000148411 001__ 148411
000148411 005__ 20190316234801.0
000148411 0247_ $$2doi$$a10.1117/12.855626
000148411 037__ $$aCONF
000148411 245__ $$aCell Phones as Imaging Sensors
000148411 269__ $$a2010
000148411 260__ $$bSPIE$$c2010
000148411 336__ $$aConference Papers
000148411 500__ $$aInvited Paper
000148411 520__ $$aCamera phones are ubiquitous, and consumers have been adopting them faster than any other technology in modern history. When connected to a network, though, they are capable of more than just picture taking: Suddenly, they gain access to the power of the cloud. We exploit this capability by providing a series of image-based personal advisory services. These are designed to work with any handset over any cellular carrier using commonly available Multimedia Messaging Service (MMS) and Short Message Service (SMS) features. Targeted at the unsophisticated consumer, these applications must be quick and easy to use, not requiring download capabilities or preplanning. Thus, all application processing occurs in the back-end system (i.e., as a cloud service) and not on the handset itself. Presenting an image to an advisory service in the cloud, a user receives information that can be acted upon immediately. Two of our examples involve color assessment – selecting cosmetics and home décor paint palettes; the third provides the ability to extract text from a scene. In the case of the color imaging applications, we have shown that our service rivals the advice quality of experts. The result of this capability is a new paradigm for mobile interactions — image-based information services exploiting the ubiquity of camera phones.
000148411 6531_ $$aImage processing and computer vision
000148411 6531_ $$aApplication and expert systems
000148411 6531_ $$aRecommendation systems
000148411 6531_ $$aMobile based image services
000148411 6531_ $$aCloud computing
000148411 6531_ $$aCamera phones
000148411 6531_ $$aCell phones
000148411 6531_ $$aIVRG
000148411 700__ $$aBhatti, Nina
000148411 700__ $$aBaker, Harlyn
000148411 700__ $$aMarguier, Joanna
000148411 700__ $$aBerclaz, Jérôme
000148411 700__ $$g125681$$aSüsstrunk, Sabine$$0241946
000148411 7112_ $$dApril 5-9, 2010$$cOrlando, Florida, USA$$aSPIE Defense, Security, and Sensing: Mobile Multimedia/Image Processing, Security, and Applications 2010
000148411 773__ $$j7708$$tSPIE Mobile Multimedia/Image Processing, Security, and Applications 2010
000148411 8564_ $$uhttps://infoscience.epfl.ch/record/148411/files/Mobile_Imaging_Bhatti_etal_final.pdf$$zn/a$$s9446078
000148411 909C0 $$xU10429$$0252320$$pIVRL
000148411 909CO $$ooai:infoscience.tind.io:148411$$qGLOBAL_SET$$pconf$$pIC
000148411 917Z8 $$x125681
000148411 917Z8 $$x114218
000148411 917Z8 $$x125681
000148411 937__ $$aEPFL-CONF-148411
000148411 973__ $$rNON-REVIEWED$$sPUBLISHED$$aEPFL
000148411 980__ $$aCONF