
KW - contextual cue
KW - database
KW - evaluation benchmark
KW - GPS
KW - landmark search
KW - mobile visual search
UR - http://www.scopus.com/inward/record.url?scp=84863012861&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2011.6116182
DO - 10.1109/ICIP.2011.6116182
M3 - Conference contribution
AN - SCOPUS:84863012861
SN - 9781457713033
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2545
EP - 2548
BT - ICIP 2011
Y2 - 11 September 2011 through 14 September 2011
ER -