Image browsing, processing, and clustering for participatory sensing: lessons from a DietSense prototype

Imagers are an increasingly significant source of sensory observations about human activity and the urban environment. ImageScape is a software tool for processing, clustering, and browsing large sets of images. Implemented as a set of web services with an Adobe Flash-based user interface, it supports clustering by both image features and context tags, as well as re-tagging of images in the user interface. Though expected to be useful in many applications, ImageScape was designed as an analysis component of DietSense, a software system under development at UCLA to support (1) the use of mobile devices for automatic multimedia documentation of dietary choices with just-in-time annotation, (2) efficient post facto review of captured media by participants and researchers, and (3) easy authoring and dissemination of the automatic data collection protocols. A pilot study, in which participants ran software that enabled their phones to autonomously capture images of their plates during meal...

• Type: Conference
• Year: 2007
• Where: EMNETS
• Authors: Sasank Reddy, Andrew Parker, Josh Hyman, Jeff Burke, Deborah Estrin, Mark H. Hansen
• Keywords: EMNETS 2007, Large Sets, Participants Ran Software, Sensor Networks, User Interface