The objective of this document is to survey the existing applications for visual-based mobile image search and investigate their technical and socio-economic aspects.
To this end, the authors go through the basic architecture of these applications and list the utilized technologies. Moreover, they provide an overview of the user needs and usage patterns of such applications, as well as a brief description of the business models that are currently employed.
The most significant part of the document is devoted on presenting 12 of such mobile image search applications, where for each one brief background information are provided, the functionality of the offered service and the domain of target users are described, and the adopted business model are discussed (Kooaba, IQ Engines (oMoby), Mobile Acuity, LinkMe Mobile, SnapTell, Point & Find (Nokia), Gazopa, Google Goggles, CLIC2C, WeKnowIt Image Recognizer, Wizup, TinEye Mobile).
In concluding, the authors compare the examined applications in terms of the adopted technology, target users and business model and identify the most important trends in the sector both from a technological and socio-economic perspective.
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