Title
Intelligent eye: location-based multimedia information for mobile phones
Abstract
This paper describes Intelligent Eye, a mobile phone interactive leisure guide that offers location-based multimedia information. The information offered is related to the user's position, so the main goal of this work is the development of an efficient system to detect where the user is pointing his/her camera at by means of a content-based image retrieval algorithm (CBIR). The CBIR procedure uses color histograms in the HS color space extracted from images, and employs Kullback-Leibler divergence as the similarity measure. Intelligent Eye can be used in a wide range of camera-equipped mobile phones; however, efficiency is improved if GPS data is available. In order to outperform other systems we have made use of a video stream in the classification process instead of using still images. Moreover, the image database can be populated dynamically by means of a feedback procedure with images taken by users. We report preliminary results of the prototype working with real images obtaining a hit classification rate of 96%.
Year
DOI
Venue
2010
10.1145/1967486.1967618
iiWAS
Keywords
Field
DocType
cbir procedure,hit classification rate,intelligent eye,image database,feedback procedure,camera-equipped mobile phone,color histogram,classification process,location-based multimedia information,content-based image retrieval algorithm,hs color space,gps,user experience,kullback leibler divergence,population dynamic,color space
Computer vision,User experience design,Color space,Similarity measure,Computer science,Image retrieval,Context awareness,Global Positioning System,Artificial intelligence,Real image,Mobile phone
Conference
Citations 
PageRank 
References 
1
0.37
7
Authors
4
Name
Order
Citations
PageRank
Esther De Ves1708.61
Inmaculada Coma2507.46
Marcos Fernández34511.23
Jesus Gimeno4307.96