CHORUS+ objective is to coordinate national and international projects and initiatives in the Search-engine domain and to extend this Coordination in non-European countries.
CHORUS+ aims at creating the conditions of mutual information exchange and cross fertilisation between the FP7 projects in the search-engines domain and the recently launched national and international initiatives in this area. A particular emphasis on setting concrete R&D and industrial objectives for multimedia search in Europe is planned through the implementation of discussion groups limited to selected representatives (industry and academia) and the organisation of and open participation in workshops, conferences and summer schools.
At the business level, CHORUS+ aims to foster discussion and avoid fragmentation. The outcome of this discussion will address the interests, needs and challenges of technology producers, content owners and consumer
At the technology level, numerous initiatives on analysing, annotating, classifying or otherwise linking audio-visual content will take place with the final aim to ease navigation, access and use of virtually unlimited quantities of audio-visual content.
CHORUS+ believes that, in order to address the large variety of potential use cases and the great level of uncertainty regarding future success stories, the profusion of initiatives is beneficial and will trigger competition between projects leading to better results.
The Chorus + factsheet can be downloaded here
"Mobile Image Search" - The survey |
May 2011 |
| on the existing applications for visual-based mobile image search also investigating their technical and socio-economic aspects. |
|
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. |