A contact sheet approach to searching untagged images on smartphones

Wolfgang Richter, Kiryong Ha, Alok Shankar, A. A. Sani, J. Harkes, Lin Zhong, M. Satyanarayanan
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Abstract

We present a cloud-based approach to opportunistic, near real-time search of untagged images on smartphones that is sensitive to bandwidth and energy constraints. Our approach is inspired by the long-established practice of photographers using contact sheets to rapidly visualize a new collection of photographs, and then selecting a subset on which to focus attention. On behalf of each smartphone, the cloud maintains a virtual contact sheet of images that have been captured but not yet uploaded. The virtual contact sheet consists of a set of low-fidelity images as well as full or partial meta-data associated with each image. If search processing on the cloud indicates that a particular low-fidelity object is relevant, then its full-fidelity image can be obtained just-in-time from the corresponding smartphone for further search processing or presentation to the user. Our approach is not limited to images, but they provide a convenient query space to test search optimizations.
在智能手机上搜索未标记图像的联系人表方法
我们提出了一种基于云的方法,可以在智能手机上对带宽和能量限制敏感的未标记图像进行机会性的、接近实时的搜索。我们的方法的灵感来自于长期以来的摄影师使用接触表快速可视化新照片集合的做法,然后选择一个子集来集中注意力。云为每台智能手机维护一个虚拟的联系人表,其中包含已拍摄但尚未上传的图像。虚拟接触表由一组低保真图像以及与每个图像相关的全部或部分元数据组成。如果云上的搜索处理表明一个特定的低保真对象是相关的,那么它的全保真图像可以从相应的智能手机上及时获得,以便进一步的搜索处理或呈现给用户。我们的方法并不局限于图像,但它们为测试搜索优化提供了方便的查询空间。
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