학술논문

The stanford mobile visual search data set
Document Type
Conference
Source
Proceedings of the second annual ACM conference on Multimedia systems. :117-122
Subject
chog
content-based image retrieval
data sets
mobile visual search
Language
English
Abstract
We survey popular data sets used in computer vision literature and point out their limitations for mobile visual search applications. To overcome many of the limitations, we propose the Stanford Mobile Visual Search data set. The data set contains camera-phone images of products, CDs, books, outdoor landmarks, business cards, text documents, museum 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.

Online Access