DocumentCode :
2051948
Title :
Applications of Compression to Content Based Image Retrieval and Object Recognition
Author :
Lillo, Antonella Di ; Daptardar, Ajay ; Thomas, Kevin ; Storer, James A. ; Motta, Giovanni
fYear :
2011
fDate :
21-24 June 2011
Firstpage :
179
Lastpage :
189
Abstract :
We present compression related methods 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 visually impaired user. 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.
Keywords :
content-based retrieval; handicapped aids; image colour analysis; image retrieval; image texture; mobile computing; natural scenes; object recognition; visual databases; accurate location information computation; content based image retrieval; image database; image processing; local urban environment; mobile device; object recognition; passive assistant; scene color analysis; scene texture analysis; visually impaired user; Databases; Feature extraction; Image coding; Image color analysis; Image segmentation; Object recognition; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression, Communications and Processing (CCP), 2011 First International Conference on
Conference_Location :
Palinuro
Print_ISBN :
978-1-4577-1458-0
Electronic_ISBN :
978-0-7695-4528-8
Type :
conf
DOI :
10.1109/CCP.2011.51
Filename :
6061125
Link To Document :
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