Low complexity image recognition algorithm for handheld applications
Ayyalasomayajula, Pradyumna; Grassi Pauletti, Sara; Farine, Pierre-André
2011

Files

Abstract

We propose a low complexity image recognition algorithm based on Content Based Image Retrieval (CBIR) suitable for handheld applications. The target application is an Alternative and Augmentative Communication (AAC) device used in speech rehabilitation and education. The device recognizes images (pictograms and pictures) and plays a sound message associated with the recognized image. Experimental validation of the proposed algorithm using MATLAB and its DSP implementation is presented.

Details

Title Low complexity image recognition algorithm for handheld applications
Author(s) Ayyalasomayajula, Pradyumna ; Grassi Pauletti, Sara ; Farine, Pierre-André
Published in Proceedings of the 7th Conference on Ph.D. Research in Microelectronics and Electronics
Pages 165-168
Conference 7th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME), Madonna di Campiglio, Trento, Italy, July 3-7, 2011
Date 2011
Publisher IEEE
ISBN 978-1-4244-9136-0
Keywords
DOI https://doi.org/10.1109/PRIME.2011.5966243
Laboratories ESPLAB
Record Appears in Scientific production and competences > STI - School of Engineering > IEM - Institut d'Electricité et de Microtechnique > ESPLAB - Electronics and Signal Processing Laboratory
Peer-reviewed publications
Conference Papers
Work produced at EPFL
Published
Record creation date 2011-09-09

PDF