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Keywords
(7)
Complexity Theory
Content Based Image Retrieval
Digital Signal Processing
Experimental Validation
Image Recognition
Image Retrieval
Low Complexity
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Low complexity image recognition algorithm for handheld applications
Low complexity image recognition algorithm for handheld applications,10.1109/PRIME.2011.5966243,P. Ayyalasomayajula,S. Grassi,P.-A. Farine
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Low complexity image recognition algorithm for handheld applications
(
Citations: 1
)
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P. Ayyalasomayajula
,
S. Grassi
,
P.-A. Farine
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.
Conference:
Research in Microelectronics and Electronics Ph.D - PRIME
, 2011
DOI:
10.1109/PRIME.2011.5966243
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Citation Context
(1)
...The images were manually aligned and cropped using a printed visual reference [
6
]...
...The proposed CDCC retrieval method was implemented as part of a pictogram/picture recognition system called PictoBar [
6
], a handheld Alternative and Augmentative Communication (AAC) device used in speech rehabilitation and education...
P. Ayyalasomayajula
,
et al.
Rotation, scale and translation invariant image retrieval method based...
References
(5)
Content-Based Image Retrieval at the End of the Early Years
(
Citations: 2445
)
Arnold W. M. Smeulders
,
Marcel Worring
,
Simone Santini
,
Amarnath Gupta
,
Ramesh Jain
Journal:
IEEE Transactions on Pattern Analysis and Machine Intelligence - PAMI
, vol. 22, no. 12, pp. 1349-1380, 2000
Image retrieval: Ideas, influences, and trends of the new age
(
Citations: 540
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Ritendra Datta
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Dhiraj Joshi
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Jia Li
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James Ze Wang
Journal:
ACM Computing Surveys - CSUR
, vol. 40, no. 2, pp. 1-60, 2008
Rotation, scale and translation invariant image retrieval method based on circular segmentation and color density
(
Citations: 1
)
P. Ayyalasomayajula
,
S. Grassi
,
P.-A. Farine
Published in 2011.
Efficient Compressed Domain Target Image Search and Retrieval
(
Citations: 10
)
Javier Bracamonte
,
Michael Ansorge
,
Fausto Pellandini
,
Pierre-andré Farine
Conference:
Conference on Image and Video Retrieval - CIVR
, pp. 154-163, 2005
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
(
Citations: 877
)
James Ze Wang
,
Jia Li
,
Gio Wiederhold
Journal:
IEEE Transactions on Pattern Analysis and Machine Intelligence - PAMI
, vol. 23, no. 9, pp. 947-963, 2001
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Citations
(1)
Rotation, scale and translation invariant image retrieval method based on circular segmentation and color density
(
Citations: 1
)
P. Ayyalasomayajula
,
S. Grassi
,
P.-A. Farine
Published in 2011.