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Compression-Based Tools for Navigation with an Image Database
Computer Science Department, Brandeis University, Waltham, MA 02454, USA
Google Incorporated, 1600 Amphitheatre Parkway Mountain View, CA 94043, USA
* Author to whom correspondence should be addressed.
Received: 23 August 2011; in revised form: 6 December 2011 / Accepted: 19 December 2011 / Published: 10 January 2012
Abstract: We present tools that can be used within a larger system referred to as a passive assistant. The system receives information from a mobile device, as well as information from an image database such as Google Street View, and employs image processing to provide useful information about a local urban environment to a user who is visually impaired. The first stage acquires and computes accurate location information, the second stage performs texture and color analysis of a scene, and the third stage provides specific object recognition and navigation information. These second and third stages rely on compression-based tools (dimensionality reduction, vector quantization, and coding) that are enhanced by knowledge of (approximate) location of objects.
Keywords: image retrieval; image analysis; location; navigation
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MDPI and ACS Style
Lillo, A.D.; Daptardar, A.; Thomas, K.; Storer, J.A.; Motta, G. Compression-Based Tools for Navigation with an Image Database. Algorithms 2012, 5, 1-17.
Lillo AD, Daptardar A, Thomas K, Storer JA, Motta G. Compression-Based Tools for Navigation with an Image Database. Algorithms. 2012; 5(1):1-17.
Lillo, Antonella Di; Daptardar, Ajay; Thomas, Kevin; Storer, James A.; Motta, Giovanni. 2012. "Compression-Based Tools for Navigation with an Image Database." Algorithms 5, no. 1: 1-17.