V. Chandrasekhar, D. Chen, S. Tsai, N. Cheung, H. Chen, G. Takacs, Y. Reznik, R. Vedantham, R. Grzesczcuk, J. Bach, B. Girod
We survey popular data sets used in computer vision litera- ture and point out their limitations for mobile visual search applications. To overcome many of the limitations, we pro- pose the Stanford Mobile Visual Search data set. The data set contains camera-phone images of products, CDs, books, outdoor landmarks, business cards, text documents, mu- seum paintings and video clips. The data set has several key characteristics lacking in existing data sets: rigid objects, widely varying lighting conditions, perspective distortion, foreground and background clutter, realistic ground-truth reference data, and query data collected from heterogeneous low and high-end camera phones. We hope that the data set will help push research forward in the field of mobile visual search.