Title :
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
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;
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
DOI :
10.1109/PRIME.2011.5966243
