Low complexity image recognition algorithm for handheld applications

Author

Ayyalasomayajula, P. ; Grassi, S. ; Farine, P.-A.

Author_Institution

Electron. & Signal Process. Lab., Ecole Polytech. Fed. de Lausanne, Neuchâtel, Switzerland

fYear

2011

fDate

3-7 July 2011

Firstpage

165

Lastpage

168

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.

Keywords

content-based retrieval; image recognition; image retrieval; AAC device; DSP; MATLAB; alternative and augmentative communication device; content based image retrieval; handheld applications; low complexity image recognition algorithm; speech rehabilitation; Cameras; Codecs; Complexity theory; Databases; Digital signal processing; Image recognition; MATLAB; AAC; Alternative and Augmentative Communication; CBIR; Content based image retrieval; Handheld image recognition system; Image retrieval;

fLanguage

English

Publisher

ieee

Conference_Titel

Ph.D. Research in Microelectronics and Electronics (PRIME), 2011 7th Conference on

Conference_Location

Trento

Print_ISBN

978-1-4244-9138-4

Electronic_ISBN

978-1-4244-9136-0

Type

conf

DOI

10.1109/PRIME.2011.5966243

Filename

5966243