A System for Non-linear Exploration of Visual Information
Abstract:
The amount of personal data in the form of social media, email, music, video, and personal photos continues to grow at a rapid pace. While some advances have been made in the more conventional methods of indexing and searching large catalogues of images, few approaches address the need for a system that enables users to explore their personal libraries in a non-linear and dynamic way. In this paper we propose an interactive system that enables users to explore their personal photographs by dynamically organizing them based on multiple image attributes such as, but not limited to: time, location, face recognition, color, as well as social attributes. A prototype system and interface were developed. The underlying processing of image data employed a suite of algorithmic methods including hierarchical clustering, face detection and recognition, histogram analysis, and others…