Abstract
The authors present a novel method for video retrieval on mobile devices. The target scenario is the following: features are extracted from a captured query video at the user side and transmitted to a remote server; then, video retrieval is applied within a stored database at the server side and relevant information about the query is returned to the user. In particular, we focus on the user side and propose a scalable method for video feature extraction and encoding taking into consideration the processing capabilities of the device and available bandwidth. Despite these constraints, the first results show a promising accuracy of retrieval.Citation
Morbee, M., Velisavljevic, V., Mrak, M. and Philips, W. (2009) 'Scalable feature-based video retrieval for mobile devices', ACM Int. Conf. on Internet Multimedia Computing and Service (ICIMCS-2009), Kunming, Yunnan, China, November 2009. Kunming: ACM, pp.3-9Publisher
ACMAdditional Links
http://dl.acm.org/citation.cfm?id=1734611Type
Conference papers, meetings and proceedingsLanguage
enISBN
9781605588407ae974a485f413a2113503eed53cd6c53
10.1145/1734605.1734611